Download Agents and Peer-to-Peer Computing: 6th International by Samuel R. H. Joseph (auth.), Samuel R. H. Joseph, Zoran PDF

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

This e-book constitutes the completely refereed post-workshop complaints of the sixth foreign Workshop on brokers and Peer-to-Peer Computing, AP2PC 2007, held in Honululu, Hawaii, united states, in may perhaps 2007, within the context of the sixth foreign Joint convention on independent brokers and Multi-Agent structures, AAMAS 2007.

The eight revised complete papers awarded 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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Extra 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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AI Magazine 19(2), 79–92 (1998) 3 The Astrolabe is a distributed monitoring and management system. Among may other valuable features, the Astrolabe has implemented a distributed aggregation protocol, which can be utilized to collect run-time information from many peers. 40 J. Gu et al. 3. : Peer-to-peer simulators. Technical report, AMG (2007) 4. : Design choices for content distribution in p2p networks. SIGCOMM Comput. Commun. Rev. 35(5), 31–39 (2005) 5. : Queueing Systems: Theory, vol. I. Wiley, New York (1975) 6.

4 Related Work Policies are widely used for access control and trust management in distributed systems. InterPol differs from traditional policy approaches, because it focuses on a multiagent service network, and provides a set of primitives that are designed for expressing natural policies in it. These policies can be thought of as supporting subtle kinds of access control where each agent determines how much of its domain or social knowledge to share, when, and with whom. Reputation-based access control.

The selecting function that selects a specific task sequence from the Γ space is called a decision engine. We assume that every peer has a decision engine that can evaluate the current situation. The most simple decision, generally accepted for implementation, is the binary decision: {0, 1} or {on, off}. A brief discussion of several decision algorithms can be found in [8]. The simplified model in Fig. 3 shows a node interacting with peer(s). That is, the node continues to accept input from the peer node (b), perform decisions and local tasks (a), and return the result to the peer (c) until there is no further input.

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