i2Graph: An Incremental Iterative Computation Model for Large Scale Dynamic Graphs

Due to the rapid changes in graph data sets, the mined information will quickly become obsolete, thus the entire data set needs to be re-computed from the beginning, which will result in the waste of computing time and resources. To reduce the cost of such computations, this paper proposes a model c...

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Veröffentlicht in:	2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) S. 654 - 659
Hauptverfasser:	Tang, Zhuo, He, Mengsi, Yang, Li, Fu, Zhongming
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2019
Schlagworte:	Acceleration Big Data Computational modeling Data models dynamic graph Heuristic algorithms incremental computation Iterative algorithms iterative graph algorithm Spark GraphX
Online-Zugang:	Volltext
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