AKIN a streaming graph partitioning algorithm for distributed graph storage systems

Many graph-related applications face the challenge of managing excessive and ever-growing graph data in a distributed environment. Therefore, it is necessary to consider a graph partitioning algorithm to distribute graph data onto multiple machines as the data comes in. Balancing data distribution a...

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Veröffentlicht in:	2018 18th IEEE ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) S. 183 - 192
Hauptverfasser:	Zhang, Wei, Chen, Yong, Dai, Dong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Piscataway, NJ, USA IEEE Press 01.05.2018 IEEE
Schriftenreihe:	ACM Conferences
Schlagworte:	Computer science Distributed databases distributed system Electronic mail graph database graph partitioning graph storage Heuristic algorithms Measurement Partitioning algorithms distributed system graph database graph partitioning graph storage
ISBN:	1538658151, 9781538658154
Online-Zugang:	Volltext
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