A Trust Based Ant
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
