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State Space Exploration for Planning Reconfigurations in Cloud-native Systems

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2023

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Gesellschaft für Informatik e.V.

Zusammenfassung

Current self-adaptive systems do a poor job of coordinating their reconfigurations, and those that provide coordination capabilities offer few facilities to under stand how the system decides on its behavior. In this paper, we outline a state graph, the central artifact of a new approach for a self-adaptive system which utilizes simulations provided by Slingshot to decide on adaptations. Slingshot is a simulator on the Palladio ecosystem. We describe the structure of the state graph and its usage in our self-adaptive system approach. We further discuss technical challenges for Slingshot that need to be solved to implement the envisioned self-adaptive system.

Beschreibung

Ege, Florian; Höppner, Stefan; Tichy, Matthias; Stieß, Sarah (2023): State Space Exploration for Planning Reconfigurations in Cloud-native Systems. Softwaretechnik-Trends Band 43, Heft 1. Gesellschaft für Informatik e.V.. ISSN: 0720-8928

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