scholarly journals Heterogeneity and thermal aware adaptive heuristics for energy efficient consolidation of virtual machines in infrastructure clouds

2016 ◽  
Vol 82 (2) ◽  
pp. 191-212 ◽  
Author(s):  
Mohan Raj Velayudhan Kumar ◽  
Shriram Raghunathan
2017 ◽  
Vol 26 (1) ◽  
pp. 113-128
Author(s):  
Gamal Eldin I. Selim ◽  
Mohamed A. El-Rashidy ◽  
Nawal A. El-Fishawy

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