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Data-aware connectivity in mobile replicated systems
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Source International Workshop on Data Engineering for Wireless and Mobile Access archive
Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access table of contents
Providence, Rhode Island
SESSION: Database issues for mobile computing table of contents
Pages 9-16  
Year of Publication: 2009
ISBN:978-1-60558-712-7
Authors
João Barreto  INESC-ID / Technical University of Lisbon
João Garcia  INESC-ID / Technical University of Lisbon
Luís Veiga  INESC-ID / Technical University of Lisbon
Paulo Ferreira  INESC-ID / Technical University of Lisbon
Sponsor
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Optimistic replication is a fundamental technique for supporting concurrent work practices in mobile environments. However, due to sudden and frequent transitions to weakly connected situations, user experience when accessing replicated data is poor and discourages users from using the replication service. While most research on optimistic replication assumes weak connectivity as a fixed imposition of the environment, weak connectivity often results from a user option of disconnecting available connections in order to reduce battery and/or monetary cost.

This paper argues that such a choice can be considerably optimized if driven by the system, rather than the user. For that, we propose to rely on the accurate knowledge the system can have about the replicas it stores, along with the information about the available connections and the corresponding costs. We introduce the notion of data-aware connectivity, where the system regulates which available connections to enable, with the intent of (i) ensuring acceptable quality of accessed replicated data, (ii) at minimal connectivity cost. We propose a system for data-aware connectivity, which integrates well with existing operating systems and replicated data infra-structures.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
João Barreto: colleagues
João Garcia: colleagues
Luís Veiga: colleagues
Paulo Ferreira: colleagues