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Volumn 8541, Issue , 2014, Pages 181-199

Identifying root causes of web performance degradation using changepoint analysis

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS; ARTIFICIAL INTELLIGENCE; SOCIAL NETWORKING (ONLINE);

EID: 84921798322     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-08245-5_11     Document Type: Article
Times cited : (12)

References (22)
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    • The experimental design for data mining to discover web performance issues in a wide area network
    • Borzemski, L.: The experimental design for data mining to discover web performance issues in a wide area network. Cybernetics and Systems 41(1), 31-45 (2010)
    • (2010) Cybernetics and Systems , vol.41 , Issue.1 , pp. 31-45
    • Borzemski, L.1
  • 3
    • 78649525452 scopus 로고    scopus 로고
    • Time series forecasting of web performance data monitored by MWING multiagent distributed system
    • In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.), Part I. LNCS, Springer, Heidelberg
    • Borzemski, L., Drwal, M.: Time series forecasting of web performance data monitored by MWING multiagent distributed system. In: Pan, J.-S., Chen, S.-M., Nguyen, N.T. (eds.) ICCCI 2010, Part I. LNCS, vol. 6421, pp. 20-29. Springer, Heidelberg (2010)
    • (2010) ICCCI 2010 , vol.6421 , pp. 20-29
    • Borzemski, L.1    Drwal, M.2
  • 4
    • 80053163311 scopus 로고    scopus 로고
    • Knowledge discovery about web performance with geostatistical turning bands method
    • In: Konig, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.), Part II. LNCS, Springer, Heidelberg
    • Borzemski, L., Kaminska-Chuchmala, A.: Knowledge discovery about web performance with geostatistical turning bands method. In: Konig, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part II. LNCS, vol. 6882, pp. 581-590. Springer, Heidelberg (2011)
    • (2011) KES 2011 , vol.6882 , pp. 581-590
    • Borzemski, L.1    Kaminska-Chuchmala, A.2
  • 5
    • 84876590623 scopus 로고    scopus 로고
    • Knowledge engineering relating to spatial web performance forecasting with sequential gaussian simulation method
    • Borzemski, L., Kaminska-Chuchmala, A.: Knowledge engineering relating to spatial web performance forecasting with sequential gaussian simulation method. In: KES, pp. 1439-1448 (2012)
    • (2012) KES , pp. 1439-1448
    • Borzemski, L.1    Kaminska-Chuchmala, A.2
  • 6
    • 60749094546 scopus 로고    scopus 로고
    • Using data mining algorithms in web performance prediction
    • Borzemski, L., Kliber, M., Nowak, Z.: Using data mining algorithms in web performance prediction. Cybernetics and Systems 40(2), 176-187 (2009)
    • (2009) Cybernetics and Systems , vol.40 , Issue.2 , pp. 176-187
    • Borzemski, L.1    Kliber, M.2    Nowak, Z.3
  • 12
    • 0016993835 scopus 로고
    • Using common random numbers in simulation experiments - an approach to statistical analysis
    • Heikes, R.G., Montgomery, D.C., Rardin, R.L.: Using common random numbers in simulation experiments - an approach to statistical analysis. Simulation 27(3), 81-85 (1976)
    • (1976) Simulation , vol.27 , Issue.3 , pp. 81-85
    • Heikes, R.G.1    Montgomery, D.C.2    Rardin, R.L.3
  • 13
    • 84980090975 scopus 로고
    • The distribution of the flora in the alpine zone. 1
    • Jaccard, P.: The distribution of the flora in the alpine zone. 1. New Phytolo-gist 11(2), 37-50 (1912)
    • (1912) New Phytolo-Gist , vol.11 , Issue.2 , pp. 37-50
    • Jaccard, P.1
  • 15
    • 84878648335 scopus 로고    scopus 로고
    • Data-Driven Automated Prediction of Service Level Agreement Violations in Service Compositions
    • Leitner, P., Ferner, J., Hummer, W., Dustdar, S.: Data-Driven Automated Prediction of Service Level Agreement Violations in Service Compositions. Distributed and Parallel Databases 31(3), 447–470 (2013)
    • (2013) Distributed and Parallel Databases , vol.31 , Issue.3 , pp. 447-470
    • Leitner, P.1    Ferner, J.2    Hummer, W.3    Dustdar, S.4
  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.