QoS agent based framework and algorithm for task scheduling in grid

Grid computing promotes resource sharing, dynamic computational resource allocation, distributed data access from disjoint application domains and allowing various service providers to meet different demands efficiently. With an increase of user demands to the resources, planning the guaranteed Quality of Service (QoS) is a challenging task. The objective of this paper is to propose an agent based grid framework and QoS Time Based Scheduling (QTBS) algorithm for effective task scheduling in the grid computing paradigm. This algorithm is simulated in the GridSim toolkit and the results shows that the proposed work gives better results in makespan, resource utilization rate and load balancing level than algorithms such as QoS guided Weighted Mean Time Min (QWMTM), QoS guided MinMin, Max-Min and Min-Min heuristic algorithms.