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Volumn , Issue , 2008, Pages 1388-1390

Online failure forecast for fault-tolerant data stream processing

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL COMPONENTS; DATA ENGINEERING; DATA STREAM PROCESSING; FAILURE MANAGEMENT; FAULT-TOLERANT; INTERNATIONAL CONFERENCES; JUST-IN-TIME; LOW OVERHEAD; ON-LINE LEARNING; PREDICTION ACCURACY; RUN-TIME; STREAM PROCESSING;

EID: 52649104821     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2008.4497565     Document Type: Conference Paper
Times cited : (23)

References (6)
  • 1
    • 52649152164 scopus 로고    scopus 로고
    • Internet Traffic Archive
    • Internet Traffic Archive, http://ita.ee.lbl.gov/.
  • 3
    • 52649159582 scopus 로고    scopus 로고
    • K.-L. W. et al. Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. Proc. of VLDB, 2007.
    • K.-L. W. et al. Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. Proc. of VLDB, 2007.
  • 5
    • 34250621863 scopus 로고    scopus 로고
    • Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core
    • N. Jain and et al. Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core. Proc. of SIGMOD, 2006.
    • (2006) Proc. of SIGMOD
    • Jain, N.1    and et, al.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.