Machine learning techniques are finding many applications in computer systems, including many tasks that require decision making: network optimization, quality of service assurance, and security. We believe machine learning systems are here to stay, and to materialize on their potential we advocate a fresh look at various key issues that need further attention, including security as a requirement and system complexity, and how machine learning systems affect them. We also discuss reproducibility as a key requirement for sustainable machine learning systems, and leads to pursuing it.
@article{arxiv.1911.12593,
title = {Computer Systems Have 99 Problems, Let's Not Make Machine Learning Another One},
author = {David Mohaisen and Songqing Chen},
journal= {arXiv preprint arXiv:1911.12593},
year = {2019}
}
Comments
5 pages; 0 figures; 0 tables. To appear in IEEE TPS 2019 (vision track)