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WORQ: Workload-Driven RDF Query Processing
Published on Nov 22, 20182819 Views
Cloud-based systems provide a rich platform for managing large-scale RDF data. However, the distributed nature of these systems introduces several performance challenges, e.g., disk I/O and network sh
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Chapter list
WORQ: Workload-Driven RDF Query Processing00:00
Introduction RDF Data Is Everywhere00:11
Introduction Processing RDF Queries00:47
Problem Statement01:40
Proposal02:32
Online Reduction of RDF Data Join Patterns04:32
Online Reduction of RDF Data Bloom Join05:54
Online Reduction of RDF Data N-ary Join08:48
Online Reduction of RDF Data Caching09:33
Workload-Driven Partitioning Overview09:54
Workload-Driven Partitioning Proposal10:30
Queries with Unbound Properties Overview11:01
Queries with Unbound Properties Proposal11:36
Experimental Setup12:35
Number of Files12:47
Data Size on HDFS12:56
Preprocessing Time13:02
Query Execution Performance Workload Generators13:16
Query Execution Performance Query Patterns - 113:44
Query Execution Performance Query Patterns - 214:01
Performance of Unbound-Property Queries14:33
Conclusion14:38
Thank You !15:09