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OverviewThe 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. Full Product DetailsAuthor: Abdelkader Hameurlain , Josef Küng , Roland Wagner , Reza AkbariniaPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 1st ed. 2017 Volume: 10430 Weight: 3.051kg ISBN: 9783662556955ISBN 10: 3662556952 Pages: 185 Publication Date: 16 August 2017 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsLightweight Metric Computation for Distributed Massive Data Streams.- Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure.- Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud.- Cost Optimization of Data Flows Based on Task Re-ordering.- Fusion Strategies for Large-Scale Multi-Modal Image Retrieval.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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