面向大规模流媒体服务的高性能存储系统研究
|
摘要
对流媒体服务平台性能影响最大的因素包括：流媒体服务器的最大吞吐量、流媒体服务器的Internet接入速率、流媒体存储系统的最大吞吐量。内容分发网络与缓存服务器将流媒体服务的访问点从流媒体服务器变为靠近用户所在区域的缓存服务器，降低了Internet主干网络带宽波动对流媒体服务质量的影响，同时也降低了对流媒体服务器接入速率的要求。客户端P2P数据共享机制减小了流媒体服务器的访问负载，降低了对流媒体服务器吞吐量与Internet接入速率的要求。而流媒体存储系统作为流媒体服务平台的核心部件却研究较少，流媒体的软实时特性使得流媒体存储系统和一般的高性能存储系统的性能指标存在很大不同，在流媒体服务中直接应用一般的高性能存储系统并不能获得最好的服务性能，必须针对流媒体应用的特性设计对应的高性能存储系统。
本文研究面向Internet的大规模流媒体服务所需的存储系统结构，其目标是以较低的成本提供高性能、支持QoS确保机制的流媒体存储服务。主要内容如下：
1．分析主要的流媒体服务平台体系结构以及已有的各种高性能存储系统直接应用于流媒体服务时存在的不足，指出了研究面向流媒体服务的高性能存储系统的重要性。
2．通过系统仿真手段研究了流媒体服务的负载特性，以此为基础研究了存储系统服务性能与缓存容量、数据访问粒度、磁盘带宽之间的关系，获得了存储节点的设计规则。
3．提出了数据条带化分片存储与并行访问相结合的高性能存储系统，通过采用并行元数据服务器结构，获得了比类似系统更高的可用性和更高的性能。4．提出了基于三级目录结构的元数据检索机制，提高了检索性能。通过元数据服务器中的快表机制，提高了热点元数据的查询性能。通过在元数据服务中引入元数据预取机制，减小了影片服务过程中查询元数据信息的次数。通过在元数据服务的使用者中引入元数据信息缓存机制，避免了对同一个数据对象多次请求元数据信息而伴随的开销。
5．为了进一步提升存储系统的服务性能，在流媒体服务器与存储系统之间引入了独立的分布式缓存层。通过统一管理分布式缓存层的各个节点的缓存空间，构建了全局可见的数据缓冲池。分布式缓存层显著改善了存储系统的访问性能，特别是热点数据的访问性能。
6．提出了一种结合了可变比例区分服务模型、接纳控制、多描述编码的服务质量确保机制，为流媒体存储系统提供了服务质量确保能力。
7．针对流媒体服务的运营商向Internet上不同区域的多个存储系统部署影片的需求，提出了一种基于最优化服务带宽分配策略，可以适应Internet网络带宽波动的目标节点协同数据分发机制，通过目标节点相互提供对方所需的数据，提高了影片分发性能，降低了数据源节点的负载。
The most important factors that influence the performance of the streaming server platform include: streaming server's maximum throughput, streaming server's Internet connect speed, and streaming storage server's maximum throughput. Content Delivery Network and cache server transfer streaming service's access point from the streaming server to the cache server which is deployed in the area near the client. This mechanism can reduce the negative effects on the quality of streaming service, which is caused by the fluctuating of the bandwidth of the network, and also can reduce the requirements to streaming server's Internet connect speed. Streaming server's load is reduced by P2P data sharing mechanism introduced among streaming clients. Thus the requirements of streaming server's maximum throughput and Internet connect speed are reduced too. Although the streaming storage system is one of the most important components in a streaming server platform, there are relative few researches on it. The soft real-time characteristic of the streaming applications makes a significant difference between the performance indices of the ordinary high performance storage system and those of the streaming storage system. In general, the ordinary high performance storage system cannot get best performance if it is used directly in the streaming service. So it is necessary to design a special high performance storage system according to the characteristics of the streaming applications.
In this thesis, the architecture of the storage system for Internet-based large scale streaming service is studied. The goal is to provide the streaming storage service with high performance, the support of the QoS ensuring mechanism, and affordable system investments. The main results are summarized as follows:
1. The shortcomings, which occur when popular streaming system architectures and high performance storage systems are used directly in the streaming service, are analyzed in detail. Based on this analysis, the importance of designing a new high performance storage system for streaming service is pointed out and analyzed in detail.
2. The load characteristics of the concurrent streaming traffic are analyzed through system simulations. Based on this research, the relationship between the performance of the storage system and several factors, including cache size, data size and disk bandwidth, is studied, and then the design rules for the storage nodes are obtained.
3. A high performance storage system based on the stripped data storage and the concurrent data access mechanism is proposed. By introducing the parallel service ability in metadata server, the performance of this system is superior to other existing systems.
4. A three-level directory search method is proposed to improve the index performance. By introducing the fast table mechanism in metadata server, this method improves the index performance of hot metadata query service. Also, this method introduces the metadata prefetch mechanism in metadata query to reduce query frequency in the film service procedure. Besides that, this method uses the metadata cache mechanism to prevent repeatedly querying the metadata information of the same data object in the storage client. Thus the metadata server's cost is reduced.
5. In order to further improve storage system's performance, the distributed cache layer between the streaming server and the storage system is introduced. By uniformly managing all storage space of the nodes in the distributed cache layer, a global visible cache pool is built. This mechanism improves storage system's performance greatly, especially for data with hot access frequency.
6. A mechanism which integrates variable QoS differentiated services model, access control, and the QoS ensuring mechanism of MDC coding method is proposed. It can provide the ability of ensuring QoS for the streaming storage system.
7 According to the requirement of the service provider to distribute video file to different areas in Internet, a data cooperative distribution mechanism based on optimum distribution bandwidth allocation policy is proposed, which is suitable for the fluctuating of Internet bandwidth. By cooperatively providing data to other destination nodes, it can improve video file's distribution performance and reduce the load of the source node..
本文研究面向Internet的大规模流媒体服务所需的存储系统结构，其目标是以较低的成本提供高性能、支持QoS确保机制的流媒体存储服务。主要内容如下：
1．分析主要的流媒体服务平台体系结构以及已有的各种高性能存储系统直接应用于流媒体服务时存在的不足，指出了研究面向流媒体服务的高性能存储系统的重要性。
2．通过系统仿真手段研究了流媒体服务的负载特性，以此为基础研究了存储系统服务性能与缓存容量、数据访问粒度、磁盘带宽之间的关系，获得了存储节点的设计规则。
3．提出了数据条带化分片存储与并行访问相结合的高性能存储系统，通过采用并行元数据服务器结构，获得了比类似系统更高的可用性和更高的性能。4．提出了基于三级目录结构的元数据检索机制，提高了检索性能。通过元数据服务器中的快表机制，提高了热点元数据的查询性能。通过在元数据服务中引入元数据预取机制，减小了影片服务过程中查询元数据信息的次数。通过在元数据服务的使用者中引入元数据信息缓存机制，避免了对同一个数据对象多次请求元数据信息而伴随的开销。
5．为了进一步提升存储系统的服务性能，在流媒体服务器与存储系统之间引入了独立的分布式缓存层。通过统一管理分布式缓存层的各个节点的缓存空间，构建了全局可见的数据缓冲池。分布式缓存层显著改善了存储系统的访问性能，特别是热点数据的访问性能。
6．提出了一种结合了可变比例区分服务模型、接纳控制、多描述编码的服务质量确保机制，为流媒体存储系统提供了服务质量确保能力。
7．针对流媒体服务的运营商向Internet上不同区域的多个存储系统部署影片的需求，提出了一种基于最优化服务带宽分配策略，可以适应Internet网络带宽波动的目标节点协同数据分发机制，通过目标节点相互提供对方所需的数据，提高了影片分发性能，降低了数据源节点的负载。
The most important factors that influence the performance of the streaming server platform include: streaming server's maximum throughput, streaming server's Internet connect speed, and streaming storage server's maximum throughput. Content Delivery Network and cache server transfer streaming service's access point from the streaming server to the cache server which is deployed in the area near the client. This mechanism can reduce the negative effects on the quality of streaming service, which is caused by the fluctuating of the bandwidth of the network, and also can reduce the requirements to streaming server's Internet connect speed. Streaming server's load is reduced by P2P data sharing mechanism introduced among streaming clients. Thus the requirements of streaming server's maximum throughput and Internet connect speed are reduced too. Although the streaming storage system is one of the most important components in a streaming server platform, there are relative few researches on it. The soft real-time characteristic of the streaming applications makes a significant difference between the performance indices of the ordinary high performance storage system and those of the streaming storage system. In general, the ordinary high performance storage system cannot get best performance if it is used directly in the streaming service. So it is necessary to design a special high performance storage system according to the characteristics of the streaming applications.
