ACTIVE RESOURCES ALLOCATION FOR CLOUD VIRTUAL ENVIRONMENTS USING EASJSA

Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. This project presents a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. The existing system is "skewness" model introduced to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. It develops a set of heuristics that prevent overload in the system effectively while saving energy used. In addition, this paper proposes an Enhanced Adaptive Scoring Job Scheduling Algorithm (EASJSA) for the cloud environment. Compared to other methods, it can decrease the completion time of submitted jobs, which may compose of computing-intensive jobs and data-intensive jobs.