Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement
Authors: 
Rickard Brännvall, Tina Stark, Jonas Gustafsson, Mats Eriksson, Jon SummersAuthors Info & Claims
Rickard Brännvall, Tina Stark, Jonas Gustafsson, Mats Eriksson, Jon SummersAuthors Info & ClaimsPages 79 - 84
Abstract
This article investigates the problem of where to place the computation workload in an edge-cloud network topology considering the trade-off between the location-specific cost of computation and data communication. For this purpose, a Monte Carlo simulation model is defined that accounts for different workload types, their distribution across time and location, as well as correlation structure. Results confirm and quantify the intuition that optimization can be achieved by distributing a part of cloud computation to make efficient use of resources in an edge data center network, with operational energy savings of 4–6% and up to 50% reduction in its claim for cloud capacity.
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Index Terms
- Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement
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Published In
June 2023
157 pages
ISBN:9798400702273
DOI:10.1145/3599733
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Published: 28 June 2023
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