Adaptive Dimensioning of Cloud Data Centers

被引：2
|
作者：
Tian, Wenhong [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Software Engn, Chengdu 610054, Peoples R China
来源：
EIGHTH IEEE INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, PROCEEDINGS | 2009年
关键词：
Cloud computing; Cloud Data Centers (CDCs); Adaptive Dimensioning Methods;
D O I：
10.1109/DASC.2009.58
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Cloud data centers (CDCs) provide key infrastructure for Cloud computing. Allocating computing resources is very important for the CDCs to function efficiently. Current allocation of resources in CDCs is mostly dedicated and static. However, workloads for Cloud applications are highly variable which cause poor application performance, poor resource utilization or both. In this paper, adaptive dimensioning methods for CDCs are developed so that right amount of computing resources are allocated for variable workloads to meet quality of service requirements.
引用
收藏
页码：5 / 10
页数：6
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