Autonomic resource management through self-organising agent communities

Mariusz Jacyno, Seth Bullock, Terry R. Payne, Nicholas Geard, Michael Luck

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)


In this paper, we analyse how autonomic resource management can be achieved within a system that lacks centralized information about current system demand and the state of system elements. Rather, regulation of service provision is achieved through local co-adaptation between two groups of system elements, one tasked to autonomously decide which services to offer and the other to consume them in a manner that minimises resource contention. We explore how varying the amount of information stored by agents influences system performance, and demonstrate that when the information capacity of individual agents is limited they self-organise into communities that facilitate the local exchange of relevant information. Such systems are stable enough to allocate resources efficiently and to minimise unnecessary reconfiguration, but also adaptive enough to reconfigure when resource demand changes.
Original languageUndefined/Unknown
Title of host publicationProceedings of the Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2008)
EditorsSven Brueckner, Paul Robertson, Umesh Bellur
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Publication statusPublished - 2008

Bibliographical note

Event Dates: October 20-24, 2008

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