메뉴 건너뛰기




Volumn , Issue , 2017, Pages 253-256

Predicting Latency of Blockchain-Based Systems Using Architectural Modelling and Simulation

Author keywords

Distributed databases; Software architecture; Software performance

Indexed keywords

DECISION MAKING; SOFTWARE ARCHITECTURE;

EID: 85021409356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSA.2017.22     Document Type: Conference Paper
Times cited : (95)

References (12)
  • 2
    • 84989278930 scopus 로고    scopus 로고
    • Cryptocurrencies, smart contracts, and artificial intelligence
    • S. Omohundro, "Cryptocurrencies, smart contracts, and artificial intelligence, " AI matters, vol. 1, no. 2, pp. 19-21, 2014.
    • (2014) AI Matters , vol.1 , Issue.2 , pp. 19-21
    • Omohundro, S.1
  • 6
    • 55249125447 scopus 로고    scopus 로고
    • The Palladio component model for model-driven performance prediction
    • S. Becker, H. Koziolek, and R. Reussner, "The Palladio component model for model-driven performance prediction, " Journal of Systems and Software, vol. 82, no. 1, pp. 3-22, 2009.
    • (2009) Journal of Systems and Software , vol.82 , Issue.1 , pp. 3-22
    • Becker, S.1    Koziolek, H.2    Reussner, R.3
  • 11
    • 12344313285 scopus 로고    scopus 로고
    • Best practices in business process redesign: An overview and qualitative evaluation of successful redesign heuristics
    • H. A. Reijers and S. L. Mansar, "Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics, " Omega, vol. 33, no. 4, pp. 283-306, 2005.
    • (2005) Omega , vol.33 , Issue.4 , pp. 283-306
    • Reijers, H.A.1    Mansar, S.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.