We consider the case of a set of energy harvesting edge nodes, equipped with photovoltaic panels that implement some kind of monitoring service. To ensure that the service operates in an optimal way, nodes have sometimes offload some of their data to other nodes. We show that this kind of task offloading (migration) can improve service performance by avoiding temporary interruptions and prolonging the overall service lifetime. We present a centralized algorithm based on Linear Programming optimization problem solution and a distributed implementation.

A Load Balancing Algorithm For Long-Life Green Edge Systems / Beraldi, Roberto; Mattia, Gabriele Proietti. - (2023), pp. 42-51. (Intervento presentato al convegno 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) tenutosi a Naples; Italy) [10.1109/cloudcom59040.2023.00020].

A Load Balancing Algorithm For Long-Life Green Edge Systems

Beraldi, Roberto
;
Mattia, Gabriele Proietti
2023

Abstract

We consider the case of a set of energy harvesting edge nodes, equipped with photovoltaic panels that implement some kind of monitoring service. To ensure that the service operates in an optimal way, nodes have sometimes offload some of their data to other nodes. We show that this kind of task offloading (migration) can improve service performance by avoiding temporary interruptions and prolonging the overall service lifetime. We present a centralized algorithm based on Linear Programming optimization problem solution and a distributed implementation.
2023
2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
Green Edge Computing; Load Balancing; Lifespan; Decentralization;
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Load Balancing Algorithm For Long-Life Green Edge Systems / Beraldi, Roberto; Mattia, Gabriele Proietti. - (2023), pp. 42-51. (Intervento presentato al convegno 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) tenutosi a Naples; Italy) [10.1109/cloudcom59040.2023.00020].
File allegati a questo prodotto
File Dimensione Formato  
Beraldi_postprint_A-Load-Balancing_2023.pdf

accesso aperto

Note: 10.1109/CloudCom59040.2023.00020
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.36 MB
Formato Adobe PDF
1.36 MB Adobe PDF
Baraldi_A-Load_2023.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.25 MB
Formato Adobe PDF
1.25 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1707176
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact