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Optimizing the Performance for Concurrent RDF Stream Processing Queries

Published on Jul 10, 20171541 Views

Chan Le Van

With the growing popularity of Internet of Things (IoT) and sensing technologies, a large number of data streams are being generated at a very rapid pace. To explore the potentials of the integration

ESWC 2017 - Portorož

Related categories

Big DataSemantic Web

Chapter list

Optimizing the Performance for Concurrent RDF Stream Processing Queries00:00
Outline00:28
Data Streams are Everywhere00:55
RDF Stream Processing01:52
II. Foundations02:19
CQELS – RDF Stream Processing Framework02:50
CQELS – RDF Stream Processing Framework - 103:48
CQELS – RDF Stream Processing Framework - 204:50
Multi-way Join Operator04:58
Multi-way Join Operator - 105:52
Shared Join Operator06:02
Shared Join Operator - 106:31
Network of Shared Join Operators(NSJO)07:09
Network of Shared Join Operators(NSJO) - 107:26
Network of Shared Join Operators(NSJO) - 207:44
Network of Shared Join Operators(NSJO) - 308:04
III. Optimization of Concurrent CQELS queries08:47
Output Reutilization Heuristic09:43
CQELS+: Join Graph – Example10:24
CQELS+: Join Graph – Example - 111:11
CQELS+: Join Graph – Example - 211:51
Load Balancing for Parallel CQELS+ Instances12:53
IV. Evaluation14:15
Join Performance between CQELS and CQELS+14:29
Load Balancing15:15
Query Registration Time16:56
VI. Conclusion and Future Works17:49