Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing
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Advances in Database Systems
Stream Data Processing: A Quality of Service Perspective
Modeling, Scheduling, Load Shedding, and Complex Event Processing
Sharma Chakravarthy | Qingchun Jiang
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.
| Publication Date: | 08 May 2009 |
| Publisher: | Springer US |
| Imprint: | Springer |
| ISBN-13: | 9780387710020 |
| Format: | Hardback |
| Page Count: | 324 |