Stream Data Processing: A Quality of Service Perspective
-37 %

Stream Data Processing: A Quality of Service Perspective

Modeling, Scheduling, Load Shedding, and Complex Event Processing
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ISBN-13:
9780387710020
Erscheinungsdatum:
08.05.2009
Seiten:
324
Autor:
Sharma Chakravarthy
Gewicht:
619 g
Format:
243x161x25 mm
Serie:
36, Advances in Database Systems
Sprache:
Englisch
Beschreibung:

The systems used to process data streams and provide for the needs of stream-based applications are Data Stream Management Systems (DSMSs).
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.
OVERVIEW OF DATA STREAM PROCESSING.- DSMS CHALLENGES.- LITERATURE REVIEW.- MODELING CONTINUOUS QUERIES OVER DATA STREAMS.- SCHEDULING STRATEGIES FOR CQs.- LOAD SHEDDING IN DATA STREAM MANAGEMENT SYSTEMS.- NFMi: AN INTER-DOMAIN NETWORK FAULT MANAGEMENT SYSTEM.- INTEGRATING STREAM AND COMPLEX EVENT PROCESSING.- MavStream: DEVELOPMENT OF A DSMS PROTOTYPE.- INTEGRATING CEP WITH A DSMS.- CONCLUSIONS AND FUTURE DIRECTIONS.

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