In this thesis, the architecture of the storage system for Internet-based large scale streaming service is studied. The goal is to provide the streaming storage service with high performance, the support of the QoS ensuring mechanism, and affordable system investments. The main results are summarized as follows:
1. The shortcomings, which occur when popular streaming system architectures and high performance storage systems are used directly in the streaming service, are analyzed in detail. Based on this analysis, the importance of designing a new high performance storage system for streaming service is pointed out and analyzed in detail.
2. The load characteristics of the concurrent streaming traffic are analyzed through system simulations. Based on this research, the relationship between the performance of the storage system and several factors, including cache size, data size and disk bandwidth, is studied, and then the design rules for the storage nodes are obtained.
3. A high performance storage system based on the stripped data storage and the concurrent data access mechanism is proposed. By introducing the parallel service ability in metadata server, the performance of this system is superior to other existing systems.
4. A three-level directory search method is proposed to improve the index performance. By introducing the fast table mechanism in metadata server, this method improves the index performance of hot metadata query service. Also, this method introduces the metadata prefetch mechanism in metadata query to reduce query frequency in the film service procedure. Besides that, this method uses the metadata cache mechanism to prevent repeatedly querying the metadata information of the same data object in the storage client. Thus the metadata server's cost is reduced.
5. In order to further improve storage system's performance, the distributed cache layer between the streaming server and the storage system is introduced. By uniformly managing all storage space of the nodes in the distributed cache layer, a global visible cache pool is built. This mechanism improves storage system's performance greatly, especially for data with hot access frequency.
6. A mechanism which integrates variable QoS differentiated services model, access control, and the QoS ensuring mechanism of MDC coding method is proposed. It can provide the ability of ensuring QoS for the streaming storage system.
7 According to the requirement of the service provider to distribute video file to different areas in Internet, a data cooperative distribution mechanism based on optimum distribution bandwidth allocation policy is proposed, which is suitable for the fluctuating of Internet bandwidth. By cooperatively providing data to other destination nodes, it can improve video file's distribution performance and reduce the load of the source node..
引文
[1]王克非．超大规模VOD系统体系结构及服务策略的研究与实现：[博士学位论文]．长沙：国防科技大学，2001，1-102
[2]MPEG1 standard from ISO.Proceedings of the IFIP TC6/WG6.4 International Conference on High Performance Networking,1993,234-236
[3]Corset Ⅰ.MPEG2:A standard for digital moving picture coding.Proceedings of the Tirrenia International Workshop on Digital Communications,1993,111-113
[4]Bober Miroslaw,Kittler Josef.Video coding for mobile communications-MPEG4 perspective.Proceedings of the IEE Colloquium on the Future of Mobile Multimedia Communications,1996,3-9
[5]Kalva Hari.The H.264 video coding standard.IEEE Multimedia,2006,13(4):86-90
[6]Fan Liang,Ma Siwei,Wu Feng.Overview of AVS video standard.IEEE International Conference on Multimedia and Expo (ICME),2004,423-426
[7]Hwe Hwa Pang,Jose B.,Krishnan M.S.Resource scheduling in a high-performance multimedia server.IEEE Transactions on Knowledge and Data Engineering,1999,11:303-320
[8]Chang E.,Zakhor A.Admissions control and data placement for VBR video servers,Proceedings.IEEE International Conference on Image Processing,1994,1:278-282
[9]Meng-Huang Lee,Chun-Hung Wen,Chih-Yuan Cheng,et al.Designing a fully interactive video-on-demand server with a novel data placement and retrieval scheme.IEEE Transactions on Consumer Electronics,1995,41:851-858
[10]Lin F.Y.-S.Optimal real-time admission control algorithms for the video-on-demand (VOD) service.IEEE Transactions on Broadcasting,1998,44:402-408
[11]Xia Z.,Hao W.,Yen I.-L.,et al.A distributed admission control model for QoS assurance in large-scale media delivery systems.IEEE Transactions on Parallel and Distributed Systems,2005,16:1143-1153
[12] Zhenghang Yan, Yuhang Yang, Ma M. A Novel Admission Control Algorithm for VOD Service in ADSL P2P Networks. 10th IEEE Singapore Internationa] Conference on Communication systems, 2006 , 1 -5
[13] Hesselman C., Eertink H. Hierarchical broadcasting in the future mobile Internet. Proceedings of 28th Euromicro Conference, 2002,224-228
[14] Jurca D., Frossard P. Video Packet Selection and Scheduling for Multipath Streaming. IEEE Transactions on Multimedia, 2007, 3(9):629-641
[15] Vleeschouwer De, Frossard C. P. Dependent Packet Transmission Policies in Rate-Distortion Optimized Media Scheduling.IEEE Transactions on Multimedia, 2007,6(9): 1241-1258
[16] Berthold J. Evolution of WDM in transport networks. Optical Fiber Communication Conference and Exhibit, 1998,1:133-145
[17] Ghani N., Dixit S., Ti-Shiang Wang. On IP-over-WDM integration. IEEE Communications Magazine, 2000, 28:72-84
[18] Kovacikova Tatiana, Segec Pavol. NGN Standards Activities in ETSIICN. Sixth International Conference on Networking, 2007, 76-76
[19] Le Chae-Sub. IPTV over Next Generation Networks in ITU-T. 2nd IEEE/IFIP International Workshop on Broadband Convergence Networks, 2007, 1-18
[20] Kim J.Y., Hahm J.H., Kim Y.S., et al. NGN architecture for IPTV service without effect on conversational services. The 8th International Conference on Advanced Communication Technology, 2006, 465-469
[21] Michael Zink, Andreas Mauthe. P2P streaming using multiple description coded video. Proceedings of 30th Euromicro Conference, 2004, 240-247
[22] Liao Xiaofei, Jin Hai, Liu Yunhao, et al. Scalable Live Streaming Service Based on Interoverlay Optimization. IEEE Transactions on Parallel and Distributed Systems, 2007,18(12):1663-1674
[23] Asrar-Haghighi K., Pourmohammadi Y., Alnuweiri H.M. Delivery of MPEG-4 Object Based Multimedia in a Multicast Environment. Proceedings of International Conference on Information Technology 2002: Coding and Computing, 2002, 446-451
[24] Suzuki S., Kodama M. Scalability Video Data Distribution Using Cache Terminal for Multi-quality Video Service. IEEE International Symposium on Communications and Information Technology, 2004,344-349
[25] Sang-ho Park, Jaewoon Jeong, Taekyoung Kwon.Contents distribution system based on MPEG-4 ISMACryp in IP set-top box environments. IEEE Transactions on Consumer Electronics, 2006, 52:660-668
[26] Percador F., Sanz C., Garrido M.J., et al. A DSP based IP set-top box for home entertainment. IEEE Transactions on Consumer Electronics, 2006, 52:254-262
[27] Rong Cheng, Hai Jin, Ke Shi, et al. An Anycast-based P2P Routing Protocol for Mobile Ad hoc Networks. The First IEEE and IFIP International Conference in Central Asia on Internet, 2005, 1-5
