Graphs are becoming more popular day by day. This has lead to the development of different graph-processing platforms, such as Hadoop, Apache Giraph and GraphLab. With this wide variety of graph processing platforms, which one should we choose for a specific use case? Which platform has the best performance? To solve this issue, we can benchmark the different platforms. Our client developed a benchmark suite for graph processing platforms: the LDBC Graphalytics. Users can run the benchmark on the platforms and benchmark result files are generated. This result file contains thousands of lines of information. This makes comparing the benchmark result files not practical. A way to compare the benchmark results easily is to make the platforms c...
Graph algorithms are becoming increasingly important for analyzing large datasets in many fields. Re...
Distributed, shared-nothing architectures of commodity machines are a popular design choice for the ...
We present a graph processing benchmark suite with the goal of helping to standardize graph processi...
Graphs are increasingly used in industry, governance, and science. This has stimulated the appearanc...
Graph-processing platforms are increasingly used in a variety of domains. Although both industry and...
Processing graphs, especially at large scale, is an increasingly use-ful activity in a variety of bu...
htmlabstractGraphs are increasingly used in industry, governance, and science. This has stimulated t...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Abstract—Graph-processing platforms are increasingly used in a variety of domains. Although both ind...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Benchmarking is a process that informs the public about the capabilities of systems-under-test, focu...
This article presents a comparison of the computing performance of the MapReduce tool Hadoop and Gir...
Whenever the term “Big Data” was mentioned, it was often closely associated with technologies like A...
A number of graph processing platforms have emerged recently as a result of the growing demand on gr...
Unlike single-processor benchmarks, multi-processor benchmarks can yield tens of numbers for each be...
Graph algorithms are becoming increasingly important for analyzing large datasets in many fields. Re...
Distributed, shared-nothing architectures of commodity machines are a popular design choice for the ...
We present a graph processing benchmark suite with the goal of helping to standardize graph processi...
Graphs are increasingly used in industry, governance, and science. This has stimulated the appearanc...
Graph-processing platforms are increasingly used in a variety of domains. Although both industry and...
Processing graphs, especially at large scale, is an increasingly use-ful activity in a variety of bu...
htmlabstractGraphs are increasingly used in industry, governance, and science. This has stimulated t...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Abstract—Graph-processing platforms are increasingly used in a variety of domains. Although both ind...
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis pl...
Benchmarking is a process that informs the public about the capabilities of systems-under-test, focu...
This article presents a comparison of the computing performance of the MapReduce tool Hadoop and Gir...
Whenever the term “Big Data” was mentioned, it was often closely associated with technologies like A...
A number of graph processing platforms have emerged recently as a result of the growing demand on gr...
Unlike single-processor benchmarks, multi-processor benchmarks can yield tens of numbers for each be...
Graph algorithms are becoming increasingly important for analyzing large datasets in many fields. Re...
Distributed, shared-nothing architectures of commodity machines are a popular design choice for the ...
We present a graph processing benchmark suite with the goal of helping to standardize graph processi...