A cluster operating system supporting parallel computing

Goscinski, Andrzej, Hobbs, Michael and Silcock, Jacqueline 2001, A cluster operating system supporting parallel computing, Cluster computing, vol. 4, no. 2, pp. 146-156, doi: 10.1023/A:1011473016546.

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Title A cluster operating system supporting parallel computing
Author(s) Goscinski, Andrzej
Hobbs, MichaelORCID iD for Hobbs, Michael orcid.org/0000-0002-7556-6274
Silcock, Jacqueline
Journal name Cluster computing
Volume number 4
Issue number 2
Start page 146
End page 156
Publisher Kluwer Academic Publishers
Place of publication Amsterdam, Netherlands
Publication date 2001
ISSN 1386-7857
Keyword(s) operating systems
parallel processing
parallelism management
single system image
Summary The single factor limiting the harnessing of the enormous computing power of clusters for parallel computing is the lack of appropriate software. Present cluster operating systems are not built to support parallel computing – they do not provide services to manage parallelism. The cluster operating environments that are used to assist the execution of parallel applications do not provide support for both Message Passing (MP) or Distributed Shared Memory (DSM) paradigms. They are only offered as separate components implemented at the user level as library and independent servers. Due to poor operating systems users must deal with computers of a cluster rather than to see this cluster as a single powerful computer. A Single System Image of the cluster is not offered to users. There is a need for an operating system for clusters. We claim and demonstrate that it is possible to develop a cluster operating system that is
able to efficiently manage parallelism, support Message Passing and DSM and offer the Single System Image. In order to substantiate the claim the first version of a cluster operating system, called GENESIS, that manages parallelism and offers the Single System Image has been developed.
Language eng
DOI 10.1023/A:1011473016546
Field of Research 080307 Operating Systems
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2001, Kluwer Academic Publishers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30001039

Document type: Journal Article
Collection: School of Information Technology
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