Smart City Gnosys
Smart city article details
| Title | Cloud/Edge Computing For Smart Cities |
|---|---|
| ID_Doc | 14491 |
| Authors | Markavathi J.N.P.; Kesavaraja D. |
| Year | 2021 |
| Published | Blockchain for Smart Cities |
| DOI | http://dx.doi.org/10.1016/B978-0-12-824446-3.00011-9 |
| Abstract | Today, edge computing deals with computation performed at the edge of the networks and devices. General Computing has issues in latency, security, and automatic decision making. In smart cities adding to general computing comes with processing delays in addition to transmission delay. So smart cities process added to cloud/edge computing, which provides a promising way of enabling applications by offering computation and storage resources with low latency. Edge computing reduces the network bandwidth usage by alleviating the transmission of data from end-users to the remote cloud. The edge computing paradigm is characterized primarily by its geodistributed, low latency. In addition to the edge, fog node covers a wide range of devices such as routers, wireless access points, and data centers. In smart cities that infrastructure provides novel security risks and challenges due to centralized cloud. To enable security must protect all devices from attacks by implementing diverse security mechanisms. Security in edge computing is mainly based on the denial of services and privacy leakage. To avoid attacks, we are providing smart contracts through the reduction of need in trusted intermediates, fraud losses as well as reduction of malicious intentions. It must be devised for edge computing enabled in smart cities to ensure user privacy. In smart cities, decision making is based on data combined with analytics to improve decision making. Enabling the resource-intensive and latency-sensitive smart city applications provides a solution for reliable performance of increasing end-users. The surveillance camera in small cities continuously takes images of the cities and requires further processing of these images to determine the wrong activities in smart cities. Edge computing to enable on-demand telecommunication and computing infrastructure helps to assist rescue activities. The major issue of smart cities includes latency, security, and decision making. The requirements of the latency and security in smart cities can be satisfied by edge computing and fog computing. This technique is used to decrease latency and increase security in the smart cities project. © 2021 Elsevier Inc. All rights reserved. |
| Author Keywords | Cloud computing; Cloudlet; Data centers; Edge computing; Internet of things; Smart cities; Smart contracts |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
21732  | 0.927 | Trigka M.; Dritsas E. | Edge And Cloud Computing In Smart Cities | Future Internet, 17, 3 (2025) |
| 21768 | 0.916 | Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S. | Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments | Journal of Information Systems Engineering and Management, 10 (2025) |
| 14400 | 0.911 | Patra M.K.; Sahoo S.; Sahoo B.; Turuk A.K. | Cloud Computing For A Secure Smart City Beyond 5G | Secure and Intelligent IoT-Enabled Smart Cities (2024) |
| 1144 | 0.907 | Chaudhary N.K.; Rath A.; Babbar G.; Verma A.; Sinha S.D.; Mohapatra H. | A Critical Analysis On Edge Computing In Smart City Applications | Risk-Based Approach to Secure Cloud Migration (2025) |
| 10476 | 0.903 | Naets B.; Raes W.; Deville R.; Middag C.; Stevens N.; Minnaert B. | Artificial Intelligence For Smart Cities: Comparing Latency In Edge And Cloud Computing | 2022 IEEE European Technology and Engineering Management Summit, E-TEMS 2022 - Conference Proceedings (2022) |
| 5042 | 0.9 | Upadhyay G.M.; Gupta S. | A Study On Optimal Framework With Fog Computing For Smart City | EAI/Springer Innovations in Communication and Computing (2022) |
| 26746 | 0.898 | Badidi, E; Mahrez, Z; Sabir, E | Fog Computing For Smart Cities' Big Data Management And Analytics: A Review | FUTURE INTERNET, 12, 11 (2020) |
| 54320 | 0.895 | Kumari R.; Kaur K.; Chhabra G.; Bharany S.; Kaushik K. | Systematic Mapping Study On Edge And Fog Computing In Smart Cities: A Comprehensive Review | Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024 (2024) |
| 49733 | 0.894 | Badshah A.; Daud A.; Alhajlah M.; Alsahfi T.; Alshemaimri B.; Ur-Rehman G. | Smart Cities' Big Data: Performance And Cost Optimization With Regional Computing | IEEE Access, 12 (2024) |
| 26752 | 0.893 | Khan M.A. | Fog Computing In 5G Enabled Smart Cities: Conceptual Framework, Overview And Challenges | 5th IEEE International Smart Cities Conference, ISC2 2019 (2019) |