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Volumn , Issue , 2018, Pages

Cloud-fog interoperability in IoT-enabled healthcare solutions

Author keywords

Cloud computing; Fog computing; HealthCare; Internet of Things; Interoperable architecture

Indexed keywords

CLOUD COMPUTING; COMPUTER ARCHITECTURE; COORDINATION REACTIONS; FOG; GREEN COMPUTING; HEALTH CARE; INTERNET OF THINGS; INTEROPERABILITY; NETWORK ARCHITECTURE;

EID: 85041184156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3154273.3154347     Document Type: Conference Paper
Times cited : (77)

References (24)
  • 7
    • 85010053609 scopus 로고    scopus 로고
    • Smart health solution integrating iot and cloud: A case study of voice pathology monitoring
    • January 2017
    • G. Muhammad and S. M. M. Rahman and A. Alelaiwi and A. Alamri. 2017. Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring. IEEE Communications Magazine 55, 1 (January 2017), 69-73.
    • (2017) IEEE Communications Magazine 55 , vol.1 , pp. 69-73
    • Muhammad, G.1    Rahman, S.M.M.2    Alelaiwi, A.3    Alamri, A.4
  • 9
    • 84992125309 scopus 로고    scopus 로고
    • A novel and secure IoT based cloud centric architecture to perform predictive analysis of users activities in sustainable health centres
    • 01 Sep 2017
    • Gupta, P. K. and Maharaj, B. T. and Malekian, Reza. 2017. A novel and secure IoT based cloud centric architecture to perform predictive analysis of users activities in sustainable health centres. Multimedia Tools and Applications 76, 18 (01 Sep 2017), 18489-18512.
    • (2017) Multimedia Tools and Applications , vol.76 , Issue.18 , pp. 18489-18512
    • Gupta, P.K.1    Maharaj, B.T.2    Reza, M.3
  • 10
    • 84977743996 scopus 로고    scopus 로고
    • Cloud-Assisted Industrial Internet of Things (IIoT) âas Enabled framework for health monitoring
    • (2016) . Industrial Technologies and Applications for the Internet of Things
    • M. Shamim Hossain and Ghulam Muhammad. 2016. Cloud-Assisted Industrial Internet of Things (IIoT) âas Enabled framework for health monitoring. Computer Networks 101, Supplement C (2016), 192-202. Industrial Technologies and Applications for the Internet of Things.
    • (2016) Computer Networks , vol.101 , pp. 192-202
    • Shamim Hossain, M.1    Muhammad, G.2
  • 11
    • 84983550738 scopus 로고    scopus 로고
    • Integrating mobile and cloud for ppg signal selection to monitor heart rate during intensive physical exercise
    • ACM, New York, NY, USA
    • Jindal, Vasu. 2016. Integrating Mobile and Cloud for PPG Signal Selection to Monitor Heart Rate During Intensive Physical Exercise. In In Proceedings of International Conference on Mobile Software Engineering and Systems (MOBILESoft '16). ACM, New York, NY, USA, 36-37.
    • (2016) Proceedings of International Conference on Mobile Software Engineering and Systems (MOBILESoft '16 , pp. 36-37
    • Vasu, J.1
  • 12
    • 85016254273 scopus 로고    scopus 로고
    • Privacy protection and intrusion avoidance for cloudlet-based medical data sharing
    • M. Chen and Y. Qian and J. Chen and K. Hwang and S. Mao and L. Hu. 2017. Privacy Protection and Intrusion Avoidance for Cloudlet-based Medical Data Sharing. IEEE Transactions on Cloud Computing PP, 99 (2017), 1-1.
    • (2017) IEEE Transactions on Cloud Computing PP , vol.99 , Issue.2017 , pp. 1
    • Chen, M.1    Qian, Y.2    Chen, J.3    Hwang, K.4    Mao, S.5    Hu, L.6
  • 18
    • 84946921719 scopus 로고    scopus 로고
    • The internet of things for health care: A comprehensive survey
    • S. M. R. Islam and D. Kwak and M. H. Kabir and M. Hossain and K. S. Kwak. 2015. The Internet of Things for Health Care: A Comprehensive Survey. IEEE Access 3 (2015), 678-708.
    • (2015) IEEE Access , vol.3 , Issue.2015 , pp. 678-708
    • Islam, S.M.R.1    Kwak, D.2    Kabir, M.H.3    Hossain, M.4    Kwak, K.S.5
  • 19
    • 84950137788 scopus 로고    scopus 로고
    • Cloud enabled data analytics and visualization framework for health-shocks prediction
    • Special Issue on Big Data in the Cloud
    • Shahid Mahmud and Rahat Iqbal and Faiyaz Doctor. 2016. Cloud enabled data analytics and visualization framework for health-shocks prediction. Future Generation Computer Systems 65, Supplement C (2016), 169-181. Special Issue on Big Data in the Cloud.
    • (2016) Future Generation Computer Systems , vol.65 , Issue.2016 , pp. 169-181
    • Mahmud, S.1    Iqbal, R.2    Doctor, F.3
  • 24
    • 85018520873 scopus 로고    scopus 로고
    • Health-cps: Healthcare cyber-physical system assisted by cloud and big data
    • (March 2017
    • Y. Zhang and M. Qiu and C. W. Tsai and M. M. Hassan and A. Alamri. 2017. Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data. IEEE Systems Journal 11, 1 (March 2017), 88-95.
    • (2017) IEEE Systems Journal , vol.11 , Issue.1 , pp. 88-95
    • Zhang, Y.1    Qiu, M.2    Tsai, C.W.3    Hassan, M.M.4    Alamri, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.