Expertise-Based Peer Selection
نویسندگان
چکیده
6.1 Introduction Peer-to-Peer systems are distributed systems without centralized control or hierarchical organization, in which each node runs software with equivalent functionality. A review of the features of recent Peer-to-Peer applications yields a long list: redundant storage, permanence, selection of nearby servers, anonymity, search, authentication, and hierarchical naming. Despite this rich set of features, scalability is a significant challenge: Peer-to-Peer networks that broadcast the queries to all peers do not scale-intelligent query routing and network topologies are required to be able to route queries to a relevant subset of peers. In this chapter we give an overview and an evaluation of the model of expertise based peer selection as proposed in [4] and how it is used in the Bibster system 18. In this model, peers use a shared ontology to advertise semantic descriptions of their expertise in the Peer-to-Peer network. The knowledge about the expertise of other peers forms a semantic overlay network, independent of the underlying network topology. If the peer receives a query, it can decide to forward it to peers about which it knows that their expertise is similar to the subject of the query. The advantage of this approach is that queries will not be forwarded to all or a random set of known peers, but only to the ones that have a good chance of answering it. The organization of the sections in this chapter is as follows: In the next section, we give a small overview of related work in the domain of Semantic Overlay Networks. In section 3 we provide our generic model on expertise-based peer selection. In section 4, we instantiate the generic model with the Bibster case-study. In section 5, we show simulation experiments and their results on the selection method. Section 6 shows the results of an evaluation study on the Bibster application which was installed on different machines of interested people. Section 7 shows a comparison between the simulation results and the results obtained from the field study. Section 8 concludes our work.
منابع مشابه
Peer Selection in Peer-to-Peer Networks with Semantic Topologies
Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destination peer in the first place is not always trivial. We propose a model in which peers advertise their expertise in the Peer-to-Peer network. The knowledge about the expertise of other peers forms a semantic topology. B...
متن کاملChanges 0 . 1 18 . 5 . 04 meh initial setup 1 . 0 15 . 7 . 04 meh completion
ion Matching Figure 3.1: Expertise Based Matching In this section we first introduce a model to semantically describe the expertise of peers and how peers promote their expertise as advertisement messages in the network. Second, we describe how the received advertisements allows a peer to select other peers for a given query based on a semantic matching of query subjects against expertise descr...
متن کاملKnowledge and Information Systems REGULAR PAPER
Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining the destination peer in the first place is not always trivial. We propose a model in which peers advertise their expertise in the Peer-to-Peer network. The knowledge about the expertise of other peers forms a semantic topology. B...
متن کاملAn Approach for Service Discovery Based on Semantic Peer-to-Peer
The service discovery is a key step during Peer-to-Peer (P2P) converging with Web Service. In this paper, a semantic-P2P based approach is presented for web service discovery. To enable the semantic web service superiority, service profile is used to describe web service and as the service data source. The service-expertise based model is proposed for service’s node selection. Meanwhile, simila...
متن کاملµRoute: Expertise-Based Selection using Shared Term Similarity Matrices
Finding the right content or experts in a Peer-to-Peer system or Multi-Agent system is a challenging problem especially when it has to be scalable to large networks. The focus of this paper is on distributed search based on using semantic knowledge about the peers in the network. In this paper we present the pRoute system where each peer advertises a short description of its content that its sh...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006