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Efficient and decentralized computation of approximate global state
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Volume 36 ,  Issue 1  (January 2006) table of contents
COLUMN: Editorial zone table of contents
Pages: 69 - 74  
Year of Publication: 2006
ISSN:0146-4833
Author
S. Keshav  University of Waterloo, Waterloo, ON, Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

The need for efficient computation of approximate global state lies at the heart of a wide range of problems in distributed systems. Examples include routing in the Internet, sensor fusion, search in peer-to-peer networks, coordinated intrusion detection, and Top-K queries in stream-oriented databases. Efficient algorithms that determine approximate global state could enable near-optimal local decision-making with little overhead. In this position paper, we model this problem and summarize recent work on randomized algorithms that navigate a four-way tradeo between accuracy, robustness, performance and overhead. Despite these recent successes, many open problems remain. We believe that solving these problems can radically improve the design of robust, efficient and self-managed distributed systems


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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V. Yegneswaran, P. Barford, and S. Jha, "Global Intrusion Detection in the DOMINO Overlay System," In Proceedings of NDSS, San Diego, CA, 2004.
 
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M. Zaharia and S. Keshav, "Adaptive Peer-to-Peer Search," University of Waterloo Technical Report 2004-55, Nov. 2004.