Will, J., Scheinert, D., Zunzer, S., Bode, J., Kring, C. and Thamsen, L. (2024) Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. In: ICPE 2024: The 9th Workshop on Challenges in Performance Methods for Software Development (WOSP-C), London, UK, 7-11 May 2024, (Accepted for Publication)
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322649.pdf - Accepted Version Restricted to Repository staff only 654kB |
Item Type: | Conference Proceedings |
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Additional Information: | This work has been supported through a grant by the German Research Foundation (DFG) as “C5” (grant 506529034). |
Keywords: | Distributed dataflows, resource allocation, performance modeling, data sharing, data privacy. |
Status: | Accepted for Publication |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Thamsen, Dr Lauritz |
Authors: | Will, J., Scheinert, D., Zunzer, S., Bode, J., Kring, C., and Thamsen, L. |
College/School: | College of Science and Engineering > School of Computing Science |
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