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陈康, 郑纬民. 云计算:系统实例与研究现状[J]. 软件学报, 2009, 20(5): 1 337-1 348.
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[2] |
Wang L Z, Ranjan R, Chen J J et al. Cloud Computing: Methodology, Systems And Applications[M]. Boca Raton: CRC Press, 2012.
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[3] |
Liu G, Li J, Xu J C. An improved Min-Min algorithm in cloud computing [C]// Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Berlin, Germany: Springer, 2013: 47-52.
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[4] |
Guo L Z, Zhao S G, Shen S G, et al. Task scheduling optimization in cloud computing based on heuristic algorithm [J]. Journal of Networks, 2012, 7(3): 547-553.
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[5] |
Li K, Xu G C, Zhao G Yu, et al. Cloud task scheduling based on load balancing ant colony optimization [C]// Sixth Annual ChinaGrid Conference. Dalian, China: IEEE Press, 2011:3-9.
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[6] |
史少峰, 刘宴兵. 基于动态规划的云计算任务调度研究 [J]. 重庆邮电大学学报. 2012, 24(6): 687-692.
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[7] |
Cui Y F, Li X M, Dong K W, et al. Cloud computing resource scheduling method research based on improved genetic algorithm [J]. Advanced Materials Research, 2011, 271: 552-557.
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[8] |
Sindhu S, Mukherjee S. Efficient task scheduling algorithms for cloud computing environment [C]// International Conference on High Performance Architecture and Grid Computing. Chandigard, India: Springer, 2011: 79-83.
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[9] |
朱宗斌, 杜中军. 基于改进GA的云计算任务调度算法[J]. 计算机工程与应用. 2013, 49(5): 77-80.
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[10] |
Wang L Z, von Laszewski G, Kunze M, et al. Schedule distributed virtual machines in a service oriented environment [C]// Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications. Perth, Australia: IEEE Press, 2010: 230-236.
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[11] |
Fang Y Q, Wang F, Ge J W. A task scheduling algorithm based on load balancing in cloud computing [C]// International Conference on Web Information Systems and Mining. Sanya China: Springer 2010, 6318: 271-277.
|
[12] |
Wang J P, Zhu Y L, Feng H Y. A multi-task scheduling method based on ant colony algorithm [J]. Advances in information Sciences and Service Sciences, 2012, 4(11): 185-192.
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[13] |
Rahman M M, Thulasiram R, Graham P. Differential time-shared virtual machine multiplexing for handling QoS variation in clouds [C]//Proceedings of the 1st ACM Multimedia International Workshop on Cloud-Based Multimedia Applications and Services for E-health. Nara, Japan: ACM Press, 2012: 3-8.
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[14] |
Jung J K, Kim N U, Jung S M, et al. Improved CloudSim for simulating QoS-based cloud services [C]// Ubiquitous Information Technologies and Applications. Netherlands: Springer, 2013: 537-545.
|
[15] |
孙瑞锋, 赵政文. 基于云计算的资源调度策略[J]. 航空计算技术, 2010, 40(3): 103-105.
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[16] |
Lin W W, Chen L, Wang J Z, et al. Bandwidth-aware divisible task scheduling for cloud computing [J]. Software: Practice and Experience, 2014, 44(2): 163-174.
|
[17] |
Buyya R, Ranjan R, Calheiros R N. Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: Challenges and opportunities [C]// International Conference on High Performance Computing & Simulation. Leipzig, Germany: IEEE Press, 2009: 1-11.
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[18] |
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 & Experience, 2011, 41(1): 23-50.
|
[1] |
陈康, 郑纬民. 云计算:系统实例与研究现状[J]. 软件学报, 2009, 20(5): 1 337-1 348.
|
[2] |
Wang L Z, Ranjan R, Chen J J et al. Cloud Computing: Methodology, Systems And Applications[M]. Boca Raton: CRC Press, 2012.
|
[3] |
Liu G, Li J, Xu J C. An improved Min-Min algorithm in cloud computing [C]// Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Berlin, Germany: Springer, 2013: 47-52.
|
[4] |
Guo L Z, Zhao S G, Shen S G, et al. Task scheduling optimization in cloud computing based on heuristic algorithm [J]. Journal of Networks, 2012, 7(3): 547-553.
|
[5] |
Li K, Xu G C, Zhao G Yu, et al. Cloud task scheduling based on load balancing ant colony optimization [C]// Sixth Annual ChinaGrid Conference. Dalian, China: IEEE Press, 2011:3-9.
|
[6] |
史少峰, 刘宴兵. 基于动态规划的云计算任务调度研究 [J]. 重庆邮电大学学报. 2012, 24(6): 687-692.
|
[7] |
Cui Y F, Li X M, Dong K W, et al. Cloud computing resource scheduling method research based on improved genetic algorithm [J]. Advanced Materials Research, 2011, 271: 552-557.
|
[8] |
Sindhu S, Mukherjee S. Efficient task scheduling algorithms for cloud computing environment [C]// International Conference on High Performance Architecture and Grid Computing. Chandigard, India: Springer, 2011: 79-83.
|
[9] |
朱宗斌, 杜中军. 基于改进GA的云计算任务调度算法[J]. 计算机工程与应用. 2013, 49(5): 77-80.
|
[10] |
Wang L Z, von Laszewski G, Kunze M, et al. Schedule distributed virtual machines in a service oriented environment [C]// Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications. Perth, Australia: IEEE Press, 2010: 230-236.
|
[11] |
Fang Y Q, Wang F, Ge J W. A task scheduling algorithm based on load balancing in cloud computing [C]// International Conference on Web Information Systems and Mining. Sanya China: Springer 2010, 6318: 271-277.
|
[12] |
Wang J P, Zhu Y L, Feng H Y. A multi-task scheduling method based on ant colony algorithm [J]. Advances in information Sciences and Service Sciences, 2012, 4(11): 185-192.
|
[13] |
Rahman M M, Thulasiram R, Graham P. Differential time-shared virtual machine multiplexing for handling QoS variation in clouds [C]//Proceedings of the 1st ACM Multimedia International Workshop on Cloud-Based Multimedia Applications and Services for E-health. Nara, Japan: ACM Press, 2012: 3-8.
|
[14] |
Jung J K, Kim N U, Jung S M, et al. Improved CloudSim for simulating QoS-based cloud services [C]// Ubiquitous Information Technologies and Applications. Netherlands: Springer, 2013: 537-545.
|
[15] |
孙瑞锋, 赵政文. 基于云计算的资源调度策略[J]. 航空计算技术, 2010, 40(3): 103-105.
|
[16] |
Lin W W, Chen L, Wang J Z, et al. Bandwidth-aware divisible task scheduling for cloud computing [J]. Software: Practice and Experience, 2014, 44(2): 163-174.
|
[17] |
Buyya R, Ranjan R, Calheiros R N. Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: Challenges and opportunities [C]// International Conference on High Performance Computing & Simulation. Leipzig, Germany: IEEE Press, 2009: 1-11.
|
[18] |
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 & Experience, 2011, 41(1): 23-50.
|