RMF: Resource monitoring framework for integrating active and passive monitoring tools in Grid environments

Yang, Ruoyun; Theys, Mitchell D.

doi:10.1016/j.jpdc.2005.05.012

Cited by 1 publication

(2 citation statements)

References 21 publications

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“…In the MAAG, each service is managed independently by an intelligent agent. The agent manages requests, negotiates with service consumers, performs advanced reservation [4][5][6][7][8][9][10][11][12][13][14][15][16] and measures QoS metrics of all instances of a grid service in a specific grid site. Also each grid application has an intelligent agent who is responsible for application execution respecting to the QoS constraints defined by its owner.…”

Section: Introductionmentioning

confidence: 99%

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A Multi-Agent Architecture for QoS Support in Grid Environment

Rezaee¹,

Rahmani²,

Parsa³

et al. 2008

J. of Computer Science

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Grid computing is emerged as a new distributed computing technology that implements flexible and coordinated resource sharing among dynamic, heterogeneous, unpredictable and geographically distributed collections of resources owned by different individuals and organizations. Due to heterogeneous and dynamic nature of the grid, resource management and application scheduling is a complex undertaking. This paper proposed a multi-agent architecture that addressed resource management and application execution with support for Quality of Services (QoS) in grid environment. Five types of collaborative intelligent and mobile agents proposed to manage grid resources and applications in a decentralized, autonomous and intelligent manner. In the proposed architecture, negotiation, advanced reservation and QoS measurements handled by collaborative intelligent agents. Resources and applications are managed independently with respect to their defined policies. The simulation results showed that the multi-agent architecture is practical, flexible and effective.

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Section: Introductionmentioning

confidence: 99%

“…GrADS monitor resources using NWS and use Autopilot for performance prediction [12,13] . Also in [14] mobile agent technology used to perform active monitoring in grid environment.…”

Section: Introductionmentioning

confidence: 99%