Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2009
|
| Ausgabe: | 1st ed. 2009 |
| Schriftenreihe: | Advances in Database Systems
36 |
| Schlagworte: | |
| Online-Zugang: | DE-355 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XXVI, 324 Seiten 50 illus.) |
| ISBN: | 9780387710037 |
| DOI: | 10.1007/978-0-387-71003-7 |
Internformat
MARC
| LEADER | 00000nam a2200000zcb4500 | ||
|---|---|---|---|
| 001 | BV050122723 | ||
| 003 | DE-604 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 250115s2009 xx o|||| 00||| eng d | ||
| 020 | |a 9780387710037 |9 978-0-387-71003-7 | ||
| 024 | 7 | |a 10.1007/978-0-387-71003-7 |2 doi | |
| 035 | |a (ZDB-2-SCS)978-0-387-71003-7 | ||
| 035 | |a (OCoLC)1492113944 | ||
| 035 | |a (DE-599)BVBBV050122723 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-355 | ||
| 082 | 0 | |a 005.73 |2 23 | |
| 082 | 0 | |a 003.54 |2 23 | |
| 100 | 1 | |a Chakravarthy, Sharma |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stream Data Processing: A Quality of Service Perspective |b Modeling, Scheduling, Load Shedding, and Complex Event Processing |c by Sharma Chakravarthy, Qingchun Jiang |
| 250 | |a 1st ed. 2009 | ||
| 264 | 1 | |a New York, NY |b Springer US |c 2009 | |
| 300 | |a 1 Online-Ressource (XXVI, 324 Seiten 50 illus.) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Advances in Database Systems |v 36 | |
| 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. | |
| 650 | 4 | |a Data Structures and Information Theory | |
| 650 | 4 | |a Database Management | |
| 650 | 4 | |a Information Storage and Retrieval | |
| 650 | 4 | |a Computer and Information Systems Applications | |
| 650 | 4 | |a Computer Communication Networks | |
| 650 | 4 | |a Multimedia Information Systems | |
| 650 | 4 | |a Data structures (Computer science) | |
| 650 | 4 | |a Information theory | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Information storage and retrieval systems | |
| 650 | 4 | |a Application software | |
| 650 | 4 | |a Computer networks | |
| 650 | 4 | |a Multimedia systems | |
| 700 | 1 | |a Jiang, Qingchun |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780387710020 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9780387565422 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781441943736 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-0-387-71003-7 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-1-SCS | ||
| 940 | 1 | |q ZDB-2-SCS_2009 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-035459592 | |
| 966 | e | |u https://doi.org/10.1007/978-0-387-71003-7 |l DE-355 |p ZDB-2-SCS |q UBR Paketkauf 2024 |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1823676063510691840 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Chakravarthy, Sharma Jiang, Qingchun |
| author_facet | Chakravarthy, Sharma Jiang, Qingchun |
| author_role | aut aut |
| author_sort | Chakravarthy, Sharma |
| author_variant | s c sc q j qj |
| building | Verbundindex |
| bvnumber | BV050122723 |
| collection | ZDB-1-SCS |
| 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 |
| dewey-full | 005.73 003.54 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security 003 - Systems |
| dewey-raw | 005.73 003.54 |
| dewey-search | 005.73 003.54 |
| dewey-sort | 15.73 |
| 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 |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000zcb4500</leader><controlfield tag="001">BV050122723</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">250115s2009 xx o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780387710037</subfield><subfield code="9">978-0-387-71003-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-0-387-71003-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-SCS)978-0-387-71003-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1492113944</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV050122723</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.73</subfield><subfield code="2">23</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">003.54</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chakravarthy, Sharma</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stream Data Processing: A Quality of Service Perspective</subfield><subfield code="b">Modeling, Scheduling, Load Shedding, and Complex Event Processing</subfield><subfield code="c">by Sharma Chakravarthy, Qingchun Jiang</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed. 2009</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer US</subfield><subfield code="c">2009</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXVI, 324 Seiten 50 illus.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Advances in Database Systems</subfield><subfield code="v">36</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data Structures and Information Theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Database Management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information Storage and Retrieval</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer and Information Systems Applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer Communication Networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multimedia Information Systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data structures (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information theory</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Database management</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Information storage and retrieval systems</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer networks </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multimedia systems</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jiang, Qingchun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780387710020</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9780387565422</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781441943736</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-0-387-71003-7</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-SCS</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-SCS_2009</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-035459592</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-0-387-71003-7</subfield><subfield code="l">DE-355</subfield><subfield code="p">ZDB-2-SCS</subfield><subfield code="q">UBR Paketkauf 2024</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV050122723 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-10T13:10:23Z |
| institution | BVB |
| isbn | 9780387710037 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035459592 |
| oclc_num | 1492113944 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | 1 Online-Ressource (XXVI, 324 Seiten 50 illus.) |
| psigel | ZDB-1-SCS ZDB-2-SCS_2009 ZDB-2-SCS UBR Paketkauf 2024 |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer US |
| record_format | marc |
| series2 | Advances in Database Systems |
| 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 |
| work_keys_str_mv | AT chakravarthysharma streamdataprocessingaqualityofserviceperspectivemodelingschedulingloadsheddingandcomplexeventprocessing AT jiangqingchun streamdataprocessingaqualityofserviceperspectivemodelingschedulingloadsheddingandcomplexeventprocessing |