Computer Science ›› 2018, Vol. 45 ›› Issue (8): 105-112.doi: 10.11896/j.issn.1002-137X.2018.08.019
• Network & Communication • Previous Articles Next Articles
XU Jian-rui1,2, ZHU Hui-juan3
CLC Number:
[1]KASHLEV A,LU S.A System Architecture for Running BigData Workflows in the Cloud[C]∥IEEE InternationalConfe-rence on Services Computing.IEEE,2014:51-58. [2]LIU L,ZHANG M,LIN Y,et al.A survey on workflow mana-gement and scheduling in cloud computing[C]∥14th IEEE/ACM International Symposium on Cluster,Cloud and Grid Computing.IEEE,2014:837-846. [3]WU F,WU Q,TAN Y.Workflow scheduling in cloud:a survey[J].Journal of Supercomputing,2015,71(9):3373-3418. [4]RODRIGUEZ M A,BUYYA R.Deadline based resource provisioning and scheduling algorithm for scientific workflows on clouds[J].IEEE Transactions on Cloud Computing,2014,2(2):222-235. [5]WANG X,YEO C S,BUYYA R.Optimizing the makespan and reliability for workflow applications with reputation and a look-ahead genetic algorithm[J].Future Generation Compututer Systems,2011,27(8):1124-1134. [6]HUANG T T,LIANG Y W.Improved simulated annealing algorithm of cloud workflow tasks scheduling.Micro-electro-nics and Computer,2016,1(33):42-46.(in Chinese)黄婷婷,梁意文.云工作流任务调度的模拟退火遗传改进算法[J].微电子学与计算机,2016,1(33):42-46. [7]FELLER E,RILLING L,MORIN C.Energy-aware ant colonybased workload placement in clouds[C]∥Proceedings of the 2014 IEEE/ACM 13th International Conference on Grid Computing.IEEE Computer Society,2014:26-33. [8]HUANG J.The workflow task scheduling algorithm based onthe GA model in the cloud computing environment[J].Journal of Software,2014,9(4):873-880. [9]CAO B,WANG X T,XIONG L R,et al.Particle swarm sear-ching method of cloud workflow scheduling under time constraint.Computer Intergrated Manufacturing Systems,2016,22(2):372-380.(in Chinese)曹斌,王小统,熊丽荣,等.时间约束云工作流调度的粒子群搜索方法[J].计算机集成制造系统,2016,22(2):372-380. [10]LI Y L,SHAO W,WANG J T,et al.An improved NSGA-II and its application for reconfigurable pixel antenna design[J].Radio Engineering,2014,23(2):733-738. [11]ZHU Z,ZHANG G,LI M,et al.Evolutionary Multi-Objective Workflow Scheduling in Cloud[J].IEEE Transactions on Parallel & Distributed Systems,2016,27(5):1344-1357. [12]RAHMAN M,HASSAN R,RANJAN R,et al.Adaptive workflow scheduling for dynamic grid and cloud computing environment[J].Concurrency Compututation Practicew Experience,2013,25(13):1816-1842. [13]RODRIGO C,RAJIV R,ANTON B,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. [14]CHEN W,DEELMAN E.WorkflowSim:a toolkit for simulating scientific workflows in distributed environments[C]∥IEEE 8th International Conference on E-Science (e-Science).IEEE,2012:1-8. [15]JUVE G,CHERVENAK A,DEELMAN E,et al.Characterizing and profiling scientific workflows[J].Future Generation Computer Systems,2013,29(3):682-692. [16]Amazon.Amazon EC2 Pricing[EB/OL].http://aws.amazon.com/ec2/pricing. [17]TOPCUOGLU H,HARIRI S,WU M Y.Performance-effective and low-complexity task scheduling for heterogeneous computing[J].IEEE Transactions on Parallel Distributed Systems,2012,13(3):260-274. [18]PANDEY S,WU L,GURU S M,et al.A particle swarm optimizationbased heuristic for scheduling workflow applications in cloud computing environments[C]∥24th IEEE International Conference on Advanced Information Networking and Applications.IEEE,2014:400-407. |
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