JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
Negotiating Agents in a Market-Oriented Grid
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Agent-Based Resource Management for Grid Computing
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Grid performance and resource management using mobile agents
Performance analysis and grid computing
A survey of bargaining models for grid resource allocation
ACM SIGecom Exchanges
tilizing agent teams in grid resource management preliminary considerations
JVA '06 Proceedings of the IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing
Relaxed-criteria G-negotiation for Grid resource co-allocation
ACM SIGecom Exchanges
An Agent-based Resource Allocation Model for computational grids
Multiagent and Grid Systems
ARMS: An agent-based resource management system for grid computing
Scientific Programming
ABRMAS: Agent Based Resource Management with Alternate Solution
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
| Hi-index | 0.00 |
As grid resources are geographically distributed, efficient resource discovery and management has become one of the important requirements. Besides, Grid users are independent identities and negotiation is necessary for reconciling their diverse characteristics. Therefore special mechanism is required to negotiate and discover the required or similar resource as an alternative when discovery fails. Towards this end, a system of 'ARDNAS: Agent based Resource Discovery with Negotiated Alternate Solution' is proposed to provide an expeditious and efficient resource, most relevant alternate resource when discovery fails. In this system, resource provider agents are classified according to their specialization of services and requests are routed to a specific agent group to augment the efficiency. Thus, agents are highly successful in acquiring resource to minimize the overhead delay on account of instantly unavailable resources and thereby increase the success rate of the agent