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s: Cloud Computing provide the chance to use computing resources over the internet without owning the infrastructure. The main content of Cloud Computing is to manage Software application, data storage and processing capacity which are assigned to external users on demand through the internet and pay only for what they use. Task scheduling in cloud computing is the biggest challenges because many tasks need to be executed by the available resources in order to meet user’s requirements. To achieve best performance, minimize total completion time, minimize response time and maximize resources utilization there is need to address these challenges. This paper studies different task scheduling algorithms and an Enhanced Min-min algorithm is developed. The algorithm uses the advantages of Min-min and avoids its drawbacks. The main idea of the proposed algorithm is to allocate tasks to resources appropriately in order to achieve an effective load balancing and decrease completion time. The experimental results indicate that the proposed algorithm compared to Min-min and Max-min produces better Makespan and improved resources utilization.

Optimizing Task Scheduling and Resource allocation in Cloud Data Center, using Enhanced Min-Min Algorithm