期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：2
页码：540-547
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Cloud computing is a technology which uses internet and one remote server to maintain data and various applications. Cloud Computing is one of the paradigm in the field of IT. This technology uses the internet and central remote servers to maintain data and applications. There are heterogeneous environment, so, the utilization of resources are accessed and analyzed in real time manner. Allocation of resources to a large number of jobs in a cloud computing environment presents more difficulty than in network computational environments. It aims to find a suitable allocation of resources for each job. Before starting the cloud job allocation, the expected execution time for each task on each machine must be estimated and represented by an Expected Time calculation. Finally we find best completion and makespan time for job scheduling process by using proposed Ant Colony Optimization (ACO). This algorithm is evaluated using the simulated execution times for a cloud environment. Cloud Computing is dynamic in nature. So, prediction based analysis is not possible and performance monitoring of any application in cloud computing is very much important. This paper proposes a scheduling algorithm for proper utilization of the resources and to reduce congestion in cloud environment.
