A Trust Based Ant Colony Optimized Grid Scheduling
E. Saravana Kumar 1, A. Sumathi 2
1. Research Scholar, Anna University of Technology, Coimbatore, Tamil Nadu, India
2. Professor/ECE, Adhiyamman College of Engineering, Hosur, Tamil Nadu, India
Abstract: Resources discovery and scheduling, a core grid service impacts overall system performance and service quality directly. In grid computing services, the system in addition to attempting to locate an optimal resource to improve overall system performance also aims to use resources efficiently. Most scheduling and resource selection algorithms fail to consider resource characteristics resulting in reliability and security issues which in turn affect service quality. This work proposes implementation of a Trust Ant colony optimization (TACO) module, forecasting trust throughout a network grid. The proposed approach computes each entity’s Trust Factor value to determine the self-protection capability and reputation weightage. When the trust module is integrated with dynamic scheduling, lower task failure ensures secure resource utilization.
[E. Saravana Kumar, A. Sumathi. A Trust Based Ant Colony Optimized Grid Scheduling. Life Sci J 2013;10(7s): 466-470] (ISSN:1097-8135). http://www.lifesciencesite.com. 72
Keywords: Grid Computing; Resource Selection; Trust, Reputation; Ant Colony Optimization