@inproceedings{c2ead7b8af7848d288be23855a0ca956,
title = "X-MAPE: Extending 6G-Connected Self-Adaptive Systems with Reflexive Actions",
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.",
keywords = "6G, Autonomic Computing, Self-adaptive",
author = "M. Liess and J. Demicoli and T. Tiedje and M. Lohrmann and M. Nickel and M. Luniak and D. Prousalis and T. Wild and R. Tetzlaff and D. Gohringer and C. Mayr and K. Bock and S. Steinhorst and A. Herkersdorf",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 ; Conference date: 07-11-2023 Through 09-11-2023",
year = "2023",
doi = "10.1109/NFV-SDN59219.2023.10329602",
language = "English",
series = "2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "163--167",
editor = "Fitzek, {Frank H.P.} and Larry Horner and Molka Gharbaoui and Giang Nguyen and Rentao Gu and Tobias Meuser",
booktitle = "2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, NFV-SDN 2023 - Proceedings",
}