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| 面向Internet 数据中心的资源管理 |
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张伟1,2, 宋莹3, 阮利1,2,4, 祝明发1,2, 肖利民1,2
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1.软件开发环境国家重点实验室(北京航空航天大学),北京 100191;2.北京航空航天大学 计算机学院,北京 100191;3.计算机体系结构国家重点实验室(中国科学院 计算技术研究所),北京 100190;4.轨道交通控制与安全国家重点实验室(北京交通大学),北京 100044
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| 摘要: |
| Internet 数据中心向多元化、智能化、自动化、规模化与标准化道路发展,其规模越来越大、越来越复杂, 这为如何有效管理资源带来极大的冲击与挑战.当前,资源管理已成为Internet 数据中心亟待解决的重要问题,其重要性与紧迫性已不容忽视.分析了Internet 数据中心资源管理面临的两大挑战:(1) 满足并发多应用SLAs(service level agreements)的兼容性;(2) 提高系统服务的能量有效性.以挑战为主线,对近十几年来国内外在满足SLA、降低功耗、同时满足SLA 和降低功耗方面所取得的资源管理研究成果进行了全面的概括总结和分析,最后进行总结并对未来的研究发展趋势提出观点. |
| 关键词: 数据中心 资源管理 SLA(service level agreement) 功耗 虚拟化 |
| DOI：10.3724/SP.J.1001.2012.04146 |
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| 基金项目:国家自然科学基金(60973007, 61003015, 60973008, 60921002); 国家高技术研究发展计划(863)(2011AA01A205); 国家教育部高等学校博士学科点专项科研基金(20101102110018); 核高基重大专项(2010ZX01036-001-001); 2011 专项移动互联网总体架构研究项目(2011ZX03002-001-01); 轨道交通控制与安全国家重点实验室(北京交通大学)开放课题基金(RCS2008K001) |
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| Resource Management in Internet-Oriented Data Centers |
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ZHANG Wei1,2, SONG Ying3, RUAN Li1,2,4, ZHU Ming-Fa1,2, XIAO Li-Min1,2
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1.State Key Laboratory of Software Development Environment (BeiHang University), Beijing 100191, China;2.School of Computer Science and Technology, BeiHang University, Beijing 100191, China;3.State Key Laboratory of Computer Architecture (Institute of Computing Technology, The Chinese Academy of Sciences), Beijing 100190, China;4.State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China
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| Abstract: |
| Internet data centers are developing towards a diversified, intelligent, automated, large-scaled, and standardized direction. With the increasing of scale and complexity, it brings great challenges in how to effectively manage resources. Currently, resource management has become a major issue in Internet data centers, and its importance and urgency cannot be ignored. This paper analyzes two major challenges of resource management with which the Internet data center is facing: (1) meeting the compatibility of concurrent and multiple application SLAs (service level agreements); (2) improving the energy efficiency of system service. Based on the challenges, this paper thoroughly analyzes and summarizes the related work of resource management guaranteeing the SLA, reducing power, and incorporating the objectives of guaranteeing the SLA and reducing power simultaneously during the last ten years. Finally, the paper summaraizes the research and points out future research directions. |
| Key words: data center resource management SLA (service level agreement) power virtualization |
