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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
249Network Performance Aware Graph Partitioning
7.7.5 DistributeD graPh Partitioning algorithms
Prior to the network bandwidth aware framework described in the previous sec-
tions, distributed graph partitioning [24,47,52] was the traditional way of reducing
data shufing in distributed graph processing. The commonly used distributed graph
processing algorithms are multilevel algorithms [44,46,73], which are also used in
the partitioning algorithm described in this chapter. They have been proved efcient
in many applications.
7.7.6 the metis Framework
A highly popular tool Metis [47] is a multilevel graph partitioning framework whose
implementation is fast, robust, and easy to use. The multilevel graph partitioning
framework contains three ...
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Publisher Resources

ISBN: 9781466581500