Self-Organisation in Data Management

		/vol02/bryan/	© Copyright 1995
		Volume 02	Received: Accepted:	---- ----

Self-Organisation in Data Management Wayne E. Moore, B.J. Curry and J. Geyer
Abstract
	This paper presents results of using an adaptive load-balancing algorithm in relation to self-organisation in the management of very large amounts of data. The results show that the problem of data complexity arising from accessing very large datasets can be overcome simply and efficiently by using adaptive algorithms. The paper also discusses the concomitant problem of maintaining data backup in a real time context for very large datasets in the terrabyte range. A simple backup strategy is presented in the context of a parallel database machine, MEDUSA. MEDUSA is a transputer-based, prototype database machine that has been constructed by the University of Western Sydney (Nepean) and Charles Sturt University (Bathurst).

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