Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks

Dongho Ham; Yeongjin Kim; Jeongho Kwak

doi:10.1109/SECON58729.2023.10287464

Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks

Dongho Ham
, Yeongjin Kim
, Jeongho Kwak

Department of Electrical Engineering and Computer Science

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

2 Scopus citations

Abstract

Service caching has been emerging as a key technology that can overcome the hardware limitations of mobile devices by leasing resources from mobile edge computing (MEC) servers. This technology is inherently different from content caching where caching performance can be maximized by caching the most popular contents since most of the services require workload processing from CPU/GPU in servers. Thereby caching the most popular services on the MEC server may not be the best choice. Besides, when the service caching system is designed together with code offloading policy, the problem becomes more difficult because two control parameters are tightly intertwined with each other. In this paper, we formulate an average cost minimization problem of mobile devices constrained by service queue stability in a three-layer (mobile/MEC/cloud) network architecture. We apply a statistic-based dynamic optimization framework to derive an online-fashioned interTWined Interplay between Storage and Transmission, namely TWIST algorithm that jointly makes decisions of service caching, CPU/GPU clock frequency of mobile devices, and code offloading. Next, via theoretical analysis, we show the trade-off relationships between average cost of mobile devices and service delay. Finally, extensive simulations demonstrate that TWIST can save up to 51% of cost for the same delay 2.41sec. compared to the existing algorithms.

Original language	English
Title of host publication	2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023
Publisher	IEEE Computer Society
Pages	339-347
Number of pages	9
ISBN (Electronic)	9798350300529
DOIs	https://doi.org/10.1109/SECON58729.2023.10287464
State	Published - 2023
Event	20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023 - Madrid, Spain Duration: 11 Sep 2023 → 14 Sep 2023

Publication series

Name	Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
Volume	2023-September
ISSN (Print)	2155-5486
ISSN (Electronic)	2155-5494

Conference

Conference	20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023
Country/Territory	Spain
City	Madrid
Period	11/09/23 → 14/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Access to Document

10.1109/SECON58729.2023.10287464

Cite this

Ham, D., Kim, Y., & Kwak, J. (2023). Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks. In 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023 (pp. 339-347). (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 2023-September). IEEE Computer Society. https://doi.org/10.1109/SECON58729.2023.10287464

Ham, Dongho ; Kim, Yeongjin ; Kwak, Jeongho. / Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks. 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023. IEEE Computer Society, 2023. pp. 339-347 (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops).

@inproceedings{e2fecfce17d145ea8b74f6caa55ae8d2,

title = "Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks",

abstract = "Service caching has been emerging as a key technology that can overcome the hardware limitations of mobile devices by leasing resources from mobile edge computing (MEC) servers. This technology is inherently different from content caching where caching performance can be maximized by caching the most popular contents since most of the services require workload processing from CPU/GPU in servers. Thereby caching the most popular services on the MEC server may not be the best choice. Besides, when the service caching system is designed together with code offloading policy, the problem becomes more difficult because two control parameters are tightly intertwined with each other. In this paper, we formulate an average cost minimization problem of mobile devices constrained by service queue stability in a three-layer (mobile/MEC/cloud) network architecture. We apply a statistic-based dynamic optimization framework to derive an online-fashioned interTWined Interplay between Storage and Transmission, namely TWIST algorithm that jointly makes decisions of service caching, CPU/GPU clock frequency of mobile devices, and code offloading. Next, via theoretical analysis, we show the trade-off relationships between average cost of mobile devices and service delay. Finally, extensive simulations demonstrate that TWIST can save up to 51\% of cost for the same delay 2.41sec. compared to the existing algorithms.",

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year = "2023",

doi = "10.1109/SECON58729.2023.10287464",

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Ham, D, Kim, Y & Kwak, J 2023, Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks. in 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023. Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops, vol. 2023-September, IEEE Computer Society, pp. 339-347, 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023, Madrid, Spain, 11/09/23. https://doi.org/10.1109/SECON58729.2023.10287464

Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks. / Ham, Dongho; Kim, Yeongjin; Kwak, Jeongho.
2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023. IEEE Computer Society, 2023. p. 339-347 (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops; Vol. 2023-September).

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

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AU - Ham, Dongho

AU - Kim, Yeongjin

AU - Kwak, Jeongho

PY - 2023

Y1 - 2023

N2 - Service caching has been emerging as a key technology that can overcome the hardware limitations of mobile devices by leasing resources from mobile edge computing (MEC) servers. This technology is inherently different from content caching where caching performance can be maximized by caching the most popular contents since most of the services require workload processing from CPU/GPU in servers. Thereby caching the most popular services on the MEC server may not be the best choice. Besides, when the service caching system is designed together with code offloading policy, the problem becomes more difficult because two control parameters are tightly intertwined with each other. In this paper, we formulate an average cost minimization problem of mobile devices constrained by service queue stability in a three-layer (mobile/MEC/cloud) network architecture. We apply a statistic-based dynamic optimization framework to derive an online-fashioned interTWined Interplay between Storage and Transmission, namely TWIST algorithm that jointly makes decisions of service caching, CPU/GPU clock frequency of mobile devices, and code offloading. Next, via theoretical analysis, we show the trade-off relationships between average cost of mobile devices and service delay. Finally, extensive simulations demonstrate that TWIST can save up to 51% of cost for the same delay 2.41sec. compared to the existing algorithms.

AB - Service caching has been emerging as a key technology that can overcome the hardware limitations of mobile devices by leasing resources from mobile edge computing (MEC) servers. This technology is inherently different from content caching where caching performance can be maximized by caching the most popular contents since most of the services require workload processing from CPU/GPU in servers. Thereby caching the most popular services on the MEC server may not be the best choice. Besides, when the service caching system is designed together with code offloading policy, the problem becomes more difficult because two control parameters are tightly intertwined with each other. In this paper, we formulate an average cost minimization problem of mobile devices constrained by service queue stability in a three-layer (mobile/MEC/cloud) network architecture. We apply a statistic-based dynamic optimization framework to derive an online-fashioned interTWined Interplay between Storage and Transmission, namely TWIST algorithm that jointly makes decisions of service caching, CPU/GPU clock frequency of mobile devices, and code offloading. Next, via theoretical analysis, we show the trade-off relationships between average cost of mobile devices and service delay. Finally, extensive simulations demonstrate that TWIST can save up to 51% of cost for the same delay 2.41sec. compared to the existing algorithms.

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BT - 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023

PB - IEEE Computer Society

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Y2 - 11 September 2023 through 14 September 2023

ER -

Ham D, Kim Y, Kwak J. Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks. In 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2023. IEEE Computer Society. 2023. p. 339-347. (Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops). doi: 10.1109/SECON58729.2023.10287464

Dynamic Interplay Between Service Caching and Code Offloading in Mobile-Edge-Cloud Networks

Abstract

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