Decision theoretic resource management for intelligent environments

Intelligent environments are becoming more complex, involving greater numbers of more sophisticated devices and agents. As complexity increases, it becomes difficult to build agents that effectively use the resources in their space. Agents may not know which resources are present in a given space, and they are almost certainly do not know which resources are inoperative or being used by other agents. To address this problem, this paper introduces PrefMan, a new resource management system for intelligent environments. To use this system, agents simply request a particular service type and give preferences over resource attributes. T he system keeps track of resources, their types, and their availability, and uses the preferences to intelligently allocate resources to the requesting agent. This paper describes PrefMan in detail and illustrates why it is an effective solution to the resource management problem.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2003

Author dc:creator

• Kochman, Robert W. (Robert Walter), 1979-

Advisor dc:contributor.advisor

• Howard Shrobe.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/29673

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/29673