Storage-aware Server Consolidation for Cloud Services Utilizing Local Storage

被引:0
|
作者
Yan, Huining [1 ]
Wang, Huaimin [1 ]
Ding, Bo [1 ]
Mi, Haibo [1 ]
Shi, Dianxi [1 ]
机构
[1] Natl Univ Def Technol, Natl Key Lab Parallel & Distributed Proc, Coll Comp Sci, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
cloud computing; energy efficiency; storage-aware server consolidation; resource management; VIRTUAL MACHINES; ALGORITHMS; MIGRATION; DEMAND;
D O I
10.1109/SmartCity.2015.183
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Server consolidation is one of the critical techniques for energy-efficiency in cloud data centers. As it is often assumed that cloud service instances (e.g., Amazon EC2 instances) utilize the shared storage only, most existing work did not consider the problems introduced by utilizing local storage. In recent years, however, cloud service providers have been providing local storage for cloud users, e.g., Amazon EC2, Aliyun ECS and RDS, since local storage can offer a better performance with identified price. Thus, several problems might be incurred, e.g., migrating much more data, consuming much more migration time and network bandwidth. To address these problems, this paper proposes SaSercon, a storage-aware server consolidation approach to minimize the total migrated data size (stored on the local storage) by releasing the servers which utilize lower data size. Evaluation results on production traces demonstrate that SaSercon significantly reduces the total migrated data size.
引用
收藏
页码:890 / 895
页数:6
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