[1]RIMAL B P, CHOI E, LUMB I. A taxonomy and survey of cloud computing systems [C]// NCM'09: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC. Washington, DC: IEEE Comp Society, 2009:44-51.
[2]MICHAEL R G, DAVID S J. Computers and intractability: a guide to the theory of NP-completeness [M]. San Francisco: W.H. Freeman Publishers, 1979.
[3]TOPCUOGLUH, HARIRI S, WU M, Performance-effective and low-complexity task scheduling for heterogeneous computing [J]. IEEE Transactions on Parallel and Distributed Systems, 2002, 13(3): 260-274.
[4]BANSAL S, KUMARP, SINGH K. An improved duplication strategy for scheduling precedence constrained graphs in multiprocessor systems [J]. IEEE Transactions on Parallel and Distributed Systems, 2003, 14(6):533-544.
[5]SONG J, GE L. A genetic fuzzy clustering algorithm and application [J].Journal of Computer Applications, 2008,28(5): 1197-1199. (宋娇,葛临东.一种遗传模糊聚类算法及其应用[J]. 计算机应用, 2008, 28(5): 1197-1199.)
[6]DU X, JIANG C, XU G, et al.A grid DAG task graph scheduling algorithm based on fuzzy clustering [J]. Journal of software, 2006, 17(11): 2277-2288. (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[J].软件学报,2006,17(11):2277-2288.)
[7]HOU E S H, ANSARI N, REN H. A genetic algorithm for multiprocessor scheduling [J]. IEEE Transactions on Parallel and Distributed Systems, 1994, 5(2): 113-120.
[8]LI J, PENG J. Cloud computing environment task scheduling algorithm based on improved genetic algorithm [J]. Journal of Computer Applications, 2011, 31(1): 184-186. (李建锋,彭舰.云计算环境下基于改进遗传算法的任务调度算法[J].计算机应用,2011,31(1):184-186.)
[9]CHEN W-N, ZHANG J. An ant colony optimization approach to a grid workflow scheduling problem with various QoS requirements [J]. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2009, 39(1): 29-43.
[10]YARKHAN A, DONGARRA J J. Experiments with scheduling using simulated annealing in a grid environment [C]// GRID 2002: Proceedings of the 2002 Grid Computing. Berlin: Springer-Verlag, 2002: 232-242.
[11]BUX M, LESER U. DynamicCloudSim: simulating heterogeneity in computational clouds [C]// SWEET '13: Proceedings of the 2nd ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies. New York: ACM, 2013: Article No. 1.
[12]CALHEIROS R N, RANJAN R, BELOGLAZOV A, et al.CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms [J]. Software: Practice and Experience, 2011, 41(1): 23-50. |