X-MAPE: Extending 6G-Connected Self-Adaptive Systems with Reflexive Actions

M. Liess, J. Demicoli, T. Tiedje, M. Lohrmann, M. Nickel, M. Luniak, D. Prousalis, T. Wild, R. Tetzlaff, D. Gohringer, C. Mayr, K. Bock, S. Steinhorst, A. Herkersdorf

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Future connected applications require distributed processing on different layers in the network to orchestrate and optimize their behavior. This necessitates a change in the processing architecture, especially regarding the ability to self-adapt to changing circumstances, such as environmental changes or fault scenarios. Self-adaptivity in computing systems was previously often achieved with the MAPE-K concept. However, in real-time and low-latency environments with a distributed, hierarchical processing architecture, the reaction time of the MAPE-K cycle can be limited by its complexity. In this paper, we propose a possible solution to a quicker reaction by introducing X-MAPE: extending self-adaptivity with predefined, configurable, reflexive actions. In essence, X-MAPE aims to construct a low-latency path between monitoring the system and executing actions to influence it, to reflexively react to a changing system state and improving the system's behavior until a more optimal decision can be made in a less time-critical manner. We present possible realizations of this principle on different layers and components of future 6G networks, providing a vision and framework for adaptive computing systems with reflexive reactions.

OriginalspracheEnglisch
Titel2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
Redakteure/-innenFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten163-167
Seitenumfang5
ISBN (elektronisch)9798350302547
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Dresden, Deutschland
Dauer: 7 Nov. 20239 Nov. 2023

Publikationsreihe

Name2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings

Konferenz

Konferenz2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023
Land/GebietDeutschland
OrtDresden
Zeitraum7/11/239/11/23

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