Kamran Razavi

According to our database, Kamran Razavi authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Tale of Two Scales: Reconciling Horizontal and Vertical Scaling for Inference Serving Systems.

Kamran Razavi, Mehran Salmani, Max Mühlhäuser, Boris Koldehofe, Lin Wang

CoRR, 2024

NetNN: Neural Intrusion Detection System in Programmable Networks.

Kamran Razavi, Shayan Davari Fard, George Karlos, Vinod Nigade, Max Mühlhäuser, Lin Wang

Proceedings of the IEEE Symposium on Computers and Communications, 2024

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

Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang

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

2023

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

Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi

CoRR, 2023

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems.

Mehran Salmani, Saeid Ghafouri, Alireza Sanaee, Kamran Razavi, Max Mühlhäuser, Joseph Doyle, Pooyan Jamshidi, Mohsen Sharifi

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

2022

FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees.

Kamran Razavi, Manisha Luthra, Boris Koldehofe, Max Mühlhäuser, Lin Wang

Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Distributed DNN serving in the network data plane.

Kamran Razavi, George Karlos, Vinod Nigade, Max Mühlhäuser, Lin Wang

Proceedings of the 5th International Workshop on P4 in Europe, 2022

2020

Operator as a Service: Stateful Serverless Complex Event Processing.

Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020