Pandora : une plate-forme efficace pour la construction d'applications autonomes
Simon Patarin, Mesaac Makpangou
Abstract
Autonomic computing has been proposed recently as a way to address the difficult management of applications whose complexity is constantly increasing. Autonomous applications will have to be especially flexible and be able to monitor themselves permanently. This work presents a framework, Pandora, which eases the construction of applications that satisfy this double goal. Pandora relies on an original application programming pattern - based on stackable layers and message passing - to obtain minimalist model and architecture that allows to control the overhead imposed by the full reflexivity of the framework. Besides, a prototype of the framework has been implemented in C++. A detailed performance study, together with examples of use, complement this presentation
Create a lesson
Related papers
RUN-O-RAN: An O-RAN-Native Architecture Enabling Cooperative Uplink Localization
Viola Bernazzoli, Alberto Ceresoli, Ilario Filippini
NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment
Rasheed Bello, Arthur Mukwaya, Gurcan Comert et al.
Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
Pietro Talli, Andrea Munari, Federico Mason et al.
STR-Agent: An LLM-Driven Agent for QoS-Aware Routing in LEO Satellite Networks
Bowen Lu, Mugen Peng, Yaohua Sun et al.
PyStream: Enhancing Video Streaming Evaluation
Samuel Radler, Leon Prüller, Emanuele Artioli et al.
Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN
Seyed Bagher Hashemi Natanzi, Bo Tang