Over the last several years, the computation landscape for conducting data analytics has completely changed. While in the past, a lot of the activities have been undertaken in isolation by companies, and research institutions, today's infrastructure constitutes a wealth of services offered by a variety of providers that offer opportunities for reuse, and interactions while leveraging service collaboration, and service cooperation. This document focuses on expanding analytics services to develop a framework for reusable hybrid multi-service data analytics. It includes (a) a short technology review that explicitly targets the intersection of hybrid multi-provider analytics services, (b) a small motivation based on use cases we looked at, (c) enhancing the concepts of services to showcase how hybrid, as well as multi-provider services can be integrated and reused via the proposed framework, (d) address analytics service composition, and (e) integrate container technologies to achieve state-of-the-art analytics service deployment
@article{arxiv.2310.17013,
title = {Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework},
author = {Gregor von Laszewski and Wo Chang and Russell Reinsch and Olivera Kotevska and Ali Karimi and Abdul Rahman Sattar and Garry Mazzaferro and Geoffrey C. Fox},
journal= {arXiv preprint arXiv:2310.17013},
year = {2023}
}