Optimizing distributed networking with big data scheduling and cloud computing

Wenbo Zhu

doi:10.1117/12.2642577

28 July 2022 Optimizing distributed networking with big data scheduling and cloud computing

Wenbo Zhu

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230306 (2022) https://doi.org/10.1117/12.2642577
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

With the rapid transformation of computer hardware and algorithms, mobile networking has evolved from low datacarrying capacity and high latency to better-optimized networks, either by enhancing the digital network or using different approaches to reduce network traffic. This paper discusses the big data applications and scheduling in the distributed networking and analyzes the opportunities and challenges of data management systems. The analysis shows that the big data scheduling in the cloud computing environment produces the most efficient way to transfer and synchronize data. Since scheduling problems and cloud models are very complex to analyze in different settings, we set it to the typical software defined networks. The development of cloud management models and coflow scheduling algorithm is proved to be the priority of the digital communications and networks development in the future.

Citation Download Citation

Wenbo Zhu "Optimizing distributed networking with big data scheduling and cloud computing", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230306 (28 July 2022); https://doi.org/10.1117/12.2642577

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