DocumentCode :
2792091
Title :
Adaptive Distributed Database Replication Through Colonies of Pogo Ants
Author :
Abdul-Wahid, Sarah ; Andonie, Razvan ; Lemley, Joseph ; Schwing, James ; Widger, Jonathan
Author_Institution :
Dept. of Comput. Sci., Central Washington Univ., Ellensburg, WA
fYear :
2007
fDate :
26-30 March 2007
Firstpage :
1
Lastpage :
8
Abstract :
We address the problem of optimizing the distribution of partially replicated databases over a computer network. Replication is used to increase data availability in the presence of site or communication failures and to decrease retrieval costs by local access if possible. We present a new bio-inspired replication management approach which is adaptive, completely decentralized, and based on swarm intelligence. Each node has the autonomy to start at any time, depending on the internal state of its stored data objects, a redistribution process. "Redistribution" means replicate, create, delete, update, or move data objects to other nodes of the network. The redistribution process is a dynamic load-balancing scheme which runs with lower priority in the background. The system is event-driven, but the learning process is not synchronized with the events.
Keywords :
mobile agents; replicated databases; resource allocation; Pogo ant colony; adaptive distributed database; bioinspired replication management; computer network; data availability; dynamic load-balancing scheme; mobile agent; optimization; redistribution process; replicated database; swarm intelligence; Ant colony optimization; Computer network management; Computer science; Delay; Distributed databases; Information retrieval; Intelligent agent; Load management; Particle swarm optimization; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
Conference_Location :
Long Beach, CA
Print_ISBN :
1-4244-0910-1
Electronic_ISBN :
1-4244-0910-1
Type :
conf
DOI :
10.1109/IPDPS.2007.370575
Filename :
4228303
Link To Document :
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