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Chrysa Papagianni

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ORCID 0000-0002-2665-6492

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.NI2024★ 8 cited

SLA Decomposition for Network Slicing: A Deep Neural Network Approach

Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni

For a network slice that spans multiple technology and/or administrative domains, these domains must ensure that the slice's End-to-End (E2E) Service Level Agreement (SLA) is met.…

cs.NI2024★ 21 cited

Deterministic and Probabilistic P4-Enabled Lightweight In-Band Network Telemetry

Konstantinos Papadopoulos, Panagiotis Papadimitriou, Chrysa Papagianni

In-band network telemetry (INT), empowered by programmable dataplanes such as P4, comprises a viable approach to network monitoring and telemetry analysis. However, P4-INT as well…

cs.NI2023

DESiRED -- Dynamic, Enhanced, and Smart iRED: A P4-AQM with Deep Reinforcement Learning and In-band Network Telemetry

Leandro C. de Almeida, Washington Rodrigo Dias da Silva, Thiago C. Tavares +3

Active Queue Management (AQM) is a mechanism employed to alleviate transient congestion in network device buffers, such as routers and switches. Traditional AQM algorithms use fixe…

cs.NI2023

iRED: A disaggregated P4-AQM fully implemented in programmable data plane hardware

Leandro C. de Almeida, Rafael Pasquini, Chrysa Papagianni +1

Routers employ queues to temporarily hold packets when the scheduler cannot immediately process them. Congestion occurs when the arrival rate of packets exceeds the processing capa…

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