Queue-Length-Based Offloading for Delay Sensitive Applications in Federated Cloud-Edge-Fog Systems

Ren Hung Hwang, Yuan Cheng Lai, Ying Dar Lin

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

1 Scopus citations

Abstract

Delay-sensitive applications demand ultra-low latency, which can be achieved by leveraging edge and fog computing to provide computation services closer to users. However, the server capacity limitation of edge and fog computing necessitates offloading to balance the computation load across cloud, edge, and fog servers. While previous works typically focus on the average delay of users' requests and employ probabilistic offloading schemes based on certain probabilities, our study introduces a novel approach that considers the QoS violating probability and offloads users' requests based on the queue length of computing servers. We propose an approximate model with closed-form solutions to determine the near-optimal offloading thresholds of the queue lengths at fog and edge servers. Although the performance results of the approximate queueing model do not precisely match the simulation results, our numerical findings demonstrate that they share the same trend, and the approximate queueing model can provide the optimal queue length threshold in most cases. Moreover, our numerical results reveal that the QoS violating probability of the queue-length-based offloading is significantly lower than that of the probabilistic offloading scheme, with potential reductions of up to 60% in QoS violations in large-scale network scenarios.

Original languageEnglish
Title of host publication2024 IEEE 21st Consumer Communications and Networking Conference, CCNC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages406-411
Number of pages6
ISBN (Electronic)9798350304572
DOIs
StatePublished - 2024
Event21st IEEE Consumer Communications and Networking Conference, CCNC 2024 - Las Vegas, United States
Duration: 6 Jan 20249 Jan 2024

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
ISSN (Print)2331-9860

Conference

Conference21st IEEE Consumer Communications and Networking Conference, CCNC 2024
Country/TerritoryUnited States
CityLas Vegas
Period6/01/249/01/24

Keywords

  • cloud-edge-fog
  • federation
  • offloading
  • queueing analysis

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