Smart City Gnosys
Smart city article details
| Title | The Role Of Cloud Computing In Real-Time Big Data Analytics For Smart Cities And Infrastructure Automation |
|---|---|
| ID_Doc | 56515 |
| Authors | Sarpal S.S.; Kumar V.M.; Pimplapure V.; Patil S.; Marathe V.; Henrietta H.M. |
| Year | 2024 |
| Published | 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024 |
| DOI | http://dx.doi.org/10.1109/ICCCNT61001.2024.10725303 |
| Abstract | With the enhancement of Big Data and Smart Cities, Cloud Computing has emerged as an advanced technology. Innovative city operations require real-time processing of vast volumes of data from various sources like sensors, IOT devices, or social media so that it can be analyzed and acted on in real-time with better automation for its infrastructure against different parameters. This article examines the potential of cloud computing to enable real-time big data analytics for smart cities and infrastructure automation. The cloud allows for real-time big data analytics, collecting input from disparate sources across a business ecosystem and analyzing it immediately for actionable insights. The need for large amounts of data combined with the nature of many Iota devices necessitates processing and storage at scale, a task uniquely suited to cloud computing due to its ability to provide scalability, flexibility, and lower cost essential qualities in building intelligent cities or automated infrastructure. Cloud computing offers a space for shared data and collaborative analysis, allowing the city government to open up its vast browser-based datasets so that other agencies (both within government and outside it), researchers, and even citizens can access this information, in turn driving innovation or assisting with strategic planning. Moreover, the evolution not just in cloud-based machine learning and artificial intelligence algorithms but also device-side AI/ML allows for predictive analytics, which can be helpful to preemptively discern potential failures to prevent them pro-actively, thus augmenting city operations efficacy as well as resource utilization besides operational efficiency of infrastructural management. Cloud computing is integral for real-time and big data analytics and innovates cities, organizations, and infrastructure. © 2024 IEEE. |
| Author Keywords | Automation; Infrastructure; Intelligent; Organizations; Parameters |
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