Energy-Efficient Group Migration of Virtual Machines in a Cluster

Author(s):  
Dilawaer Duolikun ◽  
Tomoya Enokido ◽  
Makoto Takizawa
2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy

2012 ◽  
Vol 56 (10) ◽  
pp. 19-25 ◽  
Author(s):  
Shailesh Deore ◽  
A. N. Patil ◽  
Ruchira Bhargava

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 94697-94718
Author(s):  
Hatem A. Alharbi ◽  
Taisir E. H. Elgorashi ◽  
Jaafar M. H. Elmirghani

Author(s):  
Hatem A. Alharbi ◽  
Taisir E.H. Elgorashi ◽  
Ahmed Q. Lawey ◽  
Jaafar M.H. Elmirghani

2017 ◽  
Vol 10 (13) ◽  
pp. 162
Author(s):  
Amey Rivankar ◽  
Anusooya G

Cloud computing is the latest trend in large-scale distributed computing. It provides diverse services on demand to distributive resources such asservers, software, and databases. One of the challenging problems in cloud data centers is to manage the load of different reconfigurable virtual machines over one another. Thus, in the near future of cloud computing field, providing a mechanism for efficient resource management will be very significant. Many load balancing algorithms have been already implemented and executed to manage the resources efficiently and adequately. The objective of this paper is to analyze shortcomings of existing algorithms and implement a new algorithm which will give optimized load balancingresult.


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