[28] Igor D.D. Curcio, David Leon. Application Rate Adaptation for Mobile Streaming. 6th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks,2005,66-71
[29] Tavanapong W., Tran M., Zhou J. et al. Video Caching Network for on-demand Video Streaming. IEEE Global Telecommunications Conference, 2002, 2:1723-1727
[30] Songqing Chen, Bo Shen, Wee, S. et al. Designs of High Quality Streaming Proxy Systems. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies, 2004,3:1512-1521
[31] Song Wu, Hai Jin, Jie Chu. et al.A Novel Cache Scheme for Cluster-based Streaming Proxy Server.25th IEEE International Conference on Distributed Computing Systems Workshops, 2005, 727-733
[32] Songqing Chen, Bo Shen, Wee, S. et al. Segment-based streaming media proxy: modeling and optimization.IEEE Transactions on Multimedia, 2006, 8(2):243-256
[33] Cranor C. D., Green M., Kalmanek C. et al. Enhanced streaming services in a content distribution network, IEEE Internet Computing,2001,5(4):66-75
[34] Fortino Giancarlo, Mastroianni Carlo, Russo Wilma. Collaborative media streaming services based on CDNs, 2008, 9:297-316
[35] Kontothanassis Leonidas, Sitaraman Ramesh, Wein Joel, et al. A transport layer for live streaming in a content delivery network. Proceedings of the IEEE, 2004,92(9): 1408-1419
[36] Liang Chao, Guo Yang,Liu Yong. Hierarchically clustered P2P streaming system. Proceedings of IEEE Global Telecommunications Conference, 2007, 236-241
[37] Liu De-Kai, Wang Ren-Hung. P2broadcast: A hierarchical clustering live video streaming system for P2P networks.International Journal of Communication Systems, 2006, 19(6):619-637
[38] Luo Jian-Guang, Zhang Meng, Zhao Li. et al. A large-scale live video streaming system based on P2P networks, Journal of Software, 2007, 18(2):391-399
[39] Luan Hao, Kwong Kin-Wah, Huang Zhe. et al. P2P live streaming towards best video quality, 5th IEEE Consumer Communications and Networking Conference, 2008, 458-463
[40] Roussopoulos Mema, Baker Mary, Rosenthal David, et al. 2 P2P or not 2 P2P?. Third Internationa] Workshop on Peer-to-Peer Systems, 2004, 33-43
[41] Xu Dongyan, Kulkarni Sunil Suresh, Rosenberg Catherine. et al. Analysis of a CDN-P2P hybrid architecture for cost-effective streaming media distribution. Multimedia Systems,2006,383-399
[42] Guomin Zhang, Changyou Xing, Ming Chen. A distributed multimedia CDN model with P2P architecture, 2006 International Symposium on Communications and Information Technologies, 2006, 152-156
[43] Guo Lei, Chen Songqing, Zhang Xiaodong. Design and evaluation of a scalable and reliable P2P assisted proxy for on-demand streaming media delivery. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(5):669-682
[44] Guo Lei, Chen Songqing, Ren Shansi. et al. PROP: A Scalable and Reliable P2P Assisted Proxy Streaming System. Proceedings of 24th International Conference on Distributed Computing Systems, 2004, 24:778-786
[45] Bhargava Bharat, Riedl John. Implementation of RAID. Proceedings of Seventh Symposium on Reliable Distributed Systems, 1988, 157-166
[46] Katz Randy H. Network-attached storage systems. Proccedings of the Scalable High Performance Computing Conference-SHPCC-92, 1992, 68-75
[47] Lala Tapan K. Storage area networking. IEEE Communications Magazine, 2003,41(8):70-71
[48] Arunachalam Meenakshi, Choudhary Alok, Rullman Brad.Implementation and evaluation of prefetching in the intel paragon parallel file system. Proceedings of the 1996 10th International Parallel Processing Symposium, 1996, 554-554
[49] Rajesh Bordawekar, Steven Landherr, Don Capps, and Mark Davis. Experimental evaluation of the Hewlett-Packard Exemplar file system. ACM SIGMETRICS Performance Evaluation Review, 1997, 25(3):21-28
[50]Frank Schmuck,Roger Haskin.GPFS:A Shared-Disk File System for Large Computing Clusters.Proceedings of the Conference on File and Storage Technologies(FAST’02).2002,231-244
[51]Adam Sweeney,Doug Doucette,PWei Hu,Curtis Anderson,Mike Nishimoto,Geoff Peck.Scalability in the XFS file system.Proceedings of the 1996 annual conference on USENIX Annual Technical Conference.1996,1-1
[52]John H Howard.An Overview of the Andrew File System.InformationTechnology Center.Carnegie Mellon University.CMU-ITC-88-062 Technique Report
[53]www.openafs.org
[54]www.stacken.kth.se/project/arla/
[55]Satyanarayanan Mahadev,Kistler James J.,Kumar Puneet.et.al.Steere David C.Coda:A highly available file system for a distributed workstation environment.IEEE Transactions on Computers,1990,39(4):447-459
[56]Moyer Steven A.,Sunderam V.S.PIOUS:A scalable parallel I/O system for distributed computing environments.Proceedings of the Scalable High-Performance Computing Conference,1994,71-78
[57]Ross Robert,Latham Robert.PVFS:A parallel file system.Proceedings of the 2006 ACM/IEEE Conference on Supercomputing.2006,118-130
[58]AndersonThomas E.,Dahlin Michael D.,Neefe Jeanna M.et.al.Serverless network file systems.ACM Transactions on Computer Systems,1996,14(1):41-79
[59]www.redhat.com/gfs/
[60]Ghemawat Sanjay,Gobioff Howard,Leung Shun-Tak.The google file system.Operating Systems Review (ACM),2003,37(5):29-43
[61]Dan Muntz.Building a Single Distributed File System from Many NFS Servers.Tenth Goddard Conference on Mass Storage Systems and Technologies.2002,59-64
[62]Yu Weikuan,Noronha Ranjit,Liang Shuang.et.al.Benefits of high speed interconnects to cluster file systems:A case study with lustre.20th International Parallel and Distributed Processing Symposium.2006,163-170
[63]hadoop.apache.org/core/
[64]程斌，金海，李胜利等．HANDY：一种具有动态扩展性的集群文件系统．小型微型计算机系统，2006，27(12)：2189-2195
[65]杨峰，刘心松，罗朝劲．分布式并行网络数据存储技术．计算机科学，2002，29(12)：109-111
[66]刘心松．具有分布式并行I／O接口的分布式并行服务器系统的性能研究．电子学报，2002，30(12)：806-810
[67]吴思宁，贺劲，熊劲等．DCFS机群文件系统服务器组的设计与实现．微电子学与计算机，2004，6：30-33
[68]Fedotova Natalya,Fanti Stefano,Veltri Luca.Kademlia for data storage and retrieval in enterprise networks.Proceedings of the 3rd International Conference on Collaborative Computing:Networking,Applications and Worksharing,CollaborateCom.2007,382-386
[69]Castro M.,Druschel P.,Hu Y.C..et.al.Exploiting network proximity in peer-to-peer overlay networks.Technical report MSR-TR-2002-82,2002
[70]Zhao B.Y.,Ling Huang,Stribling J.et.al.Tapestry:a resilient global-scale overlay for service deployment.IEEE Journal on Selected Areas in Communications,2004,22(1):41-53
[71]Stoica I.,Morris R.,Liben-Nowell D.Chord:a scalable peer-to-peer lookup protocol for Internet applications.IEEE/ACM Transactions on Networking,2003,11 (1):17-32
[72]Handurukande S.B.,Kermarrec A.-M.,Le Fessant F.et.al.Peer sharing behaviour in the eDonkey network,and implications for the design of server-less file sharing systems.Proceedings of the 2006 EuroSys Conference.2006,359-371
[73]dcplusplus.sourceforge.net
[74]Liu Jian,Copeland John.Comparison of web and kazaa traffic on self-similarity:A case study.Proceedings of the Fourth IASTED International Multi-Conference on Wireless and Optical Communications,2004,86-91
[75]Nagaraja Kiran,Rollins Sami,Khambatti Mujtaba.From the editors:Peer-to-peer community:Looking beyond the legacy of napster and gnutella.IEEE Distributed Systems Online,2006,7(3):59-63
[76]Dabek Frank,Kaashoek M.Frans,Karger David.et.al.Wide-area cooperative storage with CFS.Operating Systems Review (ACM),2001,35(5):202-215
