Multiagent Systems Storage Resource Allocation in a Peer-to-Peer Distributed File System
Date
2003-01-28
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Abstract
The objective of this research project is to understand and develop
Multiagent Systems (MAS) storage resource allocation algorithms and methods
where a peer-to-peer (P2P) system of computer resources is seen as a community
of peers with different capabilities that collaborate to enhance the global
performance in terms of storage resource balancing. The research focuses on
P2P Distributed File Systems (DFS) storage resource allocation algorithms.
Complex adaptive systems are evaluated and used to produce emergent global
behaviours that can solve the storage resource allocation problem in a
distributed system of peers. Squirrel behaviours provide a metaphor to
develop algorithms and methods to allocate resources. A complete simulation
software tool was developed to implement different behaviours that are
analyzed on different scenarios and experiments. Experimental results support
the initial hypothesis that hoarding mechaninsms found on squirrels
behaviours allocate efficiently resources on a distributed system of consumers
and providers of storage resources.
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Computer Science