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Volumn 0, Issue 9789811058608, 2018, Pages 103-130

Fog Computing: A taxonomy, survey and future directions

Author keywords

[No Author keywords available]

Indexed keywords

FOG; INTERNET OF THINGS; TAXONOMIES;

EID: 85082363829     PISSN: 21991073     EISSN: 21991081     Source Type: Book Series    
DOI: 10.1007/978-981-10-5861-5_5     Document Type: Chapter
Times cited : (736)

References (47)
  • 1
    • 84988876357 scopus 로고    scopus 로고
    • Chapter 4—fog computing: Principles, architectures, and applications
    • ed. R. Buyya, and A.V. Dastjerdi, New York: Morgan Kaufmann
    • Dastjerdi, A., H. Gupta, R. Calheiros, S. Ghosh, and R. Buyya. 2016. Chapter 4—fog computing: Principles, architectures, and applications. In Internet of Things:Principles andParadigms, ed. R. Buyya, and A.V. Dastjerdi, 61-75. New York: Morgan Kaufmann.
    • (2016) Internet of Things:Principles Andparadigms , pp. 61-75
    • Dastjerdi, A.1    Gupta, H.2    Calheiros, R.3    Ghosh, S.4    Buyya, R.5
  • 2
    • 84961589936 scopus 로고    scopus 로고
    • Theoretical modelling of fog computing: A green computing paradigm to support iot applications
    • Sarkar, S., and S. Misra. 2016. Theoretical modelling of fog computing: A green computing paradigm to support iot applications. IET Networks 5(2): 23-29.
    • (2016) IET Networks , vol.5 , Issue.2 , pp. 23-29
    • Sarkar, S.1    Misra, S.2
  • 9
    • 84981742139 scopus 로고    scopus 로고
    • Fog Computing and Mobile Edge Cloud Gain Momentum Open Fog Consortium
    • Klas, G.I. 2015. Fog Computing and Mobile Edge Cloud Gain Momentum Open Fog Consortium, ETSI MEC and Cloudlets. http://yucianga.info/?p=938.
    • (2015) ETSI MEC and Cloudlets
    • Klas, G.I.1
  • 12
    • 84990190456 scopus 로고    scopus 로고
    • Maximizing quality of experience through context-aware mobile application scheduling in cloudlet infrastructure
    • spe.2392
    • Mahmud, M.R., M. Afrin, M.A. Razzaque, M.M. Hassan, A. Alelaiwi, and M. Alrubaian. 2016. Maximizing quality of experience through context-aware mobile application scheduling in cloudlet infrastructure. Software: Practice and Experience 46(11): 1525-1545. spe.2392.
    • (2016) Software: Practice and Experience , vol.46 , Issue.11 , pp. 1525-1545
    • Mahmud, M.R.1    Afrin, M.2    Razzaque, M.A.3    Hassan, M.M.4    Alelaiwi, A.5    Alrubaian, M.6
  • 20
    • 84998610988 scopus 로고    scopus 로고
    • Joint optimization of task scheduling and image placement in fog computing supported software-defined embedded system
    • Zeng, D., L. Gu, S. Guo, Z. Cheng, and S. Yu. 2016. Joint optimization of task scheduling and image placement in fog computing supported software-defined embedded system. IEEE Transactions on Computers PP(99): 1-11.
    • (2016) IEEE Transactions on Computers , Issue.99 , pp. 1-11
    • Zeng, D.1    Gu, L.2    Guo, S.3    Cheng, Z.4    Yu, S.5
  • 22
    • 84994065420 scopus 로고    scopus 로고
    • Improved throughput for power line communication (Plc) for smart meters using fog computing based data aggregation approach
    • (Sept 2016)
    • Nazmudeen, M.S.H., A.T. Wan, and S.M. Buhari. 2016. Improved throughput for power line communication (plc) for smart meters using fog computing based data aggregation approach. In IEEE International Smart Cities Conference (ISC2), (Sept 2016), 1-4.
    • (2016) IEEE International Smart Cities Conference (ISC2) , pp. 1-4
    • Nazmudeen, M.S.H.1    Wan, A.T.2    Buhari, S.M.3
  • 23
    • 84922575268 scopus 로고    scopus 로고
    • Fog computing and smart gateway based communication for cloud of things
    • International Conference on IEEE (2014)
    • Aazam, M., and E.N. Huh. 2014. Fog computing and smart gateway based communication for cloud of things. In Future Internet of Things and Cloud (FiCloud), International Conference on IEEE (2014), 464-470.
    • (2014) Future Internet of Things and Cloud (Ficloud) , pp. 464-470
    • Aazam, M.1    Huh, E.N.2
  • 34
    • 84963780985 scopus 로고    scopus 로고
    • Energy management-as-a-service over fog computing platform
    • Faruque, M.A.A., and K. Vatanparvar. 2016. Energy management-as-a-service over fog computing platform. IEEE Internet of Things Journal 3(2): 161-169.
    • (2016) IEEE Internet of Things Journal , vol.3 , Issue.2 , pp. 161-169
    • Faruque, M.A.A.1    Vatanparvar, K.2
  • 38
    • 84979609826 scopus 로고    scopus 로고
    • Fog-computing-based radio access networks: Issues and challenges
    • Peng, M., S. Yan, K. Zhang, and C. Wang. 2016. Fog-computing-based radio access networks: Issues and challenges. IEEE Network 30(4): 46-53.
    • (2016) IEEE Network , vol.30 , Issue.4 , pp. 46-53
    • Peng, M.1    Yan, S.2    Zhang, K.3    Wang, C.4
  • 40
    • 85082368918 scopus 로고    scopus 로고
    • Infrastructure deployment and optimization of fog network based onmicrodc and lrpon integration
    • Zhang, W., B. Lin, Q. Yin, and T. Zhao. 2016. Infrastructure deployment and optimization of fog network based onmicrodc and lrpon integration. Peer-to-Peer Networking and Applications 1-13.
    • (2016) Peer-To-Peer Networking and Applications , pp. 1-13
    • Zhang, W.1    Lin, B.2    Yin, Q.3    Zhao, T.4
  • 41
    • 85010075862 scopus 로고    scopus 로고
    • Optimal workload allocation in fogcloud computing towards balanced delay and power consumption
    • Deng, R., R. Lu, C. Lai, T.H. Luan, and H. Liang. 2016. Optimal workload allocation in fogcloud computing towards balanced delay and power consumption. IEEE Internet of Things Journal PP(99): 1-1.
    • (2016) IEEE Internet of Things Journal , Issue.99 , pp. 1-11
    • Deng, R.1    Lu, R.2    Lai, C.3    Luan, T.H.4    Liang, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.