9780387710020 - stream data processing: a quality of service perspective : modeling, scheduling, load shedding, and complex event processing: 36 di chakravarthy, sharma; jiang, qing chun (5 risultati)
Lingua: Inglese
Editore: Springer-Verlag New York Inc., New York, NY 2009
Serie: Advances in Database Systems, Libro 27 di 42. Libro 27 di 42 - Advances in Database Systems
- Rilegato
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 199,47
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: 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.
Lingua: Inglese
Editore: Springer US 2009
Serie: Advances in Database Systems, Libro 27 di 42. Libro 27 di 42 - Advances in Database Systems
- Rilegato
Da: moluna, Greven, , Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 178,14
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 3 disponibili
Gebunden. Condizione: 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.
Lingua: Inglese
Editore: Springer Verlag 2009
Serie: Advances in Database Systems, Libro 27 di 42. Libro 27 di 42 - Advances in Database Systems
- Rilegato
Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 237,35
EUR 14,48 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardcover. Condizione: Brand New. 1st edition. 324 pages. 9.50x6.50x1.00 inches. In Stock.
Lingua: Inglese
Editore: Springer Us 2009
Serie: Advances in Database Systems, Libro 27 di 42. Libro 27 di 42 - Advances in Database Systems
- Rilegato
Da: Buchpark, Trebbin, , GermaniaBuchpark
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 174,03
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Lingua: Inglese
Editore: Springer Us Mai 2009 2009
Serie: Advances in Database Systems, Libro 27 di 42. Libro 27 di 42 - Advances in Database Systems
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 247,94
EUR 63,10 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: 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…mo- 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.
