By Samuel R. H. Joseph (auth.), Samuel R. H. Joseph, Zoran Despotovic, Gianluca Moro, Sonia Bergamaschi (eds.)

ISBN-10: 3540240535

ISBN-13: 9783540240532

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ISBN-10: 3540405380

ISBN-13: 9783540405382

ISBN-10: 3540490256

ISBN-13: 9783540490258

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ISBN-13: 9783540797043

ISBN-10: 3642113672

ISBN-13: 9783642113673

ISBN-10: 3642113680

ISBN-13: 9783642113680

This booklet constitutes the completely refereed post-workshop court cases of the sixth overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2007, held in Honululu, Hawaii, united states, in might 2007, within the context of the sixth foreign Joint convention on self reliant brokers and Multi-Agent structures, AAMAS 2007.

The eight revised complete papers offered including 1 precis paper have been conscientiously reviewed and chosen from 14 preliminary submissions; they're absolutely revised to include reviewers' reviews and discussions on the workshop. the quantity is equipped in topical sections on agent and peer belief, functionality and trying out, grid and allotted computing, in addition to position and seek services.

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Additional info for Agents and Peer-to-Peer Computing: 6th International Workshop, AP2PC 2007, Honululu, Hawaii, USA, May 14-18, 2007, Revised and Selected Papers

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The simulator and its result can be used to help test and design a P2P system. However, because the DHT just tells how peers and files should be organized in a P2P network, there are still much information required to make a decision during the run-time of an agent. For example, the peer selection strategy such as “selecting the most cooperating peer or the peer with the largest upload capacity” [4] should incorporate the run-time information along with the information about the organization of peers and files.

To analyze interactions and their situation-dependent variations, J. Gu [9] proposed a structured approach as depicted in Fig. 2. The scheme works as follows. When there are n surrounding nodes, V = {v1 , v2 , . . , vn }, firstly, the computing progress index (CPI) is used to convert peer operations into a mathematical representation, denoted as Φi for node vi ∈ V . The CPI is a conceptual method to represent various interaction effectively, which can be applied to Min/Max-Plus algebra for further manipulation.

SDM 2004. LNCS, vol. 3178, pp. 118–132. Springer, Heidelberg (2004) 11. : RT: A role-based trust-management framework. In: Proceedings of 3rd DARPA Information Survivability Conference and Exposition (DISCEX), Washington (2003) 12. : Cassandra: Distributed access control policies with tunable expressiveness. In: Proceedings of 5th International IEEE Workshop on Policies for Distributed Systems and Networks, POLICY (2004) 13. : Engineering self-organizing referral networks for trustworthy service selection.

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Agents and Peer-to-Peer Computing: 6th International Workshop, AP2PC 2007, Honululu, Hawaii, USA, May 14-18, 2007, Revised and Selected Papers by Samuel R. H. Joseph (auth.), Samuel R. H. Joseph, Zoran Despotovic, Gianluca Moro, Sonia Bergamaschi (eds.)


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