A survey on Iot security: Application Areas, Security Threats, and Solution Architectures
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thong-tin-so bao-cao-qpsk-1 - [cuuduongthancong.com]
| B. FOG COMPUTING ARCHITECTURE
The main task of fog computing is to handle the data gen- erated by IoT devices locally for better management and thus requires an architecture consisting of different layers. It has two frameworks that are Fog-Device framework and Fog-Cloud-Device framework [120]. The former framework consists of device and fog layer and the latter framework consists of device, fog and cloud layer. The arrangement of layers is done based on their storing and computational powers. The communication between different layers is done using wired (e.g., optical fiber, Ethernet) or wireless communication (e.g., WiFi, Bluetooth, etc.). In Fog-Device framework, the fog nodes provide various services to a user without involving cloud servers. However, in Fog-Cloud- Device framework the simple decisions are taken at the fog layer, whereas, the complex decisions are taken on cloud [121]. The architecture of Fog-Cloud-Device framework is VOLUME x, 2019 13 This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2019.2924045, IEEE Access Vikas Hassija et al.: A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures FIGURE 7: Fog Computing Architecture. shown in Figure 7. The authors of [122] have considered the fog computing architecture theoretically and mathemat- ically while comparing the performance of fog computing paradigm with traditional cloud computing framework based on service latency and energy consumption. Fog computing reduces the data traffic between cloud and network edge by 90% and average response time for a user by 20% when compared with cloud-only model [123]. Authors in [124] have discussed the definition and concept of fog computing in-depth, comparing it with similar concepts such as mobile- edge computing (MEC) and mobile cloud computing (MCC). Authors in [124] have also introduced some applications like real-time video analytics and augmented reality (AR), mobile big data analytics, and content delivery and caching for fog computing. tải về 6.16 Mb. Chia sẻ với bạn bè của bạn:
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