9780387710020 - stream data processing: a quality of service perspective: modeling, scheduling, load shedding, and complex event processing: 36 (advances in database systems, 36) de chakravarthy, sharma; jiang, qingchun (5 resultados)
Idioma: Inglés
Editorial: Springer-Verlag New York Inc., New York, NY 2009
Serie: Advances in Database Systems, Libro 27 de 42. Libro 27 de 42 - Advances in Database Systems
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 202,01
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. Traditional database management systems, widely used today, are not well-suited for a class of emerging applications, such as computer network management, homeland security, sensor computing, and environmental monitoring. These applications need to continuously process large amounts of data…coming in the form of a stream, and meet stringent response time requirements. Support for handling QoS metrics, such as response time, memory usage, and throughput, is central to any system proposed for the above applications. Stream Data Processing: A Quality of Service Perspective (Modeling, Scheduling, Load Shedding, and Complex Event Processing), presents a new paradigm suitable for stream and complex event processing. This book covers a broad range of topics in stream data processing and includes detailed technical discussions of a number of proposed techniques. This volume is intended as a textbook for graduate courses and as a reference book for researchers, advanced-level students in CS, and IT practitioners. In recent years, a new class of applications has come to the forefront { p- marily due to the advancement in our ability to collect data from multitudes of devices, and process them e ciently. These - plications need to process data continuously (and as long as data is available) from one or more sources. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer US 2009
Serie: Advances in Database Systems, Libro 27 de 42. Libro 27 de 42 - Advances in Database Systems
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 178,14
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Gebunden. Condición: New. Includes important aspects of a QoS-driven DSMS (Data Stream Management System)Introduces applications where a DSMS can be used and discusses needs beyond the stream processing model Discusses in detail the design and implementation of MavS.
Idioma: Inglés
Editorial: Springer Verlag 2009
Serie: Advances in Database Systems, Libro 27 de 42. Libro 27 de 42 - Advances in Database Systems
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 238,68
Envío por EUR 14,49Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. 1st edition. 324 pages. 9.50x6.50x1.00 inches. In Stock.
Idioma: Inglés
Editorial: Springer Us 2009
Serie: Advances in Database Systems, Libro 27 de 42. Libro 27 de 42 - Advances in Database Systems
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Librería: Buchpark, Trebbin, , AlemaniaBuchpark
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EUR 174,03
Envío por EUR 105,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Idioma: Inglés
Editorial: Springer Us Mai 2009 2009
Serie: Advances in Database Systems, Libro 27 de 42. Libro 27 de 42 - Advances in Database Systems
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 247,94
Envío por EUR 63,10Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. Neuware - In recent years, a new class of applications has come to the forefront { p- marily due to the advancement in our ability to collect data from multitudes of devices, and process them e ciently. These include homeland security - plications, sensor/pervasive computing applications, various kinds of m…o- toring applications, and even traditional applications belonging to nancial, computer network management, and telecommunication domains. These - plications need to process data continuously (and as long as data is available) from one or more sources. The sequence of data items continuously gen- ated by sources is termed a data stream. Because of the possible never-ending nature of a data stream, the amount of data to be processed is likely to be unbounded. In addition, timely detection of interesting changes or patterns or aggregations over incoming data is critical for many of these applications. Furthermore, the data arrival rates may uctuate over a period of time and may be bursty at times. For most of these applications, Quality of Service (or QoS) requirements, such as response time, memory usage, and throughput are extremely important. These application requirements make it infeasible to simply load the incoming data streams into a persistent store and process them e ectively using currently available database management techniques.
