Workshop on Data Science Infrastructures

The Data Science Infrastructures Programme stands up an infrastructure stack from applications, programming models, middleware, virtualisation to hardware which is applied to a variety of real-world problems across Health, Societies and Environment. Of particular interest of the programme is the exploration of the usability of infrastructure clouds from the perspective of Artificial Intelligence/Machine Learning and other data science applications.

The workshop will provide a stimulating environment for academics, researchers, Post-Docs, PhD students and industry collaborators. Participants will also have the chance to present their results with talks, and to interact with colleagues in a convivial and productive environment.

Programme

09:45 - Arrival and Coffee

10:15 - Opening. Karim Djemame

10:30 - Towards Intelligent and Secure Edge AI Systems (Guest talk). Bo Wei, Newcastle University.

11:00 - Cooperative Flexibility Exchange: Fair and Comfort-Aware Decentralized Resource Allocation. Rabiya Khalid and Evangelos Pournaras

11:30 - Employing LLMs to Analyse Cloud/Edge Open Standards. Antonio Alberti

12:00 - Title TBA. Arshad Jhumka.

12:30 - Lunch

13:45 - Disk-aware KV Cache Offloading for Long-Context On-device Inference. Huawei Zhang and Zheng Wang.

14:15 - Flow-Aware, Machine Learning-Driven Mapping for Serverless Software Defined Networks. Abdulaziz Alhindi and Karim Djemame

14:30 - On-Device Domain Adaptation for Medical Imaging. Md Ishan Arefin Hossain

14:45 - Enhancing Real-Time Performance in Digital Communications using Machine Learning. Miguel Boing -

15:00 - A GPU Memory Allocator with Device-Side Page Table Materialization and Deferred TLB Coherence. Chunwei Xia

15:30 - Open discussion

16:00 - Closing

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