期刊目次

加入编委

期刊订阅

添加您的邮件地址以接收即将发行期刊数据:

Open Access Article

Advances in International Computer Science. 2023; 3: (5) ; 21-28 ; DOI: 10.12208/j.aics.20230047.

Cloud computing and fog computing: architecture, technical challenges and future trends
云计算与雾计算:架构、技术挑战和未来趋势

作者: 刘聪 *

合肥工业大学 安徽合肥

*通讯作者: 刘聪,单位:合肥工业大学 安徽合肥;

发布时间: 2023-12-22 总浏览量: 525

摘要

云计算与雾计算是两种新兴计算模式,分别基于大型数据中心和网络边缘,具有弹性可扩展、按需付费、高可靠性、实时性、低延迟等优点。两者在架构上有明显不同,但在某些领域可实现融合发展。未来,云计算和雾计算将共同推动信息技术的发展,在智能家居、医疗、智慧城市等领域发挥重要作用。然而,安全和隐私保护问题日益突出,需要采取严格的安全措施。云计算与雾计算融合发展互补优势明显,潜力巨大,提高数据处理速度和效率,促进新兴应用发展。随着5G等通信技术的发展,云计算与雾计算的融合将进一步释放潜力,推动信息技术发展和社会进步。

关键词: 云计算;雾计算;架构

Abstract

Cloud computing and fog computing are two emerging computing models, which are based on large data centers and network edges respectively. They have the advantages of elastic scalability, pay-as-you-go, high reliability, real-time, and low latency. The two are obviously different in architecture, but they can achieve integrated development in some areas. In the future, cloud computing and fog computing will jointly promote the development of information technology and play an important role in smart homes, medical care, smart cities and other fields. However, security and privacy protection issues are becoming increasingly prominent, requiring strict security measures. The integrated development of cloud computing and fog computing has obvious complementary advantages and huge potential. It can improve data processing speed and efficiency, and promote the development of emerging applications. With the development of communication technologies such as 5G, the integration of cloud computing and fog computing will further unleash its potential and promote the development of information technology and social progress.

Key words: Cloud computing; Fog computing; Architecture

参考文献 References

[1] Sunyaev A, Sunyaev A. Cloud computing[J]. Internet computing: Principles of distributed systems and emerging internet-based technologies, 2020: 195-236.

[2] Varghese B, Wang N, Nikolopoulos D S, et al. Feasibility of fog computing[J]. Handbook of Integration of Cloud Computing, Cyber Physical Systems and Internet of Things, 2020: 127-146.

[3] Kumar V, Laghari A A, Karim S, et al. Comparison of fog computing & cloud computing[J]. Int. J. Math. Sci. Comput, 2019, 1: 31-41.

[4] Alam T. Cloud Computing and its role in the Information Technology[J]. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 2020, 1(2): 108-115.

[5] Puliafito C, Mingozzi E, Longo F, et al. Fog computing for the internet of things: A survey[J]. ACM Transactions on Internet Technology (TOIT), 2019, 19(2): 1-41.

[6] Kunal S, Saha A, Amin R. An overview of cloud‐fog computing: Architectures, applications with security challenges[J]. Security and Privacy, 2019, 2(4): e72.

[7] Tabrizchi H, Kuchaki Rafsanjani M. A survey on security challenges in cloud computing: issues, threats, and solutions[J]. The journal of supercomputing, 2020, 76(12): 9493-9532.

[8] Sabireen H, Neelanarayanan V. A review on fog computing: Architecture, fog with IoT, algorithms and research challenges[J]. Ict Express, 2021, 7(2): 162-176.

[9] Cloud and fog computing platforms for internet of things[M]. CRC Press, 2022.

[10] Qi Q, Tao F. A smart manufacturing service system based on edge computing, fog computing, and cloud computing[J]. IEEE access, 2019, 7: 86769-86777.

[11] Qi Q, Tao F. A smart manufacturing service system based on edge computing, fog computing, and cloud computing[J]. IEEE access, 2019, 7: 86769-86777.

引用本文

刘聪, 云计算与雾计算:架构、技术挑战和未来趋势[J]. 国际计算机科学进展, 2023; 3: (5) : 21-28.