Optimized virtual machine tree based scheduling technique in cloud using K-way trees

Innovations are necessary to ride the inevitable tide of change. Virtualization is used in cloud computing to efficiently use the available resources. The increasing demand of efficient computing resources is leading to adaption of Service Oriented Architecture (SOA). Cloud provides computing resources in various means, including Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Cloud Computing is still at its infant stage and a very new technology, To make the cloud resource efficient for better profits as service, task scheduling plays a vital role. This research paper tackles this issue of task distribution over the cloud resources by the use of k-way virtual machine tree based task scheduling. Heterogeneous Cloud Computing Environment was created for meeting the real-time environments needs. CloudSim toolkit is used to simulate the results, the results show that the proposed algorithm gives better results in terms of response time of the cloud leading to a better QoS.