Stream Data Processing: A Quality of Service Perspective
Jiang, Qingchun.
Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing / [electronic resource] : by Qingchun Jiang, Sharma Chakravarthy. - XXVI, 324 p. 50 illus. online resource. - Advances in Database Systems, 36 1386-2944 ; . - Advances in Database Systems, 36 .
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.
Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming in the form of a stream and in addition, 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 from QoS perspective. This volume is intended as a text book for graduate courses and as a reference book for researchers, advanced-level students in computer sciences, and IT practitioners.
9780387710037
10.1007/978-0-387-71003-7 doi
Computer science.
Computer Communication Networks.
Database management.
Information storage and retrieval systems.
Information systems.
Multimedia systems.
Computer Science.
Multimedia Information Systems.
Computer Communication Networks.
Information Systems Applications (incl.Internet).
Information Storage and Retrieval.
Database Management.
Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing / [electronic resource] : by Qingchun Jiang, Sharma Chakravarthy. - XXVI, 324 p. 50 illus. online resource. - Advances in Database Systems, 36 1386-2944 ; . - Advances in Database Systems, 36 .
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.
Traditional database management systems, widely used today, are not well-suited for a class of emerging applications. These applications, such as network management, sensor computing, and so on, need to continuously process large amounts of data coming in the form of a stream and in addition, 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 from QoS perspective. This volume is intended as a text book for graduate courses and as a reference book for researchers, advanced-level students in computer sciences, and IT practitioners.
9780387710037
10.1007/978-0-387-71003-7 doi
Computer science.
Computer Communication Networks.
Database management.
Information storage and retrieval systems.
Information systems.
Multimedia systems.
Computer Science.
Multimedia Information Systems.
Computer Communication Networks.
Information Systems Applications (incl.Internet).
Information Storage and Retrieval.
Database Management.