Seminar on Internet Technologies (Summer 2026): Difference between revisions
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| Large Language Models & NLP (familiarity with Transformer architecture is recommended) | | Large Language Models & NLP (familiarity with Transformer architecture is recommended) | ||
| [Hao Xu, hao.xu@cs.uni-goettingen.de] | | [Hao Xu, hao.xu@cs.uni-goettingen.de] | ||
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| Yes | |||
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| Optimizing Kubernetes for Edge Environments | |||
| In this topic, you will explore methods to optimize Kubernetes for edge environments, focusing on addressing challenges such as resource management, fault tolerance or network constraints. This includes investigating existing solutions and identifying gaps by evaluating the effectiveness of these approaches using metrics such as deployment time, resource utilization and application performance. | |||
| Understanding of Kubernetes, containers and programming skills in relevant languages (e.g., Python, Go) | |||
| [Jan Lenke, jan.lenke@cs.uni-goettingen.de] | |||
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| Yes | | Yes | ||