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Stream Data Processing: A Quality of Service Perspective - Sharma Chakravarthy
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Stream Data Processing: A Quality of Service Perspective - gebunden oder broschiert

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Modeling, Scheduling, Load Shedding, and Complex Event Processing 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. Stream Data Processing: A Quality of Service Perspective: 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. Database Datenbank, Springer-Verlag Gmbh

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Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing - Chakravarthy, Sharma / Jiang, Qingchun
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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. Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing Chakravarthy, Sharma / Jiang, Qingchun, Springer

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ISBN: 9780387710020

ID: 978038771002

The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs).This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications. Sharma Chakravarthy, Qingchun Jiang, Books, Computers, Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, And Complex Event Processing Books>Computers, Springer US

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Stream Data Processing: A Quality of Service Perspective - Sharma Chakravarthy; Qingchun Jiang
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Computer Science; Data Structures, Cryptology and Information Theory; Database Management; Information Storage and Retrieval; Information Systems Applications (incl. Internet); Computer Communication Networks; Multimedia Information Systems Chakravarthy, DOM, Data Processing, Database Management, Monitor, QoS, Solutions, Stream, Stream Data, architecture, currentsmp, database, security Books Book, Springer Science+Business Media

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Chakravarthy, Sharma; Jiang, Qing Chun:
Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing - gebunden oder broschiert

2009, ISBN: 0387710027

ID: A4917174

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Details zum Buch
Stream Data Processing: A Quality of Service Perspective
Autor:

Chakravarthy, Sharma; Jiang, Qing Chun

Titel:

Stream Data Processing: A Quality of Service Perspective

ISBN-Nummer:

9780387710020

The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs). This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. Ii includes important aspects of a QoS-driven DSMS (Data Stream Management System) and introduces applications where a DSMS can be used and discusses needs beyond the stream processing model. It also discusses in detail the design and implementation of MavStream. This volume is primarily intended as a reference book for researchers and advanced-level students in computer science. It is also appropriate for practitioners in industry who are interested in developing applications.

Detailangaben zum Buch - Stream Data Processing: A Quality of Service Perspective


EAN (ISBN-13): 9780387710020
ISBN (ISBN-10): 0387710027
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: Springer-Verlag GmbH
324 Seiten
Gewicht: 0,619 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 21.01.2007 05:35:09
Buch zuletzt gefunden am 28.11.2016 05:24:22
ISBN/EAN: 9780387710020

ISBN - alternative Schreibweisen:
0-387-71002-7, 978-0-387-71002-0

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