Chakravarthy / Jiang Stream Data Processing: A Quality of Service Perspective
2009
ISBN: 978-0-387-71003-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Modeling, Scheduling, Load Shedding, and Complex Event Processing
E-Book, Englisch, Band 36, 324 Seiten, eBook
Reihe: Advances in Database Systems
ISBN: 978-0-387-71003-7
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
