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Erschienen in:
2006 | OriginalPaper | Buchkapitel
DAEDALUS – A Peer-to-Peer Shared Memory System for Ubiquitous Computing
verfasst von : Peter Ibach, Vladimir Stantchev, Christian Keller
Erschienen in: Euro-Par 2006 Parallel Processing
Verlag: Springer Berlin Heidelberg
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Data sharing in a large scale and for high volatility tolerance requires peer-to-peer solutions where traditional multiprocessor shared memory systems are not applicable. Efficiency of those P2P shared memory systems depends, in particular, on scale, dynamics, and concurrent write accesses. We have developed a P2P shared memory solution, DAEDALUS, based on SUN’s JXTA framework, and integrated an efficient stochastic locking protocol, proper resource clustering, and semi-hierarchical grouping of nodes. We evaluated the applicability under heavy load, scale, and node mobility. Here, DAEDALUS outperformed a client/server system and solved its inherent scalability problem.