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A Framework for Mathematical Optimization in Microservice Architectures

Stefan Guericke(stefan.guericke***at***gmail.com)
Andrea Cassioli(andrea.cassioli***at***maersk.com)

Abstract: In the last years, the gap between solution methods in literature and optimization running in production has increased. Agile development practices, DevOps and modern cloud-based infrastructure call for a revisit of how optimization software is developed. We review the state-of-the-art, propose a development framework that can be applied across different programming languages and modeling frameworks and test it with a relevant optimization use-case. The framework enables optimization experts to focus on solution methods while having the tools to deploy a scalable and reusable optimization application using the latest technologies and thus, increase the acceptance in industry.

Keywords: mathematical optimization, microservices, cloud computing

Category 1: Optimization Software and Modeling Systems

Category 2: Optimization Software and Modeling Systems (Optimization Software Design Principles )

Category 3: Applications -- OR and Management Sciences

Citation:

Download: [PDF]

Entry Submitted: 11/06/2019
Entry Accepted: 11/06/2019
Entry Last Modified: 11/06/2019

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