Pregelix: Dataflow-based big graph analytics

Proceedings of the 4th Annual Symposium on Cloud Computing, SoCC 2013

Volumn , Issue , 2013, Pages

  Bu, Yingyi ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COMPUTING; COMPUTATION THEORY; COMPUTER SYSTEMS PROGRAMMING; GRAPH THEORY;

APPLICATION PROGRAMMERS; DATAFLOW; DISTRIBUTED GRAPH ALGORITHMS; DISTRIBUTED SYSTEMS; GRAPH ANALYTICS; GRAPH VERTEX; PROGRAMMING MODELS;

DATA FLOW ANALYSIS;

EID: 84893227347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2523616.2525962     Document Type: Conference Paper

References (4)

1. Giraph. http://giraph.apache.org/.
2. Grzegorz Malewicz et al. Pregel: a system for large-scale graph processing. In SIGMOD, 2010.
3. Vinayak R. Borkar et al. Hyracks: A flexible and extensible foundation for data-intensive computing. In ICDE, 2011.
4. Yucheng Low et al. Distributed GraphLab: A framework for machine learning in the cloud. PVLDB, 2012.