论文信息 - An agent-based resource allocation model for grid computing

An agent-based resource allocation model for grid computing

The paper employs three types of agents namely resource brokering agents (RBAs), job agents (JAs), and resource monitoring agents (RMAs) for resource allocation in grid computing. RBA acts as a resource scheduler as well as a broker for the users to submit their jobs through JAs. JAs search for the resources. RMAs reside inside the nodes of the local cluster and inform the status of the resources to the local cluster server. The proposed model is evaluated in a simulated environment to test its operational effectiveness in various scenarios.

[1] Rajkumar Buyya,et al. GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing , 2002, Concurr. Comput. Pract. Exp..

[2] Beniamino Di Martino,et al. Grid performance and resource management using mobile agents , 2004 .

[3] Michael Wooldridge,et al. An introduction to multiagent systems Wiley , 2002 .

[4] P. Venkataram,et al. Applications of agent technology in communications: a review , 2004, Comput. Commun..

[5] Rajkumar Buyya,et al. Architectural Models for Resource Management in the Grid , 2000, GRID.

[6] Warren Smith,et al. A Resource Management Architecture for Metacomputing Systems , 1998, JSSPP.

[7] Subhash Saini,et al. ARMS: An agent-based resource management system for grid computing , 2002, Sci. Program..

[8] Ami Marowka,et al. The GRID: Blueprint for a New Computing Infrastructure , 2000, Parallel Distributed Comput. Pract..

[9] Ian Foster,et al. The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[10] David Abramson,et al. Economic models for resource management and scheduling in Grid computing , 2002, Concurr. Comput. Pract. Exp..

[11] Barbara Messing,et al. An Introduction to MultiAgent Systems , 2002, Künstliche Intell..