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Conference Paper: OPTIMAL GRANULARITY AND DEGREE OF MULTIPROGRAMMING IN A DISTRIBUTED DATABASE SYSTEM.

TitleOPTIMAL GRANULARITY AND DEGREE OF MULTIPROGRAMMING IN A DISTRIBUTED DATABASE SYSTEM.
Authors
Issue Date1986
Citation
International Conference on Data Engineering, Los Angeles, CA., 1986. How to Cite?
AbstractThe optimal choices of granularity (size of a physical lock) and the degree of multiprogramming (maximum number of transactions allowed to run concurrently) for a single-site database system (SDBS) using a locking mechanism for concurrency control have been investigated by many researchers. However, the case for a distributed database system (DDBS) has not been examined. Using a simulation model, the problem for a DDBS in various application and system environments is studied. The authors consider: the preclaim and the claim-as-needed locking policies; three different granule placements; two different transaction sizes; and two different communication delays. Conclusions concerning the optimal choices of granularity and the degree of multiprogramming in different environments are drawn to provide guidelines in achieving good performance in a DDBS.
Persistent Identifierhttp://hdl.handle.net/10722/151784

 

DC FieldValueLanguage
dc.contributor.authorPun, KHen_US
dc.contributor.authorBelford, GGen_US
dc.date.accessioned2012-06-26T06:29:30Z-
dc.date.available2012-06-26T06:29:30Z-
dc.date.issued1986en_US
dc.identifier.citationInternational Conference on Data Engineering, Los Angeles, CA., 1986.-
dc.identifier.urihttp://hdl.handle.net/10722/151784-
dc.description.abstractThe optimal choices of granularity (size of a physical lock) and the degree of multiprogramming (maximum number of transactions allowed to run concurrently) for a single-site database system (SDBS) using a locking mechanism for concurrency control have been investigated by many researchers. However, the case for a distributed database system (DDBS) has not been examined. Using a simulation model, the problem for a DDBS in various application and system environments is studied. The authors consider: the preclaim and the claim-as-needed locking policies; three different granule placements; two different transaction sizes; and two different communication delays. Conclusions concerning the optimal choices of granularity and the degree of multiprogramming in different environments are drawn to provide guidelines in achieving good performance in a DDBS.en_US
dc.languageengen_US
dc.relation.ispartofInternational Conference on Data Engineering-
dc.titleOPTIMAL GRANULARITY AND DEGREE OF MULTIPROGRAMMING IN A DISTRIBUTED DATABASE SYSTEM.en_US
dc.typeConference_Paperen_US
dc.identifier.emailPun, KH:pun@cs.hku.hken_US
dc.identifier.authorityPun, KH=rp00164en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0022593654en_US
dc.identifier.scopusauthoridPun, KH=8979404900en_US
dc.identifier.scopusauthoridBelford, GG=7004236690en_US

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