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Group-Aware Stream Filtering - Ming Li
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Ming Li:

Group-Aware Stream Filtering - neues Buch

ISBN: 9783838302898

ID: d90701332f4b95b54f45d15e6e9a4d54

Towards Collaborative Data Reduction in Stream Processing Systems In this dissertation, we (the author and her research collaborators) consider a distributed system that disseminates high-volume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we propose a ``group-aware stream filtering'' approach, used together with multicasting, that exploits two overlooked, yet important, properties of monitoring applications: 1) many of them can tolerate some degree of ``slack'' in their data quality requirements, and 2) there may exist multiple subsets of the source data satisfying the quality needs of an application. We can thus choose the ``best alternative'' subset for each application to maximize the data overlap within the group to best benefit from multicasting. Here we provide a general framework for the group-aware stream filtering problem, which we prove is NP-hard. We introduce a suite of heuristics-based algorithms that ensure data quality (specifically, granularity and timeliness) while preserving bandwidth. Our evaluation shows that group-aware stream filtering is effective in trading CPU time for bandwidth savings, compared with self-interested filtering. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8383-0289-8, LAP Lambert Academic Publishing

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Group-Aware Stream Filtering - Ming Li
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Ming Li:

Group-Aware Stream Filtering - neues Buch

ISBN: 9783838302898

ID: 104927122

In this dissertation, we (the author and her research collaborators) consider a distributed system that disseminates high-volume event streams to many simultaneous monitoring applications over a low-bandwidth network. For bandwidth efficiency, we propose a ``group-aware stream filtering´´ approach, used together with multicasting, that exploits two overlooked, yet important, properties of monitoring applications: 1) many of them can tolerate some degree of ``slack´´ in their data quality requirements, and 2) there may exist multiple subsets of the source data satisfying the quality needs of an application. We can thus choose the ``best alternative´´ subset for each application to maximize the data overlap within the group to best benefit from multicasting. Here we provide a general framework for the group-aware stream filtering problem, which we prove is NP-hard. We introduce a suite of heuristics-based algorithms that ensure data quality (specifically, granularity and timeliness) while preserving bandwidth. Our evaluation shows that group-aware stream filtering is effective in trading CPU time for bandwidth savings, compared with self-interested filtering. Towards Collaborative Data Reduction in Stream Processing Systems Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Group-Aware Stream Filtering - Ming Li
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ming Li:
Group-Aware Stream Filtering - neues Buch

ISBN: 9783838302898

ID: 111664533

In this dissertation, we (the author and her researchcollaborators) considera distributed system that disseminates high-volumeevent streams tomany simultaneous monitoring applications over alow-bandwidthnetwork. For bandwidth efficiency, we propose a``group-aware streamfiltering´´ approach, used together withmulticasting, that exploitstwo overlooked, yet important, properties ofmonitoring applications:1) many of them can tolerate some degree of ``slack´´in their dataquality requirements, and 2) there may exist multiplesubsets of thesource data satisfying the quality needs of anapplication. We canthus choose the ``best alternative´´ subset for eachapplication tomaximize the data overlap within the group to bestbenefit frommulticasting. Here we provide a general framework forthe group-awarestream filtering problem, which we prove is NP-hard.We introduce asuite of heuristics-based algorithms that ensure dataquality(specifically, granularity and timeliness) whilepreservingbandwidth. Our evaluation shows that group-awarestream filtering iseffective in trading CPU time for bandwidth savings,compared withself-interested filtering. Towards Collaborative Data Reduction in Stream Processing Systems Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Acad. Publ.

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Group-Aware Stream Filtering - Ming Li
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Ming Li:
Group-Aware Stream Filtering - neues Buch

ISBN: 9783838302898

ID: 151705310

In this dissertation, we (the author and her researchcollaborators) considera distributed system that disseminates high-volumeevent streams tomany simultaneous monitoring applications over alow-bandwidthnetwork. For bandwidth efficiency, we propose a``group-aware streamfiltering´´ approach, used together withmulticasting, that exploitstwo overlooked, yet important, properties ofmonitoring applications:1) many of them can tolerate some degree of ``slack´´in their dataquality requirements, and 2) there may exist multiplesubsets of thesource data satisfying the quality needs of anapplication. We canthus choose the ``best alternative´´ subset for eachapplication tomaximize the data overlap within the group to bestbenefit frommulticasting. Here we provide a general framework forthe group-awarestream filtering problem, which we prove is NP-hard.We introduce asuite of heuristics-based algorithms that ensure dataquality(specifically, granularity and timeliness) whilepreservingbandwidth. Our evaluation shows that group-awarestream filtering iseffective in trading CPU time for bandwidth savings,compared withself-interested filtering. Towards Collaborative Data Reduction in Stream Processing Systems Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher

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Ming Li:
Group-Aware Stream Filtering - Taschenbuch

ISBN: 9783838302898

ID: 9783838302898

Towards Collaborative Data Reduction in StreamProcessing Systems In this dissertation, we (the author and her research Group-Aware Stream Filtering: In this dissertation, we (the author and her research, LAP Lambert Acad. Publ.

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Group-Aware Stream Filtering
Autor:

Li, Ming

Titel:

Group-Aware Stream Filtering

ISBN-Nummer:

9783838302898

Detailangaben zum Buch - Group-Aware Stream Filtering


EAN (ISBN-13): 9783838302898
ISBN (ISBN-10): 3838302893
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: LAP Lambert Acad. Publ.
132 Seiten
Gewicht: 0,213 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 13.05.2009 14:45:53
Buch zuletzt gefunden am 11.09.2016 13:56:23
ISBN/EAN: 9783838302898

ISBN - alternative Schreibweisen:
3-8383-0289-3, 978-3-8383-0289-8

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