By Beng Chin Ooi, Wee Siong Ng, Kian-Lee Tan, AoYing Zhou (auth.), Gianluca Moro, Claudio Sartori, Munindar P. Singh (eds.)
Peer-to-peer (P2P) computing is presently attracting huge, immense public awareness, spurred by way of the recognition of file-sharing structures equivalent to Napster, Gnutella, Morpheus, Kaza, and a number of other others. In P2P platforms, a really huge variety of self reliant computing nodes, the friends, depend on one another for prone. P2P networks are rising as a brand new disbursed computing paradigm due to their capability to harness the computing energy and the garage means of the hosts composing the community, and since they detect a very open decentralized atmosphere the place every body can take part autonomously. even if researchers engaged on allotted computing, multiagent platforms, databases, and networks were utilizing related ideas for a very long time, it's only lately that papers inspired through the present P2P paradigm have begun showing in prime quality meetings and workshops. specifically, examine on agent structures seems to be so much appropriate simply because multiagent structures have continually been considered networks of self sustaining friends considering that their inception. brokers, which are superimposed at the P2P structure, include the outline of job environments, decision-support features, social behaviors, belief and acceptance, and interplay protocols between friends. The emphasis on decentralization, autonomy, ease, and velocity of progress that provides P2P its benefits additionally results in major capability difficulties. such a lot sought after between those are coordination – the power of an agent to make judgements by itself activities within the context of actions of different brokers, and scalability – the worth of the P2P structures in how good they self-organize as a way to scale alongside numerous dimensions, together with complexity, heterogeneity of affiliates, robustness, site visitors redistribution, etc.
This publication brings jointly an advent, 3 invited articles, and revised models of the papers offered on the moment overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2003, held in Melbourne, Australia, July 2003.
Read Online or Download Agents and Peer-to-Peer Computing: Second International Workshop, AP2PC 2003, Melbourne, Australia, July 14, 2003, Revised and Invited Papers PDF
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Additional info for Agents and Peer-to-Peer Computing: Second International Workshop, AP2PC 2003, Melbourne, Australia, July 14, 2003, Revised and Invited Papers
Balakrishnan, H. Chord: A scalable peer-to-peer lookup service for internet applications. In Proceedings of ACM SIGCOMM’01. (2001) 149–160 22 O. Shehory 12. , Druschel, P. Pastry: Scalable, distributed object location and routing for large-scale peer-to-peer systems. In Proceedings of IFIP/ACM International Conference on Distributed Systems Platforms. (2001) 329–350 13. , Sycara, K. 8: Brokering and Matchmaking for Coordination of Agent Societies: A Survey. In Coordination of Internet Agents.
In: Cooperative Information Agents II. Learning, Mobility and Electronic Commerce for Information Discovery on the Internet. LNAI. Springer-Verlag, Berlin (1998) 4. edu. 5. org. 6. org/2001/sw/meetings/tech-200303/social-meaning/. 7. : Communication Systems: A Unified Model of Socially Intelligent Systems. : Socionics: Its Contributions to the Scalability of Complex Social Systems. Volume XXXX of LNCS. Springer-Verlag, Berlin (to appear 2003) 8. : Expectation-Oriented Analysis and Design. In: Proceedings of the 2nd Workshop on Agent-Oriented Software Engineering (AOSE-2001) at the Autonomous Agents 2001 Conference.
It has three items,”Fast”, ”Medium” and ”Slow”, each of which covers a range of download speed. Node FQ denotes the set of ﬁle qualities. It also has three items, ”High”, ”Medium” and ”Low”. Its CPT is similar to the one in Table 1. Here we only take three aspects of trust into account. More relevant aspects can be added in the Bayesian network later to account for user preferences with respect to service. Once getting nodes’ CPTs in a Bayesian network, an agent can compute the probabilities that the corresponding ﬁle provider is trustworthy in diﬀerent aspects by using Bayes rules, such as p(T = 1|F T = ”M usic”) - the probability that the ﬁle provider is trustworthy in providing music ﬁles, p(T = 1|F Q = ”High”) - the probability that the ﬁle provider is trustworthy in providing ﬁles with high quality, p(T = 1|F T = ”M usic”, F Q = ”High”) - the probability that the ﬁle provider is trustworthy in providing music ﬁles with high quality.