引文
[1]Deelman E,Callaghan S,Field E,et al.Managing Large-ScaleWorkflow Execution from Resource Provisioning to Provenancetracking:The CyberShake Example.IEEE InternationalConference on e-Science and Grid Computing,2006:14.
[2]Canon L C,Jeannot E.Evaluation and optimization of therobustness of DAG schedules in heterogeneous environments.IEEE Transactions on Parallel and Distributed Systems,2010,21(4):532-546.
[3]王润秋,李兰兰,李会俭.塔里木地区勘探地震正演模拟研究.地球物理学报,2010,53(8):1875-1882.Wang R Q,Li L L,Li H J.Forward modeling research forseismic exploration of Tarim area.Chinese J.Geophys.(inChinese),2010,53(8):1875-1882.
[4]龙桂华,赵宇波,李小凡等.三维交错网格有限差分地震波模拟的GPU集群实现.地球物理学进展,2011,26(6):1938-1949.Long G H,Zhao Y B,Li X F,et al.Accelerating 3Dstaggered-grid finite-difference seismic wave modeling on GPUcluster.Progress in Geophysics(in Chinese),2011,26(6):1938-1949.
[5]Topcuoglu H,Hariri S,Wu M Y.Performance-effective andlow-complexity task scheduling for heterogeneous computing.IEEE Transactions on Parallel and Distributed Systems,2002,13(3):260-274.
[6]N’Takpe T,Suter F,Casanova H.A comparison of schedulingapproaches for mixed-parallel Applications on heterogeneousplatforms.In Proceedings of the 6th International Symposiumon Parallel and Distributed Computing(ISPDC’07),Hagenberg,Austria:IEEE Computer Society,2007:35.
[7]Hunold S,Rauber T,Suter F.Scheduling dynamic workflowsonto clusters of clusters using postponing.In Proceedings ofthe 8th IEEE International Symposium on Cluster Computingand the Grid(CCGrid’08),Lyon,France:IEEE ComputerSociety,2008:669-674.
[8]苑迎春,李小平,王茜等.成本约束的网格工作流时间优化方法.计算机研究与发展,2009,46(2):194-201.Yuan Y C,Li X P,Wang Q,et al.Time optimizationheuristics for scheduling budget-constrained grid workflows.Journal of Computer Research and Development(in Chinese),2009,46(2):194-201.
[9]Hakem M,Butelle F.Dynamic critical path scheduling parallelprograms onto multiprocessors.In Proceedings of the 19thIEEE International Parallel and Distributed ProcessingSymposium(IPDPS‘05),Denver,USA:IEEE ComputerSociety,2005:203.
[10]蒋哲远,韩江洪,王钊.动态的QoS感知Web服务选择和组合优化模型.计算机学报,2009,32(5):1014-1025.Jiang Z Y,Han J H,Wang Z.An Optimization model fordynamic QoS-Aware web services selection and composition.Chinese Journal of Computers(in Chinese),2009,32(5):1014-1025.
[11]Yu J,Buya R.Scheduling scientific workflow applicationswith deadline and budget constraints using geneticalgorithms.Scientific Programming Journal,2006,14(3-4):217-230.
[12]Yan Y H,Chapman B.Scientific workflow scheduling incomputational grids planning,reservation,and data/network-awareness.In Proceedings of the 8th GridComputing Conference(Grid’07),Austin,Texas:IEEEComputer Society,2007:18-25.
[13]Nurmi D,Mandal A,Brevik J,et al.Evaluation of aworkflow scheduler using integrated performance modellingand batch queue wait time prediction.In Proceedings of the2006ACM/IEEE Conference on Supercomputing(SC’06),New York,USA:ACM,2006:119.
[14]Berten V,Goossens J,Jeannot E.On the distribution ofsequential jobs in random brokering for heterogeneouscomputational grids.IEEE Transactions on Parallel andDistributed Systems,2006,17(2):113-124.
[15]Lublin U,Feitelson D G.The workload on parallelsupercomputers:modeling the characteristics of Rigid Jobs.Journal of Parallel and Distributed Computing,2003,63(11):1105-1122.
[16]Iosup A,Jan M,Sonmez O O,et al.The characteristics andthe performance of groups of jobs in grids.Lecture Notes onComputer Science,2007,4641:382-393.
[17]Gross D,Harris C M.Fundamentals of Queueing Theory.New York:John Wiley and Sons,1998.
[18]杜晓丽,蒋昌俊,徐国荣等.一种基于模糊聚类的网格DAG任务图调度算法.软件学报,2006,17(11):2277-2288.Du X L,Jiang C J,Xu G R,et al.A grid DAG schedulingalgorithm based on fuzzy clustering.Journal of Software(inChinese),2006,17(11):2277-2288.
[19]Byrd R H,Hribar M E,Nocedal J.An interior pointalgorithm for large-scale nonlinear programming.SIAMJournal on Optimization,1999,9(4):877-900.
[20]Glatard T,Pennec X,and Montagnat J.Performance evaluation ofgrid-enabled registration algorithms using bronze-standards.In Proceedings of the 9th International Conference of MedicalImage Computing and Computer-Assisted Intervention(MICCAI’06),Copenhagen,Denmark:Springer,2006:152-160.
[21]Yeo C S,Buyya R.Pricing for utility-driven resource managementand allocation in clusters.International Journal of HighPerformance Computing Applications,2007,21(4):405-418.