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BLADYG: A Graph Processing Framework for Large Dynamic Graphs

Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
2017 Big Data Research  
We present bladyg, a block-centric framework that addresses the issue of dynamism in large-scale graphs. We present an implementation of BLADYG on top of akka framework.  ...  Recently, distributed processing of large dynamic graphs has become very popular, especially in certain domains such as social network analysis, Web graph analysis and spatial network analysis.  ...  We consider two kinds of frameworks: (1) graph processing frameworks and (2) frameworks for the processing of large and dynamic graphs. Graph processing frameworks.  ... 
doi:10.1016/j.bdr.2017.05.003 fatcat:b5yc2uy7trainf5ccxe2hdxhci

BLADYG

Sabeur Aridhi, Alberto Montresor, Yannis Velegrakis
2016 Proceedings of the ACM Workshop on High Performance Graph Processing - HPGP '16  
We present bladyg, a block-centric framework that addresses the issue of dynamism in large-scale graphs. We present an implementation of bladyg on top of akka framework.  ...  Recently, distributed processing of large dynamic graphs has become very popular, especially in certain domains such as social network analysis, Web graph analysis and spatial network analysis.  ...  We presented bladyg framework, a block-centric framework that addresses the issue of dynamism in large scale graphs.  ... 
doi:10.1145/2915516.2915525 dblp:conf/hpdc/AridhiMV16 fatcat:sybtzvatmjhrhag42axroqmnim

An experimental survey on big data frameworks

Wissem Inoubli, Sabeur Aridhi, Haithem Mezni, Mondher Maddouri, Engelbert Mephu Nguifo
2018 Future generations computer systems  
This survey is concluded with a presentation of best practices related to the use of the studied frameworks in several application domains such as machine learning, graph processing and real-world applications  ...  Recently proposed frameworks for Big Data applications help to store, analyze and process the data. In this paper, we discuss the challenges of Big Data and we survey existing Big Data frameworks.  ...  Conclusions In this work, we surveyed popular frameworks for large-scale data processing.  ... 
doi:10.1016/j.future.2018.04.032 fatcat:dxl42yu54retblcgttysadacqu