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Window-based streaming graph partitioning algorithm
conference contribution
posted on 2023-05-23, 14:05 authored by Patwary, MAK, Saurabh GargSaurabh Garg, Byeong KangByeong KangIn the recent years, the scale of graph datasets has increased to such a degree that a single machine is not capable of efficiently processing large graphs. Thereby, efficient graph partitioning is necessary for those large graph applications. Traditional graph partitioning generally loads the whole graph data into the memory before performing partitioning; this is not only a time consuming task but it also creates memory bottlenecks. These issues of memory limitation and enormous time complexity can be resolved using stream-based graph partitioning. A streaming graph partitioning algorithm reads vertices once and assigns that vertex to a partition accordingly. This is also called an one-pass algorithm. This paper proposes an efficient window-based streaming graph partitioning algorithm called WStream. The WStream algorithm is an edge-cut partitioning algorithm, which distributes a vertex among the partitions. Our results suggest that the WStream algorithm is able to partition large graph data efficiently while keeping the load balanced across different partitions, and communication to a minimum. Evaluation results with real workloads also prove the effectiveness of our proposed algorithm, and it achieves a significant reduction in load imbalance and edge-cut with different ranges of dataset.
History
Publication title
Proceedings of the 2019 Australasian Computer Science Week Multiconference (ACSW 2019)Pagination
1-10ISBN
978-1-4503-6603-8Department/School
School of Information and Communication TechnologyPublisher
Association for Computing MachineryPlace of publication
United StatesEvent title
2019 Australasian Computer Science Week MulticonferenceEvent Venue
Sydney, AustraliaDate of Event (Start Date)
2019-01-29Date of Event (End Date)
2019-01-31Rights statement
Copyright 2019 Association for Computing MachineryRepository Status
- Restricted