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

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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
Number of pages5
ISBN (electronic)9798350302547
ISBN (print)979-8-3503-0255-4
Publication statusPublished - 9 Nov 2023


Title2023 IEEE Conference on Network Function Virtualization and Software Defined Networks
Abbreviated titleIEEE NFV-SDN 2023
Conference number9
Duration7 - 9 November 2023
Degree of recognitionInternational event
LocationTU Dresden

External IDs

ORCID /0000-0001-7436-0103/work/148605968
ORCID /0000-0003-2571-8441/work/148605977
ORCID /0000-0002-6200-4707/work/148606614
ORCID /0000-0002-0757-3325/work/148607142
Scopus 85180374394
Mendeley 9ab306ac-d74b-3cea-829e-9121e3877b0b



  • 6G mobile communication, Distributed processing, Computer architecture, Real-time systems, Behavioral sciences, Network function virtualization, Time factors, 6G, Autonomic Computing, Self-adaptive