Publications
This page lists all publications by the Computer Networks group.
Publications
2024
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, doi: 10.1145/3589334.3645383.
IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
S. Ghafouri et al., “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency,” Journal of Systems Research (JSys).
NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award)
K. Razavi, S. Davari Fard, G. Karlos, V. Nigade, M. Mühlhäuser, and L. Wang, “NetNN: Neural Intrusion Detection System in Programmable Networks (Second Best Paper Award),” presented at the 29th IEEE International Symposium on Computers and Communications (ISCC), Paris, France, 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 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024, doi: 10.1145/3642970.365583.
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, doi: 10.1109/INFOCOM52122.2024.10621341.
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, doi: 10.1145/3663408.3663414.
NetCL: A Unified Programming Framework for In-Network Computing
G. Karlos, H. Bal, and L. Wang, “NetCL: A Unified Programming Framework for In-Network Computing,” presented at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Atlanta, GA, 2024.
Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing
G. Liu and L. Wang, “Data On the Go: Seamless Data Routing for Intermittently-Powered Battery-Free Sensing,” IEEE Transactions on Mobile Computing (TMC), 2024, doi: 10.1109/TMC.2024.3429636.
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, doi: 10.1109/INFOCOM52122.2024.10621125.
InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment
Q. Pei, L. Wang, D. Zhang, B. Yan, C. Yu, and F. Liu, “InferCool: Enhancing AI Inference Cooling through Transparent, Non-Intrusive Task Reassignment,” presented at the ACM Symposium on Cloud Computing (SoCC), Redmond, 2024.
A Comparative Measurement Study of Cross-Layer 5G Performance Under Different Mobility Scenarios
J. Hu, L. Wang, J. Wu, Q. Pei, F. Liu, and B. Li, “A Comparative Measurement Study of Cross-Layer 5G Performance Under Different Mobility Scenarios,” Computer Networks, vol. 257, Art. no. 110952, 2024, doi: 10.1016/j.comnet.2024.110952.
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