DECA: a Dynamic Energy cost and Carbon emission-efficient Application placement method for Edge Clouds

Ehsan Ahvar (1) , Shohreh Ahvar (2) , Zoltan Adam Mann (3) , Noel Crespi (4, 5, 6) , Joaquin Garcia‐alfaro (4, 5, 7) , Roch Glitho (8)

1 ESIEA - Ecole Supérieure d'Informatique Electronique Automatique [Paris]
2 ISEP - Institut Supérieur d'Electronique de Paris
3 Universität Duisburg-Essen = University of Duisburg-Essen [Essen]
4 IP Paris - Institut Polytechnique de Paris
5 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité
6 TSP - RS2M - Département Réseaux et Services Multimédia Mobiles
7 TSP - RST - Département Réseaux et Services de Télécommunications
8 CIISE - Concordia Institute for Information Systems Engineering

As an increasing amount of data processing is done at the network edge, high energy costs and carbon emission of Edge Clouds (ECs) are becoming significant challenges. The placement of application components (e.g., in the form of containerized microservices) on ECs has an important effect on the energy consumption of ECs, impacting both energy costs and carbon emissions. Due to the geographic distribution of ECs, there is a variety of resources, energy prices and carbon emission rates to consider, which makes optimizing the placement of applications for cost and carbon efficiency even more challenging than in centralized clouds. This paper presents a Dynamic Energy cost and Carbon emission-efficient Application placement method (DECA) for green ECs. DECA addresses both the initial placement of applications on ECs and the re-optimization of the placement using migrations. DECA considers geographically varying energy prices and carbon emission rates as well as optimizing the usage of both network and computing resources at the same time. By combining a prediction-based A* algorithm with Fuzzy Sets technique, DECA makes intelligent decisions to optimize energy cost and carbon emissions. Simulation results show the applicability and performance of DECA.

Mots clés: Edge cloud; Energy consumption; Energy costs; Green computing; Carbon emission; Application placement

Domaines: Réseaux et télécommunications [cs.NI]; Intelligence artificielle [cs.AI]; Réseaux sociaux et d'information [cs.SI]; Sciences de l'environnement

Ehsan Ahvar, Shohreh Ahvar, Zoltan Adam Mann, Noel Crespi, Joaquin Garcia‐alfaro, et al.. DECA: a Dynamic Energy cost and Carbon emission-efficient Application placement method for Edge Clouds. IEEE Access, 2021, 9, pp.70192-70213. ⟨10.1109/ACCESS.2021.3075973⟩. ⟨hal-03208423v2⟩