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Tight bounds for delay-sensitive aggregation
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Annual ACM Symposium on Principles of Distributed Computing archive
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing table of contents
Toronto, Canada
SESSION: R5 table of contents
Pages 195-202  
Year of Publication: 2008
ISBN:978-1-59593-989-0
Authors
Yvonne Anne Oswald  ETH Zurich, Zurich, Switzerland
Stefan Schmid  TU München, München, Germany
Roger Wattenhofer  ETH Zurich, Zurich, Switzerland
Sponsors
SIGOPS: ACM Special Interest Group on Operating Systems
ACM: Association for Computing Machinery
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper studies the fundamental trade-off between communication cost and delay cost arising in various contexts such as control message aggregation or organization theory. An optimization problem is considered where nodes are organized in a tree topology. The nodes seek to minimize the time until the root is informed about their states and to use as few transmissions as possible at the same time. We derive an upper bound on the competitive ratio of O(min(h,c)) where h is the tree's height, and c is the transmission cost per edge. Moreover, we prove that this upper bound is tight in the sense that any oblivious algorithm has a ratio of at least Omega(min(h,c)).

For chain networks, we prove a tight competitive ratio of Theta(min(sqrt{h},c)). Furthermore, the paper introduces a new model for online event aggregation where the importance of an event depends on its difference to previous events.


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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P. Korteweg, A. Marchetti-Spaccamela, L. Stougie, and A. Vitaletti. Data Aggregatcion in Sensor Networks: Balancing Communication and Delay Costs. In Proc. Colloquium on Structure, Information, Communication, and Complexity (SIROCCO), 2007.
 
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C. H. Papadimitriou and E. Servan-Schreiber. The Origins of the Deadline: Optimizing Communication in Organizations. In Manuscript, 1999.
 
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I. Solis and K. Obraczka. The Impact of Timing in Data Aggregation for Sensor Networks. In Proc. IEEE Int. Conference on Communications (ICC), 2004.
 
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O. Younis and S. Fahmy. An Experimental Study of Routing and Data Aggregation in Sensor Networks. In Proc. IEEE Int. Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2005.
 
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Y. Yu, B. Krishnamachari, and V. K. Prasanna. Energy-Latency Tradeoffs for Data Gathering in Wireless Sensor Networks. In Proc. Joint Conference of the IEEE Computer and Communication Societies (INFOCOM), 2004.

Collaborative Colleagues:
Yvonne Anne Oswald: colleagues
Stefan Schmid: colleagues
Roger Wattenhofer: colleagues