Mobility-aware fog offloading

Ferdous Sharifi, Ali Rasaii, Melika Honarmand, Shaahin Hessabi, Young Choon Lee

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

Fog computing plays a crucial role in bridging resource-constrained internet of things (IoT) devices and distant clouds by processing requests from IoT devices in a timely manner. In this paper, we present the Many-to-One (M2One) offloading algorithm taking into account mobile fog nodes. In particular, M2One identifies a coordinator fog node to distribute those requests to other fog nodes as well as cloud servers. The coordinator node is selected based primarily on computing capacity and signal strength. The actual offloading decisions are made considering computing capacity, queuing delay, transmission and propagation delay, channel status, and battery level of mobile fog nodes. Our evaluation study conducted in a simulated healthcare scenario has demonstrated the effectiveness of M2One. Results show that the proposed algorithm reduces request service delay by 35% on average, compared to that with clouds.

Original languageEnglish
Title of host publication2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages24-29
Number of pages6
ISBN (Electronic)9788995004395
ISBN (Print)9798350317756
Publication statusPublished - 2023
Event24th Asia-Pacific Network Operations and Management Symposium, APNOMS 2023 - Sejong, Korea, Republic of
Duration: 6 Sept 20238 Sept 2023

Publication series

Name
ISSN (Print)2576-8565

Conference

Conference24th Asia-Pacific Network Operations and Management Symposium, APNOMS 2023
Country/TerritoryKorea, Republic of
CitySejong
Period6/09/238/09/23

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