An Efficient Virtual Machine Placement for Load Balancing in Cloud Computing

Abstract

Because of adaptability and opportune accessibility of desired resources, cloud computing is getting increasingly prevalent step by step. By giving the predefined virtual machine according to prerequisite, demands are engaged. There will be infringement of service level agreement if virtual machine position will surpass the predetermined time or wanted virtual machine isn't accessible. In the progressively evolving condition, it is exceptionally hard to anticipate the quantity of client and their necessities. Virtual machine is the prime resource. So position of virtual machine will be done such that resources ought to be used productively and there ought to be no infringement of service level agreement.

In the present work, author has given a binarysearch tree based virtual machine position way to deal with advance the resource usage, limit the resource distribution time and limit the service level agreement infringement. Cloudsim test system has been utilized to dissect and analyse the consequences of binarysearch tree based virtual machine situation methodology with different techniques found in literature.