服务计算 |
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基于新颖性排名和多服务质量的云工作流调度算法 |
袁友伟, 余佳, 郑宏升, 王娇娇 |
1. 杭州电子科技大学 计算机学院,浙江 杭州 310018;
2. 教育部复杂系统建模与仿真重点实验室, 浙江 杭州 310018 |
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Cloud workflow scheduling algorithm based on novelty ranking and multi-quality of service |
YUAN You-wei-, YU Jia, ZHENG Hong-sheng, WANG Jiao-jiao |
1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China;
2. Key Laboratory of Complex Systems Modeling and Simulation, Ministry of Education, Hangzhou 310018, China |
引用本文:
袁友伟, 余佳, 郑宏升, 王娇娇. 基于新颖性排名和多服务质量的云工作流调度算法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.06.017.
YUAN You-wei-, YU Jia, ZHENG Hong-sheng, WANG Jiao-jiao. Cloud workflow scheduling algorithm based on novelty ranking and multi-quality of service. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.06.017.
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参考文献(References):
[1] 刘鹏.云计算[M].电子工业出版社,2015: 1.
[2] 郑敏,曹健,姚艳.面向价格动态变化的云工作流调度算法[J].计算机集成制造系统,2013, 19 (8): 1849-1858.
ZHENG Min, CAO Jian, YAO Yan. Cloud workflow scheduling algorithm oriented to dynamic price changes [J]. Computer Integrated Manufacturing Systems, 2013, 19(8): 1849-1858.
[3] LEE Y C, HAN H, ZOMAYA A Y, et al. Resource-efficient workflow scheduling in clouds [J]. Knowledge-Based Systems, 2015, 80(8): 153-162.
[4] 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, 33 (1): 42-46.
HUANG Ting-ting, LIANG Yi-wen. An improved simulated annealing genetic algorithm for workflow scheduling in cloud platform [J]. Microelectronics and computer, 2016, 33(1):
42-46.
[5] CASAS I, TAHERI J, RANJAN R, et al. A balanced scheduler with data reuse and replication for scientific workflows in cloud computing systems [J]. Future Generation
Computer Systems, 2016, In Press. http:∥dx.doi.org/10.1016/j.future.2015.12.005.
[6] STARLINGER J, COHENBOULAKIA S, KHANNA S, et al. Effective and efficient similarity search in scientific workflow repositories [J]. Future Generation Computer Systems, 2016, 56(3): 584-594.
[7] WANG Y, HUANG K, WANG F. Scheduling online mixed-parallel workflows of rigid tasks in heterogeneous multicluster environments [J]. Future Generation Computer Systems, 2016, 60(7): 35-47.
[8] KIANPISHEH S, CHARKARI N M, KARGAHI M. Reliability-driven scheduling of time/cost-constrained grid workflows [J]. Future Generation Computer Systems, 2016, 55(2): 1-16.
[9] 刘井响,杨雪峰,叶鑫.基于批量处理策略的云工作流调度方法[J].计算机集成制造系统,2015, 21(2):336-343.
LIU Jing-xiang, YANG Xue-feng, YE Xin. Cloud workflow scheduling method based on batch processing strategy [J]. Computer Integrated Manufacturing Systems, 2015, 21(2): 336-343.
[10] 文一凭,刘建勋,陈聪阳.隐私与成本感知的云工作流调度方法[J].计算机集成制造系统,2016, 22(2):294-301.
WEN Yi-ping, LIU Jian-xun, CHEN Cong-yang. Privacy-aware and cost-aware workflow scheduling in clouds [J]. Computer Integrated Manufacturing Systems, 2016, 22(2):
294-301.
[11] POOLA D, RAMAMOHANARAO K, BUYYA R. Fault-tolerant workflow scheduling using spot instances on clouds [J]. Procedia Computer Science, 2014, 29(3): 523-533.
[12] 杨玉丽,彭新光,黄名选,等.基于离散粒子群优化的云工作流调度[J].计算机应用研究,2014, 31(12):3677-3681.
YANG Yu-li, PENG Xin-guang, HUANG Ming-xuan, et al. Cloud workflow scheduling based on discrete particle swarm optimization [J]. Application Research of Computers, 2014, 31 (12): 3677-3681.
[13] 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.
CAO Bin, WANG Xiao-tong, XIONG Li-rong, et al. Searching method for particle swarm optimization of cloud workflow scheduling with time constraint [J]. Computer Integrated
Manufacturing Systems, 2016,22(2): 372-380.
[14] 李智勇,陈少淼,杨波,等.异构云环境多目标Memetic优化任务调度方法[J].计算机学报,2016, 39(2):377-390.
LI Zhiyong, CHEN Shao-miao, YANG Bo, et al. Multi-objective memetic algorithm for task scheduling on heterogeneous cloud. Chinese Journal of Computers, 2016, 39(2): 377-390.
[15] 魏豪,周抒睿,张锐,等.基于应用特征的PaaS弹性资源管理机制[J].计算机学报,2016, 39(2): 223-236.
WEI Hao, ZHOU Shu-rui, ZHANG Rui, et al. Application feature based elastic resource management mechanism on PaaS [J]. Chinese Journal of Computers, 2016, 39(2): 223-236.
[16] ZENG L, VEERAVALLI B, ZOMAYA A Y. An integrated task computation and data management scheduling strategy for workflow applications in cloud environments [J].
Journal of Network and Computer Applications, 2015, 50(4): 39-48.
[17] FATIH AKTAS M, HALDEMAN G, PARASHAR M. Scheduling and flexible control of bandwidth and intransit services for end-to-end application workflows [J]. Future Generation Computer Systems, 2016,56(3): 284-294.
[18] 项亮.推荐系统实践[M].北京:人民邮电出版社,2012: 174-175.
[19] CALHEIROS R N, RANJAN R, BELOGLAZOY 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.
[20] CUI D, KE W, PENG Z, et al. Multiple DAGs workflow scheduling algorithm based on reinforcement learning in cloud computing [C]∥ International Symposium on Intelligence Computation and Applications 2015. Guangzhou: Springer, 2015: 305-311. |
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