Download Agents and Peer-to-Peer Computing: Third International by Arturo Crespo, Hector Garcia-Molina (auth.), Gianluca Moro, PDF

By Arturo Crespo, Hector Garcia-Molina (auth.), Gianluca Moro, Sonia Bergamaschi, Karl Aberer (eds.)

ISBN-10: 3540297553

ISBN-13: 9783540297550

Peer-to-peer (P2P) computing is attracting huge, immense media recognition, spurred by way of the recognition of dossier sharing structures resembling Napster, Gnutella, and Morpheus. The friends are self sufficient, or as a few name them, top quality voters. P2P networks are rising as a brand new allotted computing paradigm for his or her strength to harness the computing strength of the hosts composing the community and make their under-utilized assets to be had to others. even supposing researchers engaged on allotted computing, multiagent platforms, databases and networks were utilizing comparable techniques for a very long time, it's only lately that papers stimulated by way of the present P2P paradigm have began showing in high quality meetings and workshops. examine in agent structures particularly seems to be such a lot appropriate simply because, when you consider that their inception, multiagent platforms have constantly been regarded as networks of work-mates. The multiagent paradigm can hence be superimposed at the P2P structure, the place brokers embrace the outline of the duty environments, the decision-support services, the collective habit, and the interplay protocols of every peer. The emphasis during this context on decentralization, person autonomy, ease and velocity of progress that offers P2P its benefits additionally ends up in major strength difficulties. so much well-liked between those difficulties are coordination, the power of an agent to make judgements by itself activities within the context of actions of different brokers, and scalability, the price of the P2P structures lies in how good they scale alongside numerous dimensions, together with complexity, heterogeneity of fellow workers, robustness, site visitors redistribution, and so on.

This quantity provides the totally revised papers offered on the 3rd overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2004, held in long island urban on July 19, 2004 within the context of the 3rd overseas Joint convention on independent brokers and Multi-Agent platforms (AAMAS 2004). the quantity is geared up in topical sections on P2P networks and seek functionality, emergent groups and social behaviours, semantic integration, cellular P2P structures, adaptive structures, agent-based source discovery, in addition to belief and reputation.

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Extra resources for Agents and Peer-to-Peer Computing: Third International Workshop, AP2PC 2004, New York, NY, USA, July 19, 2004, Revised and Invited Papers

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A Local Search Mechanism for Peer-to-Peer Networks. Proc. ACM CIKM’02, pp. 300307, November 2002. 13. Kleinberg, Jon. Navigation in a Small World. Nature, 406:845, August 2000. 14. Koubarakis, Manolis. Multi-Agent Systems and Peer-to-Peer Computing: Methods, Systems and Challenges. Proc. CIA 2003, Springer LNCS 2782, pp. 46-61, 2003. 15. Lv, Qin et al. Search and Replication in Unstructured Peer-to-Peer Networks. Proc. ACM ICS’02, pp. 84-95, 2002. 16. , R. Burkhart, C. Langton, and M. Askenazi.

DiST requires little information for join and leave operations and also for data lookup requests. In an N-sized network if the size of the group is M then DiST is seen to resolve lookups in O(logN ) and join requests require O(logN ) for communication. Each peer stores information aboutM other peers in the network. 2 Design Details In this section we describe the join and leave operations which consequently build and shrink the tree respectively. We also describe our hashing, group management and key distribution mechanisms in more detail.

The number of “messages” sent between peers in the network during the search process). There are two broad classes of search techniques for unstructured P2P graphs: uninformed (blind) and informed (heuristic) [25]. Uninformed algorithms utilize only local connectivity knowledge of the graph during search. Sometimes this is the best we can do; without the ability to maintain some local state, search can do little more than follow some systematic blind routine. If we can maintain some local state, then search can proceed in a more intelligent manner.

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