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University of Illinois at Urbana-Champaign

Optimistic Partitioned Operation in Distributed Database Systems (Network Partitioning, Replicated Data, Consistency, Recovery, Fault-Tolerance)

Abstract

dc:description

Network partitioning is a serious threat to the availability of replicated data in distributed database systems. To provide high data availability during partitioning, an optimistic strategy for transaction processing will allow transactions to be processed in any partition. Conflict detection and resolution will then be performed when partitions are merged. Recently, an automatic conflict detection and resolution method based on serialization graphs has been proposed in the literature. It has been argued that the graph-theoretic method can be attractive for certain applications.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ma, Anthony Vu

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Identifier
(UMI)AAI8623361
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/69553

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ma, Anthony Vu. Optimistic Partitioned Operation in Distributed Database Systems (Network Partitioning, Replicated Data, Consistency, Recovery, Fault-Tolerance). Dissertation thesis, University of Illinois at Urbana-Champaign, 2014. http://hdl.handle.net/2142/69553