Efficient Resource Allocation and Scheduling Approach to Enhance the Performance Of Cloud Computing

Cloud storage offering number of services where you can upload, document, data, images, videos and other files to a website to share with other. These files can access from any location or any type of device (laptop, mobile phone, tablet etc). Cloud computing distributes the computational tasks on the resource pool which consists of massive computers so that the service consumer can gain maximum computation strength, more storage space and software services for its application according to its need. Today’s number of user in cloud are increase day by day they used cloud services But as the demand for cloud services increases, the ensuing increases in cost and complexity for the cloud provider may become unbearable means a huge amount of data moves from user to host and hosts to user in the cloud environment. In some cases two or multiple user request for the same resource. Based on the above these considerations, how to select appropriate host for accessing resources and creating a virtual machine (VM) to execute applications so that execution becomes more efficient and access cost becomes low are the challenging tasks. To solve this problem and increase the performance of cloud computing environment scheduling of task performed in order to gain maximum profit. This project gives a strategy for job scheduling. In this paper, an attempt has been made to propose a host selection model based on minimum execution time to minimize cost. Our analysis also attempts to schedule the jobs such a way that cloud provider can gain maximum benefit for his service and Quality of Service (QoS) requirement user's job. This strategy enhances the performance of cloud service