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Operator-aware approach for boosting performance in RDF stream processing
Published on Nov 10, 20161271 Views
To enable efficiency in stream processing, the evaluation of a query is usually performed over bounded parts of (potentially) unbounded streams, i.e., processing windows “slide” over the streams. To a
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Chapter list
Operator-aware Approach for Boosting Performance in Processing RDF streams00:00
Agenda00:54
Overview of RDF Stream Processing(RSP) - 101:14
Overview of RDF Stream Processing(RSP) - 201:53
Overview of RDF Stream Processing(RSP) - 302:14
Overview of RDF Stream Processing(RSP) - 402:44
On boosting the processing throughput of RSP engines03:13
Incremental Evaluation for continuous operators in a Nutshell04:47
Incremental Evaluation of Continuous Queries over RDF Stream: Issues and Challenges06:04
Incremental Evaluation of Continuous Query: sliding data flow - 107:54
Incremental Evaluation of Continuous Query: sliding data flow - 208:02
Incremental Evaluation of Continuous Query: evicting processing state - 109:33
Incremental Evaluation of Continuous Query: evicting processing state - 209:56
Incremental Evaluation of Continuous Query: evicting processing state - 310:01
Incremental Evaluation of Continuous Query: evicting processing state - 410:08
Operator-aware Approach10:33
Tree-based data structure for solution mappings - 111:03
Tree-based data structure for solution mappings - 211:06
Tree-based data structure for solution mappings - 311:16
Tree-based data structure for solution mappings - 411:19
Tree-based data structure for solution mappings - 511:26
Evicting expired mappings - 111:49
Evicting expired mappings - 211:57
Evicting expired mappings - 311:58
Evicting expired mappings - 411:59
Ring Indexes on bags of mappings12:26
Throughputs of Ring indexes13:45
Throughputs of Ring indexes (Cont.)14:06
Throughputs of Query Operators14:23
Throughputs & Memory footprint14:49
Summary15:59