NDLI: Two-Phase Online Virtual Machine Placement in Heterogeneous Cloud Data Center

Content Provider	IEEE Xplore Digital Library
Author	Jiyuan Shi Fang Dong Jinghui Zhang Junzhou Luo Ding Ding
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China (Jiyuan Shi; Fang Dong; Jinghui Zhang; Junzhou Luo; Ding Ding)
Abstract	With the rapid development and popularity of cloud computing technology, more and more Collaborative Virtual Environment (CVE) systems are migrated to cloud computing environment to improve the effectiveness of resource usage. Virtual Machine (VM) placement in cloud data center is a key issue of providing high-efficient cloud platform for CVE system. However, most existing VM placement algorithms ignore the following characteristics of actual cloud environment: (1) VMs deployment requests arrive and leave dynamically, (2) Cloud data center usually consists of many heterogeneous Physical Machines (PMs). Ignoring these two characteristics result in an inefficient and unbalanced use of multiple resources of PMs. Thus using these algorithms directly will lead to a poor resource utilization. In this article, we propose a two-phase online VM placement algorithm, which helps the cloud data center to minimize different resource usages and aims at a more efficient use of multiple resources. Our algorithm selects the most suitable PM type for VM based on Cosine Similarity, and adaptively maps VMs to PMs by using an approximation algorithm. The proposed algorithm is evaluated by simulations. Experimental results show our proposed algorithm ensures a more efficient use of multiple resources over the existing approaches.
Starting Page	1369
Ending Page	1374
File Size	498409
Page Count	6
File Format	PDF
e-ISBN	9781479986972
DOI	10.1109/SMC.2015.243
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Heuristic algorithms Approximation algorithms Virtual machining Resource management Algorithm design and analysis Collaboration cloud computing online algorithm VM placement resource management heterogeneous data center collaborative virtual environments
Content Type	Text
Resource Type	Article

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