Transactions on Large-Scale Data- and Knowledge-Centered Systems III

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the third issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains two kinds of papers: Firstly, a selection of the best papers from the third International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010, and secondly, a selection of 6 papers from the 18 papers submitted in response to the call for papers for this issue. The topics covered by this special issue include replication, the semantic web, information retrieval, data storage, source selection, and large-scale distributed applications.

Covers a wide range of different topics in the field of knowledge management in grid and P2P systems Includes a selection of the best papers presented at GLOBE 2010 Gives a detailed coverage of the state of the art of the field

Auteur
Roland Wagner, Kunsthistoriker und Germanist, ist Stipendiat der Fazit-Stiftung und Spezialist für den Einfluss der Philosophie Friedrich Nietzsches auf die Kunst.

Texte du rabat

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between Grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.

This, the third issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems , contains two kinds of papers: Firstly, a selection of the best papers from the third International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2010, and secondly, a selection of 6 papers from the 18 papers submitted in response to the call for papers for this issue.

The topics covered by this special issue include replication, the semantic web, information retrieval, data storage, source selection, and large-scale distributed applications.

Contenu
Replication in DHTs Using Dynamic Groups.-A Survey of Structured P2P Systems for RDF Data Storage and Retrieval.-A Semantic-Based Approach for Data Management in a P2P System.-P2Prec: A P2P Recommendation System for Large-Scale Data Sharing.-Energy-Aware Data Processing Techniques for Wireless Sensor Networks: A Review.-Improving Source Selection in Large Scale Mediation Systems through Combinatorial Optimization Techniques.-Compression for Cost-Effective Cloud Data Storage.-A Mobile Web Service Middleware and Its Performance Study.-Integrating Large and Distributed Life Sciences Resources for Systems Biology Research: Progress.