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

by Abdelkader Hameurlain (Editor), Josef Küng (Editor), Roland Wagner (Editor)

Overview

Data management, knowledge discovery, and knowledge processing are core and hot topics in computer science. They are widely accepted as enabling technologies for modern enterprises, enhancing their performance and their decision making processes. Since the 1990s the Internet has been the outstanding driving force for application development in all domains. An increase in the demand for resource sharing (e. g. , computing resources, s- vices, metadata, data sources) across different sites connected through networks has led to an evolvement of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications prov- ing high scalability. Current decentralized systems still focus on data and knowledge as their main resource characterized by: heterogeneity of nodes, data, and knowledge autonomy of data and knowledge sources and services large-scale data volumes, high numbers of data sources, users, computing resources dynamicity of nodes These characteristics recognize: (i) limitations of methods and techniques developed for centralized systems (ii) requirements to extend or design new approaches and methods enhancing efficiency, dynamicity, and scalability (iii) development of large scale, experimental platforms and relevant benchmarks to evaluate and validate scaling Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and agent systems supporting 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.

Product Details

ISBN-13:	9783642037214
Publisher:	Springer Berlin Heidelberg
Publication date:	09/29/2009
Series:	Lecture Notes in Computer Science , #5740
Edition description:	2009
Pages:	374
Product dimensions:	6.10(w) x 9.10(h) x 0.90(d)

Table of Contents

Modeling and Management of Information Supporting Functional Dimension of Collaborative Networks.- A Universal Metamodel and Its Dictionary.- Data Mining Using Graphics Processing Units.- Context-Aware Data and IT Services Collaboration in E-Business.- Facilitating Controlled Tests of Website Design Changes Using Aspect-Oriented Software Development and Software Product Lines.- Frontiers of Structured Business Process Modeling.- Information Systems for Federated Biobanks.- Exploring Trust, Security and Privacy in Digital Business.- Evolution of Query Optimization Methods.- Holonic Rationale and Bio-inspiration on Design of Complex Emergent and Evolvable Systems.- Self-Adaptation for Robustness and Cooperation in Holonic Multi-Agent Systems.- Context Oriented Information Integration.- Data Sharing in DHT Based P2P Systems.- Reverse k Nearest Neighbor and Reverse Farthest Neighbor Search on Spatial Networks.