3 research outputs found
Towards a property graph generator for benchmarking
The use of synthetic graph generators is a common practice among
graph-oriented benchmark designers, as it allows obtaining graphs with the
required scale and characteristics. However, finding a graph generator that
accurately fits the needs of a given benchmark is very difficult, thus
practitioners end up creating ad-hoc ones. Such a task is usually
time-consuming, and often leads to reinventing the wheel. In this paper, we
introduce the conceptual design of DataSynth, a framework for property graphs
generation with customizable schemas and characteristics. The goal of DataSynth
is to assist benchmark designers in generating graphs efficiently and at scale,
saving from implementing their own generators. Additionally, DataSynth
introduces novel features barely explored so far, such as modeling the
correlation between properties and the structure of the graph. This is achieved
by a novel property-to-node matching algorithm for which we present preliminary
promising results
The LDBC Graphalytics Benchmark
In this document, we describe LDBC Graphalytics, an industrial-grade
benchmark for graph analysis platforms. The main goal of Graphalytics is to
enable the fair and objective comparison of graph analysis platforms. Due to
the diversity of bottlenecks and performance issues such platforms need to
address, Graphalytics consists of a set of selected deterministic algorithms
for full-graph analysis, standard graph datasets, synthetic dataset generators,
and reference output for validation purposes. Its test harness produces deep
metrics that quantify multiple kinds of systems scalability, weak and strong,
and robustness, such as failures and performance variability. The benchmark
also balances comprehensiveness with runtime necessary to obtain the deep
metrics. The benchmark comes with open-source software for generating
performance data, for validating algorithm results, for monitoring and sharing
performance data, and for obtaining the final benchmark result as a standard
performance report