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Sharing large data collections between mobile peers

Published: 14 December 2009 Publication History

Abstract

New directions in the provision of end-user computing experiences mean that we need to determine the best way to share data between small mobile computing devices. Partitioning large structures so that they can be shared efficiently provides a basis for data-intensive applications on such platforms. In conjunction with such an approach, dictionary-based compression techniques provide additional benefits and help to prolong battery life.

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  • (2013)Data Value Storage for Compressed Semi-structured DataDatabase and Expert Systems Applications10.1007/978-3-642-40173-2_16(174-188)Online publication date: 2013

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MoMM '09: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
December 2009
663 pages
ISBN:9781605586595
DOI:10.1145/1821748
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Johannes Kepler University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2009

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  1. data sharing
  2. peer-to-peer

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  • (2013)Data Value Storage for Compressed Semi-structured DataDatabase and Expert Systems Applications10.1007/978-3-642-40173-2_16(174-188)Online publication date: 2013

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