An Analytical Study of Computation and Communication Tradeoffs in Distributed Graph

Abdolrashidi, Amirreza and Ramaswamy, Lakshmish (2015) An Analytical Study of Computation and Communication Tradeoffs in Distributed Graph. EAI Endorsed Transactions on Collaborative Computing, 1 (5). e5. ISSN 2312-8623

[thumbnail of eai.17-12-2015.150810.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview


Distributed vertex-centric graph processing systems such as Pregel, Giraph and GPS have acquired significant popularity in recent years. Although the manner in which graph data is partitioned and placed on the computational nodes has considerable impact on the performance of the vertex-centric graph processing cluster, there are very few comprehensive studies on this topic. Towards enhancing our understanding of this important factor, in this paper, we propose a novel model for analyzing the performance of such clusters. Using three graph algorithms as case studies, we also characterize the inherent tradeoff between the computational load distribution and the communication overheads of a BSP cluster. This paper also reports a detailed experimental study investigating the performance of commonly-used graph partitioning mechanisms with respect to their computational load distribution characteristics and the associated communication overheads.

Item Type: Article
Uncontrolled Keywords: Distributed Vertex-Centric Graph Processing, Performance Modeling, Parallel Processing, Graph Partitioning.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 01 Jul 2021 11:54
Last Modified: 01 Jul 2021 11:54

Actions (login required)

View Item
View Item