基于微应用的多租户智慧云存储平台架构方法
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摘要
当前云存储平台架构依据个人PC环境开发,交互性较差、使用率低、大软件系统占用内存大。为此,提出一种基于微应用的多租户智慧云存储平台架构方法。设计基于微应用的多租户智慧云存储平台架构。实现数据管理层时,按照数据冷热特性度,通过冷热数据区分方法对大规模数据进行区分,按照租户行为特征,求出单位时间数据价值,通过指数平滑法对此刻时间数据价值进行估测,提高数据访问命中率。完成冷热数据区分后,在保证服务的情况下,利用Gossip法把多租户监测数据迁移至当前平台架构。微应用在UAP平台进行开发,利用UAP微应用开发平台把微应用相关组件有效结合在一起,完成大规模微应用的自动集群规划。实验结果表明,所提方法因采用微应用,内存使用率和效率高。
The current cloud storage platform architecture is developed on the basis of individual PC environment,with poor interactivity,low utilization rate and large memory in large software systems. To this end,a multitenant intelligent cloud storage platform architecture based on micro-application is proposed. A multi tenant intelligent cloud storage platform architecture based on micro application is designed. The realization of data management,in accordance with the characteristics of hot and cold data,distinguishing method of large scale data were distinguished by the hot and cold data,according to the tenant behavior,calculate the value of data per unit time,time value of the data are estimated by the exponential smoothing method,improve the accuracy of data access. After the cold and hot data are distinguished,the multi tenant monitoring data is migrated to the current platform architecture by using the Gossip method to ensure the service. Micro applications are developed on the UAP platform,and UAP microapplication development platform is applied to effectively integrate micro application related components,and accomplish the automatic cluster planning of large-scale micro applications. The experimental results show that the proposed method has high memory usage and efficiency because of the application of micro-application.
The current cloud storage platform architecture is developed on the basis of individual PC environment,with poor interactivity,low utilization rate and large memory in large software systems. To this end,a multitenant intelligent cloud storage platform architecture based on micro-application is proposed. A multi tenant intelligent cloud storage platform architecture based on micro application is designed. The realization of data management,in accordance with the characteristics of hot and cold data,distinguishing method of large scale data were distinguished by the hot and cold data,according to the tenant behavior,calculate the value of data per unit time,time value of the data are estimated by the exponential smoothing method,improve the accuracy of data access. After the cold and hot data are distinguished,the multi tenant monitoring data is migrated to the current platform architecture by using the Gossip method to ensure the service. Micro applications are developed on the UAP platform,and UAP microapplication development platform is applied to effectively integrate micro application related components,and accomplish the automatic cluster planning of large-scale micro applications. The experimental results show that the proposed method has high memory usage and efficiency because of the application of micro-application.
引文
1尤晓青.面向Saa S应用的SMTDM可伸缩多租户数据管理框架.计算机系统应用,2016;25(11):102-106You Xiaoqing.Scalable multi-tenancy data management(SMTDM)framework for Saa S aplications.Computer Systems&Applications,2016;25(11):102-106
2李引,袁峰,吴鸿.基于软件构件技术的多租户个性化框架.计算机工程与应用,2015;51(9):22-29Li Yin,Yuan Feng,Wu Hong.Framework of multi-tenancy customization based on component software develop-ment.Computer Engineering and Applications,2015;51(9):22-29
