| Autor: |
Hany F. Atlam, Robert J. Walters, Gary B. Wills |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Big Data and Cognitive Computing, Vol 2, Iss 2, p 10 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
2504-2289 |
| DOI: |
10.3390/bdcc2020010 |
| Popis: |
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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