Research Article
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Year 2019, Volume: 7 , 39 - 43, 24.11.2019

Abstract

References

  • Al Ridhawi, I., Aloqaily, M., Kantarci, B., Jararweh, Y., Mouftah, H.T. (2018). A continuous diversified vehicular cloud service availability framework for smart cities, Computer Networks, 145, 207-218. Alabdulatif, A., Khalil, I., Kumarage, H., Zomaya, A.Y., Yi, X. (2019). Privacy-preserving anomaly detection in the cloud for quality assured decision-making in smart cities, Journal of Parallel and Distributed Computing, 127, 209-223. Araujo, V., Mitra, K., Saguna, S., Ahlund, C. (2019). Performance evaluation of FIWARE: A cloud-based IoT platform for smart cities, Journal of Parallel and Distributed Computing, 132, 250-261. Bangui, H., Rakrak, S., Raghay, S., Buhnova, B. (2018). Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services, Applied Sciences-Basel, 8, 1-20. Barra, S., Castiglione, A., De Marsico, M., Nappi, M., Choo, K.K.R. (2018). Cloud-Based Biometrics (Biometrics as a Service) for Smart Cities, Nations, and Beyond, IEEE Cloud Computing, 5, 92-100. Chen, Y.S., Tsai, Y.T. (2018). A Mobility Management Using Follow-Me Cloud-Cloudlet in Fog-Computing-Based RANs for Smart Cities, Sensors, 18, 1-26. Cheng, B., Solmaz, G., Cirillo, F., Kovacs, E., Terasawa, K., Kitazawa, A. (2018). FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities, IEEE Internet of Things Journal, 5, 696-707. Eirinaki, M., Dhar, S., Mathur, S., Kaley, A., Patel, A., Joshi, A., Shah, D. (2018). A building permit system for smart cities: A cloud-based framework, Computers Environment and Urban Systems, 70, 175-188. Enayet, A., Razzaque, M.A., Hassan, M.M., Alamri, A., Fortino, G. (2018). A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities, IEEE Communications Magazine, 56, 110-117. Esposito, C., Castiglione, A., Frattini, F., Cinque, M., Yang, Y.J., Choo, K.K.R. (2019). On Data Sovereignty in Cloud-Based Computation Offloading for Smart Cities Applications, IEEE Internet of Things Journal, 6, 4521-4535. Han, J., Li, Y.P., Chen, W.F. (2018). A Lightweight And privacy-preserving public cloud auditing scheme without bilinear pairings in smart cities, Computer Standards & Interfaces, 62, 84-97. Hossain, M.S., Muhammad, G., Abdul, W., Song, B., Gupta, B.B. (2018). Cloud-assisted secure video transmission and sharing framework for smart cities, Future Generation Computer Systems-The International Journal of Escience, 83, 596-606. Huang, H., Lu, Z.H., Peng, R., Feng, Z.W., Xuan, X.H., Hung, P.C.K., Huang, S.C. (2019). Efficiently querying large process model repositories in smart city cloud workflow systems based on quantitative ordering relations, Information Sciences, 495, 100-115. Jegadeesan, S., Azees, M., Kumar, P.M., Manogaran, G., Chilamkurti, N., Varatharajan, R., Hsu, C.H. (2019). An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications, Sustainable Cities and Society, 49, 1-7. Khattak, H.A., Farman, H., Jan, B., Din, I.U. (2019). Toward Integrating Vehicular Clouds with IoT for Smart City Services, IEEE Network, 33, 65-71. Kurdi, H., Alshayban, B., Altoaimy, L., Alsalamah, S. (2018). TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds, Wireless Communications & Mobile Computing, 2018, 1-13. Liu, X.J., Lian, X. (2018). Study on Replica Strategy Based on Access Pattern Mining in Smart City Cloud Storage System, Wireless Personal Communications, 103, 519-534. Massobrio, R., Nesmachnow, S., Tchernykh, A., Avetisyan, A., Radchenko, G. (2018). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities, Programming and Computer Software, 44, 181-189. Mazza, D., Pages-Bernaus, A., Tarchi, D., Juan, A.A., Corazza, G.E. (2018). Supporting Mobile Cloud Computing in Smart Cities via Randomized Algorithms, IEEE Systems Journal, 12, 1598-1609. Miao, Y.B., Ma, J.F., Jiang, Q., Li, X., Sangaian, A.K. (2018). Verifiable keyword search over encrypted cloud data in smart city, Computers & Electrical Engineering, 65, 90-101. Muhammed, T., Mehmood, R., Albeshri, A., Katib, I. (2018). UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities, IEEE Access, 6, 32258-32285. Silva, B.N., Khan, M., Jung, C., Seo, J., Muhammad, D., Han, J., Yoon, Y., Han, K. (2018). Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics, Sensors, 18, 1-19. Simon, J., Mester, G. (2018). Critical Overview of the Cloud-Based Internet of Things Pilot Platforms for Smart Cities, Interdisciplinary Description of Complex Systems, 16, 397-407. Sinky, H., Khalfi, B., Hamdaoui, B., Rayes, A. (2019). Adaptive Edge-Centric Cloud Content Placement for Responsive Smart Cities, IEEE Network, 33, 177-183. Sun, D., Li, G.Q., Zhang, Y.Y., Zhu, L.M., Gaire, R. (2019). Statistically managing cloud operations for latency-tail-tolerance in IoT-enabled smart cities, Journal of Parallel and Distributed Computing, 127, 184-195. Wang, P.M., Yang, L.T., Li, J.T. (2018). An Edge Cloud-Assisted CPSS Framework for Smart Cities, IEEE Cloud Computing, 5, 37-46. Yang, J.C., Jiang, B., Song, H.B. (2018). A distributed image-retrieval method in multi-camera system of smart city based on cloud computing, Future Generation Computer Systems-The International Journal of Escience, 81, 244-251.

