Osaba, EnekoDiaz-De-Arcaya, JosuOrue-Echevarria, LeireAlonso, JuncalLobo, Jesus L.Benguria, GorkaEtxaniz, Iñaki2024-07-242024-07-242022-07-09Osaba , E , Diaz-De-Arcaya , J , Orue-Echevarria , L , Alonso , J , Lobo , J L , Benguria , G & Etxaniz , I 2022 , PIACERE Project : Description and Prototype for Optimizing Infrastructure as Code Deployment Configurations . in GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference . GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference , Association for Computing Machinery, Inc , pp. 71-72 , 2022 Genetic and Evolutionary Computation Conference, GECCO 2022 , Virtual, Online , United States , 9/07/22 . https://doi.org/10.1145/3520304.3533938conference9781450392686https://hdl.handle.net/11556/2048Publisher Copyright: © 2022 Owner/Author.PIACERE is an European project supported by the Union's Horizon 2020 research and innovation programme, whose objective is to enhance the productivity of DevOps teams in the operation of Infrastructure as Code (IaC) by offering an integrated DevSec-Ops framework. Thus, DevOps practitioners can develop IaC as if they were programming a common software application. In order to achieve this challenging task, one of the core technologies considered within PIACERE will be the design and development of optimization metaheuristics, in a module coined as IaC Optimizer Platform (IOP). The main objective of the IOP is to provide DevSecOps teams with the most appropriate deployment configurations that best fit a set of defined constraints. The goal of this technical paper is to describe the preliminary approach followed in PIACERE for carrying out this optimization, and how the IOP fits into the whole PIACERE ecosystem. Additionally, results obtained in a preliminary experimentation are detailed in this study.2enginfo:eu-repo/semantics/restrictedAccessconference output10.1145/3520304.3533938combinatorial optimizationinfrastructure as codemultiobjective optimizationNSGA-IIPIACEREArtificial IntelligenceSoftwareComputational MathematicsTheoretical Computer Sciencehttp://www.scopus.com/inward/record.url?scp=85136329469&partnerID=8YFLogxK