Adaptively and Efficiency： Key Features for Getting Performance on Process Migration
Adaptively and Efficiency： Key Features for Getting Performance on Process Migration
出处
《通讯和计算机（中英文版）》
2012年第5期495-506,共12页
Journal of Communication and Computer
参考文献14
-
1G. Aggarwal, R. Motwani, A. Zhu, The load rebalancing problem, in: SPAA '03: Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures, ACM Press, USA, 2003, 258-265.
-
2L. Chen, C. L. Wang, F. Lau, Process reassignment with reduced migration cost in grid load rebalancing, Parallel and Distributed Processing, in: IPDPS 2008, IEEE Intern. Symposium on, 2008, pp. 1-13.
-
3R. Righi, A. Carissimi, P.O.A. Navaux, On the dynamic load-rebalancing of BSP application using process migration, in: WSPPD 2007, 2007, pp. 31-36.
-
4L.G. Valiant., A bridging model for parallel computation, Commun. ACM, 1990, pp. 103-111.
-
5O. Bonorden, J. Gehweiler, F.M. Heide, Load t~alanclng strategies in a web computing environment, in: Proceedings of International Conference on Parallel Processing and Applied Mathematics (PPAM), 2005, 839-846, Poznan, Poland.
-
6A. Tanenbaum, Computer Networks, Prentice Hall PTR, Upper Saddle River, New Jersey, 4th edition, 2003.
-
7H, Casanova, A. Legrand, M. Quinson, Simgrid: A generic framework for large-scale distributed experiments, in: Tenth International Conference on Computer Modeling and Simulation (UKSIM), 2008, pp. 126-131, Los Alamitos, CA, USA.
-
8N. Schepke, C. Maillard, Performance improvement of the parallel lattice Boltzmann method through blocked data distributions, in: 19th International Symposium on Computer Architecture and High Performance Computing, 2007, pp. 71-78.
-
9R. M. Vozmediano, A.B. Alonso-Conde, Influence of grid economic factors on scheduling and migration, in: High Performance Computing for Computational Science -VECPAR, 2005, pp. 274-287. Springer.
-
10M.A. Bhandarkar, R. Brunner, L.V. Kale, Run-time support for adaptive load balancing, in: IPDPS '00: Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing, 2000, pp. 1152-1159, London, UK, Springer-Verlag.
-
1胡建理,周斌,吴泉源,刘家红.ICA:一种基于混合智能算法的移动Agent路由算法[J].小型微型计算机系统,2010,31(2):348-353. 被引量：3
-
2王森,朱常鹏,韩博.一种基于qemu的动态迁移模型[J].计算机科学,2015,42(S1):337-340. 被引量：3
-
3刘健,王马龙.基于负载特征的虚拟机动态迁移决策算法[J].网络安全技术与应用,2017(3):30-32. 被引量：3
-
4马海峰,意合巴力,王烨,杨家海,张潮.基于清华云监控平台的云迁移性能[J].计算机应用,2015,35(11):3026-3030. 被引量：4
-
5刘典型.多虚拟机下基于内存缓存的动态块迁移算法[J].计算机应用与软件,2015,32(3):11-15. 被引量：8
-
6兰雨晴,申骞,刘铭.云计算环境中在线迁移技术研究[J].电信科学,2010,26(9):90-94. 被引量：4
-
7汤琳琳,于治楼.基于可信计算的虚拟机在线迁移机制[J].信息技术与信息化,2017(3):71-75.
-
8杨丽丽.虚拟机在线迁移性能优化关键技术探讨[J].电子技术与软件工程,2016(6):181-181. 被引量：1
-
9刘铭,张炯,龙翔.基于Xen虚拟机全系统在线增量迁移的设计与实现[J].微计算机信息,2010,26(30):162-164. 被引量：2
-
102006年西门子工业通讯技术嘉年华巡回研讨会举办[J].软件,2006,27(10):13-13.
