A Resource Management System for Fault Tolerance in Grid Computing

2009 ◽  
Author(s):  
HwaMin Lee ◽  
DooSoon Park ◽  
Min Hong ◽  
Sang-Soo Yeo ◽  
SooKyun Kim ◽  
...  
Keyword(s):  
Fault Tolerance ◽  
Resource Management ◽  
Grid Computing ◽  
Management System ◽  
Resource Management System

scholarly journals ARMS: An Agent-Based Resource Management System for Grid Computing

2002 ◽  
Vol 10 (2) ◽  
pp. 135-148 ◽  
Author(s):  
Junwei Cao ◽  
Stephen A. Jarvis ◽  
Subhash Saini ◽  
Darren J. Kerbyson ◽  
Graham R. Nudd
Keyword(s):  
Resource Management ◽  
Grid Computing ◽  
Management System ◽  
Grid Resource ◽  
Agent Based ◽  
Resource Management System ◽  
Meta Level ◽  
Local Grid ◽  
Prediction Techniques

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.

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