TY - GEN
T1 - PIACERE Project
T2 - 2022 Genetic and Evolutionary Computation Conference, GECCO 2022
AU - Osaba, Eneko
AU - Diaz-De-Arcaya, Josu
AU - Orue-Echevarria, Leire
AU - Alonso, Juncal
AU - Lobo, Jesus L.
AU - Benguria, Gorka
AU - Etxaniz, Iñaki
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/7/9
Y1 - 2022/7/9
N2 - 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.
AB - 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.
KW - combinatorial optimization
KW - infrastructure as code
KW - multiobjective optimization
KW - NSGA-II
KW - PIACERE
UR - https://www.scopus.com/pages/publications/85136329469
U2 - 10.1145/3520304.3533938
DO - 10.1145/3520304.3533938
M3 - Conference contribution
AN - SCOPUS:85136329469
T3 - GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference
SP - 71
EP - 72
BT - GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference
PB - Association for Computing Machinery, Inc
Y2 - 9 July 2022 through 13 July 2022
ER -