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Published Articles >> Table of Contents >> Abstract
19th IEEE International Conference on Distributed Computing Systems (ICDCS'99)
p. 0414
Incorporating Transaction Semantics to Reduce Reprocessing Overhead in Replicated Mobile Data Applications
Peng Liu, George Mason University
Paul Ammann, George Mason University
Sushil Jajodia, George Mason University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDCS.1999.776543
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| Abstract |
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Update anywhere-anytime-anyway transactional replication has unstable behavior as the workload scales up. To reduce this problem, a two-tier replication algorithm is proposed in [GHOS96] that allows mobile applications to propose tentative transactions that are later applied to a master copy. However, it can suffer from heavy reprocessing overhead in many circumstances.In this paper, we present the method of merging histories instead of reprocessing to reduce the overhead of two-tier replication. The basic idea is when a mobile node connects to the base nodes merging the tentative history into the base history so that substantial work of tentative transactions could be saved.As a result, a set of undesirable transactions (denoted `B' ) have to be backed out to resolve the conflicts between the two histories. Desirable transactions that are affected, directly or indirectly, by the transactions in `B' complicate the process of backing out `B'. We present a family of novel rewriting algorithms for the purpose of backing out `B'.By incorporating transaction semantics, our rewriting methods are strictly better at saving desirable tentative transactions than the traditional reads-from transitive-closure based approach. And in most cases our rewriting methods are better at saving desirable tentative transactions than an approach which is based only on commutativity.
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 Additional Information
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Index Terms- Mobile Databases, Data Replication, Transaction Processing.
Citation:
Peng Liu, Paul Ammann, Sushil Jajodia,
"Incorporating Transaction Semantics to Reduce Reprocessing Overhead in Replicated Mobile Data Applications,"
icdcs,
p. 0414,
19th IEEE International Conference on Distributed Computing Systems (ICDCS'99),
1999
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