Latency-Aware Virtual Network Embedding using Clusters for Green Fog Computing

Kopras, Bartosz; Idzikowski, Filip; Chen, Wei-Che; Wang, Te-Jen; Chou, Chun-Ting; Bogucka, Hanna

doi:10.1109/gcwkshps50303.2020.9367485

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Only some works featured some aspects of energy-awareness but did not consider carbon footprint or relied on simple linear models for energy consumption (e.g. [2,17,23,25]). To the best of our knowledge, [1] is the first work including carbon emissions in the trade-off analyses to determine optimal Cloud-IoT application placements, via mixed integer linear programming.…”

Section: Relatedmentioning

confidence: 99%

“…Fog, Edge computing [7] -have been proposed to improve on the Quality of Service (QoS) of emerging latency-sensitive and bandwidth-hungry applications. As highlighted by some authors [22,17], those paradigms can also represent greener alternatives to the Cloud paradigm as they can exploit pervasive and possibly idle computational devices closer to the IoT, thus improving on energy efficiency of those idle resources and reducing unnecessary data transfer from/to the Cloud.…”

Section: Introductionmentioning

confidence: 99%

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Green Application Placement in the Cloud-IoT Continuum

Forti¹,

Brogi²

2021

Preprint

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Green software engineering aims at reducing the environmental impact due to developing, deploying, and managing software systems. Meanwhile, Cloud-IoT paradigms can contribute to improving energy and carbon efficiency of application deployments by (i) reducing the amount of data and the distance they must travel across the network, (ii) by exploiting idle edge devices to support application deployment. In this article, we propose a declarative methodology and its Prolog prototype for determining placements of application services onto Cloud-IoT infrastructures so to optimise energy and carbon efficiency, also considering different infrastructure power sources and operational costs. The proposal is assessed over a motivating example.

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Section: Relatedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Green Application Placement in the Cloud-IoT Continuum

Forti¹,

Brogi²

2021

Preprint

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Green Application Placement in the Cloud-IoT Continuum

Forti

Brogi

2022

Lecture Notes in Computer Science

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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations

Kopras,

Idzikowski,

Bogucka

2024

Sensors

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Fog networking has become an established architecture addressing various applications with strict latency, jitter, and bandwidth constraints. Fog Nodes (FNs) allow for flexible and effective computation offloading and content distribution. However, the transmission of computational tasks, the processing of these tasks, and finally sending the results back still incur energy costs. We survey the literature on fog computing, focusing on energy consumption. We take a holistic approach and look at energy consumed by devices located in all network tiers from the things tier through the fog tier to the cloud tier, including communication links between the tiers. Furthermore, fog network modeling is analyzed with particular emphasis on application scenarios and the energy consumed for communication and computation. We perform a detailed analysis of model parameterization, which is crucial for the results presented in the surveyed works. Finally, we survey energy-saving methods, putting them into different classification systems and considering the results presented in the surveyed works. Based on our analysis, we present a classification and comparison of the fog algorithmic models, where energy is spent on communication and computation, and where delay is incurred. We also classify the scenarios examined by the surveyed works with respect to the assumed parameters. Moreover, we systematize methods used to save energy in a fog network. These methods are compared with respect to their scenarios, objectives, constraints, and decision variables. Finally, we discuss future trends in fog networking and how related technologies and economics shall trade their increasing development with energy consumption.

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Latency-Aware Virtual Network Embedding using Clusters for Green Fog Computing

Cited by 3 publications

References 11 publications

Green Application Placement in the Cloud-IoT Continuum

Green Application Placement in the Cloud-IoT Continuum

Green Application Placement in the Cloud-IoT Continuum

A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations

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