[77]Kubiatowicz J.,Bindel D.,Chen Y.et.al.OceanStore:An architecture for global-scale persistent storage.9th Internatinal Conference Architectural Support for Programming Languages and Operating Systems (ASPLOS-IX).2000,190-201
[78] Druschel P.,Rowstron A. PAST: A large-scale, persistent peer-to-peer storage utility. Proceedings of the Eighth Workshop on Hot Topics in Operating Systems. 2001, 75-80
[79] Muthitacharoen A., Morris R., Gil T. M.. et. al. Chen. Ivy: A Read/Write Peer-to-Peer File System. In Proceedings of 5th Symposium on Operating Systems Design and Implementation.2002, 31-44
[80] Atul Adya, William J. Bolosky P., Miguel Castro. et. al. Farsite : federated, available, and reliable storage for an incompletely trusted environment. Proceedings of the 5th symposium on Operating systems design and implementation. 2002, 1-14
[81] Zhang Z, Lian Q, Lin S. et. al. BitVault: a highly reliable distributed data retention platform. ACM SIGOPS Operating Systems Review, 2007, 41(2):27-36
[82] Bhagwan R, Tati K, Cheng Y. et. al. Total Recall: System Support for Automated Availability Management. 1st Symposium on Networked Systems Design and Implementation. 2004, 337-350
[83] Hu Jinfeng, Hong Chunhui, Zheng Weimin. Granary: An architecture of object oriented internet storage service. IEEE International Conference on E-Commerce Technology for Dynamic E-Business, 2004, 294-297
[84] Jing Tian, Zhi Yang, Yafei Dai.A Data Placement Scheme with Time-Related Model for P2P Storages.Seventh IEEE International Conference on Peer-to-Peer Computing, 2007, 151-158
[85] Patel S.,G. Abdulla, M. Abrams. et. al. NMFS: Network Multimedia File System Protocol. Proceedings of 3rd International Workshop Network and Operating System Support for Digital Audio and Video.1992, 370-375
[86] Garth A. Gibson, Rodney Van Meter. Network Attached Storage Architecture. Communication of the ACM. 2000, 43(11):37-45
[87] Sahinoglu Z., Tekinay S. On multimedia networks: self-similar traffic and network performance. IEEE Communications Magazine, 1999, l(37):48-52
[88] Faustino M.R., Goldemberg C. The Impact of Network Applications (Web, FTP and E-mail) and Network Profiles on the Self-Similar Parameter. IEEE Latin America Transactions, 2005,4(3):54-59
[89] Beran J., Sherman M., Taqqu S. et al. Long-range dependence in variable-bit-rate video traffic. IEEE Transactions on Communications, 1995, 43(234): 1566-1579
[90]Bashforth B.N.,Williamson C.L.Statistical multiplexing of self-similar video streams:simulation study and performance results.Proceedings of Sixth International Symposium on Modeling,Analysis and Simulation of Computer and Telecommunication Systems,1998,1:119-126
[91]Kocak Y.Approximate analysis of a dynamic scheduler for self-similar video traffic in ATM networks.IEE Proceedings of Communications,2006,153(2):189-194
[92]Ng Joseph Kee-Yin,Song Shibin,Zhao Wei.Statistical delay analysis on an ATM switch with self-similar input traffic.Information Processing Letters,2000,74(3-4):163-173
[93]Ferng Huei-Wen,Chang Jin-Fu.Characterization of the output of an ATM output buffer receiving self-similar traffic.IEEE Global Telecommunicatins Conference GLOBECOM'01,2001,4:2650-2653
[94]Li Jung-Shian,Wolisz Adam,Popescu-Zeletin Radu.Fast simulation of self-similar traffic.Proceedings of the 1998 IEEE International Conference on Communications,1998,3:1829-1833
[95]Liu Shu-Gang,Wang Pei-Jin,Qu Lin-Jie.Modeling and simulation of self-similar data traffic.International Conference on Machine Learning and Cybernetics,2005,3921-3925
[96]Jeong Hae-Duck J.,Lee Jong-Suk R.,McNickle Don,et.al.Distributed steady-state simulation of telecommunication networks with self-similar teletraffic.Simulation Modelling Practice and Theory,2005,13(3):233-256
[97]Molero Xavier,Silla Federico,Santonja Vicente,et.al.Modeling and simulation of Storage Area Networks.Proceedings of the 8th Interantional Symposium on Modeling,Analysis and Simulation of Computer and Telecomunication System,2000,307-314
[98]Zhang Jizheng,Jia Huibo.I/O path based performance model for storage systems.Journal of Tsinghua University,2006,46(11):1824-1827
[99]Liu Zhaobin,Jiang Bo,Zhao Zixiang,et.al.Modeling and simulation of self-similar storage I/O.3rd International Conference on Grid and Pervasive Computing,2008,256-265
[100]符青云，刘心松，皮建勇．802．1 1b无线网络环境下视频会议系统的流量特性研究．电子测量与仪器学报，2006，20(6)：54-58
[101]符青云，刘心松，吴艾．流媒体流量特性测量模块的设计．电子测量与仪器学报，2008，22(3)：74-77
[102]ArthurC.M.,Girma D.Unified method for video traffic modelling on IP networks.Electronics Letters,2002,38(10):492-494
[103]Wang Yun,Wang Junling.Load balancing framework for actively replicated servers.Journal of Southeast University (English Edition),2005,21(4):419-426
[104]Wang Yun,Wang Junling.A novel load balancing framework for active replicated servers in asynchronous distributed systems.Proceedings of the 16th IASTED International Conference on Parallel and Distributed Computing and Systems,2004,298-303
[105]王征，刘心松，李美安．企业信息分布式存储的热点处理策略．计算机集成制造系统，2006，12(9)：1506-1510，1515
[106]王征，刘心松，李美安．一种高效的基于可复制资源的分布式负载均衡策略．电子学报，2006，34(08)：1452-1455
[107]Zhu Weiping,Socko Piotr.Migration impact on load balancing-an experience on amoeba.Proceedings of the 1996 5th IEEE International Symposium on High Performance Distributed Computing.1996,531-540
[108]Hu Liang,Meng Faner,Hu Ming.A dynamic load balancing system based on data migration.Proceedings of 8th International Conference on Computer Supported Cooperative Work in Design.2004,493-499
[109]Kang Sukwoo,Reddy A.L.Narasimha.User-centric data migration in networked storage systems.Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium,Program and CD-ROM.2008,1-12
[110]Golubchik Leana,Khuller Samir,Kim Yoo-Ah.et.al.Data migration on parallel disks:Algorithms and evaluation.Algorithmica.2006,45(1 ):137-158
[111]Kim Yoo-Ah.Data migration to minimize the total completion time.Journal of Algorithms.2005,55(1):42-57
[112]庞丽萍，许俊，徐婕等．PVFS数据访问的负载平衡．华中科技大学学报(自然科学版)，2004，32(7)：1-2
[113]Watanabe Akitsugu,Yokota Haruo.Adaptive Overlapped Declustering:A highly available data-placement method balancing access load and space utilization.Proceedings of 21st International Conference on Data Engineering.2005,828-839
[114]罗秋明．一种算法无关的PVFS负载均衡机制．计算机工程与应用，2006，19：115-118
[115]Joukov Nikolai,Rai Abhishek,Zadok Erez.Increasing distributed storage survivability with a stackable RAID-like file system.2005 IEEE International Symposium on Cluster Computing and the Grid,2005,1:82-89
[116]Kim Jong-Hoon,Eom Se-Woong,Noh Sam H.Striping and buffer caching for software RAID file systems in workstation clusters.Proceedings of the 19th IEEE International Conference on Distributed Computing Systems,1999,544-551
[117]Chen Yong,N Lionel M.,Yang Mingyao.CoStore:A serverless distributed file system utilizing disk space on workstation clusters.Proceedings of 21st IEEE International Performance,Computing,and Communications Conference,2002,393-398
[118]Garth A.Gibson,David F.Nagle,Khalil Amiri.et.al.A cost-effective,high-bandwidth storage architecture.Proceedings of the 8th Architectural Support for Programming Languages and Operating Systems,1998,92-103
[119]Chen Ge,Wang Cho-Li,Lau Francis C.M.Building a Scalable Web Server with Global Object Space Support on Heterogeneous Clusters.Proceedings of IEEE International Conference on Cluster Computing(Cluster 2001),2001,1:114-135
