2023 Articolo in conferenza

A Load Balancing Algorithm For Long-Life Green Edge Systems

G. Proietti Mattia, R. Beraldi

2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

Scarica PDF DOI: 10.1109/CloudCom59040.2023.00020

photovoltaic systems computers cloud computing load management linear programming

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.

Citazione

Proietti Mattia, G., & Beraldi, R. (2023). A Load Balancing Algorithm For Long-Life Green Edge Systems. 2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 42–51. https://doi.org/10.1109/CloudCom59040.2023.00020

BibTeX

@inproceedings{2023BeraldiALoadBalancing,
  title = {A Load Balancing Algorithm For Long-Life Green Edge Systems},
  author = {Proietti Mattia, Gabriele and Beraldi, Roberto},
  year = {2023},
  month = dec,
  booktitle = {2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, CA, USA},
  pages = {42--51},
  doi = {10.1109/CloudCom59040.2023.00020},
  url = {https://doi.ieeecomputersociety.org/10.1109/CloudCom59040.2023.00020},
  keywords = {photovoltaic systems;computers;cloud computing;load management;linear programming;energy harvesting;task analysis}
}