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The Virtual Machine Deployment Strategy for Energy Saving and Service Level Agreement Compliance

Authors: D.Jayadurga;

The Virtual Machine Deployment Strategy for Energy Saving and Service Level Agreement Compliance

Abstract

Energy efficiency is one of the most crucial aspects to consider while operating a cloud. After all, a cloud that isn't energy efficient will be more expensive to operate and maintain. Using the horse herd algorithm to position virtual machines within a cloud is one technique to increase the system's energy efficiency. The horse herd algorithm is a heuristic used to optimize virtual machines' placement in a cloud. The algorithm works by first identifying the set of machines that are most energy efficient. These are the machines that will be used to host the virtual machines. The next step is to identify the set of machines that are the least energy efficient. These are the machines that will be used to host the virtual machines. Finally, the algorithm places the virtual machines on the most energy efficient machines. Additionally, the algorithm can help to meet SLA requirements. This is because the algorithm ensures that the virtual machines are placed on the most energy-efficient machines. As a result, the cloud will be able to meet the SLA requirements. The horse herd algorithm is a fantastic technique to increase a cloud's energy effectiveness. Additionally, the algorithm can help to meet SLA requirements. If you're searching for a way to improve the energy efficiency of your cloud, the horse herd algorithm is a good option to consider. A recent study has shown that the Horse Herd Algorithm can achieve energy efficiency and meet Service Level Agreement (SLA) requirements in virtual machine placement for SDN managed clouds. The Horse Herd Algorithm is a placement algorithm that is based on the location of resources in a data center.

Keywords

Energy Saving, Service Level Agreement (SLA), Cloud Computing, Resource Allocation, Energy-Efficient Strategies, Virtualization, Cloud Management, Performance Optimization, Resource Utilization.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold