Paper Info
Title
MapReduce with Components for Processing Big Graphs
Abstract
BigGraph applications have been mostly implemented with large-scale parallel processing frameworks based on MapReduce. However, it continues to be challenging to meet their particular requirements, even despite the emerging of alternative models, such as Pregel. This paper introduces a component-oriented design for graph processing frameworks, by using HPC Shelf, a component-based cloud computing platform for HPC services.
Year
DOI
Venue
2018
10.1109/WSCAD.2018.00026
2018 Symposium on High Performance Computing Systems (WSCAD)
Keywords
Field
DocType
High Performance Computing,Cloud Computing,Component-Based Software Engineering,Graph Processing
Graph,Supercomputer,Computer science,Parallel processing,Component-based software engineering,Distributed computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-7281-3773-5
0
0.34
References 
Authors
17
2
Name
Order
Citations
PageRank
Cenez AraúJo De Rezende130.75
Francisco Heron de Carvalho-Junior24914.05