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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings
EditorsFrank H.P. Fitzek, Larry Horner, Molka Gharbaoui, Giang Nguyen, Rentao Gu, Tobias Meuser
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-167
Number of pages5
ISBN (Electronic)9798350302547
DOIs
StatePublished - 2023
Event2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Dresden, Germany
Duration: 7 Nov 20239 Nov 2023

Publication series

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

Conference

Conference2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023
Country/TerritoryGermany
CityDresden
Period7/11/239/11/23

Keywords

  • 6G
  • Autonomic Computing
  • Self-adaptive

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