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Stream Data Processing Quality by Chakravarthy Sharma (12 results)
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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US$ 178.51
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Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing (Advances in Database Systems, 36)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 190.35
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Stream Data Processing: A Quality of Service Perspective (Hardcover)
Published by Springer-Verlag New York Inc., New York, NY, 2009
ISBN 10: 0387710027 ISBN 13: 9780387710020
Language: English
Hardcover. Condition: 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.
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US$ 215.29
Convert currencyUS$ 57.48 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketGebunden. Condition: 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.
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US$ 273.52
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Add to basketHardcover. Condition: Brand New. 1st edition. 324 pages. 9.50x6.50x1.00 inches. In Stock.
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US$ 186.98
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Stream Data Processing: A Quality of Service Perspective : Modeling, Scheduling, Load Shedding, and Complex Event Processing
Published by Springer Us Mai 2009, 2009
ISBN 10: 0387710027 ISBN 13: 9780387710020
Language: English
US$ 299.66
Convert currencyUS$ 74.04 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: 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.
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US$ 164.55
Convert currencyUS$ 57.48 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
