Published:
[Erscheinungsort nicht ermittelbar]: ACM SIGMOD, 2019
Published in:SIGMOD 2019 ; (Jan. 2019)
Extent:
1 Online-Ressource (256 MB, 00:13:54:16)
Language:
English
DOI:
10.5446/42979
Identifier:
Origination:
Footnote:
Audiovisuelles Material
Description:
This paper presents GraphRex, an efficient, robust, scalable, and easy-to-program framework for graph processing on datacenter infrastructure. To users, GraphRex presents a declarative, Datalog-like interface that is natural and expressive. Underneath, it compiles those queries into efficient implementations. A key technical contribution of GraphRex is the identification and optimization of a set of global operators whose efficiency is crucial to the good performance of datacenter-based, large graph analysis. Our experimental results show that GraphRex significantly outperforms existing frameworks-both high- and low-level-in scenarios ranging across a wide variety of graph workloads and network conditions, sometimes by two orders of magnitude