Toward self discovery for an autonomic cluster

Authors:
Eric Dines;Andrzej Goscinski
Affiliations:
School of Information Technology, Deakin University, Geelong, Vic, Australia;School of Information Technology, Deakin University, Geelong, Vic, Australia
Venue:
ICA3PP'05 Proceedings of the 6th international conference on Algorithms and Architectures for Parallel Processing
Year:
2005

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Abstract

Nondedicated clusters are currently at the forefront of the development of high performance computing systems. These clusters are relatively intolerant of hardware failures and cannot manage dynamic cluster membership efficiently. This report presents the logical design of an innovative self discovery service that provides for automated cluster management and resource discovery. The proposed service has an ability to share or recover unused computing resources, and to adapt to transient conditions autonomically, as well as the capability of providing dynamically scalable virtual computers on demand.