3刘绍刚.基于NAS的私有云存储平台的设计与实现.计算机测量与控制,2017;25(4):205-208Liu Shaogang.Based on the NAS private cloud storage platform design and implementation.Computer Measurement&Control,2017;25(4):205-208
4谷连超,崔立真.一种可伸缩的多租户数据自适应存储方法.计算机研究与发展,2014;51(9):2058-2069Gu Lianchao,Cui Lizhen.A scalable and self-adjust multi-tenant data storage strategy under different SLAs.Journal of Computer Research and Development,2014;51(9):2058-2069
5 Kumar N,Vasilakos A V,Rodrigues J J P C.A multi-tenant cloudbased DC nanogrid for self-sustained smart buildings in smart cities.IEEE Communications Magazine,2017;55(3):14-21
6邵彧.大数据云存储中的并行优化处理方法仿真.计算机仿真,2016;33(4):395-398Shao Yu.Simulation of optimization and parallel processing method for big data on cloud storage.Computer Simulation,2016;33(4):395-398
7张四平,王梅.云计算下的基于SOA架构的数据挖掘的研究.科技通报,2017;33(8):124-128Zhang Siping,Wang Mei.Research on data mining in cloud computing based on SOA framework.Bulletin of Science and Technology,2017;33(8):124-128
8余洋,孙林夫,马亚花.面向产业链协同云服务平台的多租户表单定制技术.计算机集成制造系统,2016;22(9):2235-2244Yu Yang,Sun Linfu,Ma Yahua.Multi-tenant form customization technology for collaborative cloud service platform in industrial chain.Computer Integrated Manufacturing Systems,2016;22(9):2235-2244
9孟令玺,李洪亮,孟令威.基于云计算平台的虚拟资源可扩展存储算法.科学技术与工程,2017;17(24):92-97Meng Lingxi,Li Hongliang,Meng Lingwei.Scalable storage algorithm of virtual resources based on cloud computing platform.Science Technology and Engineering,2017;17(24):92-97
10王毅敏.云计算环境下软件架构恢复系统设计.现代电子技术,2017;40(23):27-29Wang Yimin.Design of software architecture recovery system based on cloud computing environment.Modern Electronics Technique,2017;40(23):27-29
11 Seo D,Kim S,Song G.Mutual exclusion method in client-side aggregation of cloud storage.IEEE Transactions on Consumer Electronics,2017;63(2):185-190
12邹立达,李庆忠,孔兰菊,等.基于Chord的多租户索引机制研究.计算机学报,2016;39(2):270-285Zou Lida,Li Qingzhong,Kong Lanju,et al.Indexing mechanism of multi-tenant database based on Chord.Chinese Journal of Computers,2016;39(2):270-285
13宋刚,甘西军,杜雯.基于异构终端的云信息服务平台设计与实现.电子设计工程,2017;25(12):128-133Song Gang,Gan Xijun,Du Wen.Design and implementation of cloud information service platform based on heterogeneous terminal.Electronic Design Engineering,2017;25(12):128-133
14 Jiang L,Xu L D,Cai H,et al.An Io T-oriented data storage framework in cloud computing platform.IEEE Transactions on Industrial Informatics,2014;10(2):1443-1451
15许梦雨,赵卫东.基于SCA可变性的多租户功能可配置方法研究.计算机工程与设计,2014;35(6):2224-2229Xu Mengyu,Zhao Weidong.Research on function configuration method of multi-tenant based on SCA variability.Computer Engineering and Design,2014;35(6):2224-2229
16类兴邦,房俊.基于融合数据库的海量传感器信息存储架构.计算机科学,2016;43(6):68-71Lei Xingbang,Fang Jun.Mass sensor information storage infrastructure based on fusion database.Computer Science,2016;43(6):68-71
17冯扬,董爱强,夏元轶,等.国家电网公司微应用平台架构设计与实现.电子测量技术,2017;40(7):52-58Feng Yang,Dong Aiqiang,Xia Yuanyi,et al.State grid micro-application architecture design and realize.Electronic Measurement Technology,2017;40(7):52-58
18郭爽爽,崔立真.面向多租户数据存储的分段多维性能模型.计算机科学与探索,2015;9(2):193-200Guo Shuangshuang,Cui Lizhen.Piecewise multiple performance model for multi-tenant data storage.Journal of Frontiers of Computer Science&Technology,2015;9(2):193-200
19胡新平,董建成,张志美.基于Saa S的图书馆集成管理系统开发模型研究.图书情报工作,2014;58(6):113-117Hu Xinping,Dong Jiancheng,Zhang Zhimei.Study on development models of library information system based on Saa S.Library and Information Service,2014;58(6):113-117
2李引,袁峰,吴鸿.基于软件构件技术的多租户个性化框架.计算机工程与应用,2015;51(9):22-29Li Yin,Yuan Feng,Wu Hong.Framework of multi-tenancy customization based on component software develop-ment.Computer Engineering and Applications,2015;51(9):22-29
