Pu­bli­ca­ti­ons

This page lists all publications by the Computer Networks group, classified into different categories.

Con­fe­rences

2024

X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics

F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.


Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES

M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang, “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.


𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing

H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented at the ACM Web Conference (WWW), Singapore, 2024.


Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling

K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024.


A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT

G. Liu, V. Nigade, H. Bal, and L. Wang, “A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT,” presented at the ACM Asia Pacific Workshop on Networking (APNET), Sydney, Austrialia, 2024.


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Jour­nals

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency

S. Ghafouri, K. Razavi, M. Salmani, A. Sanaee, T. Lorido Botran, L. Wang, J. Doyle, P. Jamshidi, Journal of Systems Research (JSys) (n.d.).


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