By Arturo Crespo, Hector Garcia-Molina (auth.), Gianluca Moro, Sonia Bergamaschi, Karl Aberer (eds.)
Peer-to-peer (P2P) computing is attracting huge, immense media cognizance, spurred via the recognition of dossier sharing platforms reminiscent of Napster, Gnutella, and Morpheus. The friends are self reliant, or as a few name them, first class electorate. P2P networks are rising as a brand new allotted computing paradigm for his or her strength to harness the computing energy 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 options for a very long time, it's only lately that papers inspired via the present P2P paradigm have began showing in fine quality meetings and workshops. examine in agent structures specifically seems to be such a lot suitable simply because, considering the fact that their inception, multiagent structures have regularly been regarded as networks of colleagues. The multiagent paradigm can therefore be superimposed at the P2P structure, the place brokers include 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 development that provides P2P its merits additionally results in major strength difficulties. so much famous between those difficulties are coordination, the facility of an agent to make judgements by itself activities within the context of actions of different brokers, and scalability, the price of the P2P platforms lies in how good they scale alongside numerous dimensions, together with complexity, heterogeneity of associates, robustness, site visitors redistribution, and so on.
This quantity offers the totally revised papers offered on the 3rd overseas Workshop on brokers and Peer-to-Peer Computing, AP2PC 2004, held in ny urban on July 19, 2004 within the context of the 3rd foreign Joint convention on self sustaining brokers and Multi-Agent structures (AAMAS 2004). the quantity is equipped in topical sections on P2P networks and seek functionality, emergent groups and social behaviours, semantic integration, cellular P2P structures, adaptive platforms, agent-based source discovery, in addition to belief and reputation.
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Additional resources for Agents and Peer-to-Peer Computing: Third International Workshop, AP2PC 2004, New York, NY, USA, July 19, 2004, Revised and Invited Papers
A WatchQueue message, when received by the QueueService, will automatically f ix a queue and maintain the invariant that the queue and its name binding has K replicas. Push and pop operations are multicast to all of the K queue owners in order to attempt to preserve queue consistency. For a push operation, we chose not to use a synchronous two-phase commit protocol such as ABCAST , but rather we use a best-eﬀort send which attempts to send the message to all live queues. While this does not guarantee consistency, with a large enough value of K it does probabilistically guarantee that the message will not get dropped.
Fix queue name ensures that the queue name queue name is K-replicated and the queue state is K-replicated. For each queue, a Fix command is issued periodically by the system (every 2 minutes) in order to maintain the replication factor of each queue. x Range This returns the ID space that the gateway node is responsible for. This is used for debugging purposes and to map out the distribution of the ID space to each node. NameAlive queue name returns the set of nodes that are replicating the name binding for queue name.
The members joining a group are initially treated as buffers to replace any of the leaving members at higher levels of the tree. The group is stabilized only after the size of the group reaches a certain threshold value. Key: Every data item available in the network is mapped to a key value using a popular hash function. Each group, a set of peers, in the network is responsible for a range of keys, a finite space (bounds which are determined by its parent group). Fig 1 shows an example of a key distribution among a set of groups in the network.