A highly fault-tolerant quorum consensus method for managing replicated data

Lecture Notes in Computer Science - Computing and Combinatorics ◽

10.1007/bfb0030831 ◽

1995 ◽

pp. 171-180 ◽

Cited By ~ 1

Author(s):

Xuemin Lin ◽

Maria E. Orlowska

Keyword(s):

Fault Tolerant ◽

Consensus Method ◽

Replicated Data ◽

Quorum Consensus

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Using extended hierarchical quorum consensus to control replicated data: from traditional voting to logical structures

Proceedings of the Twenty-Seventh Hawaii International Conference on System Sciences HICSS-94 ◽

10.1109/hicss.1994.323253 ◽

1994 ◽

Cited By ~ 1

Author(s):

das Chagas Mendonca ◽

de Oliveira Anido

Keyword(s):

Replicated Data ◽

Logical Structures ◽

Quorum Consensus

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An efficient, fault-tolerant protocol for replicated data management

Proceedings of the fourth ACM SIGACT-SIGMOD symposium on Principles of database systems - PODS '85 ◽

10.1145/325405.325443 ◽

1985 ◽

Cited By ~ 96

Author(s):

Amr El Abbadi ◽

Dale Skeen ◽

Flaviu Cristian

Keyword(s):

Data Management ◽

Fault Tolerant ◽

Replicated Data ◽

Replicated Data Management

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Performance characterization of quorum-consensus algorithms for replicated data

IEEE Transactions on Software Engineering ◽

10.1109/32.16608 ◽

1989 ◽

Vol 15 (4) ◽

pp. 492-496 ◽

Cited By ~ 71

Author(s):

M. Ahamad ◽

M.H. Ammar

Keyword(s):

Performance Characterization ◽

Consensus Algorithms ◽

Replicated Data ◽

Quorum Consensus

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A nonblocking quorum consensus protocol for replicated data

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/71.89063 ◽

1991 ◽

Vol 2 (2) ◽

pp. 171-179 ◽

Cited By ~ 9

Author(s):

D. Agrawal ◽

A.J. Bernstein

Keyword(s):

Consensus Protocol ◽

Replicated Data ◽

Quorum Consensus

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An efficient, fault-tolerant protocol for replicated data management

Fault-Tolerant Distributed Computing - Lecture Notes in Computer Science ◽

10.1007/bfb0042334 ◽

2006 ◽

pp. 171-191

Author(s):

Dale Skeen ◽

Amr El Abbadi ◽

Flaviu Cristian

Keyword(s):

Data Management ◽

Fault Tolerant ◽

Replicated Data ◽

Replicated Data Management

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Fault-Tolerant Quorum Consensus Scheme for Replication Control in Mobile Distributed Database Systems

Journal of Database Management ◽

10.4018/jdm.1998070102 ◽

1998 ◽

Vol 9 (3) ◽

pp. 16-24

Author(s):

Siwoo Byun ◽

Songchun Moon

Keyword(s):

Fault Tolerant ◽

Database Systems ◽

Distributed Database ◽

Distributed Database Systems ◽

Replication Control ◽

Quorum Consensus

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Hypercube quorum consensus for mutual exclusion and replicated data management

Computers & Mathematics with Applications ◽

10.1016/s0898-1221(98)00149-7 ◽

1998 ◽

Vol 36 (5) ◽

pp. 45-59 ◽

Cited By ~ 3

Author(s):

A.W. Fu ◽

W.K. Lau ◽

F.K. Ng ◽

M.H. Wong

Keyword(s):

Data Management ◽

Mutual Exclusion ◽

Replicated Data ◽

Replicated Data Management ◽

Quorum Consensus

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A fully distributed quorum consensus method with high fault-tolerance and low communication overhead

Theoretical Computer Science ◽

10.1016/s0304-3975(97)00046-7 ◽

1997 ◽

Vol 185 (2) ◽

pp. 259-275 ◽

Cited By ~ 1

Author(s):

Xuemin Lin

Keyword(s):

Fault Tolerance ◽

Consensus Method ◽

Communication Overhead ◽

Quorum Consensus

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A fault-tolerant algorithm for replicated data management

IEEE Transactions on Parallel and Distributed Systems ◽

10.1109/71.476168 ◽

1995 ◽

Vol 6 (12) ◽

pp. 1271-1282 ◽

Cited By ~ 24

Author(s):

S. Rangarajan ◽

S. Setia ◽

S.K. Tripathi

Keyword(s):

Data Management ◽

Fault Tolerant ◽

Replicated Data ◽

Replicated Data Management

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AN OPTIMAL STATIC PESSIMISTIC SCHEME FOR FAULT TOLERANT DISTRIBUTED DATABASE SYSTEMS

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s021853939400026x ◽

1994 ◽

Vol 01 (03) ◽

pp. 365-378

Author(s):

HOANG PHAM ◽

DAVID POTOSKI

Keyword(s):

Fault Tolerant ◽

Database Systems ◽

Distributed Database ◽

Optimal Number ◽

Data Consistency ◽

Total System ◽

Distributed Database Systems ◽

Replication Control ◽

Distributed Database System ◽

Quorum Consensus

A distributed database system often replicates data across its servers to provide a fault-resistant application, which maximizes server availability. Various replication control protocols have been developed to ensure data consistency. In this paper, we develop optimal design methods for the quorum-consensus replication protocol, which (1) maximizes availability of the distributed database systems and (2) minimizes the total system cost by calculating the optimal read quorum and the optimal number of system servers. Several numerical examples and applications are provided to illustrate the results.

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