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MapReduce vs. pipelining counting triangles

 
: Pasarella, E.; Vidal, M.-E.; Zoltan, C.

:
Volltext ()

Pichler, R.:
AMW 2016, Alberto Mendelzon International Workshop on Foundations of Data Management : Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management Panama City, Panama, May 8-10, 2016
Panama City, 2016 (CEUR Workshop Proceedings 1644)
http://ceur-ws.org/Vol-1644/
ISSN: 1613-0073
5 S.
Alberto Mendelzon International Workshop on Foundations of Data Management (AMW) <10, 2016, Panama City>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
In this paper we follow an alternative approach named pipeline, to implement a parallel implementation of the well-known problem of counting triangles in a graph. This problem is especially interesting either when the input graph does not fit in memory or is dynamically generated. To be concrete, we implement a dynamic pipeline of processes and an ad-hoc MapReduce version using the language Go.We explote the ability of Go language to deal with channels and spawned processes. An empirical evaluation is conducted on graphs of different size and density. Observed results suggest that pipeline allows for the implementation of an efficient solution of the problem of counting triangles in a graph, particularly, in dense and large graphs, drastically reducing the execution time with respect to the MapReduce implementation.

: http://publica.fraunhofer.de/dokumente/N-422504.html