Stream-based data management enables the efficient analysis and processing of large volumes of data in distributed environments. This book presents network-aware optimization techniques which allow an effective resource usage considering computational load and network bandwidth in a distributed data stream management system. The data stream sharing approach is thereby based on distributing query processing in the network and on sharing preprocessed data streams for satisfying multiple similar queries. To increase the possibilities for sharing, the extended approach of data stream widening is able to alter existing streams to additionally contain all the necessary data for a new query. Since data stream widening requires the treatment of disjunctive predicates, this book further describes methods for matching and evaluating such predicates. The book is thus a suitable source of information for computer scientists and engineers interested in the optimized processing, evaluation, and management of distributed data streams.
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Stream-based data management enables the efficient analysis and processing of large volumes of data in distributed environments. This book presents network-aware optimization techniques which allow an effective resource usage considering computational load and network bandwidth in a distributed data stream management system. The data stream sharing approach is thereby based on distributing query processing in the network and on sharing preprocessed data streams for satisfying multiple similar queries. To increase the possibilities for sharing, the extended approach of data stream widening is able to alter existing streams to additionally contain all the necessary data for a new query. Since data stream widening requires the treatment of disjunctive predicates, this book further describes methods for matching and evaluating such predicates. The book is thus a suitable source of information for computer scientists and engineers interested in the optimized processing, evaluation, and management of distributed data streams.
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Stream-based data management enables the efficientanalysis and processing of large volumes of data indistributed environments. This book presentsnetwork-aware optimization techniques which allow aneffective resource usage considering. Nº de ref. del artículo: 4957635
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Taschenbuch. Condición: Neu. Network-Aware Optimization in Distributed Data Stream Systems | Sharing Data Stream Contents and Processing Results in Distributed Environments | Richard Kuntschke | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639102628 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101701535
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Stream-based data management enables the efficientanalysis and processing of large volumes of data indistributed environments. This book presentsnetwork-aware optimization techniques which allow aneffective resource usage considering computationalload and network bandwidth in a distributed datastream management system. The data stream sharingapproach is thereby based on distributing queryprocessing in the network and on sharing preprocesseddata streams for satisfying multiple similar queries.To increase the possibilities for sharing, theextended approach of data stream widening is able toalter existing streams to additionally contain allthe necessary data for a new query. Since data streamwidening requires the treatment of disjunctivepredicates, this book further describes methods formatching and evaluating such predicates. The book isthus a suitable source of information for computerscientists and engineers interested in the optimizedprocessing, evaluation, and management of distributeddata streams. Nº de ref. del artículo: 9783639102628
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