¹Montana State University, Bozeman, USA
²Winston-Salem State University, Winston-Salem, USA
³The University of Texas at Brownsville, Brownsville, USA

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Abstract—ADE, autonomic distributed environment, is a system which engages autonomic elements to automatically take an existing centralized application and distribute it across available resources. The autonomic elements provide self-management to handle the complexities associated with distribution, configuration, coordination and efficient execution of program components. The proposed approach models a centralized application in terms of an application graph consisting application components and then deploys the application components across the underlying utility-aware hierarchically organized distributed resources so that all constraints and requirements are satisfied and the system’s overall utility is maximized. Then, based on the observations obtained by the monitoring of the system resources, ADE redeploys the application graph to maintain maximized system utilization in spite of the dynamism and uncertainty involved in the system. One important aspect of ADE is that, the deployment decisions can be made based solely on locally available information and without costly global communication or synchronization. The proposed model is therefore decentralized and adaptive.

Index Terms—Automatic partitioning, autonomic computing, self-management, self-optimization, utility function

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Cite: Debzani Deb, M. Muztaba Fuad, Michael J. Oudshoorn, "ADE: Utility Driven Self-management in a Networked Environment," Journal of Computers vol. 2, no.9, pp. 7-15, 2007.