An Agent-based Resource Allocation Model for computational grids

Manvi, Sunilkumar S.; Birje, Mahantesh N.; Prasad, Bhanu

doi:10.3233/mgs-2005-1103

Cited by 23 publications

(14 citation statements)

References 14 publications

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“…Last year S. S. Manvi and colleagues proposed somewhat different approach to agents in grids [9]. They started from an economic model and utilized mobile agents which traverse the network to complete a user defined task.…”

Section: Agents In Grids Todaymentioning

confidence: 99%

tilizing agent teams in grid resource management preliminary considerations

Dominiak

Kuranowski²,

Gawinecki³

et al. 2006

IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)

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Section: Agents In Grids Todaymentioning

confidence: 99%

tilizing agent teams in grid resource management preliminary considerations

Dominiak

Kuranowski²,

Gawinecki³

et al. 2006

IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06)

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“…Structured networks [32], [33], [34],and [ 35] ,eliminate the problem of bottleneck while the nodes have the same load. Moreover, the structured nature of the grid causes the system to use efficient routings algorithms for queries, to enhance the scalability of the grid system.…”

Section: Agent Based Techniquesmentioning

confidence: 99%

A Hybrid Resource Discovery Model for Grid Computing

Bashir¹,

Shafie²,

Latiff³

et al. 2011

IJGCA

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“…However this system does not have an economic model associated with it. An economic model is considered in [11]. Here mobile agent's traverse through the nodes in the network and when a suitable resource is found in any node, process is executed in that node, otherwise it moves to the next node.…”

Section: Related Workmentioning

confidence: 99%

Ardnas

Muthuchelvi

Mala

Ramachandran

2009

Proceedings of the International Conference on Advances in Computing, Communication and Control

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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

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An Agent-based Resource Allocation Model for computational grids

Cited by 23 publications

References 14 publications

tilizing agent teams in grid resource management preliminary considerations

tilizing agent teams in grid resource management preliminary considerations

A Hybrid Resource Discovery Model for Grid Computing

Ardnas

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