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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Vydané v:	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
Hlavní autori:	Tang, Zhuo, He, Mengsi, Yang, Li, Fu, Zhongming
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2019
Predmet:	Acceleration Big Data Computational modeling Data models dynamic graph Heuristic algorithms incremental computation Iterative algorithms iterative graph algorithm Spark GraphX
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