[120]Chen Ge,Wang Cho-Li,Lau Francis C.M.p-Jigsaw:A Cluster-based Web Server with Cooperative Caching Support.Concurrency Computation Practice and Experience,2003,7-8(15):681-705
[121]符青云，刘心松．基于分布式协同缓存机制的Web Proxy研究．计算机工程，2007，11(33)：120-122
[122]符青云，刘心松．基于协同缓存的分布式数据库更新机制研究．计算机工程，2007，7(33)：47-49
[123]Kong Hua-Feng,Yu Sheng-Sheng,Lu Hong-Wei.A network-attached storage system supporting guaranteed QoS.Wuhan University Journal of Natural Sciences(English Edition),2005,5(10):838-842
[124]Ryu Junkil,Park Chanik.Controlling network bandwidth to support storage QoS.4th International Workshop on Storage Network Architecture and Parallel I/Os,2007,60-67
[125]Dezhi Han,Fu Feng.Research on self-adaptive distributed storage system.2008 International Conference on Wireless Communications,Networking and Mobile Computing,2008,467-472
[126]Kim Taeseok,Park Junseok,Koh Kern.Scheduling strategy for multimedia storage system with heterogeneous workload.Proceedings of the Fourth IASTED International Conference on Circuits,Signals,and Systems,2008,330-335
[127]李中，王刚，刘璟．混合类型多媒体负载访问存储系统的统计学访问控制算法．计算机研究与发展，2006，43(3)：563-570
[128]李中，王刚，刘璟．基于服务质量需求的存储系统动态优先权调度策略．计算机研究与发展，2006，43(11)：2027-2032
[129]Chakraborty Goutam,Shiratori Norio.Soft resource reservation:a flexible guarantee of QoS.Proceedings of the 1996 International Conference on Parallel and Distributed Systems,1996,27-334
[130]符青云，刘心松，吴艾．支持QoS确保的存储服务器服务资源分配算法．计算机工程与应用，2008，44(4)：83-85
[131]Kuo Chih-Hung,Kim Chang-Su,Kuo C.-C.Jay.Layered video transmission over space-time coded systems.Proceedings of SPIE-The International Society for Optical Engineering,2001,4472:482-491
[132]Schelkens Peter.Multiple description coding for scalable multimedia coding.Proceedings of 12th International Workshop on Systems,Signals and Image Processing,2005,47-48
[133]Lee Yen-Chi,Kim Joohee,Altunbasak Yucel.etc.Layered coded vs.multiple description coded video over error-prone networks.Signal Processing:Image Communication,2003,18(5):337-356
[134]Wang Yao,Panwar Shivendra,Lin Shunan.Wireless video transport using path diversity:Multiple description vs.layered coding.IEEE International Conference on Image Processing,2002,1:21-24
[135]Pereira Manuela,Antonini Marc,Barlaud Michel.Multiple description image and video coding for wireless channels.Signal Processing:Image Communication,2003,18(10):925-945
[136]Chow CheeOnn,Ishii Hiroshi.Interactive video transmission over wireless ad hoe networks using multiple sources and multiple description coding.Proceedings of 6th Asia-Pacific Symposium on Information and Telecommunication Technologies,2005,305-309
[137] Badameh Osamah, Kadoch Michel, Elhakeem Ahmed.QoS multilayered multicast routing protocol for video transmission in heterogeneous wireless ad hoc networks. WSEAS Transactions on Computers, 2008, 7(6):680-693
[138] Ling Zi, Lee Ivan. Adaptive multi-path video streaming. 8th IEEE International Symposium on Multimedia, 2006, 399-406
[139] Tesanovic Milos, Bull David, Doufexi Angela. Enhanced MIMO wireless video communication using multiple-description coding. Signal Processing: Image Communication, 2008, 23(4):325-336
[140] Pereira Manuela, Antonini Marc, Barlaud Michel. Multiple description coding for internet video streaming. Proceedings of 2003 International Conference on Image Processing, 2003,3:281-284
[141] Somasundaram Siva, Subbalakshmi K.P., Uma R.N. MDC and path diversity in video streaming. Proceedings of International Conference on Image Processing, 2004,2:3153-3156
[142] Zink Michael, Mauthe Andreas. P2P streaming using multiple description coded video. Proceedings of 30th EUROMICRO Conference, 2004, 30: 240-247
[143] Liu Zhengye, Shen Yanming, Panwar Shivendra S. et. al. P2P video live streaming with MDC: Providing incentives for redistribution. Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007,48-51
[144] Tarek F.Abdelzaher, Kang G. Shin, Nina Bhatti. Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach.IEEE Transactions on Parallel and Distributed Systems, 2002, 13(l):80-96
[145] Allcock W., Bresnahan J, Kettimuthu R. et al. The Globus Striped GridFTP Framework and Server. Proceedings of the ACM/IEEE Supercomputing Conference, 2005, 54-58
[146] Bhattacharyya S., Kurose J.F., Towsley D. et al. Efficient rate-controlled bulk data transfer using multiple multicast Groups. IEEE/ACM Transactions on Networking, 2003, 6(11):895-907
[147] Lien Yao-Nan, Xu Hong-Qi. A UDP based protocol for distributed P2P file sharing. 8th International Symposium on Autonomous Decentralized Systems, 2007, 318-324
[148] Shin Jung-Hwa, Shin Weon, Rhee Kyung-Hyune. Reliable P2P file sharing service. 5th International Workshop on Agents and Peer-to-Peer Computing, 2008, 143-150
[149] Ludmila Cherkasova, Jangwon Lee, FastReplica: Efficient Large File Distribution within Content Delivery Networks. 4~(th) Usenix Symposium on Internet Technology and System,2003, 198-205
[150] Kwan T.-M.T., Yeung K.L. ServerCast: efficient cooperative bulk data distribution scheme for content distribution networks. IEEE Global Telecommunications Conference, 2005,2:915-919
[2]MPEG1 standard from ISO.Proceedings of the IFIP TC6/WG6.4 International Conference on High Performance Networking,1993,234-236
[3]Corset Ⅰ.MPEG2:A standard for digital moving picture coding.Proceedings of the Tirrenia International Workshop on Digital Communications,1993,111-113
[4]Bober Miroslaw,Kittler Josef.Video coding for mobile communications-MPEG4 perspective.Proceedings of the IEE Colloquium on the Future of Mobile Multimedia Communications,1996,3-9
[5]Kalva Hari.The H.264 video coding standard.IEEE Multimedia,2006,13(4):86-90
[6]Fan Liang,Ma Siwei,Wu Feng.Overview of AVS video standard.IEEE International Conference on Multimedia and Expo (ICME),2004,423-426
[7]Hwe Hwa Pang,Jose B.,Krishnan M.S.Resource scheduling in a high-performance multimedia server.IEEE Transactions on Knowledge and Data Engineering,1999,11:303-320
[8]Chang E.,Zakhor A.Admissions control and data placement for VBR video servers,Proceedings.IEEE International Conference on Image Processing,1994,1:278-282
[9]Meng-Huang Lee,Chun-Hung Wen,Chih-Yuan Cheng,et al.Designing a fully interactive video-on-demand server with a novel data placement and retrieval scheme.IEEE Transactions on Consumer Electronics,1995,41:851-858
[10]Lin F.Y.-S.Optimal real-time admission control algorithms for the video-on-demand (VOD) service.IEEE Transactions on Broadcasting,1998,44:402-408
[11]Xia Z.,Hao W.,Yen I.-L.,et al.A distributed admission control model for QoS assurance in large-scale media delivery systems.IEEE Transactions on Parallel and Distributed Systems,2005,16:1143-1153
[12] Zhenghang Yan, Yuhang Yang, Ma M. A Novel Admission Control Algorithm for VOD Service in ADSL P2P Networks. 10th IEEE Singapore Internationa] Conference on Communication systems, 2006 , 1 -5
[13] Hesselman C., Eertink H. Hierarchical broadcasting in the future mobile Internet. Proceedings of 28th Euromicro Conference, 2002,224-228
[14] Jurca D., Frossard P. Video Packet Selection and Scheduling for Multipath Streaming. IEEE Transactions on Multimedia, 2007, 3(9):629-641
[15] Vleeschouwer De, Frossard C. P. Dependent Packet Transmission Policies in Rate-Distortion Optimized Media Scheduling.IEEE Transactions on Multimedia, 2007,6(9): 1241-1258
