IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v58y2010i6p1624-1636.html
   My bibliography  Save this article

Optimization Services: A Framework for Distributed Optimization

Author

Listed:
  • Robert Fourer

    (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208)

  • Jun Ma

    (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208)

  • Kipp Martin

    (Booth School of Business, University of Chicago, Chicago, Illinois 60637)

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.

Suggested Citation

  • Robert Fourer & Jun Ma & Kipp Martin, 2010. "Optimization Services: A Framework for Distributed Optimization," Operations Research, INFORMS, vol. 58(6), pages 1624-1636, December.
  • Handle: RePEc:inm:oropre:v:58:y:2010:i:6:p:1624-1636
    DOI: 10.1287/opre.1100.0880
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.1100.0880
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.1100.0880?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. R. Fourer & H. Gassmann & J. Ma & R. Martin, 2009. "An XML-based schema for stochastic programs," Annals of Operations Research, Springer, vol. 166(1), pages 313-337, February.
    2. Elizabeth D. Dolan & Robert Fourer & Jean-Pierre Goux & Todd S. Munson & Jason Sarich, 2008. "Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server," INFORMS Journal on Computing, INFORMS, vol. 20(4), pages 525-538, November.
    3. Robert Fourer & Jun Ma & Kipp Martin, 2010. "OSiL: An instance language for optimization," Computational Optimization and Applications, Springer, vol. 45(1), pages 181-203, January.
    4. Robert Fourer & Jean-Pierre Goux, 2001. "Optimization as an Internet Resource," Interfaces, INFORMS, vol. 31(2), pages 130-150, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Olivier Cailloux & Tommi Tervonen & Boris Verhaegen & François Picalausa, 2014. "A data model for algorithmic multiple criteria decision analysis," Annals of Operations Research, Springer, vol. 217(1), pages 77-94, June.
    2. Dimitris Kremmydas & M.I. Haque & Stelios Rozakis, 2011. "Enhancing Web-Spatial DSS interactivity with parallel computing: The case of bio-energy economic assessment in Greece," Working Papers 2011-2, Agricultural University of Athens, Department Of Agricultural Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olivier Cailloux & Tommi Tervonen & Boris Verhaegen & François Picalausa, 2014. "A data model for algorithmic multiple criteria decision analysis," Annals of Operations Research, Springer, vol. 217(1), pages 77-94, June.
    2. Arthur M. Geoffrion & Ramayya Krishnan, 2003. "E-Business and Management Science: Mutual Impacts (Part 2 of 2)," Management Science, INFORMS, vol. 49(11), pages 1445-1456, November.
    3. Makowski, Marek, 2005. "A structured modeling technology," European Journal of Operational Research, Elsevier, vol. 166(3), pages 615-648, November.
    4. Andreas Lundell & Jan Kronqvist & Tapio Westerlund, 2022. "The supporting hyperplane optimization toolkit for convex MINLP," Journal of Global Optimization, Springer, vol. 84(1), pages 1-41, September.
    5. Benoît Legat & Oscar Dowson & Joaquim Dias Garcia & Miles Lubin, 2022. "MathOptInterface: A Data Structure for Mathematical Optimization Problems," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 672-689, March.
    6. Yongyang Cai & Kenneth Judd, 2015. "Dynamic programming with Hermite approximation," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 81(3), pages 245-267, June.
    7. Chung, William, 2002. "WWW-WATEMS-GDL: an internet modelling system for energy policy models," Energy, Elsevier, vol. 27(6), pages 569-577.
    8. Young M. Lee & E. Jack Chen, 2002. "BASF Uses a Framework for Developing Web-Based Production-Planning-Optimization Tools," Interfaces, INFORMS, vol. 32(6), pages 15-24, December.
    9. Michael R. Bussieck & Michael C. Ferris & Alexander Meeraus, 2009. "Grid-Enabled Optimization with GAMS," INFORMS Journal on Computing, INFORMS, vol. 21(3), pages 349-362, August.
    10. Manmohan S. Sodhi, 2001. "Applications and Opportunities for Operations Research in Internet-Enabled Supply Chains and Electronic Marketplaces," Interfaces, INFORMS, vol. 31(2), pages 56-69, April.
    11. Arthur M. Geoffrion & Ramayya Krishnan, 2001. "Prospects for Operations Research in the E-Business Era," Interfaces, INFORMS, vol. 31(2), pages 6-36, April.
    12. Elizabeth D. Dolan & Robert Fourer & Jean-Pierre Goux & Todd S. Munson & Jason Sarich, 2008. "Kestrel: An Interface from Optimization Modeling Systems to the NEOS Server," INFORMS Journal on Computing, INFORMS, vol. 20(4), pages 525-538, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:oropre:v:58:y:2010:i:6:p:1624-1636. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.