Seyed Hossein Ahmadpanah

Congestion-aware routing and dynamic replication for scalable mixture-of-experts inference

The network fabric as a storage orchestrator: a switch-centric architecture

A new class of highly scalable, effective, and resilient network-native services is made possible by Synapse, which removes the main storage bottleneck in contemporary data centers by offloading the entire telemetry capture process to the network fabric.

Solving the hybrid action space problem in edge computing: a graph-aware reinforcement learning approach for container management

The Synergistic Policy network for Edge Resource Control (SPERC) is presented, a novel deep reinforcement learning framework designed to solve this joint problem of ensuring performance through appropriate computational resource allocation and minimizing storage costs through image layer sharing.