State Space Exploration for Planning Reconfigurations in Cloud-native Systems
| dc.contributor.author | Ege, Florian | |
| dc.contributor.author | Höppner, Stefan | |
| dc.contributor.author | Tichy, Matthias | |
| dc.contributor.author | Stieß, Sarah | |
| dc.contributor.editor | Herrmann, Andrea | |
| dc.date.accessioned | 2024-02-22T10:37:53Z | |
| dc.date.available | 2024-02-22T10:37:53Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | 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. | en |
| dc.identifier.issn | 0720-8928 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43655 | |
| dc.language.iso | en | |
| dc.pubPlace | Bonn | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Softwaretechnik-Trends Band 43, Heft 1 | |
| dc.relation.ispartofseries | Softwaretechnik-Trends | |
| dc.subject | self-adaptive system | |
| dc.subject | coordination | |
| dc.subject | simulation | |
| dc.subject | state graph | |
| dc.subject | Palladio | |
| dc.title | State Space Exploration for Planning Reconfigurations in Cloud-native Systems | en |
| dc.type | Text/Conference Paper | |
| mci.conference.date | 7.-9.11.2022 | |
| mci.conference.location | Stuttgart | |
| mci.conference.sessiontitle | 13th Symposium on Software Performance (SSP) | |
| mci.reference.pages | 17-19 |