Searching for optimal configurations within large-scale models: a cloud computing domain

Lina Ochoa, Oscar González-Rojas, Mauricio Verano, Harold Castro

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    5 Citations (Scopus)

    Abstract

    Feature modeling is a widely accepted variability modeling technique for supporting decision-making scenarios, by representing decisions as features. However, there are scenarios where domain concepts have multiple implementation alternatives that have to be analyzed from large-scale data sources. Therefore, a manual selection of an optimal solution from within the alternatives space or even the complete representation of the domain is an unsuitable task. To solve this issue, we created a feature modeling metamodel and two specific processes to represent domain and implementation alternative models, and to search for optimal solutions whilst considering a set of optimization objectives. We applied this approach to a cloud computing case study and obtained an optimal provider configuration for deploying a JEE application. © Springer International Publishing AG 2016.
    Original languageEnglish
    Title of host publicationAdvances in Conceptual Modeling
    Subtitle of host publicationER 2016 Workshops, AHA, MoBiD, MORE-BI, MReBA, QMMQ, SCME, and WM2SP, Gifu, Japan, November 14–17, 2016, Proceedings
    EditorsS. Link, J.C. Trujillo
    Place of PublicationDordrecht
    PublisherSpringer
    Pages65-75
    Number of pages11
    ISBN (Electronic)978-3-319-47717-6
    ISBN (Print)978-3-319-47716-9
    DOIs
    Publication statusPublished - 2016
    Event35th International Conference on Conceptual Modeling (ER 2016) - Gifu, Japan
    Duration: 14 Nov 201617 Nov 2016
    Conference number: 35
    http://er2016.cs.titech.ac.jp/

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9975 LNCS

    Conference

    Conference35th International Conference on Conceptual Modeling (ER 2016)
    Abbreviated titleER 2016
    Country/TerritoryJapan
    CityGifu
    Period14/11/1617/11/16
    Internet address

    Keywords

    • Big data
    • Cloud
    • Conceptual modeling
    • Decision-making

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