A task-level adaptive MapReduce framework for real-time streaming data in healthcare applications

Future Generation Computer Systems

Volumn 43-44, Issue , 2015, Pages 149-160

  Zhang, Fan ^a,b   Cao, Junwei ^c   Khan, Samee U ^d   Li, Keqin ^e   Hwang, Kai ^f  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c TSINGHUA UNIVERSITY   (China)

^d North Dakota State University   (United States)

^e STATE UNIVERSITY OF NEW YORK   (United States)

^f University of Southern California ^*  (United States)

Author keywords

Adaptive; Big data; Healthcare scientific applications; Kalman filter; MapReduce; Parallel processing

Indexed keywords

BIG DATA; HEALTH CARE; REAL TIME SYSTEMS;

ADAPTIVE; HEALTH CARE APPLICATION; MAP-REDUCE; MAPREDUCE FRAMEWORKS; PARALLEL PROCESSING; SCIENTIFIC APPLICATIONS; WORKLOAD CHARACTERISTICS; WORKLOAD PREDICTIONS;

KALMAN FILTERS;

EID: 84911421195     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2014.06.009     Document Type: Article

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