云计算环境下动态资源碎片管理机制

doi:10.11772/j.issn.1001-9081.2014.04.0999

计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 999-1004.DOI: 10.11772/j.issn.1001-9081.2014.04.0999

云计算环境下动态资源碎片管理机制

王笑宇,程良伦

广东工业大学计算机学院，广州 510006

收稿日期:2013-09-24 修回日期:2013-11-12 发布日期:2014-04-29 出版日期:2014-04-01
通讯作者: 王笑宇
作者简介:王笑宇(1989-),女,广东佛山人,硕士研究生,主要研究方向:云计算、物联网与信息物理融合系统；
程良伦(1964-),男,湖北黄石人,教授,博士生导师,主要研究方向:云计算、物联网与信息物理融合系统、无线传感器网络。
基金资助:
国家自然科学基金重点项目;广东省基金资助项目;广东省高校优秀青年创新人才培养计划资助项目;广州市科技计划项目

Dynamic resource management mechanism of debris resources in cloud computing

WANG Xiaoyu,CHENG Lianglun

Faculty of Computer, Guangdong University of Technology, Guangzhou Guangdong 510006, China

Received:2013-09-24 Revised:2013-11-12 Online:2014-04-29 Published:2014-04-01
Contact: WANG Xiaoyu

摘要/Abstract

摘要：

针对云计算环境下用户所需资源与服务资源规格不完全相符以及在资源预留过程中完整资源被切割而产生的资源碎片问题，提出一种云环境下考虑碎片资源重利用的动态资源管理策略。研究了云计算环境下资源碎片的形成原因，构建了碎片资源池，制定了任务对碎片资源接收的度量标准，在充分考虑当前任务对资源查找、调度、匹配的同时，进一步讨论了任务调度对资源的分割情况，进而指出资源碎片对后续任务接收能力的影响，搭建了云计算环境下动态资源碎片调度模型。理论分析和Cloudsim仿真实验证明，该资源管理策略能有效实现碎片资源的优化重组，提高了资源对后续任务的接收能力，与此同时保证了较高的资源利用率。

Abstract:

Concerning the problems that resources specifications and services required by users were not entirely consistent and the full resources were cut into debrises in the process of resource reservation in cloud computing environment, a dynamic resources management strategy considering the reuse of debris resources was put forward. The causes of debris resources were studied to construct debris resource pools, and the metric was made to measure how many tasks the debris resource could receive. While taking full account of the current task for resource discovery, scheduling, matching, the resource partitioning was further discussed by task scheduling, and the influence of the receiving capacity of subsequent tasks of resources debris was indicated. Finally, a dynamic resource debris scheduling model was built. The theoretical analysis and Cloudsim simulation results prove that, the resource management strategy can achieve resource optimization and reorganization of resources debris effectively. The strategy can not only improve the resources reception capability for subsequent tasks but ensure high resource utilization.

中图分类号:

TP393

王笑宇程良伦. 云计算环境下动态资源碎片管理机制[J]. 计算机应用, 2014, 34(4): 999-1004.

WANG Xiaoyu CHENG Lianglun. Dynamic resource management mechanism of debris resources in cloud computing[J]. Journal of Computer Applications, 2014, 34(4): 999-1004.

参考文献

［1］MELL P, GRANCE T. The NIST definition of cloud computing ［EB/OL］. ［2013-06-25］. http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf.
［2］ARMBRUST M, FOX A, GRIFFITH R, et al.A view of cloud computing ［J］. Communications of the ACM, 2010, 53(4): 50-58.
［3］LIN W, QI D. Cloud computing resource scheduling research ［J］. Computer Science, 2012, 39(10): 1-6.(林伟伟,齐德昱.云计算资源调度研究综述［J］.计算机科学,2012,39(10):1-6.)
［4］LEE Z Y, WANG Y, ZHOU W. A dynamic priority scheduling algorithm on service request scheduling in cloud computing ［C］// Proceedings of the 2011 International Conference on Electronic and Mechanical Engineering and Information Technology. Piscataway: IEEE, 2011: 4665-4669.
［5］MURATA Y, EGAWA R, HIGASHIDA M, et al.A history-based job scheduling mechanism for the vector computing cloud ［C］// Proceedings of the 10th IEEE/IPSJ International Symposium on Applications and the Internet. Piscataway: IEEE, 2010: 125-128.
［6］WEI G, VASILAKOS A V, ZHENG Y, et al.A game theoretic method of fair resource allocation for cloud computing services ［J］. The Journal of Supercomputing, 2010, 54(2): 252-269.
［7］LIN W, WANG J Z, CHEN L, et al.A threshold-based dynamic resource allocation scheme for cloud computing ［J］. Procedia Engineering, 2011, 23: 695-703.
［8］van NGUYEN H, DANG TRAN F, MENAUD J M. Autonomic virtual resource management for service hosting platforms ［C］// Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing. Washington, DC: IEEE Computer Society, 2009: 1-8.
［9］GAO Z, LUO S. Dynamic grid resources reserve mechanism based on resource-reserve figure ［J］. Journal of Software, 2011, 22(10): 2497-2508.(高瞻,罗四维.基于资源—预留图的动态网格资源预留机制［J］.软件学报,2011,22(10):2497-2508.)
［10］SONMEZ O R, MOHAMED H, EPEMA D H J. On the benefit of processor coallocation in multicluster grid systems ［J］. IEEE Transactions on Parallel and Distributed Systems, 2010, 21(6): 778-790.
［11］BUYYA R, YEO C S, VENUGOPAL S. Market-oriented cloudcomputing: vision, hype, and reality for delivering IT services as computing utilities ［C］// Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications. Piscataway: IEEE, 2008: 5-13.
［12］ZHANG S, CAO Y, LIAO L, et al.Resource scheduling reliability model and the resource scheduling algorithm in cloud computing ［J］. Journal of Chinese Computer Systems, 2005, 26(12): 2140-2143.(张树东,曹元大,廖乐健,等.资源调度中的资源信度模型和调度算法［J］.小型微型计算机系统,2005,26(12):2140-2143.)
［13］BOYAR J, DSA G, EPSTEIN L. On the absolute approximation ratio for first fit and related results ［J］. Discrete Applied Mathematics, 2012, 160(13/14): 1914-1923.
［14］WOOD T, SHENOY P, VENKATARAMANI A, et al.Black-box and gray-box strategies for virtual machine migration ［C］// NSDI'07: Proceedings of the 4th USENIX Conference on Networked Systems Design and Implementation. Berkeley, CA: USENIX Association, 2007: 17-17.

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云计算环境下动态资源碎片管理机制

Dynamic resource management mechanism of debris resources in cloud computing

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