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Volumn , Issue , 2016, Pages

Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL OPTIMIZATION; ENERGY UTILIZATION; FOG COMPUTING; QUALITY OF SERVICE;

EID: 85015455312     PISSN: 23340983     EISSN: 25766813     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2016.7842341     Document Type: Conference Paper
Times cited : (51)

References (12)
  • 4
    • 84976371915 scopus 로고    scopus 로고
    • Fog computing may help to save energy in cloud computing
    • JALALI, Fatemeh et al. Fog Computing May Help to Save Energy in Cloud Computing. IEEE Journal on Selected Areas in Communications (Volume: PP, Issue: 99). 2016. DOI: 10. 1109/JSAC. 2016. 2545559
    • (2016) IEEE Journal on Selected Areas in Communications , vol.PP , Issue.99
    • Jalali, F.1
  • 5
    • 85184369903 scopus 로고    scopus 로고
    • Foggy clouds and cloudy fogs: A real need for coordinated management of fog-to-cloud (F2C) computing systems
    • in press, preprint version at
    • MASIP-BRUIN, Xavi et al. Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud (F2C) computing systems. IEEE Wireless Communications Magazine, in press, (preprint version at http://www. craax. upc. edu/images/Publications/journals/Fog-tocloud- preprint. pdf).
    • IEEE Wireless Communications Magazine
    • Masip-Bruin, X.1
  • 9
    • 84953720896 scopus 로고    scopus 로고
    • Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing
    • DENG, Ruilong et al. Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing. In: IEEE International Conference on Communications (ICC), 2015. IEEE, 2015. p. 3909-3914.
    • (2015) IEEE International Conference on Communications (ICC), 2015. IEEE , pp. 3909-3914
    • Deng, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.