The Role of Cloud Computing in Smart Cities

Year 2019, Volume: 7 , 39 - 43, 24.11.2019

Abstract

With
smart cities, people's living areas become better and their living standards
rise. People can easily access the information they want and plan accordingly.
In this way, they live a better quality and productive world. They can also
remotely control and direct any smart system at home, in his car or in his
office, regardless of time and location. In addition, thanks to intelligent
systems, government agencies can control different parts of the city as well as
foresee and take precautionary damages. Health, military, industrial,
environmental, agricultural, logistics, transportation systems are realized
with economic and social gains. All these smart systems require infrastructure.
There are many technical and financial needs such as the servers that the
devices that make up the systems can send the data, the servers where these
data will be stored, the maintenance and security of these servers. At this
point, Cloud Computing emerges. Cloud computing, a new generation of topics, is
the general name of Internet-based IT services that can be used by computers
and other devices at any time and provides shared resources among users. With
Cloud Computing, users can access the system from anywhere on the internet.
Cloud Computing is becoming a part of technologies in smart cities with its
success in cost, global scale, speed, performance, efficiency, security and
reliability. With cloud computing, servers, storage areas, databases and
numerous application services are easily accessible over the internet, making
integration of the systems in smart cities and the exchange of information
between them more constructive. In this study, the role of Cloud Computing in
smart cities will be explained. The current literature review will reveal the latest
trends in these two areas. The study is considered to be beneficial for smart
cities technology developers.

