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Volumn , Issue , 2012, Pages 53-63

Auto-parallelizing stateful distributed streaming applications

Author keywords

Automatic parallelization; Distributed stream processing

Indexed keywords

AUTO-PARALLELIZING; AUTOMATIC PARALLELIZATION; DATA PARALLELISM; DATA TUPLES; DISTRIBUTED STREAMING; EFFICIENT STRATEGY; HIGH THROUGHPUT; LARGE CLUSTERS; LOW LATENCY; PARALLEL SYSTEM; PROGRAMMING MODELS; RUNTIME SYSTEMS; STREAM PROCESSING; STREAMING APPLICATIONS;

EID: 84867568822     PISSN: 1089795X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2370816.2370826     Document Type: Conference Paper
Times cited : (64)

References (26)
  • 19
    • 80052184829 scopus 로고    scopus 로고
    • Large-scale incremental processing using distributed transactions and notifications
    • D. Peng and F. Dabek. Large-scale incremental processing using distributed transactions and notifications. In Operating Systems Design and Implementation (OSDI), 2010.
    • (2010) Operating Systems Design and Implementation (OSDI)
    • Peng, D.1    Dabek, F.2
  • 20
    • 84867566279 scopus 로고    scopus 로고
    • Retrieved July
    • Pig. http://pig.apache.org/Retrieved July, 2012.
    • (2012) Pig
  • 24
    • 84867542294 scopus 로고    scopus 로고
    • Retrieved July
    • Storm. http://storm-project.net/. Retrieved July, 2012.
    • (2012) Storm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.