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Volumn 23, Issue 4, 2014, Pages 517-539

Partitioning functions for stateful data parallelism in stream processing

Author keywords

Load balance; Partitioning functions; Stream processing

Indexed keywords

HARDWARE; INFORMATION SYSTEMS;

EID: 84904575349     PISSN: 10668888     EISSN: 0949877X     Source Type: Journal    
DOI: 10.1007/s00778-013-0335-9     Document Type: Article
Times cited : (103)

References (30)
  • 10
    • 84867097696 scopus 로고    scopus 로고
    • A model-based framework for building extensible, high performance stream processing middleware and programming language for IBM InfoSphere streams
    • Gedik, B., Andrade, H.: A model-based framework for building extensible, high performance stream processing middleware and programming language for IBM InfoSphere streams. Softw. Pract. Exp. 42(11), 1363-1391 (2012).
    • (2012) Softw. Pract. Exp. , vol.42 , Issue.11 , pp. 1363-1391
    • Gedik, B.1    Andrade, H.2
  • 19
    • 84904558741 scopus 로고    scopus 로고
    • Retrieved May 2013
    • MurMurHash3. http://code. google. com/p/smhasher/wiki/MurmurHash3 (2013). Retrieved May 2013.
    • (2013) MurMurHash3
  • 27
    • 84904562874 scopus 로고    scopus 로고
    • Retrieved May 2012
    • Storm project. http://storm-project. net/ (2012). Retrieved May 2012.
    • (2012) Storm Project
  • 28
    • 84904555793 scopus 로고    scopus 로고
    • Retr- ieved May 2012
    • StreamBase Systems. http://www. streambase. com (2012). Retr- ieved May 2012.
    • (2012) StreamBase Systems


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.