An Efficient Load Balancing Based on Resource Utilization in Cloud Computing
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Abstract
The development of the internet has given birth to many technologies. Cloud
computing is a latest trend in large scale data processing. It aids in providing shared
resources. It gives support to the distributed parallel processing. However, providing
an efficient response time is a major challenging issue in the distributed systems.
Cloud computing provides data on the pay per use basis and eliminates the need of
having one’s own device. As cloud computing grows, more users get attracted
towards it. Lesser response time is needed for distributed computing and effective
load balancing is one of the major issues that can improve response time. Improving
the dynamic nature of load balancing algorithms in order to improve the performance
of the cluster is the first and foremost requirement. In the proposed algorithm, load
balancing is done by considering priority policy. Priority calculation is done by
considering hardware parameters including CPU speed, memory resource and power
consumption which helps to avoid the overloading and underloading of resources. A
resource allocation strategy that takes into account resource utilization would lead to
better energy efficiency. An Efficient Load Balancing based on Resource Utilization
is proposed and related algorithm is executed on cloudsim and its toolkit. The results
show the effectiveness of the proposed algorithm.
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Master of Engineering-Thesis
