TY - GEN
T1 - CC-fog
T2 - 19th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2017
AU - Guibert, Daphné
AU - Wu, Jun
AU - He, Shan
AU - Wang, Meng
AU - Li, Jianhua
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/14
Y1 - 2017/12/14
N2 - E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches are currently used : the fog computing paradigm, which describe the IoT environment in a more relevant way than the cloud vision, provides new performances as low latency, local storage opportunities, end-to-user services. E-health fogs have attracted a lot of attentions. To realize the efficient communication, E-Health systems also introduce Content-Centric Network (CCN) approach, whose characteristics include quick response, content distribution, IoT oriented technology. Nowadays, the existing E-health fog or CCN are seen as separate and autonomous networks, but many applications could require that those E-health fog computing systems exchange data, share processing results, or subscribe to each other information flux. In this paper we propose a solution for E-health systems to communicate by combining fog computing and CCN to provide communication efficiency and local storage opportunities. Finally we use simulation to evaluate the delay performances of our proposal.
AB - E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches are currently used : the fog computing paradigm, which describe the IoT environment in a more relevant way than the cloud vision, provides new performances as low latency, local storage opportunities, end-to-user services. E-health fogs have attracted a lot of attentions. To realize the efficient communication, E-Health systems also introduce Content-Centric Network (CCN) approach, whose characteristics include quick response, content distribution, IoT oriented technology. Nowadays, the existing E-health fog or CCN are seen as separate and autonomous networks, but many applications could require that those E-health fog computing systems exchange data, share processing results, or subscribe to each other information flux. In this paper we propose a solution for E-health systems to communicate by combining fog computing and CCN to provide communication efficiency and local storage opportunities. Finally we use simulation to evaluate the delay performances of our proposal.
KW - CCN
KW - E-health
KW - FOG computing
KW - IoT
UR - http://www.scopus.com/inward/record.url?scp=85048522079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048522079&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2017.8210830
DO - 10.1109/HealthCom.2017.8210830
M3 - Conference contribution
AN - SCOPUS:85048522079
T3 - 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017
SP - 1
EP - 5
BT - 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 October 2017 through 15 October 2017
ER -