activity
20242026
collaborators

5 papers

cs.NI2026

RIPPLE: Lifecycle-aware Embedding of Service Function Chains in Multi-access Edge Computing

Federico Giarrè, Holger Karl

In Multi-access Edge Computing networks, services can be deployed on nearby edge clouds (EC) as service function chains (SFCs) to meet strict quality of service (QoS) requirements.…

cs.NI2026

Dynamic Server Allocation Under Stochastic Switchover on Time-Varying Links

Hossein Mohammadalizadeh, Holger Karl

Dynamic resource allocation to parallel queues is a cornerstone of network scheduling, yet classical solutions often fail when accounting for the overhead of switching delays to qu…

cs.NI2025

Surfing the SWAVES: Lifecycle-aware Service Placement in MEC

Federico Giarrè, Holger Karl

In Multi-access Edge Computing (MEC) networks, users covered by a mobile network can exploit edge clouds (ECs), computational resources located at the network's edge, to execute vi…

cs.NI2024

Demo: Testing AI-driven MAC Learning in Autonomic Networks

Leonard Paeleke, Navid Keshtiarast, Paul Seehofer +4

6G networks will be highly dynamic, re-configurable, and resilient. To enable and support such features, employing AI has been suggested. Integrating AIin networks will likely requ…

cs.LG2024

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics

Andreas Boltres, Niklas Freymuth, Patrick Jahnke +2

Finding efficient routes for data packets is an essential task in computer networking. The optimal routes depend greatly on the current network topology, state and traffic demand,…