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Autonomous Transaction Processing Using Data Dependency in Mobile Environments
San Juan, Puerto Rico May 28-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FTDCS.2003.1204325The Ninth IEEE Workshop on Future Tre ...
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Il Young Chung, Purdue University
Bharat Bhargava, Purdue University
Malika Mahoui, University of Pennsylvania
Leszek Lilien, Purdue University
Transaction processing in mobile database systems faces new challenges to accommodate the limitations of mobile environments, such as frequent disconnections and low bandwidth. We propose a transaction processing protocol that increases the autonomy of clients, based on the dependency relation among updated data items. Lists of dependents, sent by the server to the mobile clients along with requested data items, are used by each client to build partial serialization graphs. Utilizing the graphs, mobile clients can autonomously verify serializability of locally executed read-only transactions. This information can also help mobile clients in early detection of the necessity to abort update transactions. Simulations for various data access patterns initiated by mobile clients provide insights on performance of the proposed protocol. Performance is heavily dependent on the depth of the dependency information for each data item.
Citation:
Il Young Chung, Bharat Bhargava, Malika Mahoui, Leszek Lilien, "Autonomous Transaction Processing Using Data Dependency in Mobile Environments," ftdcs, pp.138, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems (FTDCS'03), 2003
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