DocumentCode
2586792
Title
Affinity and Conflict-Aware Placement of Virtual Machines in Heterogeneous Data Centers
Author
Kui Su ; Lei Xu ; Cong Chen ; Wenzhi Chen ; Zonghui Wang
Author_Institution
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
fYear
2015
fDate
25-27 March 2015
Firstpage
289
Lastpage
294
Abstract
Virtual machine placement (VMP) problem has been a key issue in IaaS/PaaS cloud infrastructures. Many recent works on VMP prove that inter-VM relations such as memory share, traffic dependency and resource competition should be seriously considered to save energy, increase the performance of infrastructure, reduce service level agreement violation rates and provide better administrative capabilities to the cloud provider. However, most existing works consider the inter-VM relations without taking the heterogeneity of cloud data centers into account. In practice, heterogeneous physical machines (PM) in a heterogeneous data center are often partitioned into logical groups for load balancing and specific services, cloud users always assigned their VMs with specific PM requirements, which make the inter-VM relations far more complex. In this paper, we propose an efficient solution for VMP with inter-VM relation constraints in a heterogeneous data center. The experimental results prove that our solution can efficiently solve the complex problem with an acceptable runtime.
Keywords
cloud computing; computer centres; resource allocation; virtual machines; virtualisation; IaaS cloud infrastructure; PaaS cloud infrastructure; VMP; cloud data center; load balancing; virtual machine placement; Bandwidth; Delays; Distributed databases; Greedy algorithms; Runtime; Security; Virtual machining; Affinity; Cloud data centers; Conflict; Heterogeneity; Virtual machine placement;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4799-8260-8
Type
conf
DOI
10.1109/ISADS.2015.42
Filename
7098274
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