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 at the moment attracting huge, immense public cognizance, spurred by way of the recognition of file-sharing structures corresponding to Napster, Gnutella, Morpheus, Kaza, and several other others. In P2P structures, a truly huge variety of self sustaining computing nodes, the friends, depend on one another for companies. P2P networks are rising as a brand new allotted computing paradigm as a result of their strength to harness the computing energy and the garage potential of the hosts composing the community, and since they detect a very open decentralized atmosphere the place all people can take part autonomously. even though researchers engaged on disbursed computing, multiagent structures, databases, and networks were utilizing comparable thoughts for a very long time, it is just lately that papers influenced by means of the present P2P paradigm have all started showing in prime quality meetings and workshops. particularly, learn on agent platforms seems to be such a lot proper simply because multiagent platforms have regularly been considered networks of self sufficient friends on the grounds that their inception. brokers, that are superimposed at the P2P structure, include the outline of job environments, decision-support functions, social behaviors, belief and popularity, and interplay protocols between friends. The emphasis on decentralization, autonomy, ease, and velocity of development that offers P2P its merits additionally results in major power difficulties. such a lot sought after between those are coordination – the facility 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 in an effort to scale alongside numerous dimensions, together with complexity, heterogeneity of affiliates, robustness, site visitors redistribution, etc.
This publication brings jointly an creation, 3 invited articles, and revised models of the papers provided on the moment foreign Workshop on brokers and Peer-to-Peer Computing, AP2PC 2003, held in Melbourne, Australia, July 2003.
Read 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
We evaluated our approach in a simulation of a ﬁle sharing system in a peer-topeer network. Our experiments show that the system where agents communicate their experiences (recommendations) outperforms the system where agents do not communicate with each other, and that a diﬀerentiated trust adds to the performance. Future work includes adding more aspects in the Bayesian networks, trying to ﬁnd the key parameters that inﬂuence the system performance, and testing the system under other performance measures, for example, how fast an agent can locate a trustworthy service provider.
Org/RDF/. 10. org/PICS/. 11. org/. com Abstract. We propose Personal Data Backbone (PDB) to provide Passport-like services over an agent-based peer-to-peer network. The main objective is to bring the control of personal data back to their owner. By applying technologies in agents and in peer-to-peer networks, PDB enables flexible and secure personal data acquisition in a spontaneous network formed by participating users. 1 Introduction Many information services and applications need personal data for authentication and other application-specific purposes when users sign on their systems.
Sometimes we only need to know the trust in some speciﬁc aspect. This bears parallel with work on distributed user modeling and purpose-based user modeling , . Yu and Singh ,  focus on how to use social networks to gather information to compute agents’ reputation. They do not deal with diﬀerentiated trust and reputation. Cornelli’s work  is on the area of ﬁle sharing in peerto-peer networks. However, it concentrates on how to prevent the attacks to the reputation system and does not discuss how agents model and compute trust and reputation.