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Ja-be-Ja: A Distributed Algorithm for Balanced Graph Partitioning
RISE, Swedish ICT, SICS. Computer Systems Laboratory.
RISE, Swedish ICT, SICS. Computer Systems Laboratory.
RISE, Swedish ICT, SICS. Computer Systems Laboratory.
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Number of Authors: 5
2013 (English)Report (Other academic)
Abstract [en]

Balanced graph partitioning is a well known NP-complete problem with a wide range of applications. These applications include many large-scale distributed problems such as the optimal storage of large sets of graph-structured data over several hosts, or identifying clusters in on-line social networks. In such very large-scale distributed scenarios, state-of-the-art algorithms are not directly applicable, because they typically involve frequent global operations over the entire graph. In this paper, we propose a distributed graph partitioning algorithm, called Ja-be-Ja1. The algorithm is massively parallel: each graph node is processed independently, and only the direct neighbors of the node, and a small subset of random nodes in the graph need to be known. Strict synchronization is not required. These features allow Ja-be-Ja to be easily adapted to any distributed graph-processing system from data centers to fully distributed networks. We perform a thorough experimental analysis, which shows that the minimal edge-cut value achieved by Ja-be-Ja is comparable to state-of-the-art centralized algorithms such as Metis. In particular, on large social networks Ja-be-Ja outperforms Metis.

Place, publisher, year, edition, pages
Kista, Sweden: Swedish Institute of Computer Science , 2013, 7.
SICS Technical Report, ISSN 1100-3154 ; 2013:03
Keyword [en]
graph partitioning, distributed algorithm, load balancing
National Category
Computer and Information Science
URN: urn:nbn:se:ri:diva-24165OAI: diva2:1043244
Available from: 2016-10-31 Created: 2016-10-31

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