Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework

Gregor von Laszewski; Wo Chang; Russell Reinsch; Olivera Kotevska; Ali Karimi; Abdul Rahman Sattar; Garry Mazzaferro; Geoffrey C. Fox

arXiv · 2310.17013

Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework

Gregor von Laszewski·Wo Chang·Russell Reinsch·Olivera Kotevska·Ali Karimi·Abdul Rahman Sattar·Garry Mazzaferro·Geoffrey C. Fox

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Abstract

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

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Gregor von Laszewski, Wo Chang, Russell Reinsch, Olivera Kotevska, Ali Karimi, Abdul Rahman Sattar, Garry Mazzaferro, Geoffrey C. Fox. 2023-10-25. Whitepaper on Reusable Hybrid and Multi-Cloud Analytics Service Framework. https://arxiv.org/abs/2310.17013

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