Service-Oriented Virtual Machine Placement Optimization for Green Data Center

2015 ◽  
Vol 20 (5) ◽  
pp. 556-566 ◽  
Author(s):  
Fan-Hsun Tseng ◽  
Chi-Yuan Chen ◽  
Li-Der Chou ◽  
Han-Chieh Chao ◽  
Jian-Wei Niu
2019 ◽  
Vol 8 (2) ◽  
pp. 6464-6468

Current techniques for Virtual machine placement in cloud data center is avoiding multiple resources due to its complexity and hardness of the problem. Due to this each Virtual Machine Placement increased overall frequency of server consolidation and migration. In this paper, we have overcome these limitations by providing local search-based unified approximation framework which utilized multiple resources of server and reduced the frequency of server consolidation and migration. The framework is evaluated on Azure cloud data center benchmark data sets and it has surpassed existing methods with improvement by 32% in overall virtual machine placement


Author(s):  
Prateek Khandelwal ◽  
Gaurav Somani

A crucial component of providing services over virtual machines to users is how the provider places those virtual machines on physical servers. While one strategy can offer an increased performance for the virtual machine, and hence customer satisfaction, another can offer increased savings for the cloud operator. Both have their trade-offs. Also, with increasing costs of electricity, and given the fact that the major component of the operational cost of a data center is that of powering it, green strategies also offer an attractive alternative. In this chapter, the authors will look into what kind of different placement strategies have been developed, and the kind of advantages they purport to offer.


2017 ◽  
Vol 10 (6) ◽  
pp. 902-913 ◽  
Author(s):  
Ao Zhou ◽  
Shangguang Wang ◽  
Bo Cheng ◽  
Zibin Zheng ◽  
Fangchun Yang ◽  
...  

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