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Browse Conference Publications > System Sciences (HICSS), 2010 ... Help

Scalable Analysis of Massive Graphs on a Parallel Data Flow System

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1 Author(s)
Yoo, A. ; Center for Appl. Sci. Comput., Lawrence Livermore Nat. Lab., Livermore, CA, USA

The feasibility of using dataflow systems for running complex graph queries is studied in this paper. A general query optimization framework for parallel dataflow systems is also proposed. The proposed methods are used to optimize a suite of benchmark queries, and their effectiveness is evaluated. The performance of the optimized queries is measured on an actual parallel dataflow machine using a large semantic graph and compared to that of equivalent SQL queries on a high-end parallel relational database system. The study has revealed that dataflow system can achieve significant performance improvement over state-of-art database systems and can be a viable and scalable alternative to run large complex graph queries.

Published in:
System Sciences (HICSS), 2010 43rd Hawaii International Conference on

Date of Conference: 5-8 Jan. 2010

Page(s):
1 - 6
ISSN :
1530-1605
E-ISBN :
978-1-4244-5510-2
Print ISBN:
978-1-4244-5509-6
INSPEC Accession Number:
11203916
Conference Location :
Honolulu, HI
Digital Object Identifier :
10.1109/HICSS.2010.325

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