The time model for event processing in internet of things
Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are of...
Ausführliche Beschreibung
Autor*in: |
Zhou, Chunjie [verfasserIn] Wang, Xiaoling [verfasserIn] Zhang, Zhiwang [verfasserIn] Zhang, Zhenxing [verfasserIn] Qu, Haiping [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2018 |
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Übergeordnetes Werk: |
Enthalten in: Frontiers of computer science in China - Beijing : Higher Education Press, 2007, 13(2018), 3 vom: 13. Nov., Seite 471-488 |
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Übergeordnetes Werk: |
volume:13 ; year:2018 ; number:3 ; day:13 ; month:11 ; pages:471-488 |
Links: |
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DOI / URN: |
10.1007/s11704-018-7378-4 |
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Katalog-ID: |
SPR021942242 |
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10.1007/s11704-018-7378-4 doi (DE-627)SPR021942242 (SPR)s11704-018-7378-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Zhou, Chunjie verfasserin aut The time model for event processing in internet of things 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 Wang, Xiaoling verfasserin aut Zhang, Zhiwang verfasserin aut Zhang, Zhenxing verfasserin aut Qu, Haiping verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2018), 3 vom: 13. Nov., Seite 471-488 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2018 number:3 day:13 month:11 pages:471-488 https://dx.doi.org/10.1007/s11704-018-7378-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2018 3 13 11 471-488 |
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10.1007/s11704-018-7378-4 doi (DE-627)SPR021942242 (SPR)s11704-018-7378-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Zhou, Chunjie verfasserin aut The time model for event processing in internet of things 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 Wang, Xiaoling verfasserin aut Zhang, Zhiwang verfasserin aut Zhang, Zhenxing verfasserin aut Qu, Haiping verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2018), 3 vom: 13. Nov., Seite 471-488 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2018 number:3 day:13 month:11 pages:471-488 https://dx.doi.org/10.1007/s11704-018-7378-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2018 3 13 11 471-488 |
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10.1007/s11704-018-7378-4 doi (DE-627)SPR021942242 (SPR)s11704-018-7378-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Zhou, Chunjie verfasserin aut The time model for event processing in internet of things 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 Wang, Xiaoling verfasserin aut Zhang, Zhiwang verfasserin aut Zhang, Zhenxing verfasserin aut Qu, Haiping verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2018), 3 vom: 13. Nov., Seite 471-488 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2018 number:3 day:13 month:11 pages:471-488 https://dx.doi.org/10.1007/s11704-018-7378-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2018 3 13 11 471-488 |
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10.1007/s11704-018-7378-4 doi (DE-627)SPR021942242 (SPR)s11704-018-7378-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Zhou, Chunjie verfasserin aut The time model for event processing in internet of things 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 Wang, Xiaoling verfasserin aut Zhang, Zhiwang verfasserin aut Zhang, Zhenxing verfasserin aut Qu, Haiping verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2018), 3 vom: 13. Nov., Seite 471-488 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2018 number:3 day:13 month:11 pages:471-488 https://dx.doi.org/10.1007/s11704-018-7378-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2018 3 13 11 471-488 |
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10.1007/s11704-018-7378-4 doi (DE-627)SPR021942242 (SPR)s11704-018-7378-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl Zhou, Chunjie verfasserin aut The time model for event processing in internet of things 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 Wang, Xiaoling verfasserin aut Zhang, Zhiwang verfasserin aut Zhang, Zhenxing verfasserin aut Qu, Haiping verfasserin aut Enthalten in Frontiers of computer science in China Beijing : Higher Education Press, 2007 13(2018), 3 vom: 13. Nov., Seite 471-488 (DE-627)545787726 (DE-600)2388878-7 1673-7466 nnns volume:13 year:2018 number:3 day:13 month:11 pages:471-488 https://dx.doi.org/10.1007/s11704-018-7378-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2005 54.00 ASE AR 13 2018 3 13 11 471-488 |
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Zhou, Chunjie ddc 004 bkl 54.00 misc time model misc event processing misc internet of things misc time interval misc time disorder The time model for event processing in internet of things |
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004 ASE 54.00 bkl The time model for event processing in internet of things time model (dpeaa)DE-He213 event processing (dpeaa)DE-He213 internet of things (dpeaa)DE-He213 time interval (dpeaa)DE-He213 time disorder (dpeaa)DE-He213 |
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The time model for event processing in internet of things |
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Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. |
abstractGer |
Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. |
abstract_unstemmed |
Abstract The time management model for event processing in internet of things has a special and important requirement. Many events in real world applications are long-lasting events which have different time granularity with order or out-of-order. The temporal relationships among those events are often complex. An important issue of complex event processing is to extract patterns from event streams to support decision making in real-time. However, current time management model does not consider the unified solution about time granularity, time interval, time disorder, and the difference between workday calendar systems in different organizations. In this work, we analyze the preliminaries of temporal semantics of events. A tree-plan model of out-of-order durable events is proposed. A hybrid solution is correspondingly introduced. A case study is illustrated to explain the time constraints and the time optimization. Extensive experimental studies demonstrate the efficiency of our approach. |
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