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MELOGRAPH: Multi-engine WorkfLOw graph processing

Camelia Elena Ciolac (Institutionen för data- och informationsteknik (Chalmers))
Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT 2016; Bordeaux; France; 15 March 2016 (1613-0073). Vol. 1558 (2016),
[Konferensbidrag, refereegranskat]

This paper introduces MELOGRAPH, a new system that exposes in the front-end a domain specific language(DSL) for graph processing tasks and in the back-end identifies, ranks and generates source code for the top-N ranked engines. This approach lets the specialized MELOGRAPH be part of a more general multi-engine workflow optimizer. The candidate execution engines are chosen from the contemporaneous Big Data ecosystem: graph databases (e.g. Neo4j, TitanDB, OrientDB, Sparksee/DEX) and robust graph processing frameworks with Java API or packaged libraries of algorithms (e.g. Giraph, Okapi, Flink Gelly, Hama, Gremlin). As MELOGRAPH is work in progress, our current paper stresses upon the state of the art in this field, provides a general architecture and some early implementation insights.

Nyckelord: Big Data ecosystem; Graph processing tasks; Multi-engine workflow

Denna post skapades 2016-07-06. Senast ändrad 2016-09-08.
CPL Pubid: 239098


Institutioner (Chalmers)

Institutionen för data- och informationsteknik (Chalmers)


Data- och informationsvetenskap

Chalmers infrastruktur