[16] Berthold J. Evolution of WDM in transport networks. Optical Fiber Communication Conference and Exhibit, 1998,1:133-145
[17] Ghani N., Dixit S., Ti-Shiang Wang. On IP-over-WDM integration. IEEE Communications Magazine, 2000, 28:72-84
[18] Kovacikova Tatiana, Segec Pavol. NGN Standards Activities in ETSIICN. Sixth International Conference on Networking, 2007, 76-76
[19] Le Chae-Sub. IPTV over Next Generation Networks in ITU-T. 2nd IEEE/IFIP International Workshop on Broadband Convergence Networks, 2007, 1-18
[20] Kim J.Y., Hahm J.H., Kim Y.S., et al. NGN architecture for IPTV service without effect on conversational services. The 8th International Conference on Advanced Communication Technology, 2006, 465-469
[21] Michael Zink, Andreas Mauthe. P2P streaming using multiple description coded video. Proceedings of 30th Euromicro Conference, 2004, 240-247
[22] Liao Xiaofei, Jin Hai, Liu Yunhao, et al. Scalable Live Streaming Service Based on Interoverlay Optimization. IEEE Transactions on Parallel and Distributed Systems, 2007,18(12):1663-1674
[23] Asrar-Haghighi K., Pourmohammadi Y., Alnuweiri H.M. Delivery of MPEG-4 Object Based Multimedia in a Multicast Environment. Proceedings of International Conference on Information Technology 2002: Coding and Computing, 2002, 446-451
[24] Suzuki S., Kodama M. Scalability Video Data Distribution Using Cache Terminal for Multi-quality Video Service. IEEE International Symposium on Communications and Information Technology, 2004,344-349
[25] Sang-ho Park, Jaewoon Jeong, Taekyoung Kwon.Contents distribution system based on MPEG-4 ISMACryp in IP set-top box environments. IEEE Transactions on Consumer Electronics, 2006, 52:660-668
[26] Percador F., Sanz C., Garrido M.J., et al. A DSP based IP set-top box for home entertainment. IEEE Transactions on Consumer Electronics, 2006, 52:254-262
[27] Rong Cheng, Hai Jin, Ke Shi, et al. An Anycast-based P2P Routing Protocol for Mobile Ad hoc Networks. The First IEEE and IFIP International Conference in Central Asia on Internet, 2005, 1-5
[28] Igor D.D. Curcio, David Leon. Application Rate Adaptation for Mobile Streaming. 6th IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks,2005,66-71
[29] Tavanapong W., Tran M., Zhou J. et al. Video Caching Network for on-demand Video Streaming. IEEE Global Telecommunications Conference, 2002, 2:1723-1727
[30] Songqing Chen, Bo Shen, Wee, S. et al. Designs of High Quality Streaming Proxy Systems. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies, 2004,3:1512-1521
[31] Song Wu, Hai Jin, Jie Chu. et al.A Novel Cache Scheme for Cluster-based Streaming Proxy Server.25th IEEE International Conference on Distributed Computing Systems Workshops, 2005, 727-733
[32] Songqing Chen, Bo Shen, Wee, S. et al. Segment-based streaming media proxy: modeling and optimization.IEEE Transactions on Multimedia, 2006, 8(2):243-256
[33] Cranor C. D., Green M., Kalmanek C. et al. Enhanced streaming services in a content distribution network, IEEE Internet Computing,2001,5(4):66-75
[34] Fortino Giancarlo, Mastroianni Carlo, Russo Wilma. Collaborative media streaming services based on CDNs, 2008, 9:297-316
[35] Kontothanassis Leonidas, Sitaraman Ramesh, Wein Joel, et al. A transport layer for live streaming in a content delivery network. Proceedings of the IEEE, 2004,92(9): 1408-1419
[36] Liang Chao, Guo Yang,Liu Yong. Hierarchically clustered P2P streaming system. Proceedings of IEEE Global Telecommunications Conference, 2007, 236-241
[37] Liu De-Kai, Wang Ren-Hung. P2broadcast: A hierarchical clustering live video streaming system for P2P networks.International Journal of Communication Systems, 2006, 19(6):619-637
[38] Luo Jian-Guang, Zhang Meng, Zhao Li. et al. A large-scale live video streaming system based on P2P networks, Journal of Software, 2007, 18(2):391-399
[39] Luan Hao, Kwong Kin-Wah, Huang Zhe. et al. P2P live streaming towards best video quality, 5th IEEE Consumer Communications and Networking Conference, 2008, 458-463
[40] Roussopoulos Mema, Baker Mary, Rosenthal David, et al. 2 P2P or not 2 P2P?. Third Internationa] Workshop on Peer-to-Peer Systems, 2004, 33-43
[41] Xu Dongyan, Kulkarni Sunil Suresh, Rosenberg Catherine. et al. Analysis of a CDN-P2P hybrid architecture for cost-effective streaming media distribution. Multimedia Systems,2006,383-399
[42] Guomin Zhang, Changyou Xing, Ming Chen. A distributed multimedia CDN model with P2P architecture, 2006 International Symposium on Communications and Information Technologies, 2006, 152-156
[43] Guo Lei, Chen Songqing, Zhang Xiaodong. Design and evaluation of a scalable and reliable P2P assisted proxy for on-demand streaming media delivery. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(5):669-682
[44] Guo Lei, Chen Songqing, Ren Shansi. et al. PROP: A Scalable and Reliable P2P Assisted Proxy Streaming System. Proceedings of 24th International Conference on Distributed Computing Systems, 2004, 24:778-786
[45] Bhargava Bharat, Riedl John. Implementation of RAID. Proceedings of Seventh Symposium on Reliable Distributed Systems, 1988, 157-166
[46] Katz Randy H. Network-attached storage systems. Proccedings of the Scalable High Performance Computing Conference-SHPCC-92, 1992, 68-75
[47] Lala Tapan K. Storage area networking. IEEE Communications Magazine, 2003,41(8):70-71
[48] Arunachalam Meenakshi, Choudhary Alok, Rullman Brad.Implementation and evaluation of prefetching in the intel paragon parallel file system. Proceedings of the 1996 10th International Parallel Processing Symposium, 1996, 554-554
[49] Rajesh Bordawekar, Steven Landherr, Don Capps, and Mark Davis. Experimental evaluation of the Hewlett-Packard Exemplar file system. ACM SIGMETRICS Performance Evaluation Review, 1997, 25(3):21-28
[50]Frank Schmuck,Roger Haskin.GPFS:A Shared-Disk File System for Large Computing Clusters.Proceedings of the Conference on File and Storage Technologies(FAST’02).2002,231-244
[51]Adam Sweeney,Doug Doucette,PWei Hu,Curtis Anderson,Mike Nishimoto,Geoff Peck.Scalability in the XFS file system.Proceedings of the 1996 annual conference on USENIX Annual Technical Conference.1996,1-1
[52]John H Howard.An Overview of the Andrew File System.InformationTechnology Center.Carnegie Mellon University.CMU-ITC-88-062 Technique Report
[53]www.openafs.org
[54]www.stacken.kth.se/project/arla/
[55]Satyanarayanan Mahadev,Kistler James J.,Kumar Puneet.et.al.Steere David C.Coda:A highly available file system for a distributed workstation environment.IEEE Transactions on Computers,1990,39(4):447-459
[56]Moyer Steven A.,Sunderam V.S.PIOUS:A scalable parallel I/O system for distributed computing environments.Proceedings of the Scalable High-Performance Computing Conference,1994,71-78
[57]Ross Robert,Latham Robert.PVFS:A parallel file system.Proceedings of the 2006 ACM/IEEE Conference on Supercomputing.2006,118-130
[58]AndersonThomas E.,Dahlin Michael D.,Neefe Jeanna M.et.al.Serverless network file systems.ACM Transactions on Computer Systems,1996,14(1):41-79
[59]www.redhat.com/gfs/
[60]Ghemawat Sanjay,Gobioff Howard,Leung Shun-Tak.The google file system.Operating Systems Review (ACM),2003,37(5):29-43
