Konstantinos Papaioannou

According to our database, Konstantinos Papaioannou authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference.

Konstantinos Papaioannou, Thaleia Dimitra Doudali

CoRR, March, 2026

CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-tenant LLM Serving Systems.

Panagiotis Georgios Pennas, Konstantinos Papaioannou, Marco Guarnieri, Thaleia Dimitra Doudali

CoRR, March, 2026

Dealing with the Elephant in the KV Cache: Video Frame Sampling for Multimodal LLM Inference.

Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2024

Improving the Efficiency of LLM Inference Serving Systems.

Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the Euro-Par 2024: Parallel Processing Workshops, 2024

The Importance of Workload Choice in Evaluating LLM Inference Systems.

Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Toward Pattern-based Model Selection for Cloud Resource Forecasting.

Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

Is Machine Learning Necessary for Cloud Resource Usage Forecasting?

Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023