Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics

Iosup, Alexandru; Capotă, Mihai; Hegeman, Tim; Guo, Yang; Ngai, Wing Lung; Vărbănescu, Ana Lucia; Verstraaten, Merijn

doi:10.1007/978-3-319-20233-4_11

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2015

2023

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Cited by 4 publications

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“…Our vision is to address these and other [6,9] methodological and practical challenges in Graphalytics, a benchmarking effort that assembles expertise from the Linked Data Benchmark Council (LDBC) and the Standard Performance Evaluation Corporation (SPEC) communities. Toward creating an universal benchmark for graph-processing platforms, in this work our contribution is two-fold:…”

Section: Introductionmentioning

confidence: 99%

Graphalytics

Capotă

Hegeman

Iosup

et al. 2015

Proceedings of the GRADES'15

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Graphs are increasingly used in industry, governance, and science. This has stimulated the appearance of many and diverse graph-processing platforms. Although platform diversity is beneficial, it also makes it very challenging to select the best platform for an application domain or one of its important applications, and to design new and tune existing platforms. Continuing a long tradition of using benchmarking to address such challenges, in this work we present our vision for Graphalytics, a big data benchmark for graphprocessing platforms. We have already benchmarked with Graphalytics a variety of popular platforms, such as Giraph, GraphX, and Neo4j.

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Section: Introductionmentioning

confidence: 99%