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云计算数据中心的虚拟资源自适应供给模型
引用本文:李 晖,严 文,刘文亮,杨晓东,胡 雯,欧俊龙,唐雨晨,林章岁,梅 超. 云计算数据中心的虚拟资源自适应供给模型[J]. 福州大学学报(自然科学版), 2023, 51(3): 315-319
作者姓名:李 晖  严 文  刘文亮  杨晓东  胡 雯  欧俊龙  唐雨晨  林章岁  梅 超
作者单位:福建省电机工程学会,福建省电机工程学会,国网福建省电力有限公司,国网福建省电力有限公司,清华海峡研究院智慧能源研究中心,清华海峡研究院智慧能源研究中心,国网福建省电力有限公司经济技术研究院,国网福建省电力有限公司经济技术研究院,国网福建省电力有限公司厦门供电公司
基金项目:福建省自然科学基金资助项目(面上项目,重点项目,重大项目)(2020)31号2020R0171
摘    要:随着云计算技术的飞速发展,云计算数据中心的规模越来越大,随之而来的资源管理、运维调度、能耗开销等问题也开始日益严峻。本文对云计算数据中心的设计思路与设计结构进行了详细的介绍,先从云计算数据中心的总体结构进行分析,随后引入虚拟资源自适应供给模型概述,通过综合分析三种不同的虚拟资源供给模型优劣,提出利用多层次网络队列方法搭建虚拟资源自适应供给模型,通过综合考量模型的平均响应时间、服务器利用率、使用成本等因素,对虚拟资源进行合理的规划与调度,最终帮助云计算数据中心配置合适数量的虚拟机,做出合理的资源调度策略,力求优化数据中心的运维调度,降低能耗开销,提高能源利用效率,推动能源发展。

关 键 词:云计算数据中心;多层次网络队列方法;虚拟资源自适应供给模型
收稿时间:2022-03-18
修稿时间:2022-05-13

Adaptive supply model of virtual resources for cloud computing data center
LI Hui,YAN Wen,LIU Wenliang,YANG Xiaodong,HU Wen,OU Junlong,TANG Yuchen,LIN Zhangsui,MEI Chao. Adaptive supply model of virtual resources for cloud computing data center[J]. Journal of Fuzhou University(Natural Science Edition), 2023, 51(3): 315-319
Authors:LI Hui  YAN Wen  LIU Wenliang  YANG Xiaodong  HU Wen  OU Junlong  TANG Yuchen  LIN Zhangsui  MEI Chao
Affiliation:Fujian Society For Electrical Engineering,Fuzhou,Fujian Society For Electrical Engineering,Fuzhou,State Grid Fujiang Electric Power CO,LTD,Fuzhou,State Grid Fujiang Electric Power CO,LTD,Fuzhou,Cross-strait Tsinghua Research TnstituteXIAMENSmart Energy Research Center,Xiamen,Cross-strait Tsinghua Research TnstituteXIAMENSmart Energy Research Center,Xiamen,state grid Fujian economic research institute,Fuzhou,state grid Fujian economic research institute,Fuzhou,State Grid Xiamen Electric Power Supply Company Fujian,Xiamen
Abstract:With the rapid development of cloud computing technology, the scale of cloud computing data centers is becoming larger and larger, resulting in increasingly serious problems such as resource management, operation and maintenance scheduling, and energy consumption. In this paper, the design idea and design structure of cloud computing data center has carried on the detailed introduction, first from the overall structure of the cloud computing data center is analyzed, then the introduction of virtual resources adaptive supply model, through the comprehensive analysis of three different kinds of virtual resources supply model, proposed by adaptive multi-level network queue method to build virtual resources supply model, Through comprehensive consideration model of average response time, server utilization, cost and other factors, reasonable planning and scheduling of virtual resources, and ultimately help cloud computing data center configuration suitable number of virtual machines, make reasonable resource scheduling strategy, makes every effort to optimize data center operations scheduling, reduce the energy consumption costs, improve the efficiency of energy utilization, promoting the development of energy.
Keywords:Cloud computing data center   Multi-level network queue method   Virtual resource adaptive supply model
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