SEARCHING FOR OPTIMAL CONFIGURATIONS WITHIN LARGE-SCALE MODELS: A CLOUD COMPUTING DOMAIN

L. OCHOA, O. GONZÁLEZ-ROJAS, M. VERANO, H. CASTRO

INTERNATIONAL CONFERENCE ON CONCEPTUAL MODELING, 2017

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.

CONTACT

Addrs. Cra. 1 E No. 19A - 40. Mario Laserna Building - School of Engineering, Bogotá, Colombia, Zip 111711, Ph. +(571) 332 4327, 332 4328, 332 4329

Universidad de los Andes | Monitored by Mineducación
Recognition as University: Decree 1297 of May 30th, 1964.
Recognition as legal entity: Resolution 28 of February 23, 1949 Minjusticia.

© Universidad de los Andes. All rights reserved.