DDPG-MPCC: An Experience Driven Multipath Performance Oriented Congestion Control

Autor:	Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe, Anwar Walid
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	multipath TCP congestion control experience-driven approach performance-oriented congestion control deep learning Information technology T58.5-58.64
Zdroj:	Future Internet, Vol 16, Iss 2, p 37 (2024)
Druh dokumentu:	article
ISSN:	1999-5903
DOI:	10.3390/fi16020037
Popis:	We introduce a novel multipath data transport approach at the transport layer referred to as ‘Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control’ (DDPG-MPCC), which leverages deep reinforcement learning to enhance congestion management in multipath networks. Our method combines DDPG with online convex optimization to optimize fairness and performance in simultaneously challenging multipath internet congestion control scenarios. Through experiments by developing kernel implementation, we show how DDPG-MPCC performs compared to the state-of-the-art solutions.
Databáze:	Directory of Open Access Journals
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