VM level load balancing in cloud environment
M. Ajit, G. Vidya
Abstract
M. Ajit, G. Vidya
Abstract
As Cloud Computing is spreading globally and number of users demanding more cloud services and better results are growing rapidly, cloud load balancing become a very interesting and important research area. Generally, cloud is based on powerful datacenters that handle large number of users, so it must be featured with load balancer to achieve reliability which depends on the way it handles the load. Cloud load balancing helps to enhance the overall cloud performance. Many algorithms were suggested for assigning the users requests to Cloud resources to provide services efficiently. This paper presents the analysis of three contemporary algorithms in cloud analyst tool to resolve the issue of cloud load balancing as a preparation phase for new load balancing technique. A Weighted Signature based load balancing (WSLB) algorithm is proposed to minimize users response time. Further, this paper also provides the anticipated results with the implementation of the proposed algorithm.
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As Cloud Computing is spreading globally and number of users demanding more cloud services and better results are growing rapidly, cloud load balancing become a very interesting and important research area. Generally, cloud is based on powerful datacenters that handle large number of users, so it must be featured with load balancer to achieve reliability which depends on the way it handles the load. Cloud load balancing helps to enhance the overall cloud performance. Many algorithms were suggested for assigning the users requests to Cloud resources to provide services efficiently. This paper presents the analysis of three contemporary algorithms in cloud analyst tool to resolve the issue of cloud load balancing as a preparation phase for new load balancing technique. A Weighted Signature based load balancing (WSLB) algorithm is proposed to minimize users response time. Further, this paper also provides the anticipated results with the implementation of the proposed algorithm.
Key concepts: Cloud computing, Load balancing (electrical power), Computer science, Distributed computing, Cloud testing, Network Load Balancing Services, Cloud computing security, Server