TY - GEN
T1 - Cloud of things
T2 - 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
AU - Mohamed, Nader
AU - Lazarova-Molnar, Sanja
AU - Al-Jaroodi, Jameela
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/26
Y1 - 2017/5/26
N2 - Many big cities around the world are planning to adopt the smart city concept to enhance the quality of life for their residents. Smart cities rely on deploying different technologies and optimization techniques to improve the performance and services in transportation, energy, security, and other sectors and to reduce the costs and resources consumption. One of the promising technologies supporting smart city applications is the Cloud of Things (CoT). The CoT can provide a powerful platform for implementing and operating different types of smart city services. Another promising technology that can be used to support and in various cases enhance the CoT for smart cities is Fog Computing. Fog computing can provide platforms that operate geographically close to certain smart city areas to provide value-added features for smart city services. This paper discusses optimization applications and opportunities of using the CoT, supported by fog computing, for providing smart city services. We attempt to identify the requirements for implementing such services, and recognize the issues and challenges to be resolved to achieve better utilization of the CoT in optimizing smart city services.
AB - Many big cities around the world are planning to adopt the smart city concept to enhance the quality of life for their residents. Smart cities rely on deploying different technologies and optimization techniques to improve the performance and services in transportation, energy, security, and other sectors and to reduce the costs and resources consumption. One of the promising technologies supporting smart city applications is the Cloud of Things (CoT). The CoT can provide a powerful platform for implementing and operating different types of smart city services. Another promising technology that can be used to support and in various cases enhance the CoT for smart cities is Fog Computing. Fog computing can provide platforms that operate geographically close to certain smart city areas to provide value-added features for smart city services. This paper discusses optimization applications and opportunities of using the CoT, supported by fog computing, for providing smart city services. We attempt to identify the requirements for implementing such services, and recognize the issues and challenges to be resolved to achieve better utilization of the CoT in optimizing smart city services.
KW - Cloud of things
KW - Fog computing
KW - Optimization
KW - Smart cities
UR - http://www.scopus.com/inward/record.url?scp=85021404536&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85021404536&partnerID=8YFLogxK
U2 - 10.1109/ICMSAO.2017.7934875
DO - 10.1109/ICMSAO.2017.7934875
M3 - Conference contribution
AN - SCOPUS:85021404536
T3 - 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
BT - 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 April 2017 through 6 April 2017
ER -
