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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing

Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing

Chakravarthy, Sharma
Jiang, Qingchun

Hardcover

Series: Advances in Database Systems, Book 36

DatabasesNetworkingSystem Administration

ISBN10: 0387710027
ISBN13: 9780387710020
Publisher: Springer Nature
Published: May 8 2009
Pages: 324
Weight: 1.35
Height: 0.80 Width: 6.20 Depth: 9.30
Language: English

Data Stream Management Systems (DSMSs) are the systems used to process data streams and provide for the needs of stream-based applications. This book presents a new paradigm to meet the needs of these applications, including a detailed discussion of the techniques proposed. It 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.

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