Optimization Services: A Framework for Distributed Optimization

Authors:
Robert Fourer;Jun Ma;Kipp Martin
Affiliations:
Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208;Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208;Booth School of Business, University of Chicago, Chicago, Illinois 60637
Venue:
Operations Research
Year:
2010

Citing 3
Cited 2

Optimization as an Internet Resource

Interfaces
The NEOS Server

IEEE Computational Science & Engineering
OSiL: An instance language for optimization

Computational Optimization and Applications

Optimizing decisions in web services orchestrations

ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Parametric Optimization of Linear and Non-Linear Models via Parallel Computing to Enhance Web-Spatial DSS Interactivity

International Journal of Decision Support System Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a research project to design a distributed optimization environment in which solvers, modeling languages, registries, analyzers, and simulation engines can be implemented as services and utilities under a unified framework. Our work, which we call optimization services or OS, defines standards for all activities necessary to support decentralized optimization on the Internet: representation of optimization instances, results, and solver options; communication between clients and solvers; and discovery and registration of optimization-related software using the concept of Web services. In this paper we place emphasis on issues in distributed computing that are posed by the special character of optimization. We also describe a reference implementation that is freely available as an open-source project of COIN-OR.