Reference Hub1
A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks

Athena Eftychiou, Bogdan Vrusias, Nick Antonopoulos
Copyright: © 2010 |Volume: 2 |Issue: 4 |Pages: 19
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781613502549|DOI: 10.4018/jghpc.2010100102
Cite Article Cite Article

MLA

Eftychiou, Athena, et al. "A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks." IJGHPC vol.2, no.4 2010: pp.12-30. http://doi.org/10.4018/jghpc.2010100102

APA

Eftychiou, A., Vrusias, B., & Antonopoulos, N. (2010). A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks. International Journal of Grid and High Performance Computing (IJGHPC), 2(4), 12-30. http://doi.org/10.4018/jghpc.2010100102

Chicago

Eftychiou, Athena, Bogdan Vrusias, and Nick Antonopoulos. "A Semantic-Driven Adaptive Architecture for Large Scale P2P Networks," International Journal of Grid and High Performance Computing (IJGHPC) 2, no.4: 12-30. http://doi.org/10.4018/jghpc.2010100102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The increasing amount of online information demands effective, scalable, and accurate mechanisms to manage and search this information. Distributed semantic-enabled architectures, which enforce semantic web technologies for resource discovery, could satisfy these requirements. In this paper, a semantic-driven adaptive architecture is presented, which improves existing resource discovery processes. The P2P network is organised in a two-layered super-peer architecture. The network formation of super-peers is a conceptual representation of the network’s knowledge, shaped from the information provided by the nodes using collective intelligence methods. The authors focus on the creation of a dynamic hierarchical semantic-driven P2P topology using the network’s collective intelligence. The unmanageable amounts of data are transformed into a repository of semantic knowledge, transforming the network into an ontology of conceptually related entities of information collected from the resources located by peers. Appropriate experiments have been undertaken through a case study by simulating the proposed architecture and evaluating results.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.