| 参考文献 ［1］王娜,卫波,王晋东,等.基于混沌多目标粒子群优化算法的云服务选择［J］.计算机工程,2014,40(3):23-27,38. ［2］Liu C L,Layland J W.Scheduling Algorithms for Multi-programming in a Hard-Real-Time Environment［J］.Journal of the ACM,1973,20(1):46-61. ［3］Li Bing,Song A M,Song J.A Distributed QoS-constraint Task Scheduling Scheme in Cloud Computing Environ-ment:Model and Algorithm［J］.Advances in Information Sciences and Service Sciences,2012,4(5):283-291. ［4］Convolbo M W,Chou J.Cost-aware DAG Scheduling Algorithms for Minimizing Execution Cost on Cloud Resources［J］.The Journal of Supercomputing,2016,72(3):985-1012. ［5］Hu Zheng,Wu Kaijun,Huang Jinsong.An Utility-based Job Scheduling Algorithm for Current Computing Cloud Considering Reliability Factor［C］//Proceedings of the 3rd IEEE International Conference on Software Engineering and Service Science.Washington D.C.,USA:IEEE Press,2012:296-299. ［6］Tian Guanhua,Meng Dan.Failure Rules Based Node Resource Provision Policy for Cloud Computing［C］//Proceedings of IEEE International Symposium on Parallel and Distributed Processing and Applications.Washington D.C.,USA:IEEE Press,2010:397-404. ［7］Han Haiwen,Qi Deyui,Zheng Weiping,et al.A QoS Guided Task Scheduling Model in Cloud Computing Environment［C］//Proceedings of the 4th International Conference on Emerging Intelligent Data and Web Tech-nologies.Washington D.C.,USA:IEEE Press,2013:72-76. ［8］Alrifai M,Skoutas D,Risse T,et al.Selecting Skyline Services for QoS-based Web Service Composition［C］//Proceedings of International Conference on World Wide Web.Washington D.C.,USA:IEEE Press,2010:11-20. ［9］Johan T,Montero R S,Rafael M V,et al.Cloud Brokering Mechanisms for Optimized Placement of Virtual Machines Across Multiple Providers［J］.Future Generation Computer Systems,2012,28(2):358-367. ［10］Zuo Xingquan,Zhang Guoxiang,Tan Wei,et al.Self-adaptive Learning PSO-based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud［J］.IEEE Tran-sactions on Automation Science and Engineering,2014,11(2):564-573. ［11］Mardukhi F,Nematbakhsh N,Zamanifar K,et al.QoS Decom-position for Service Composition Using Genetic Algorithm［J］.Applied Soft Computing,2013,13(7):3409-3421. ［12］Tseng C,Liao C.A Particle Swarm Optimization Algorithm for Hybrid Flow-shop Scheduling with Multi-processor Tasks［J］.International Journal of Production Research,2008,46(17):4655-4670. ［13］Yassa S,Chelouah R,Kadima H,et al.Multi-objective Approach for Energy-aware Workflow Scheduling in Cloud Computing Environments［J］.The Scientific World Journal,2013,2013(3/4). ［14］郑义成,袁茵,邓勇,等.基于Pareto前沿与粒子群优化的卫星资源调度算法［J］.计算机工程,2016,42(1):193-198. ［15］Masdari M,Salehi F,Jalali M,et al.A Survey of PSO-based Scheduling Algorithms in Cloud Computing［J］.Journal of Network and Systems Management,2017,25(1):122-158. ［16］Kennedy J,Eberhart R C.Particle Swarm Optimiza-tion［C］//Proceedings of International Symposium on Neural Networks.Washington D.C.,USA:IEEE Press,1995:1942-1948. ［17］Kennedy J,Eberhart R C.A Discrete Binary Version of the Particle Swarm Optimization［C］//Proceedings of IEEE International Conference on Systems,Man,and Cybemetics.Washington D.C.,USA:IEEE Press,1997:4104-4108. ［18］Calheiros R N,Ranjan R,de Rose C A F,et al.CloudSim:A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services:GRIDS-TR-2009-1［R］.Melbourne,Australia:Grid Computing and Distributed Systems Laboratory,University of Melbourne,2009. ［19］Arabnejad H,Barbosa J G,Prodan R,et al.Low-time Complexity Budget-deadline Constrained Workflow Schedul-ing on Heterogeneous Resources［J］.Future Generation Computer Systems,2016,55:29-40. ［20］Wu Zhangjun,Liu Xiao,Ni Zhiwei,et al.A Market-oriented Hierarchical Scheduling Strategy in Cloud Workflow Systems［J］.The Journal of Supercomputing,2013,63(1):256-293. ［21］Liu Guoquan,Zeng Yifeng,Li Dong,et al.Schedule Length and Reliability-oriented Multi-objective Scheduling for Distributed Computing［J］.Soft Computing,2015,19(6):1727-1737. 编辑金胡考 |