ABEONA: an Architecture for Energy-Aware Task Migrations from the Edge to the Cloud
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- October 2019
- DOI:
- 10.48550/arXiv.1910.03445
- arXiv:
- arXiv:1910.03445
- Bibcode:
- 2019arXiv191003445R
- Keywords:
-
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing
- E-Print:
- European Commission Project: LEGaTO - Low Energy Toolset for Heterogeneous Computing (EC-H2020-780681)