References

  • Al Ridhawi, I., Aloqaily, M., Kantarci, B., Jararweh, Y., Mouftah, H.T. (2018). A continuous diversified vehicular cloud service availability framework for smart cities, Computer Networks, 145, 207-218. Alabdulatif, A., Khalil, I., Kumarage, H., Zomaya, A.Y., Yi, X. (2019). Privacy-preserving anomaly detection in the cloud for quality assured decision-making in smart cities, Journal of Parallel and Distributed Computing, 127, 209-223. Araujo, V., Mitra, K., Saguna, S., Ahlund, C. (2019). Performance evaluation of FIWARE: A cloud-based IoT platform for smart cities, Journal of Parallel and Distributed Computing, 132, 250-261. Bangui, H., Rakrak, S., Raghay, S., Buhnova, B. (2018). Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services, Applied Sciences-Basel, 8, 1-20. Barra, S., Castiglione, A., De Marsico, M., Nappi, M., Choo, K.K.R. (2018). Cloud-Based Biometrics (Biometrics as a Service) for Smart Cities, Nations, and Beyond, IEEE Cloud Computing, 5, 92-100. Chen, Y.S., Tsai, Y.T. (2018). A Mobility Management Using Follow-Me Cloud-Cloudlet in Fog-Computing-Based RANs for Smart Cities, Sensors, 18, 1-26. Cheng, B., Solmaz, G., Cirillo, F., Kovacs, E., Terasawa, K., Kitazawa, A. (2018). FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities, IEEE Internet of Things Journal, 5, 696-707. Eirinaki, M., Dhar, S., Mathur, S., Kaley, A., Patel, A., Joshi, A., Shah, D. (2018). A building permit system for smart cities: A cloud-based framework, Computers Environment and Urban Systems, 70, 175-188. Enayet, A., Razzaque, M.A., Hassan, M.M., Alamri, A., Fortino, G. (2018). A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities, IEEE Communications Magazine, 56, 110-117. Esposito, C., Castiglione, A., Frattini, F., Cinque, M., Yang, Y.J., Choo, K.K.R. (2019). On Data Sovereignty in Cloud-Based Computation Offloading for Smart Cities Applications, IEEE Internet of Things Journal, 6, 4521-4535. Han, J., Li, Y.P., Chen, W.F. (2018). A Lightweight And privacy-preserving public cloud auditing scheme without bilinear pairings in smart cities, Computer Standards & Interfaces, 62, 84-97. Hossain, M.S., Muhammad, G., Abdul, W., Song, B., Gupta, B.B. (2018). Cloud-assisted secure video transmission and sharing framework for smart cities, Future Generation Computer Systems-The International Journal of Escience, 83, 596-606. Huang, H., Lu, Z.H., Peng, R., Feng, Z.W., Xuan, X.H., Hung, P.C.K., Huang, S.C. (2019). Efficiently querying large process model repositories in smart city cloud workflow systems based on quantitative ordering relations, Information Sciences, 495, 100-115. Jegadeesan, S., Azees, M., Kumar, P.M., Manogaran, G., Chilamkurti, N., Varatharajan, R., Hsu, C.H. (2019). An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications, Sustainable Cities and Society, 49, 1-7. Khattak, H.A., Farman, H., Jan, B., Din, I.U. (2019). Toward Integrating Vehicular Clouds with IoT for Smart City Services, IEEE Network, 33, 65-71. Kurdi, H., Alshayban, B., Altoaimy, L., Alsalamah, S. (2018). TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds, Wireless Communications & Mobile Computing, 2018, 1-13. Liu, X.J., Lian, X. (2018). Study on Replica Strategy Based on Access Pattern Mining in Smart City Cloud Storage System, Wireless Personal Communications, 103, 519-534. Massobrio, R., Nesmachnow, S., Tchernykh, A., Avetisyan, A., Radchenko, G. (2018). Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities, Programming and Computer Software, 44, 181-189. Mazza, D., Pages-Bernaus, A., Tarchi, D., Juan, A.A., Corazza, G.E. (2018). Supporting Mobile Cloud Computing in Smart Cities via Randomized Algorithms, IEEE Systems Journal, 12, 1598-1609. Miao, Y.B., Ma, J.F., Jiang, Q., Li, X., Sangaian, A.K. (2018). Verifiable keyword search over encrypted cloud data in smart city, Computers & Electrical Engineering, 65, 90-101. Muhammed, T., Mehmood, R., Albeshri, A., Katib, I. (2018). UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities, IEEE Access, 6, 32258-32285. Silva, B.N., Khan, M., Jung, C., Seo, J., Muhammad, D., Han, J., Yoon, Y., Han, K. (2018). Urban Planning and Smart City Decision Management Empowered by Real-Time Data Processing Using Big Data Analytics, Sensors, 18, 1-19. Simon, J., Mester, G. (2018). Critical Overview of the Cloud-Based Internet of Things Pilot Platforms for Smart Cities, Interdisciplinary Description of Complex Systems, 16, 397-407. Sinky, H., Khalfi, B., Hamdaoui, B., Rayes, A. (2019). Adaptive Edge-Centric Cloud Content Placement for Responsive Smart Cities, IEEE Network, 33, 177-183. Sun, D., Li, G.Q., Zhang, Y.Y., Zhu, L.M., Gaire, R. (2019). Statistically managing cloud operations for latency-tail-tolerance in IoT-enabled smart cities, Journal of Parallel and Distributed Computing, 127, 184-195. Wang, P.M., Yang, L.T., Li, J.T. (2018). An Edge Cloud-Assisted CPSS Framework for Smart Cities, IEEE Cloud Computing, 5, 37-46. Yang, J.C., Jiang, B., Song, H.B. (2018). A distributed image-retrieval method in multi-camera system of smart city based on cloud computing, Future Generation Computer Systems-The International Journal of Escience, 81, 244-251.
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Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Murat Dener

Publication Date November 24, 2019
Published in Issue Year 2019Volume: 7

Cite

APA Dener, M. (2019). The Role of Cloud Computing in Smart Cities. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 7, 39-43.