期刊名称:Journal of Theoretical and Applied Information Technology
印刷版ISSN:1992-8645
电子版ISSN:1817-3195
出版年度:2015
卷号:80
期号:1
出版社:Journal of Theoretical and Applied
摘要:QoS (Quality of Service) aware task scheduling in cloud computing is a continuous practice due to the divergent scope of user needs. Henceforth the current research is moving in a direction to find optimal solutions for efficient task scheduling towards QoS aware resource utilization in cloud workflow management. Much of the existing solutions are specific to one or two QoS factors mainly task completion and bandwidth. According to the real-time practices, the QoS assessment by one or two factors is impractical. Moreover much of the existing approaches are delivering the computational complexity as O(n2), which is due to the magnification of the increment in number of tasks due to overwhelmed users and their requirements. In this context here we devised an explorative statistical approach, which is based on metrics called resource optimal value ( ) and coupling between tasks ( ), which enables to assess the optimal order of tasks to utilize desired cloud resource. The other key factor of the proposal is to stabilize the computational complexity to O(n*log(n)). The experiment results are indicating the significance of the proposed model towards scalable and robust QoS- aware task scheduling towards optimal utilization of the cloud resource.