Latency minimization with optimum workload distribution and power control for fog computing

Saman Atapattu, Chathuranga Weeraddana, Minhua Ding, Hazer Inaltekin, Jamie Evans

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

7 Citations (Scopus)

Abstract

This paper investigates a three-layer IoT-fog-cloud computing system to determine the optimum workload and power allocation at each layer. The objective is to minimize maximum per-layer latency (including both data processing and transmission delays) with individual power constraints. The resulting optimum resource allocation problem is a mixed-integer optimization problem with exponential complexity. Hence, the problem is first relaxed under appropriate modeling assumptions, and then an efficient iterative method is proposed to solve the relaxed but still non-convex problem. The proposed algorithm is based on an alternating optimization approach, which yields close-to-optimum results with significantly reduced complexity. Numerical results are provided to illustrate the performance of the proposed algorithm compared to the exhaustive search method. The latency gain of three-layer distributed IoT-fog-cloud computing is quantified with respect to fog-only and cloud-only computing systems.

Original languageEnglish
Title of host publication2020 IEEE Wireless Communications and Networking Conference (WCNC)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781728131061
ISBN (Print)9781728131078
DOIs
Publication statusPublished - 2020
Event2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Seoul, Korea, Republic of
Duration: 25 May 202028 May 2020

Publication series

Name
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612

Conference

Conference2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
CountryKorea, Republic of
CitySeoul
Period25/05/2028/05/20

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