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Evaluating database update schemes: a methodology and its applications to distributive systems
by
Hughes, C.E.
, Kinsley, K.C.
in
Analytical models
/ Computer science
/ Concurrency control
/ Concurrent computing
/ Control
/ Costs
/ Customer services
/ Data analysis
/ Evaluation
/ History
/ Mathematical analysis
/ Methods
/ Multitasking
/ Probability
/ Queueing analysis
/ Queuing
/ Relational databases
/ Terminology
1988
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Evaluating database update schemes: a methodology and its applications to distributive systems
by
Hughes, C.E.
, Kinsley, K.C.
in
Analytical models
/ Computer science
/ Concurrency control
/ Concurrent computing
/ Control
/ Costs
/ Customer services
/ Data analysis
/ Evaluation
/ History
/ Mathematical analysis
/ Methods
/ Multitasking
/ Probability
/ Queueing analysis
/ Queuing
/ Relational databases
/ Terminology
1988
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Do you wish to request the book?
Evaluating database update schemes: a methodology and its applications to distributive systems
by
Hughes, C.E.
, Kinsley, K.C.
in
Analytical models
/ Computer science
/ Concurrency control
/ Concurrent computing
/ Control
/ Costs
/ Customer services
/ Data analysis
/ Evaluation
/ History
/ Mathematical analysis
/ Methods
/ Multitasking
/ Probability
/ Queueing analysis
/ Queuing
/ Relational databases
/ Terminology
1988
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Evaluating database update schemes: a methodology and its applications to distributive systems
Journal Article
Evaluating database update schemes: a methodology and its applications to distributive systems
1988
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Overview
A methodology is presented for evaluating the performance of database update schemes in a distributive environment. The methodology makes use of the history of how data are used in the database. Parameters such as update-to-retrieval ratio and average file size can be set based on the actual characterization of a system. The analysis is specifically directed toward the support of derived data within the relational model. Because concurrency is a major problem in a distributive system, the support of derived data is analyzed with respect to three distributive concurrency control techniques: master/slave, distributed, and synchronized.< >
Publisher
IEEE,IEEE Computer Society
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