Net-in-AI: A Computing-Power Networking Framework with Adaptability, Flexibility, and Profitability for Ubiquitous AI

Thumbnail Image
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Degree programme
IEEE NETWORK, Volume 35, issue 1
Along with the unprecedented development of artificial intelligence (AI), a considerable number of intelligent applications are universally recognized to significantly facilitate the evolution of anthropogenic activities. The abundant AI computing power is one of the main pillars to fuel the booming of ubiquitous AI applications. As the computing power proliferates to a multitude of network edges, even end devices, the networking function bridges the gap, on the one hand, among ends-edges-clouds, on the other hand, between the multiple AI computing power and the heterogeneous AI requirements. The emerging new opportunities have spawned the deep integration between computing and networking. However, the complete development of the integrated system is under-addressed, including adaptability, flexibility, and profitability. In this article, we propose a computing-power networking framework for ubiquitous AI by establishing Networking in AI computing-power pool, denoted as Net-in-AI. We design the framework to enable the adaptability for computing-power users, the flexibility for networking, and the profitability for computing-power providers. We then formulate a computing-networking resource allocation problem, with the joint perspective of these three aspects. Experimental results prove the superior performance of the proposed framework in comparison to the current popular schemes.
Funding Information: Acknowledgment This work was supported in part by the National Key R & D Program of China through Grant No. 2019YFB2101901; the National NSFC through Grants No. 62072332 and 62002260; and the China Postdoctoral Science Foundation under Grant No. 2020M670654. This work was also partially supported by the European Union Horizon 2020 Research and Innovation Program through the MonB5G Project under Grant No. 871780; the Academy of Finland Project CSN under Grant Agreement 311654; and the 6Genesis project under Grant No. 318927. Publisher Copyright: © 1986-2012 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved. | openaire: EC/H2020/871780/EU//MonB5G
Other note
Wang, X, Ren, X, Qiu, C, Cao, Y, Taleb, T & Leung, V C M 2021, ' Net-in-AI : A Computing-Power Networking Framework with Adaptability, Flexibility, and Profitability for Ubiquitous AI ', IEEE NETWORK, vol. 35, no. 1, 9293089, pp. 280-288 .