Download Agents and Peer-to-Peer Computing: 5th International by Ben Tse, Raman Paranjape, Samuel R. H. Joseph (auth.), Sam PDF

By Ben Tse, Raman Paranjape, Samuel R. H. Joseph (auth.), Sam Joseph, Zoran Despotovic, Gianluca Moro, Sonia Bergamaschi (eds.)

This e-book constitutes the completely refereed post-workshop complaints of the fifth overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2006, held in Hakodate, Japan, in may well 2006, within the context of the fifth overseas Joint convention on self sufficient brokers and Multi-Agent structures, AAMAS 2006.

The 10 revised complete papers and six revised brief papers offered including 1 invited paper have been conscientiously reviewed and chosen from 23 submissions; they're absolutely revised to include reviewers' reviews and discussions on the workshop. the quantity is equipped in topical sections on P2P Infrastructure, brokers in P2P, P2P seek, and applications.

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Additional resources for Agents and Peer-to-Peer Computing: 5th International Workshop, AP2PC 2006, Hakodate, Japan, May 9, 2006, Revised and Invited Papers

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Section 6 shows the simulation results. Finally, we summarize this paper and discuss concluding remarks in Section 7. S. Joseph et al. ): AP2PC 2006, LNAI 4461, pp. 43–50, 2008. -S. Roh et al. 2 Related Works In this section, we briefly discuss the previous works which deal with incorrect lookup routing in structured P2P systems. Sit and Morris [4] proposed the iterative routing using a query observation to defend against incorrect lookup routing. At each hop, the querier checks if the lookup gets closer to the key identifier.

In: SIG-COMM 2001 (2001) 5. : Koorde: A Simple Degree-Optimal Distributed Hash Table. In: SODA 2004 (2004) 6. : Viceroy: A Scalable and Dynamic Emulation of the Butterfly. In: PODC 2002 (2002) 7. edu/nsnam/ns 8. : BRITE: Universal Topology Generation from a User’s Perspective, Technical Report BU-CS-TR-2001-003 (2001) Appendix: Theoretical Evaluation of Maintenance Traffic Assume an overlay network with N nodes and a total number of R references to shared objects. In this case, each node is responsible for storing r = R/N references in average.

However, as the number of peers increases, the central nodes get congested and the performance degrades quickly. Mean search time (seconds) 10000 1000 100 10 Threshold 0 (always random−like) Threshold 100 1 Threshold 10000000 (always star−like) 30 100 300 1000 3000 Number of nodes Fig. 3. Results of DANTE scalability simulations 5 6 We could not run those experiments in a real network since this requires having an infrastructure formed with thousands on peers. All completed searches were successful.

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