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Volumn , Issue , 2015, Pages 80-91

Efficient key grouping for near-optimal load balancing in stream processing systems

Author keywords

Data streaming; Key grouping; Load balancing; Stream processing

Indexed keywords

HASH FUNCTIONS; RESOURCE ALLOCATION; SOFTWARE ARCHITECTURE;

EID: 84960952735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2675743.2771827     Document Type: Conference Paper
Times cited : (47)

References (17)
  • 6
    • 84977941093 scopus 로고    scopus 로고
    • DEBS 2013. Grand Challenge. http://www.orgs.ttu.edu/debs2013/index.php?goto=cfchallengedetails.
    • (2013) Grand Challenge
    • DEBS1
  • 8
    • 84904575349 scopus 로고    scopus 로고
    • Partitioning functions for stateful data parallelism in stream processing
    • B. Gedik. Partitioning functions for stateful data parallelism in stream processing. The VLDB Journal, 23(4), 2014.
    • (2014) The VLDB Journal , vol.23 , Issue.4
    • Gedik, B.1
  • 10
    • 84977952256 scopus 로고    scopus 로고
    • Quantile estimation in random-order streams
    • S. Guha and A. McGregor. Quantile estimation in random-order streams. SIAM Journal on Computing, 38(5), 2009.
    • (2009) SIAM Journal on Computing , vol.38 , Issue.5
    • Guha, S.1    McGregor, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.