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Volumn , Issue , 2018, Pages 1-9

Data Preservation through Fog-to-Cloud (F2C) Data Management in Smart Cities

Author keywords

Data LifeCycle model; Data Management; Data Preservation; Fog to Cloud Data Management; Smart City

Indexed keywords

CLUSTER COMPUTING; DIGITAL STORAGE; EDGE COMPUTING; FOG; FOG COMPUTING; GRID COMPUTING; LIFE CYCLE; SMART CITY;

EID: 85048079798     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CFEC.2018.8358732     Document Type: Conference Paper
Times cited : (27)

References (18)
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    • Toward scalable systems for big data analytics: A technology tutorial
    • H. Hu, Y. Wen, T.-S. Chua, and X. Li, "Toward scalable systems for big data analytics: A technology tutorial, " IEEE access, vol. 2, pp. 652-687, 2014.
    • (2014) IEEE Access , vol.2 , pp. 652-687
    • Hu, H.1    Wen, Y.2    Chua, T.-S.3    Li, X.4
  • 8
    • 85012170641 scopus 로고    scopus 로고
    • Foggy clouds and cloudy fogs: A real need for coordinated management of fog-to-cloud computing systems
    • X. Masip-Bruin, E. Marín-Tordera, G. Tashakor, A. Jukan, and G.-J. Ren, "Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems, " IEEE Wireless Communications, vol. 23, pp. 120-128, 2016.
    • (2016) IEEE Wireless Communications , vol.23 , pp. 120-128
    • Masip-Bruin, X.1    Marín-Tordera, E.2    Tashakor, G.3    Jukan, A.4    Ren, G.-J.5
  • 11
    • 84906841638 scopus 로고    scopus 로고
    • An information framework for creating a smart city through internet of things
    • J. Jin, J. Gubbi, S. Marusic, and M. Palaniswami, "An information framework for creating a smart city through internet of things, " IEEE Internet of Things Journal, vol. 1, pp. 112-121, 2014.
    • (2014) IEEE Internet of Things Journal , vol.1 , pp. 112-121
    • Jin, J.1    Gubbi, J.2    Marusic, S.3    Palaniswami, M.4
  • 13
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    • 85048146224 scopus 로고    scopus 로고
    • D. d'Estadistica. Barcelona statistics, districts and neighborhoods
    • D. d'Estadistica. Barcelona statistics, districts and neighborhoods. Available: http://www. bcn. cat/estadistica/angles/index. htm
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    • Sentilo. Available: http://www. sentilo. io/wordpress/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.