Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

doi:10.1109/JSAC.2022.3227102

Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

2023-02-01

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DOI：10.1109/JSAC.2022.3227102

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With the development of next-generation wireless networks, the Internet of Things (IoT) is evolving towards the intelligent IoT (iIoT), where intelligent applications usually have stringent delay and jitter requirements. In order to provide low-latency services to heterogeneous users in the emerging iIoT, multi-tier computing was proposed by effectively combining edge computing and fog computing. More specifically, multi-tier computing systems compensate for cloud computing through task offloading and dispersing computing tasks to multi-tier nodes along the continuum from the cloud to things. In this paper, we investigate key techniques and directions for wireless communications and resource allocation approaches to enable task offloading in multi-tier computing systems. A multi-tier computing model, with its main functionality and optimization methods, is presented in detail. We hope that this paper will serve as a valuable reference and guide to the theoretical, algorithmic, and systematic opportunities of multi-tier computing towards next-generation wireless networks.

Keywords:

Task analysis

Cloud computing

Low latency communication

Edge computing

Next generation networking

NOMA

Wireless networks

Intelligent IoT

task offloading

multi-tier computing

resource allocation

Task Offloading With Multi-Tier Computing Resources in Next Generation Wireless Networks

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