HiCom: A Hyper-ICN Architecture for Computing Power Network in Edge

The ubiquitous computing power resources of diverse devices and platforms are expected to be interconnected to deal with the rapidly increasing data processing demand at the network edge, whereas they face essential challenges such as computing resource discovery and management. In this article, we propose HiCom, a novel Computing Power Network (CPN) architecture based on Information-Centric Networking (ICN), to enable edge servers and end devices to complete computing tasks on demand in a cooperative, automated, and dynamic manner. Specifically, HiCom features three innovative designs. Firstly, HiCom leverages integrated yet differentiated management of heterogeneous CPN resources in the control plane, by utilizing a multi-dimensional naming space to match different resource features. Secondly, HiCom ensures prompt result returns despite uncertainties in service processing times and transmission path variations, by integrating IP’s destination-determined routing into the service mechanism. Thirdly, HiCom supports computing tasks with data dependencies of sub-services through multiserver coordination, by employing a Directed Acyclic Graph (DAG)-based scheduling mechanism. The developed prototype demonstrates HiCom’s advantages over representative IP-based and ICN-based schemes, including enhanced stability and lower latency for task execution in dynamic edge scenarios.

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Publication Details

Journal
IEEE Network
Published
2025-03-19
DOI
https://doi.org/10.1109/mnet.2025.3552988
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
0.00

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article

HiCom: A Hyper-ICN Architecture for Computing Power Network in Edge

Gang Peng, Li Yang, Hongbin Luo, Thian Yew Gan et al.
IEEE Network
Caching and Content Delivery
article

HiCom: A Hyper-ICN Architecture for Computing Power Network in Edge

Gang Peng, Li Yang, Hongbin Luo, Thian Yew Gan, Shan Zhang, Zhiyuan Wang, Xiang Li, Huaxia Xiong
article en

Abstract

The ubiquitous computing power resources of diverse devices and platforms are expected to be interconnected to deal with the rapidly increasing data processing demand at the network edge, whereas they face essential challenges such as computing resource discovery and management. In this article, we propose HiCom, a novel Computing Power Network (CPN) architecture based on Information-Centric Networking (ICN), to enable edge servers and end devices to complete computing tasks on demand in a cooperative, automated, and dynamic manner. Specifically, HiCom features three innovative designs. Firstly, HiCom leverages integrated yet differentiated management of heterogeneous CPN resources in the control plane, by utilizing a multi-dimensional naming space to match different resource features. Secondly, HiCom ensures prompt result returns despite uncertainties in service processing times and transmission path variations, by integrating IP’s destination-determined routing into the service mechanism. Thirdly, HiCom supports computing tasks with data dependencies of sub-services through multiserver coordination, by employing a Directed Acyclic Graph (DAG)-based scheduling mechanism. The developed prototype demonstrates HiCom’s advantages over representative IP-based and ICN-based schemes, including enhanced stability and lower latency for task execution in dynamic edge scenarios.

IEEE NetworkVol. 40(1)
Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 95%
Caching and Content Delivery
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