Cloud computing is a developing concept that has been used in every sector either government or private sector. Powerful data centres are used on clouds to handles the large number of requests. Dynamic pool of requests and virtualization has been provided by the cloud. To handle large number of requests, a proper load balancing technique is required that can equally share the loads among data centres. In this paper, a novel load balancing algorithm is proposed that will help in efficient utilization of resources. Set the priority of each request and Virtual Machines (VM) based on some predefined parameters. Experimental result shows that proposed technique is more efficient and less time consuming.

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Now a day, energy consumption is the big challenge in heterogeneous cloud computing environment that needs to be considered. Cloud service provider also needs to satisfy customer’s Quality of Service (QoS) for better utilization. An energy efficient task scheduling based on QoS parameter has been proposed to address above said challenge. Firsty, all the incoming tasks are categorized into four classes based on some special attributes and prioritize according to importance of the classes. Secondly, Physical Machines (PMs) type confirmation list is selected based on the number of resource blocks and then select one PM that has maximum QoS value. All the Virtual Machines (VMs) on selected PM are prioritized according to their weight. Experimental evaluation done on CloudSim shows the effectiveness and efficiency of proposed approach.

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