ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud

Isabelly Rocha; Gabriel Vinha; Andrey Brito; Pascal Felber; Marcelo Pasin; Valerio Schiavoni

ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud

Distributed, Parallel, and Cluster Computing 2019-10-09 v1

Authors: Isabelly Rocha , Gabriel Vinha , Andrey Brito , Pascal Felber , Marcelo Pasin , Valerio Schiavoni

Abstract

This paper presents our preliminary results with ABEONA, an edge-to-cloud architecture that allows migrating tasks from low-energy, resource-constrained devices on the edge up to the cloud. Our preliminary results on artificial and real world datasets show that it is possible to execute workloads in a more efficient manner energy-wise by scaling horizontally at the edge, without negatively affecting the execution runtime.

Keywords

edge-to-cloud architecture task migration energy-aware computing resource-constrained devices horizontal scaling

Cite

@article{arxiv.1910.03445,
  title  = {ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud},
  author = {Isabelly Rocha and Gabriel Vinha and Andrey Brito and Pascal Felber and Marcelo Pasin and Valerio Schiavoni},
  journal= {arXiv preprint arXiv:1910.03445},
  year   = {2019}
}

Comments

European Commission Project: LEGaTO - Low Energy Toolset for Heterogeneous Computing (EC-H2020-780681)

ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud

Abstract

Keywords

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