How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection

Autor: Omar, Rafiullah, Bogner, Justus, Leest, Joran, Stoico, Vincenzo, Lago, Patricia, Muccini, Henry

ML-enabled systems that are deployed in a production environment typically suffer from decaying model prediction quality through concept drift, i.e., a gradual change in the statistical characteristics of a certain real-world domain. To combat this,

Externí odkaz: http://arxiv.org/abs/2404.19452

Analysis of MAPE-K Loop in Self-adaptive Systems for Cloud, IoT and CPS

Autor: Oh, Jiyoung, Raibulet, Claudia, Leest, Joran, Troya, Javier, Mirandola, Raffaela, Navarro, Elena, Delgado, Andrea, Segura, Sergio, Fernández, Pablo, Ortiz, Guadalupe, Pautasso, Cesare, Zirpins, Christian, Ruiz-Cortés, Antonio

Publikováno v: Oh, J, Raibulet, C & Leest, J 2023, Analysis of MAPE-K Loop in Self-adaptive Systems for Cloud, IoT and CPS . in J Troya, R Mirandola, E Navarro, A Delgado, S Segura, P Fernández, G Ortiz, C Pautasso, C Zirpins & A Ruiz-Cortés (eds), Service-Oriented Computing – ICSOC 2022 Workshops : ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13821 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 130-141, Workshops on ASOCA, AI-PA, FMCIoT, WESOACS 2022, held in Conjunction with the 20th International Conference on Service-Oriented Computing, ICSOC 2022, Seville, Spain, 29/11/22 . https://doi.org/10.1007/978-3-031-26507-5_11
Service-Oriented Computing – ICSOC 2022 Workshops: ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29 – December 2, 2022 Proceedings, 130-141
STARTPAGE=130;ENDPAGE=141;TITLE=Service-Oriented Computing – ICSOC 2022 Workshops
Service-Oriented Computing – ICSOC 2022 Workshops ISBN: 9783031265068

Self-adaptive approaches aim to address the complexity of modern computing generated by the runtime variabilities and uncertainties. In this context, MAPE-K loop is considered today a major approach for the design and implementation of self-adaptive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eedc856f2ead9846ca7d01279b8bfae1
https://doi.org/10.1007/978-3-031-26507-5_11