A Classification-Based Virtual Machine Placement Algorithm in Mobile Cloud Computing

被引：9
|
作者：
Tang, Yuli [1 ]
Hu, Yao [1 ]
Zhang, Lianming [1 ]
机构：
[1] Hunan Normal Univ, Key Lab Internet Things Technol & Applicat, Coll Phys & Informat Sci, Changsha 410081, Hunan, Peoples R China
来源：
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | 2016年 / 10卷 / 05期
基金：
中国国家自然科学基金;
关键词：
mobile cloud computing; virtual machine placement; resource equilibrium; task response time; placement efficiency; wireless network; ARCHITECTURE; FRAMEWORK; ART;
D O I：
10.3837/tiis.2016.05.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In recent years, cloud computing services based on smart phones and other mobile terminals have been a rapid development. Cloud computing has the advantages of mass storage capacity and high-speed computing power, and it can meet the needs of different types of users, and under the background, mobile cloud computing (MCC) is now booming. In this paper, we have put forward a new classification-based virtual machine placement (CBVMP) algorithm for MCC, and it aims at improving the efficiency of virtual machine (VM) allocation and the disequilibrium utilization of underlying physical resources in large cloud data center. By simulation experiments based on CloudSim cloud platform, the experimental results show that the new algorithm can improve the efficiency of the VM placement and the utilization rate of underlying physical resources.
引用
收藏
页码：1998 / 2014
页数：17
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