Description

Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. However, users are charged on a pay-per-use basis. User applications may incur large data retrieval and execution costs when they are scheduled taking into account only the `execution time’. In addition to optimizing execution time, the cost arising from data transfers between resources as well as execution costs must also be taken into account. Efficient task scheduling mechanism can meet users’ requirements, and improve the resource utilization, thereby enhancing the overall performance of the cloud computing environment. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers. The number of users is huge in cloud computing, and the number of tasks and the amount of data are also huge. How to schedule tasks efficiently is an important issue to be resolved in cloud computing environment. In this project, for efficient execution of task and comparison with FCFS and Round Robin Scheduling the system presents a Generalized Priority algorithm.