An Ant-based Mobile Agent Approach to Resource Discovery in Grid Computing
Devendra Gengan, Marthie A. Schoeman, John Andrew van der Poll · 2014
Grid Computing is used to solve complex scientific computing problems and uses large amounts of computing resources to do so. A Grid Computing architecture is inherently complex and differs significantly from other computing paradigms such as client-server technologies. Resource Discovery in particular is non-trivial in Grid Computing owing to the complex nature of its heterogeneous components, geographic distances between components and the dynamic nature of a typical Grid. An evaluation of three prominent approaches reveals that each technique was created for a specific type of Grid Computing architecture. On the strengths and shortcoming of these approaches, we propose a framework for an enhanced model for resource discovery in grid computing. Our model is inspired by Mobile agent- and Bio-ant technology, coupled with Ant Colony optimization techniques for improved ways of solving the resource discovery problem in grid computing.