[61]Dan Muntz.Building a Single Distributed File System from Many NFS Servers.Tenth Goddard Conference on Mass Storage Systems and Technologies.2002,59-64
[62]Yu Weikuan,Noronha Ranjit,Liang Shuang.et.al.Benefits of high speed interconnects to cluster file systems:A case study with lustre.20th International Parallel and Distributed Processing Symposium.2006,163-170
[63]hadoop.apache.org/core/
[64]程斌，金海，李胜利等．HANDY：一种具有动态扩展性的集群文件系统．小型微型计算机系统，2006，27(12)：2189-2195
[65]杨峰，刘心松，罗朝劲．分布式并行网络数据存储技术．计算机科学，2002，29(12)：109-111
[66]刘心松．具有分布式并行I／O接口的分布式并行服务器系统的性能研究．电子学报，2002，30(12)：806-810
[67]吴思宁，贺劲，熊劲等．DCFS机群文件系统服务器组的设计与实现．微电子学与计算机，2004，6：30-33
[68]Fedotova Natalya,Fanti Stefano,Veltri Luca.Kademlia for data storage and retrieval in enterprise networks.Proceedings of the 3rd International Conference on Collaborative Computing:Networking,Applications and Worksharing,CollaborateCom.2007,382-386
[69]Castro M.,Druschel P.,Hu Y.C..et.al.Exploiting network proximity in peer-to-peer overlay networks.Technical report MSR-TR-2002-82,2002
[70]Zhao B.Y.,Ling Huang,Stribling J.et.al.Tapestry:a resilient global-scale overlay for service deployment.IEEE Journal on Selected Areas in Communications,2004,22(1):41-53
[71]Stoica I.,Morris R.,Liben-Nowell D.Chord:a scalable peer-to-peer lookup protocol for Internet applications.IEEE/ACM Transactions on Networking,2003,11 (1):17-32
[72]Handurukande S.B.,Kermarrec A.-M.,Le Fessant F.et.al.Peer sharing behaviour in the eDonkey network,and implications for the design of server-less file sharing systems.Proceedings of the 2006 EuroSys Conference.2006,359-371
[73]dcplusplus.sourceforge.net
[74]Liu Jian,Copeland John.Comparison of web and kazaa traffic on self-similarity:A case study.Proceedings of the Fourth IASTED International Multi-Conference on Wireless and Optical Communications,2004,86-91
[75]Nagaraja Kiran,Rollins Sami,Khambatti Mujtaba.From the editors:Peer-to-peer community:Looking beyond the legacy of napster and gnutella.IEEE Distributed Systems Online,2006,7(3):59-63
[76]Dabek Frank,Kaashoek M.Frans,Karger David.et.al.Wide-area cooperative storage with CFS.Operating Systems Review (ACM),2001,35(5):202-215
[77]Kubiatowicz J.,Bindel D.,Chen Y.et.al.OceanStore:An architecture for global-scale persistent storage.9th Internatinal Conference Architectural Support for Programming Languages and Operating Systems (ASPLOS-IX).2000,190-201
[78] Druschel P.,Rowstron A. PAST: A large-scale, persistent peer-to-peer storage utility. Proceedings of the Eighth Workshop on Hot Topics in Operating Systems. 2001, 75-80
[79] Muthitacharoen A., Morris R., Gil T. M.. et. al. Chen. Ivy: A Read/Write Peer-to-Peer File System. In Proceedings of 5th Symposium on Operating Systems Design and Implementation.2002, 31-44
[80] Atul Adya, William J. Bolosky P., Miguel Castro. et. al. Farsite : federated, available, and reliable storage for an incompletely trusted environment. Proceedings of the 5th symposium on Operating systems design and implementation. 2002, 1-14
[81] Zhang Z, Lian Q, Lin S. et. al. BitVault: a highly reliable distributed data retention platform. ACM SIGOPS Operating Systems Review, 2007, 41(2):27-36
[82] Bhagwan R, Tati K, Cheng Y. et. al. Total Recall: System Support for Automated Availability Management. 1st Symposium on Networked Systems Design and Implementation. 2004, 337-350
[83] Hu Jinfeng, Hong Chunhui, Zheng Weimin. Granary: An architecture of object oriented internet storage service. IEEE International Conference on E-Commerce Technology for Dynamic E-Business, 2004, 294-297
[84] Jing Tian, Zhi Yang, Yafei Dai.A Data Placement Scheme with Time-Related Model for P2P Storages.Seventh IEEE International Conference on Peer-to-Peer Computing, 2007, 151-158
[85] Patel S.,G. Abdulla, M. Abrams. et. al. NMFS: Network Multimedia File System Protocol. Proceedings of 3rd International Workshop Network and Operating System Support for Digital Audio and Video.1992, 370-375
[86] Garth A. Gibson, Rodney Van Meter. Network Attached Storage Architecture. Communication of the ACM. 2000, 43(11):37-45
[87] Sahinoglu Z., Tekinay S. On multimedia networks: self-similar traffic and network performance. IEEE Communications Magazine, 1999, l(37):48-52
[88] Faustino M.R., Goldemberg C. The Impact of Network Applications (Web, FTP and E-mail) and Network Profiles on the Self-Similar Parameter. IEEE Latin America Transactions, 2005,4(3):54-59
[89] Beran J., Sherman M., Taqqu S. et al. Long-range dependence in variable-bit-rate video traffic. IEEE Transactions on Communications, 1995, 43(234): 1566-1579
[90]Bashforth B.N.,Williamson C.L.Statistical multiplexing of self-similar video streams:simulation study and performance results.Proceedings of Sixth International Symposium on Modeling,Analysis and Simulation of Computer and Telecommunication Systems,1998,1:119-126
[91]Kocak Y.Approximate analysis of a dynamic scheduler for self-similar video traffic in ATM networks.IEE Proceedings of Communications,2006,153(2):189-194
[92]Ng Joseph Kee-Yin,Song Shibin,Zhao Wei.Statistical delay analysis on an ATM switch with self-similar input traffic.Information Processing Letters,2000,74(3-4):163-173
[93]Ferng Huei-Wen,Chang Jin-Fu.Characterization of the output of an ATM output buffer receiving self-similar traffic.IEEE Global Telecommunicatins Conference GLOBECOM'01,2001,4:2650-2653
[94]Li Jung-Shian,Wolisz Adam,Popescu-Zeletin Radu.Fast simulation of self-similar traffic.Proceedings of the 1998 IEEE International Conference on Communications,1998,3:1829-1833
[95]Liu Shu-Gang,Wang Pei-Jin,Qu Lin-Jie.Modeling and simulation of self-similar data traffic.International Conference on Machine Learning and Cybernetics,2005,3921-3925
[96]Jeong Hae-Duck J.,Lee Jong-Suk R.,McNickle Don,et.al.Distributed steady-state simulation of telecommunication networks with self-similar teletraffic.Simulation Modelling Practice and Theory,2005,13(3):233-256
[97]Molero Xavier,Silla Federico,Santonja Vicente,et.al.Modeling and simulation of Storage Area Networks.Proceedings of the 8th Interantional Symposium on Modeling,Analysis and Simulation of Computer and Telecomunication System,2000,307-314
[98]Zhang Jizheng,Jia Huibo.I/O path based performance model for storage systems.Journal of Tsinghua University,2006,46(11):1824-1827
[99]Liu Zhaobin,Jiang Bo,Zhao Zixiang,et.al.Modeling and simulation of self-similar storage I/O.3rd International Conference on Grid and Pervasive Computing,2008,256-265
[100]符青云，刘心松，皮建勇．802．1 1b无线网络环境下视频会议系统的流量特性研究．电子测量与仪器学报，2006，20(6)：54-58
[101]符青云，刘心松，吴艾．流媒体流量特性测量模块的设计．电子测量与仪器学报，2008，22(3)：74-77
[102]ArthurC.M.,Girma D.Unified method for video traffic modelling on IP networks.Electronics Letters,2002,38(10):492-494
[103]Wang Yun,Wang Junling.Load balancing framework for actively replicated servers.Journal of Southeast University (English Edition),2005,21(4):419-426
[104]Wang Yun,Wang Junling.A novel load balancing framework for active replicated servers in asynchronous distributed systems.Proceedings of the 16th IASTED International Conference on Parallel and Distributed Computing and Systems,2004,298-303
[105]王征，刘心松，李美安．企业信息分布式存储的热点处理策略．计算机集成制造系统，2006，12(9)：1506-1510，1515
[106]王征，刘心松，李美安．一种高效的基于可复制资源的分布式负载均衡策略．电子学报，2006，34(08)：1452-1455
