Development and Analysis of a New Cloudlet Allocation Strategy for QoS Improvement in Cloud

Cloud computing has emerged as a dominant and transformational paradigm in Information technology domain over the last few years. It begins to affect a multitude of industries such as government, finance, telecommunications, and education. The Quality of Service (QoS) of a cloud service provider is an important research field which encompasses different critical issues such as efficient load balancing, response time optimization, completion time improvement, makespan improvement, and reduction in wastage of bandwidth, accountability of the overall system. This paper highlights a new cloudlet allocation policy with suitable load balancing technique that helps in distributing the cloudlets to the virtual machines (VMs) equally likely to their capacity which makes the system more active, alive, and balanced. This reduces the completion time of the cloudlet(s) as well as reduces the makespan of the VM(s) and the host(s) of a data center. Eventually, this proposed work improves the QoS. The experimental results obtained using CloudSim 3.0.3 toolkit extending few base classes are compared and analyzed with several existing allocation policies.