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Simone Ferlin

Researcher at Ericsson

Publications -  39
Citations -  1096

Simone Ferlin is an academic researcher from Ericsson. The author has contributed to research in topics: Multipath TCP & Network congestion. The author has an hindex of 12, co-authored 36 publications receiving 701 citations. Previous affiliations of Simone Ferlin include Simula Research Laboratory & Ludwig Maximilian University of Munich.

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Proceedings ArticleDOI

Experimental evaluation of multipath TCP schedulers

TL;DR: This paper designs and implements a generic modular scheduler framework and uses this framework to do an in-depth analysis of different schedulers for Multipath TCP, and considers bulk data transfer as well as application limited traffic and identify metrics to quantify the scheduler's performance.
Proceedings ArticleDOI

BLEST: Blocking estimation-based MPTCP scheduler for heterogeneous networks

TL;DR: A send-window BLocking ESTimation scheduler is proposed, BLEST, which aims to minimise HoL-blocking in heterogeneous networks, thereby increasing the potential for capacity aggregation by reducing the number of spurious retransmissions.
Proceedings ArticleDOI

Revisiting congestion control for multipath TCP with shared bottleneck detection

TL;DR: The penalty of the coupled congestion control for links that do not share a bottleneck is quantified and a practical shared bottleneck detection (SBD) algorithm is designed and implemented, namely MPTCP-SBD, which outperforms all currently deployed MP TCP coupled congestion controls by accurately detecting bottlenecks.
Journal ArticleDOI

Low-Latency Scheduling in MPTCP

TL;DR: BLEST and STTF are compared with existing schedulers in both emulated and real-world environments and are shown to reduce web object transmission times with up to 51% and provide 45% faster communication for interactive applications, compared with MPTCP’s default scheduler.
Proceedings ArticleDOI

Multi-path transport over heterogeneous wireless networks: Does it really pay off?

TL;DR: The Dynamic Relative Path Scoring (DRePaS) algorithm is introduced that continuously evaluates the contribution of paths to the overall performance and dynamically influences the scheduling decisions to make best use of the paths for the overall system performance.