Abstract
Graph data management and mining became a popular area of research, and led to the development of plethora of systems in recent years. Unfortunately, a number of emerging graph analysis systems assume different graph data models, and support different query interface and serialization formats. Such diversity, combined with a lack of comparisons, makes it complicated to understand the trade-offs between different systems and the graph operations for which they are designed. This study presents an evaluation of graph pattern matching capabilities of six graph analysis systems, by extending the Lehigh University Benchmark to investigate the degree of effectiveness to perform the same operation over the same graph in various graph analysis systems. Through the evaluation, this study reveals both quantitative and qualitative findings.
| Original language | English |
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| Title of host publication | HPDC 2016 - Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 263-266 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450343145 |
| DOIs | |
| State | Published - May 31 2016 |
| Event | 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2016 - Kyoto, Japan Duration: May 31 2016 → Jun 4 2016 |
Publication series
| Name | HPDC 2016 - Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing |
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Conference
| Conference | 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2016 |
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| Country/Territory | Japan |
| City | Kyoto |
| Period | 05/31/16 → 06/4/16 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).