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Distributed object location in a dynamic network
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Source ACM Symposium on Parallel Algorithms and Architectures archive
Proceedings of the fourteenth annual ACM symposium on Parallel algorithms and architectures table of contents
Winnipeg, Manitoba, Canada
SESSION: Session 2 table of contents
Pages: 41 - 52  
Year of Publication: 2002
ISBN:1-58113-529-7
Authors
Kirsten Hildrum  University of California at Berkeley
John D. Kubiatowicz  University of California at Berkeley
Satish Rao  University of California at Berkeley
Ben Y. Zhao  University of California at Berkeley
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 2,   Downloads (12 Months): 54,   Citation Count: 57
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ABSTRACT

Modern networking applications replicate data and services widely, leading to a need for location-independent routing -- the ability to route queries directly to objects using names independent of the objects' physical locations. Two important properties of a routing infrastructure are routing locality and rapid adaptation to arriving and departing nodes. We show how these two properties can be efficiently achieved for certain network topologies. To do this, we present a new distributed algorithm that can solve the nearest-neighbor problem for these networks. We describe our solution in the context of Tapestry, an overlay network infrastructure that employs techniques proposed by Plaxton, Rajaraman, and Richa [14].


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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Bourgain, J. On Lipschitz embedding of finite metric spaces in Hilbert space. Israel J. Math 52 (1985), 46--52.
 
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Zhao, B. Y., Joseph, A., and Kubiatowicz, J. Locality-aware mechanisms for large-scale networks. In Proc. of Workshop on Future Directions in Distributed Comp. (June 2002).
 
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CITED BY  57

Collaborative Colleagues:
Kirsten Hildrum: colleagues
John D. Kubiatowicz: colleagues
Satish Rao: colleagues
Ben Y. Zhao: colleagues