JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

Computing aware network (CAN): a systematic design of computing and network convergence

Author(s): Xiaoyun WANG, Xiaodong DUAN, Kehan YAO, Tao SUN, Peng LIU, Hongwei YANG, Zhiqiang LI
Affiliation(s): China Mobile Communications Corporation, Beijing 100032, China; more
Corresponding email(s): wangxiaoyun@chinamobile.com, suntao@chinamobile.com
Key Words: Network architecture; Computing aware network, Computing and network convergence

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Xiaoyun WANG, Xiaodong DUAN, Kehan YAO, Tao SUN, Peng LIU, Hongwei YANG, Zhiqiang LI. Computing aware network (CAN): a systematic design of computing and network convergence[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2400098

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author="Xiaoyun WANG, Xiaodong DUAN, Kehan YAO, Tao SUN, Peng LIU, Hongwei YANG, Zhiqiang LI",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2400098"
}

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%T Computing aware network (CAN): a systematic design of computing and network convergence
%A Xiaoyun WANG
%A Xiaodong DUAN
%A Kehan YAO
%A Tao SUN
%A Peng LIU
%A Hongwei YANG
%A Zhiqiang LI
%J Frontiers of Information Technology & Electronic Engineering
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%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2400098"

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T1 - Computing aware network (CAN): a systematic design of computing and network convergence
A1 - Xiaoyun WANG
A1 - Xiaodong DUAN
A1 - Kehan YAO
A1 - Tao SUN
A1 - Peng LIU
A1 - Hongwei YANG
A1 - Zhiqiang LI
J0 - Frontiers of Information Technology & Electronic Engineering
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PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/FITEE.2400098"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: The coverage of network resources is increasingly extensive, and computing resources have likewise gradually become fundamental infrastructures, providing ubiquitous computing services. However, in wide area networks, the underlying network and computing resources are not closely investigated or co-designed, and there are still problems reflected in slow computing service scheduling, inflexible data distribution, and inefficient data transmission. This paper proposes the architectural design of a Computing Aware Network (CAN), with the core contribution of introducing the awareness plane to collect, manage, and synthesize computing and network information. In this way, the awareness plane, control plane, and data plane are formed as a closed-loop control system to improve the overall system’s awareness capability, decision-making capability, and data forwarding functionality. To enable the CAN architecture, three key technologies are proposed as follows: computing-aware traffic steering, elastic broadcast, and high throughput wide-area transmission. The paper takes artificial intelligence (AI) model training, inference, and offline parameter transmission as examples to show the applicability of CAN and identifies some future research directions.

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