This paper presents a consensus-based distributed solution for orchestrating microservices at the Edge. Our approach aims to distribute workloads among Edge nodes while ensuring trust and, at the same time, robust decision-making in a distributed log system. The proposed framework enhances the benefits of distributed systems for functionalities traditionally centralized, enabling trust through the use of consensus. We present the details of our solution and then we evaluate its performance.

Distributed Resource Orchestration at the Edge Based on Consensus

Morabito G.
;
Ficara A.;Celesti A.;Fazio M.
2024-01-01

Abstract

This paper presents a consensus-based distributed solution for orchestrating microservices at the Edge. Our approach aims to distribute workloads among Edge nodes while ensuring trust and, at the same time, robust decision-making in a distributed log system. The proposed framework enhances the benefits of distributed systems for functionalities traditionally centralized, enabling trust through the use of consensus. We present the details of our solution and then we evaluate its performance.
2024
Inglese
Inglese
CEUR Workshop Proceedings
CEUR-WS
Aachen
GERMANIA
no
3785
34
43
10
2nd Special Track on Big Data and High-Performance Computing, BigHPC 2024
ita
2024
Internazionale
no
Consensus; Edge Computing; Microservices; Orchestration; Raft
no
none
Morabito, G.; Ficara, A.; Celesti, A.; Fazio, M.
4
14.d Contributo in Atti di Convegno::14.d.3 Contributi in extenso in Atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3319031
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