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Volumn , Issue , 2014, Pages 270-275

Predicting energy consumption with StreamMine3G

Author keywords

CEP; complex event processing; ESP; event stream processing; fault tolerance; migration; scalability; state management

Indexed keywords

DATA HANDLING; ENERGY UTILIZATION; FAULT TOLERANCE; SCALABILITY; SOFTWARE ARCHITECTURE;

EID: 84903196373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2611286.2611325     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
    • 84903203568 scopus 로고    scopus 로고
    • February, 15th 2014
    • Boost unordered map. http://www.boost.org/doc/libs/1-55-0/doc/html/ unordered.html, February, 15th 2014.
    • Boost Unordered Map
  • 2
    • 84903132930 scopus 로고    scopus 로고
    • February, 15th 2014
    • Esper. http://esper.codehaus.org/, February, 15th 2014.
    • Esper
  • 3
    • 84903166441 scopus 로고    scopus 로고
    • March 2014
    • Hadoop. http://hadoop.apache.org/, March 2014.
    • Hadoop
  • 4
    • 84903142011 scopus 로고    scopus 로고
    • March 2014
    • Storm. http://storm.incubator.apache.org/, March 2014.
    • Storm
  • 5
    • 84903213069 scopus 로고    scopus 로고
    • February, 15th 2014
    • Streammine3g. https://streammine3g.inf.tu-dresden.de/, February, 15th 2014.
    • Streammine3g
  • 7
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Jan.
    • J. Dean and S. Ghemawat. Mapreduce: simplified data processing on large clusters. Commun. ACM, 51(1):107-113, Jan. 2008.
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.