Optimised scheduling in cloud computing

Abstract

A newly emerging technology which provides resources for the purpose of computation of resources which is based on the user demand is known as Cloud computing. This supply based on the demand for resources are scheduled on the basis of certain policies. In order to combat and solve the Virtual Machine (VM) scheduling problem in cloud computing, a new and unique Tabu Search (TS) resource based scheduling algorithm which has its basis on auction mechanism is shown by keeping in mind many factors including the band with and deadline for network and auction. The bids of the clients are firstly sequenced within the competition deadline. Secondly, a screening of the client group is done and the VM resource that corresponds to it is configured in accordance to the minimal cost of the service providers. Lastly, payment price is finalised by taking average payment as well as payment made by competitors into consideration thereby enabling the timely completion of the VM resource task. The results of the simulation experiments prove that the algorithm proposal that was made is capable of enhancing efficiently the QoS or the Quality of Service of the cloud environment, and also ensure that the profits of the providers of cloud service and the rate of resource utilization of VM are efficiently completed.