Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
2009
|
| Edition: | 1st ed. 2009 |
| Series: | Advances in Database Systems
36 |
| Subjects: | |
| Links: | https://doi.org/10.1007/978-0-387-71003-7 https://doi.org/10.1007/978-0-387-71003-7 |
| Physical Description: | 1 Online-Ressource (XXVI, 324 Seiten 50 illus.) |
| ISBN: | 9780387710037 |
| DOI: | 10.1007/978-0-387-71003-7 |
Staff View
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| 505 | 8 | |a 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. | |
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| contents | 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. |
| ctrlnum | (ZDB-2-SCS)978-0-387-71003-7 (OCoLC)1492113944 (DE-599)BVBBV050122723 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-0-387-71003-7 |
| edition | 1st ed. 2009 |
| format | Electronic eBook |
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| isbn | 9780387710037 |
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| spelling | Chakravarthy, Sharma Verfasser aut Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing by Sharma Chakravarthy, Qingchun Jiang 1st ed. 2009 New York, NY Springer US 2009 1 Online-Ressource (XXVI, 324 Seiten 50 illus.) txt rdacontent c rdamedia cr rdacarrier Advances in Database Systems 36 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. Data Structures and Information Theory Database Management Information Storage and Retrieval Computer and Information Systems Applications Computer Communication Networks Multimedia Information Systems Data structures (Computer science) Information theory Database management Information storage and retrieval systems Application software Computer networks Multimedia systems Jiang, Qingchun aut Erscheint auch als Druck-Ausgabe 9780387710020 Erscheint auch als Druck-Ausgabe 9780387565422 Erscheint auch als Druck-Ausgabe 9781441943736 https://doi.org/10.1007/978-0-387-71003-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Chakravarthy, Sharma Jiang, Qingchun Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing 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. Data Structures and Information Theory Database Management Information Storage and Retrieval Computer and Information Systems Applications Computer Communication Networks Multimedia Information Systems Data structures (Computer science) Information theory Database management Information storage and retrieval systems Application software Computer networks Multimedia systems |
| title | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing |
| title_auth | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing |
| title_exact_search | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing |
| title_full | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing by Sharma Chakravarthy, Qingchun Jiang |
| title_fullStr | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing by Sharma Chakravarthy, Qingchun Jiang |
| title_full_unstemmed | Stream Data Processing: A Quality of Service Perspective Modeling, Scheduling, Load Shedding, and Complex Event Processing by Sharma Chakravarthy, Qingchun Jiang |
| title_short | Stream Data Processing: A Quality of Service Perspective |
| title_sort | stream data processing a quality of service perspective modeling scheduling load shedding and complex event processing |
| title_sub | Modeling, Scheduling, Load Shedding, and Complex Event Processing |
| topic | Data Structures and Information Theory Database Management Information Storage and Retrieval Computer and Information Systems Applications Computer Communication Networks Multimedia Information Systems Data structures (Computer science) Information theory Database management Information storage and retrieval systems Application software Computer networks Multimedia systems |
| topic_facet | Data Structures and Information Theory Database Management Information Storage and Retrieval Computer and Information Systems Applications Computer Communication Networks Multimedia Information Systems Data structures (Computer science) Information theory Database management Information storage and retrieval systems Application software Computer networks Multimedia systems |
| url | https://doi.org/10.1007/978-0-387-71003-7 |
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