[107]Zhu Weiping,Socko Piotr.Migration impact on load balancing-an experience on amoeba.Proceedings of the 1996 5th IEEE International Symposium on High Performance Distributed Computing.1996,531-540
[108]Hu Liang,Meng Faner,Hu Ming.A dynamic load balancing system based on data migration.Proceedings of 8th International Conference on Computer Supported Cooperative Work in Design.2004,493-499
[109]Kang Sukwoo,Reddy A.L.Narasimha.User-centric data migration in networked storage systems.Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium,Program and CD-ROM.2008,1-12
[110]Golubchik Leana,Khuller Samir,Kim Yoo-Ah.et.al.Data migration on parallel disks:Algorithms and evaluation.Algorithmica.2006,45(1 ):137-158
[111]Kim Yoo-Ah.Data migration to minimize the total completion time.Journal of Algorithms.2005,55(1):42-57
[112]庞丽萍，许俊，徐婕等．PVFS数据访问的负载平衡．华中科技大学学报(自然科学版)，2004，32(7)：1-2
[113]Watanabe Akitsugu,Yokota Haruo.Adaptive Overlapped Declustering:A highly available data-placement method balancing access load and space utilization.Proceedings of 21st International Conference on Data Engineering.2005,828-839
[114]罗秋明．一种算法无关的PVFS负载均衡机制．计算机工程与应用，2006，19：115-118
[115]Joukov Nikolai,Rai Abhishek,Zadok Erez.Increasing distributed storage survivability with a stackable RAID-like file system.2005 IEEE International Symposium on Cluster Computing and the Grid,2005,1:82-89
[116]Kim Jong-Hoon,Eom Se-Woong,Noh Sam H.Striping and buffer caching for software RAID file systems in workstation clusters.Proceedings of the 19th IEEE International Conference on Distributed Computing Systems,1999,544-551
[117]Chen Yong,N Lionel M.,Yang Mingyao.CoStore:A serverless distributed file system utilizing disk space on workstation clusters.Proceedings of 21st IEEE International Performance,Computing,and Communications Conference,2002,393-398
[118]Garth A.Gibson,David F.Nagle,Khalil Amiri.et.al.A cost-effective,high-bandwidth storage architecture.Proceedings of the 8th Architectural Support for Programming Languages and Operating Systems,1998,92-103
[119]Chen Ge,Wang Cho-Li,Lau Francis C.M.Building a Scalable Web Server with Global Object Space Support on Heterogeneous Clusters.Proceedings of IEEE International Conference on Cluster Computing(Cluster 2001),2001,1:114-135
[120]Chen Ge,Wang Cho-Li,Lau Francis C.M.p-Jigsaw:A Cluster-based Web Server with Cooperative Caching Support.Concurrency Computation Practice and Experience,2003,7-8(15):681-705
[121]符青云，刘心松．基于分布式协同缓存机制的Web Proxy研究．计算机工程，2007，11(33)：120-122
[122]符青云，刘心松．基于协同缓存的分布式数据库更新机制研究．计算机工程，2007，7(33)：47-49
[123]Kong Hua-Feng,Yu Sheng-Sheng,Lu Hong-Wei.A network-attached storage system supporting guaranteed QoS.Wuhan University Journal of Natural Sciences(English Edition),2005,5(10):838-842
[124]Ryu Junkil,Park Chanik.Controlling network bandwidth to support storage QoS.4th International Workshop on Storage Network Architecture and Parallel I/Os,2007,60-67
[125]Dezhi Han,Fu Feng.Research on self-adaptive distributed storage system.2008 International Conference on Wireless Communications,Networking and Mobile Computing,2008,467-472
[126]Kim Taeseok,Park Junseok,Koh Kern.Scheduling strategy for multimedia storage system with heterogeneous workload.Proceedings of the Fourth IASTED International Conference on Circuits,Signals,and Systems,2008,330-335
[127]李中，王刚，刘璟．混合类型多媒体负载访问存储系统的统计学访问控制算法．计算机研究与发展，2006，43(3)：563-570
[128]李中，王刚，刘璟．基于服务质量需求的存储系统动态优先权调度策略．计算机研究与发展，2006，43(11)：2027-2032
[129]Chakraborty Goutam,Shiratori Norio.Soft resource reservation:a flexible guarantee of QoS.Proceedings of the 1996 International Conference on Parallel and Distributed Systems,1996,27-334
[130]符青云，刘心松，吴艾．支持QoS确保的存储服务器服务资源分配算法．计算机工程与应用，2008，44(4)：83-85
[131]Kuo Chih-Hung,Kim Chang-Su,Kuo C.-C.Jay.Layered video transmission over space-time coded systems.Proceedings of SPIE-The International Society for Optical Engineering,2001,4472:482-491
[132]Schelkens Peter.Multiple description coding for scalable multimedia coding.Proceedings of 12th International Workshop on Systems,Signals and Image Processing,2005,47-48
[133]Lee Yen-Chi,Kim Joohee,Altunbasak Yucel.etc.Layered coded vs.multiple description coded video over error-prone networks.Signal Processing:Image Communication,2003,18(5):337-356
[134]Wang Yao,Panwar Shivendra,Lin Shunan.Wireless video transport using path diversity:Multiple description vs.layered coding.IEEE International Conference on Image Processing,2002,1:21-24
[135]Pereira Manuela,Antonini Marc,Barlaud Michel.Multiple description image and video coding for wireless channels.Signal Processing:Image Communication,2003,18(10):925-945
[136]Chow CheeOnn,Ishii Hiroshi.Interactive video transmission over wireless ad hoe networks using multiple sources and multiple description coding.Proceedings of 6th Asia-Pacific Symposium on Information and Telecommunication Technologies,2005,305-309
[137] Badameh Osamah, Kadoch Michel, Elhakeem Ahmed.QoS multilayered multicast routing protocol for video transmission in heterogeneous wireless ad hoc networks. WSEAS Transactions on Computers, 2008, 7(6):680-693
[138] Ling Zi, Lee Ivan. Adaptive multi-path video streaming. 8th IEEE International Symposium on Multimedia, 2006, 399-406
[139] Tesanovic Milos, Bull David, Doufexi Angela. Enhanced MIMO wireless video communication using multiple-description coding. Signal Processing: Image Communication, 2008, 23(4):325-336
[140] Pereira Manuela, Antonini Marc, Barlaud Michel. Multiple description coding for internet video streaming. Proceedings of 2003 International Conference on Image Processing, 2003,3:281-284
[141] Somasundaram Siva, Subbalakshmi K.P., Uma R.N. MDC and path diversity in video streaming. Proceedings of International Conference on Image Processing, 2004,2:3153-3156
[142] Zink Michael, Mauthe Andreas. P2P streaming using multiple description coded video. Proceedings of 30th EUROMICRO Conference, 2004, 30: 240-247
[143] Liu Zhengye, Shen Yanming, Panwar Shivendra S. et. al. P2P video live streaming with MDC: Providing incentives for redistribution. Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007,48-51
[144] Tarek F.Abdelzaher, Kang G. Shin, Nina Bhatti. Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach.IEEE Transactions on Parallel and Distributed Systems, 2002, 13(l):80-96
[145] Allcock W., Bresnahan J, Kettimuthu R. et al. The Globus Striped GridFTP Framework and Server. Proceedings of the ACM/IEEE Supercomputing Conference, 2005, 54-58
[146] Bhattacharyya S., Kurose J.F., Towsley D. et al. Efficient rate-controlled bulk data transfer using multiple multicast Groups. IEEE/ACM Transactions on Networking, 2003, 6(11):895-907
[147] Lien Yao-Nan, Xu Hong-Qi. A UDP based protocol for distributed P2P file sharing. 8th International Symposium on Autonomous Decentralized Systems, 2007, 318-324
[148] Shin Jung-Hwa, Shin Weon, Rhee Kyung-Hyune. Reliable P2P file sharing service. 5th International Workshop on Agents and Peer-to-Peer Computing, 2008, 143-150
[149] Ludmila Cherkasova, Jangwon Lee, FastReplica: Efficient Large File Distribution within Content Delivery Networks. 4~(th) Usenix Symposium on Internet Technology and System,2003, 198-205
[150] Kwan T.-M.T., Yeung K.L. ServerCast: efficient cooperative bulk data distribution scheme for content distribution networks. IEEE Global Telecommunications Conference, 2005,2:915-919