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Apache Giraph

Apache Giraph is an Apache project to perform graph processing on big data. Giraph utilizes Apache Hadoop's MapReduce implementation to process… 
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Related topics

Related topics

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Apache HadoopApache SparkBulk synchronous parallelGremlin

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Transformations on Graph Databases for Polyglot Persistence with NotaQL
Polyglot-persistence applications use a combination of many different data stores. Often, one of them is a graph database to… 
2017
2017
Computation of K-Core Decomposition on Giraph
Graphs are an essential data structure that can represent the structure of social networks. Many online companies, in order to… 
2017
2017
k-core Decomposition on Giraph and GraphChi
The analysis of characteristics of large-scale graphs has shown tremendous benefits in social networks, spam detection, epidemic… 
Review
2017
Review
2017
A Review on Large Scale Graph Processing Using Big Data Based Parallel Programming Models
Processing big graphs has become an increasingly essential activity in various fields like engineering, business intelligence and… 
2016
2016
Supporting property graphs in apache giraph
Apache Giraph is a powerful tool for processing very large graphs in distributed environments. One of its main features is a… 
2016
2016
Memory-Optimized Distributed Graph Processing through Novel Compression Techniques
A multitude of contemporary applications now involve graph data whose size continuously grows and this trend shows no signs of… 
2015
2015
A scalable graph pattern matching engine on top of Apache Giraph Master Thesis in Parallel and Distributed Computer Systems
Many applications are switching to a graph representation of their data in order to take advantage of the connections that exist… 
2015
2015
Detecting Communities over Large Scale Graph Structure Data using MapReduce
With the appearances of the internet there is growing interest in executing analysis tasks over large scale graph structure data… 
2015
2015
NPEPE: Massive Natural Computing Engine for Optimally Solving NP-complete Problems in Big Data Scenarios
Networks of Evolutionary Processors (NEP) is a bio-inspired computational model defining theoretical computing devices able to… 
Review
2013
Review
2013
Viability of the bulk synchronous parallel model for science on cloud
In recent years, cloud computing has emerged as an alternative to classical HPC resources like supercomputers, computer clusters… 
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