• An Analysis of Distributed Pro...

Treffer: An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing

Title:
An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing
Authors:
Corbellini, Alejandro, Godoy, Daniela Lis, Mateos Diaz, Cristian Maximiliano, Schiaffino, Silvia Noemi, Zunino Suarez, Alejandro Octavio
Publisher Information:
Taylor & Francis
Collection:
CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas)
Subject Terms:
DISTRIBUTED GRAPH-PROCESSING FRAMEWORKS, LARGE-SCALE GRAPHS, PROGRAMMING MODELS, https://purl.org/becyt/ford/1.2, https://purl.org/becyt/ford/1
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
Relation:
https://hdl.handle.net/11336/141318; CONICET Digital; CONICET
Availability:
https://hdl.handle.net/11336/141318
Rights:
info:eu-repo/semantics/restrictedAccess ; https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Accession Number:
edsbas.552E4A1A
Database:
BASE

Weitere Informationen

In recent years, processing and analysing large graphs has become a major need in many research areas. Distributed graph processing programming models and frameworks arised as a natural solution to process linked data of large volumes, such as data originating from social media. These solutions are distributed by design and help developers to perform operations on the graph, sometimes reaching almost real-time performance even on huge graphs. Some of the available graph processing frameworks exploit generic data processing models, like MapReduce, while others were specifically built for graph processing, introducing techniques such as vertex or edge partitioning and graph-oriented programming models. In this work, we analyse the properties of recent and widely popular frameworks–from the perspective of the adopted programming model–designed to process large-scale graphs with the goal of assisting software developers/designers in choosing the most adequate tool. ; Fil: Corbellini, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina ; Fil: Godoy, Daniela Lis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina ; Fil: Mateos Diaz, Cristian Maximiliano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina ; Fil: Schiaffino, Silvia Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. ...