Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII
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Beschreibung
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 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
Addresses the field of data and knowledge management systems
Includes in-depth articles on distributed massive data streams and storage systems
Contains papers focusing on scientific workflow scheduling, cost optimization of data flows, and fusion strategies
Addresses the field of data and knowledge management systems Includes in-depth articles on distributed massive data streams and storage systems Contains papers focusing on scientific workflow scheduling, cost optimization of data flows, and fusion strategies Includes supplementary material: sn.pub/extras
Autor*in
Abdelkader Hameurlain
Themen in »Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII«
Internet of Things data stream model scientific workflow scheduling multi-site cloud cost optimization of data flows fusion strategies