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Article: Strategies optimization and integration in DSM

TitleStrategies optimization and integration in DSM
Authors
KeywordsConsistency model
DSM
Granularity
Group
Protocol Engine
Issue Date2000
PublisherAssociation for Computing Machinery, Inc.
Citation
Operating Systems Review (Acm), 2000, v. 34 n. 3, p. 29-39 How to Cite?
AbstractIn large-scale parallel computing that may contain many nodes, a computing task is often divided into several sub-tasks running on a large platform. We present a group-based DSM model named GDSM. In our solution, sub-tasks are to be mapped to groups, which applies different techniques based on the distinct characteristics of inter-group and intra-group data sharing. A series of alternatives are employed with respect to the intra-group and inter-group property of this mechanism: (1) Consistency model: Release Consistency vs. Scope Consistency; (2) Coherence protocol: multiple-writer and write-update protocol vs. single-writer and write-invalidate protocol; (3) Granularity: fine-grain vs. coarse-grain. Our strategy to combine grouping with consistency and granularity switch enhances flexibility, cuts down the overhead of consistency maintenance, increases the parallelism between groups and thus promotes system performance. We also put forward the architecture of Protocol Engine based on group implementing the GDSM scheme, the engine that achieves message-forwarding transparency, clear hierarchical structure and encapsulation of group.
Persistent Identifierhttp://hdl.handle.net/10722/88936
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorJi, Len_HK
dc.contributor.authorTianning, Len_HK
dc.contributor.authorGuihai, Cen_HK
dc.contributor.authorLi, Xen_HK
dc.contributor.authorWang, CLen_HK
dc.date.accessioned2010-09-06T09:50:20Z-
dc.date.available2010-09-06T09:50:20Z-
dc.date.issued2000en_HK
dc.identifier.citationOperating Systems Review (Acm), 2000, v. 34 n. 3, p. 29-39en_HK
dc.identifier.issn0163-5980en_HK
dc.identifier.urihttp://hdl.handle.net/10722/88936-
dc.description.abstractIn large-scale parallel computing that may contain many nodes, a computing task is often divided into several sub-tasks running on a large platform. We present a group-based DSM model named GDSM. In our solution, sub-tasks are to be mapped to groups, which applies different techniques based on the distinct characteristics of inter-group and intra-group data sharing. A series of alternatives are employed with respect to the intra-group and inter-group property of this mechanism: (1) Consistency model: Release Consistency vs. Scope Consistency; (2) Coherence protocol: multiple-writer and write-update protocol vs. single-writer and write-invalidate protocol; (3) Granularity: fine-grain vs. coarse-grain. Our strategy to combine grouping with consistency and granularity switch enhances flexibility, cuts down the overhead of consistency maintenance, increases the parallelism between groups and thus promotes system performance. We also put forward the architecture of Protocol Engine based on group implementing the GDSM scheme, the engine that achieves message-forwarding transparency, clear hierarchical structure and encapsulation of group.en_HK
dc.languageengen_HK
dc.publisherAssociation for Computing Machinery, Inc.en_HK
dc.relation.ispartofOperating Systems Review (ACM)en_HK
dc.rightsOperating Systems Review. Copyright © Association for Computing Machinery, Inc.en_HK
dc.subjectConsistency modelen_HK
dc.subjectDSMen_HK
dc.subjectGranularityen_HK
dc.subjectGroupen_HK
dc.subjectProtocol Engineen_HK
dc.titleStrategies optimization and integration in DSMen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0163-5980&volume=34&spage=29&epage=39&date=2000&atitle=Strategies+Optimization+and+Integration+in+DSMen_HK
dc.identifier.emailWang, CL:clwang@cs.hku.hken_HK
dc.identifier.authorityWang, CL=rp00183en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-0040522158en_HK
dc.identifier.hkuros51495en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0040522158&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume34en_HK
dc.identifier.issue3en_HK
dc.identifier.spage29en_HK
dc.identifier.epage39en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridJi, L=7201377954en_HK
dc.identifier.scopusauthoridTianning, L=6505583249en_HK
dc.identifier.scopusauthoridGuihai, C=7406537386en_HK
dc.identifier.scopusauthoridLi, X=26663027200en_HK
dc.identifier.scopusauthoridWang, CL=7501646188en_HK

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