A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks

Zhenning Wang; Mingze Li; Liang Zhao; Huan Zhou; Ning Wang

doi:10.1109/INFOCOMWKSHPS54753.2022.9798315

A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks

Zhenning Wang, Mingze Li, Liang Zhao, Huan Zhou, Ning Wang

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

This paper jointly considers computation offloading, service caching and resource allocation optimization in a threetier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to Cloud Service Center (CSC) for computation offloading services and paid related fees monthly or yearly, and the CSC provides computation services to subscribed MUs and charges service fees. The problem is formulated as Mixed Integer Non-Linear Programming (MINLP), aiming to meet the delay requirements of MUs while reducing the cost of the CSC. Then, an Asynchronous Advantage Actor-Critic-based (A3C-based) method is proposed to solve the optimization problem. The simulation results show that the proposed A3C-based method significantly outperforms the other baseline methods in various scenarios.

Original language	English (US)
Title of host publication	INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665409261
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798315
State	Published - 2022
Event	2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022 - Virtual, Online, United States Duration: May 2 2022 → May 5 2022

Publication series

Name	INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops

Conference

Conference	2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
Country/Territory	United States
City	Virtual, Online
Period	5/2/22 → 5/5/22

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/INFOCOMWKSHPS54753.2022.9798315

Cite this

Wang, Z., Li, M., Zhao, L., Zhou, H., & Wang, N. (2022). A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798315

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title = "A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks",

abstract = "This paper jointly considers computation offloading, service caching and resource allocation optimization in a threetier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to Cloud Service Center (CSC) for computation offloading services and paid related fees monthly or yearly, and the CSC provides computation services to subscribed MUs and charges service fees. The problem is formulated as Mixed Integer Non-Linear Programming (MINLP), aiming to meet the delay requirements of MUs while reducing the cost of the CSC. Then, an Asynchronous Advantage Actor-Critic-based (A3C-based) method is proposed to solve the optimization problem. The simulation results show that the proposed A3C-based method significantly outperforms the other baseline methods in various scenarios.",

author = "Zhenning Wang and Mingze Li and Liang Zhao and Huan Zhou and Ning Wang",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022 ; Conference date: 02-05-2022 Through 05-05-2022",

year = "2022",

doi = "10.1109/INFOCOMWKSHPS54753.2022.9798315",

language = "English (US)",

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Wang, Z, Li, M, Zhao, L, Zhou, H & Wang, N 2022, A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks. in INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops. INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022, Virtual, Online, United States, 5/2/22. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798315

A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks. / Wang, Zhenning; Li, Mingze; Zhao, Liang et al.
INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc., 2022. (INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks

AU - Wang, Zhenning

AU - Li, Mingze

AU - Zhao, Liang

AU - Zhou, Huan

AU - Wang, Ning

PY - 2022

Y1 - 2022

N2 - This paper jointly considers computation offloading, service caching and resource allocation optimization in a threetier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to Cloud Service Center (CSC) for computation offloading services and paid related fees monthly or yearly, and the CSC provides computation services to subscribed MUs and charges service fees. The problem is formulated as Mixed Integer Non-Linear Programming (MINLP), aiming to meet the delay requirements of MUs while reducing the cost of the CSC. Then, an Asynchronous Advantage Actor-Critic-based (A3C-based) method is proposed to solve the optimization problem. The simulation results show that the proposed A3C-based method significantly outperforms the other baseline methods in various scenarios.

AB - This paper jointly considers computation offloading, service caching and resource allocation optimization in a threetier mobile cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to Cloud Service Center (CSC) for computation offloading services and paid related fees monthly or yearly, and the CSC provides computation services to subscribed MUs and charges service fees. The problem is formulated as Mixed Integer Non-Linear Programming (MINLP), aiming to meet the delay requirements of MUs while reducing the cost of the CSC. Then, an Asynchronous Advantage Actor-Critic-based (A3C-based) method is proposed to solve the optimization problem. The simulation results show that the proposed A3C-based method significantly outperforms the other baseline methods in various scenarios.

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M3 - Conference contribution

AN - SCOPUS:85133919495

T3 - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops

BT - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops

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Wang Z, Li M, Zhao L, Zhou H, Wang N. A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops. Institute of Electrical and Electronics Engineers Inc. 2022. (INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops). doi: 10.1109/INFOCOMWKSHPS54753.2022.9798315

A3C-based Computation Offloading and Service Caching in Cloud-Edge Computing Networks

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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