Large-scale ranking and selection using cloud computing

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - Winter Simulation Conference
Pages4046-4056
StatePublished - 2011
Externally publishedYes

Publication series

Name
ISSN (Print)0891-7736

Conference

Title2011 Winter Simulation Conference, WSC 2011
PlaceUnited States
CityPhoenix, AZ
Period11 - 14 December 2011

Abstract

Ranking-and-selection (R&S) procedures are often used to select the best configuration from a set of alternatives, and the set typically has fewer than 500 alternatives. However, there are many R&S or simulation optimization problems having thousands to tens of thousands alternatives. In this paper we discuss how to solve these problems using cloud computing. In particular, we discuss how cloud computing changes the paradigm that is currently used to design R&S procedures, and show a specific procedure that works efficiently under cloud computing. We demonstrate the practical usefulness of our procedure on a simulation optimization problem with more than 2000 feasible solutions using a small-scale cloud of CPUs created by us. © 2011 IEEE.

Citation Format(s)

Large-scale ranking and selection using cloud computing. / Luo, Jun; Hong, L. Jeff.

Proceedings - Winter Simulation Conference. 2011. p. 4046-4056 6148094.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review