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
Přispěvatelé: Troya, Javier, Mirandola, Raffaela, Navarro, Elena, Delgado, Andrea, Segura, Sergio, Fernández, Pablo, Ortiz, Guadalupe, Pautasso, Cesare, Zirpins, Christian, Ruiz-Cortés, Antonio, Troya, J, Mirandola, R, Navarro, E, Delgado, A, Segura, S, Ortiz, G, Pautasso, C, Zirpins, C, Fernández, P, Ruiz-Cortés, A, Oh, J, Raibulet, C, Leest, J, Software and Sustainability (S2), Network Institute, Software Engineering
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: 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
DOI: 10.1007/978-3-031-26507-5_11
Popis: 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 solutions because it captures in a systematic way the main steps of the adaptation process: (1) Monitor the execution context, (2) Analyze the monitored context, (3) Plan the appropriate adaptation strategy, (4) Execute the adaptation strategy, all these steps using a common Knowledge about the context. Implementations of MAPE-K loops may be particularly complex, domain specific, as well as case study dependent. In this paper, we provide a preliminary analysis of MAPE-K loops in various artifacts in different application domains (i.e., cloud - Hogna and TMA, cyber-physical systems - TRAPP and AMELIA, Internet of Things - DeltaIoT). Our main objective is to outline the similarities and differences among the available implementations of MAPE-K control feedback loops in self-adaptive systems. Additionally, the application domains of the considered examples are highly related, so that solutions in one domain may trigger developments in others. We also provide an insight into MAPE-K loops to enable researchers and practitioners to use, re-use, improve the available solutions.
Databáze: OpenAIRE
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