ARMS: An Agent‐Based Resource Management System for Grid Computing
Citations Over TimeTop 10% of 2002 papers
Abstract
Resource management is an important component of a grid computing infrastructure. The scalability and adaptability of such systems are two key challenges that must be addressed. In this work an agent‐based resource management system, ARMS, is implemented for grid computing. ARMS utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on a local grid resource. At the meta‐level, a hierarchy of homogeneous agents are used to provide a scalable and adaptable abstraction of the system architecture. Each agent is able to cooperate with other agents and thereby provide service advertisement and discovery for the scheduling of applications that need to utilise grid resources. A case study with corresponding experimental results is included to demonstrate the efficiency of the resource management and scheduling system.
Related Papers
- → Study on Computing Grid Distributed Middleware and Its Application(2009)11 cited
- Survey: Grid Computing and Semantic Web(2010)
- → Architectural model for grid resources discovery(2008)3 cited
- Scientific applications of grid computing : First International Workshop, SAG 2004 Beijing, China, September 20-24, 2004 : revised selected and invited papers(2005)
- Grid computing and Grid Resource Discovery(2010)