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Conference Paper Collaborative Local Triangles Counting in a Graph Stream by Using Node Resources
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Authors
Kim Jiyong, Min Ok Gee
Issue Date
2016-01
Citation
International Conference on Information Networking (ICOIN) 2016, pp.469-471
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICOIN.2016.7427161
Abstract
Sever based analysis for local triangles counting cannot handle large scale graph accurately. For accuracy it needs a large amount of memory and it is almost impossible for the server to prepare all. So till now for efficiency the server uses a small amount of memory and finds out the approximate value of local triangles. In this paper we propose the method in which we use edge device resources in order to count local triangles. In this method edge devices collaborate with the server for counting local triangles. It can improve sever-based analysis effectively. Furthermore it can find out the exact number of local triangles.
KSP Keywords
Edge devices, Node resources, Triangles Counting, large-scale