Concurrency Control and Consistency of Multiple Copies of Data in Distributed Ingres

This paper contains algorithms for ensuring the consistency of a distributed relational data base subject to multiple, concurrent updates. Also included are mechanisms to correctly update multiple copies of objects and to continue operation when less than all machines in the network are operational....

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Published inIEEE transactions on software engineering Vol. SE-5; no. 3; pp. 188 - 194
Main Author Stonebraker, M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.1979
IEEE Computer Society
Subjects
Online AccessGet full text
ISSN0098-5589
1939-3520
DOI10.1109/TSE.1979.234180

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Abstract This paper contains algorithms for ensuring the consistency of a distributed relational data base subject to multiple, concurrent updates. Also included are mechanisms to correctly update multiple copies of objects and to continue operation when less than all machines in the network are operational. Together with [4] and [12], this paper constitutes the significant portions of the design for a distributed data base version of INGRES.
AbstractList A collection of algorithms to handle concurrency control, crash recovery and the update of multiple copies of relations in a distributed data base system are at the heart of the design for a distributed version of the relational data base system, INGRES. The algorithms are based on the idea that each object or each subset of rows in a relation possesses a known primary site to which all updates in the network for that object are first directed. Locality, reliabilty, closeness, and the types of networks are assumed. Extremely low lock overhead can be achieved by handling locking in a distributed fashion and allocating deadlock detection and resolution to one machine called the SNOOP. Very simple algorithms can handle the two tasks of crash recovery-the failure of a single node in the network and the failure that partitions the network. Mechanisms are included to correctly update multiple copies of objects and to continue operation when less than all machines in the network are operational.
This paper contains algorithms for ensuring the consistency of a distributed relational data base subject to multiple, concurrent updates. Also included are mechanisms to correctly update multiple copies of objects and to continue operation when less than all machines in the network are operational. Together with [4] and [12], this paper constitutes the significant portions of the design for a distributed data base version of INGRES.
Author Stonebraker, M.
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Cites_doi 10.1145/360248.360253
10.1145/509252.509256
10.1145/509252.509292
10.1145/1476936.1477020
10.1109/TSE.1979.234180
10.1145/320455.320457
10.1145/320473.320476
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Snippet This paper contains algorithms for ensuring the consistency of a distributed relational data base subject to multiple, concurrent updates. Also included are...
A collection of algorithms to handle concurrency control, crash recovery and the update of multiple copies of relations in a distributed data base system are...
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SubjectTerms Algorithms
Approximation
Centralized control
Computer crashes
Computer network reliability
Concurrency control
Control
crash recovery
Crashes
Distributed control
distributed data bases
Distributed processing
Environmental management
Heart
multiple copies
Partitioning algorithms
Proposals
Recovery
Relational data bases
Software
synchronization
System recovery
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Title Concurrency Control and Consistency of Multiple Copies of Data in Distributed Ingres
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