A Framework for dynamically meeting performance objectives on a service mesh

no code implementations • 25 Jun 2023 • Forough Shahab Samani, Rolf Stadler

By first learning the system model and the operating region from testbed traces, we can train the agent for different management objectives in parallel.

Management Reinforcement Learning (RL)

Dynamically meeting performance objectives for multiple services on a service mesh

no code implementations • 8 Oct 2022 • Forough Shahab Samani, Rolf Stadler

We present a framework that lets a service provider achieve end-to-end management objectives under varying load.

Blocking Management +1

Online feature selection for rapid, low-overhead learning in networked systems

no code implementations • 28 Oct 2020 • Xiaoxuan Wang, Forough Shahab Samani, Rolf Stadler

Data-driven functions for operation and management often require measurements collected through monitoring for model training and prediction.

feature selection Management