Flood: Elastic streaming MapReduce

Proceedings of the 4th ACM International Conference on Distributed Event-Based Systems, DEBS 2010

Volumn , Issue , 2010, Pages 113-114

  Alves, David ^a   Bizarro, Pedro ^a   Marques, Paulo ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

distributed stream processing; elastic; scalability

Indexed keywords

CLICKSTREAMS; COMPUTING NODES; DENIAL OF SERVICE; DISTRIBUTED DATA STREAM PROCESSING; DSP ENGINES; ELASTIC; FINANCIAL FRAUD; LOAD-SHEDDING; MAP-REDUCE; PERFORMANCE DEGRADATION; RUNTIMES; SCALABLE COMPUTING; STREAM PROCESSING; TIME OF DAY;

DATA PROCESSING; DIGITAL SIGNAL PROCESSORS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; HYDRAULICS; NETWORK SECURITY; SCALABILITY; SOFTWARE ARCHITECTURE;

FINANCIAL DATA PROCESSING;

EID: 77955782254     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1827418.1827445     Document Type: Conference Paper

References (5)

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3. Yang, Hung-chih, Dasdan, Ali, Hsiao, Ruey-Lung, and Parker, D. 2007. Map-reduce-merge: simplified relational data processing on large clusters. Proceedings of the 2007 ACM SIGMOD international conference on Management of data.
4. Arpaci-Dusseau, R, Anderson, E, and Treuhaft, N. 1999. Cluster I/O with River: Making the fast case common. Proceedings of the sixth workshop on I/O in parallel and distributed systems.
5. Shah, M.A, Hellerstein, J.M, Sirish Chandrasekaran, and Franklin, M.J. 2003. Flux: an adaptive partitioning operator for continuous query systems. Proceedings of the 19th International Conference on Data Engineering