Routing using Safe Reinforcement Learning

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding


The ever increasing number of connected devices has lead to a metoric rise in the amount data to be processed. This has caused computation to be moved to the edge of the cloud increasing the importance of efficiency in the whole of cloud. The use of this fog computing for time-critical control applications is on the rise and requires robust guarantees on transmission times of the packets in the network while reducing total transmission times of the various packets.

We consider networks in which the transmission times that may vary due to mobility of devices, congestion and similar artifacts. We assume knowledge of the worst case tranmssion times over each link and evaluate the typical tranmssion times through exploration. We present the use of reinforcement learning to find optimal paths through the network while never violating preset deadlines. We show that with appropriate domain knowledge, using popular reinforcement learning techniques is a promising prospect even in time-critical applications.


Enheter & grupper

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Titel på värdpublikation2nd Workshop on Fog Computing and the Internet of Things
StatusAccepted/In press - 2020 feb 20
Peer review utfördJa
Evenemang2nd Workshop on Fog Computing and the Internet of Things -
Varaktighet: 2020 apr 21 → …


Workshop2nd Workshop on Fog Computing and the Internet of Things
Förkortad titelFog-IoT 2020
Period2020/04/21 → …


Ingen tillgänglig data

Relaterad forskningsoutput

Gautham Nayak Seetanadi, Martina Maggio & Karl-Erik Årzén, 2020 mar 9, (Accepted/In press) International Conference on Real-Time Networks and Systems.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingFörord till konferenspublikation

Visa alla (1)

Related projects

Anton Cervin, Karl-Erik Årzén, Martina Maggio, Nils Vreman, Yang Xu, Enrico Bini, Gautham Nayak Seetanadi, Marcus Thelander Andrén, Paolo Pazzaglia, Zebo Peng, Petru Eles, Rouhollah Mahfouzi, Soheil Samii & Amir Aminifar

2010/01/01 → …

Projekt: Forskning

Visa alla (1)