3刘绍刚.基于NAS的私有云存储平台的设计与实现.计算机测量与控制,2017;25(4):205-208Liu Shaogang.Based on the NAS private cloud storage platform design and implementation.Computer Measurement&Control,2017;25(4):205-208
4谷连超,崔立真.一种可伸缩的多租户数据自适应存储方法.计算机研究与发展,2014;51(9):2058-2069Gu Lianchao,Cui Lizhen.A scalable and self-adjust multi-tenant data storage strategy under different SLAs.Journal of Computer Research and Development,2014;51(9):2058-2069
5 Kumar N,Vasilakos A V,Rodrigues J J P C.A multi-tenant cloudbased DC nanogrid for self-sustained smart buildings in smart cities.IEEE Communications Magazine,2017;55(3):14-21
6邵彧.大数据云存储中的并行优化处理方法仿真.计算机仿真,2016;33(4):395-398Shao Yu.Simulation of optimization and parallel processing method for big data on cloud storage.Computer Simulation,2016;33(4):395-398
7张四平,王梅.云计算下的基于SOA架构的数据挖掘的研究.科技通报,2017;33(8):124-128Zhang Siping,Wang Mei.Research on data mining in cloud computing based on SOA framework.Bulletin of Science and Technology,2017;33(8):124-128
8余洋,孙林夫,马亚花.面向产业链协同云服务平台的多租户表单定制技术.计算机集成制造系统,2016;22(9):2235-2244Yu Yang,Sun Linfu,Ma Yahua.Multi-tenant form customization technology for collaborative cloud service platform in industrial chain.Computer Integrated Manufacturing Systems,2016;22(9):2235-2244
9孟令玺,李洪亮,孟令威.基于云计算平台的虚拟资源可扩展存储算法.科学技术与工程,2017;17(24):92-97Meng Lingxi,Li Hongliang,Meng Lingwei.Scalable storage algorithm of virtual resources based on cloud computing platform.Science Technology and Engineering,2017;17(24):92-97
10王毅敏.云计算环境下软件架构恢复系统设计.现代电子技术,2017;40(23):27-29Wang Yimin.Design of software architecture recovery system based on cloud computing environment.Modern Electronics Technique,2017;40(23):27-29
11 Seo D,Kim S,Song G.Mutual exclusion method in client-side aggregation of cloud storage.IEEE Transactions on Consumer Electronics,2017;63(2):185-190
12邹立达,李庆忠,孔兰菊,等.基于Chord的多租户索引机制研究.计算机学报,2016;39(2):270-285Zou Lida,Li Qingzhong,Kong Lanju,et al.Indexing mechanism of multi-tenant database based on Chord.Chinese Journal of Computers,2016;39(2):270-285
13宋刚,甘西军,杜雯.基于异构终端的云信息服务平台设计与实现.电子设计工程,2017;25(12):128-133Song Gang,Gan Xijun,Du Wen.Design and implementation of cloud information service platform based on heterogeneous terminal.Electronic Design Engineering,2017;25(12):128-133
14 Jiang L,Xu L D,Cai H,et al.An Io T-oriented data storage framework in cloud computing platform.IEEE Transactions on Industrial Informatics,2014;10(2):1443-1451
15许梦雨,赵卫东.基于SCA可变性的多租户功能可配置方法研究.计算机工程与设计,2014;35(6):2224-2229Xu Mengyu,Zhao Weidong.Research on function configuration method of multi-tenant based on SCA variability.Computer Engineering and Design,2014;35(6):2224-2229
16类兴邦,房俊.基于融合数据库的海量传感器信息存储架构.计算机科学,2016;43(6):68-71Lei Xingbang,Fang Jun.Mass sensor information storage infrastructure based on fusion database.Computer Science,2016;43(6):68-71
17冯扬,董爱强,夏元轶,等.国家电网公司微应用平台架构设计与实现.电子测量技术,2017;40(7):52-58Feng Yang,Dong Aiqiang,Xia Yuanyi,et al.State grid micro-application architecture design and realize.Electronic Measurement Technology,2017;40(7):52-58
18郭爽爽,崔立真.面向多租户数据存储的分段多维性能模型.计算机科学与探索,2015;9(2):193-200Guo Shuangshuang,Cui Lizhen.Piecewise multiple performance model for multi-tenant data storage.Journal of Frontiers of Computer Science&Technology,2015;9(2):193-200
19胡新平,董建成,张志美.基于Saa S的图书馆集成管理系统开发模型研究.图书情报工作,2014;58(6):113-117Hu Xinping,Dong Jiancheng,Zhang Zhimei.Study on development models of library information system based on Saa S.Library and Information Service,2014;58(6):113-117