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Ozgu Alay

Researcher at University of Oslo

Publications -  101
Citations -  2020

Ozgu Alay is an academic researcher from University of Oslo. The author has contributed to research in topics: Wireless network & Mobile broadband. The author has an hindex of 21, co-authored 99 publications receiving 1514 citations. Previous affiliations of Ozgu Alay include New York University & Simula Research Laboratory.

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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

Experience: An Open Platform for Experimentation with Commercial Mobile Broadband Networks

TL;DR: The MONROE measurement platform is introduced: an open access and flexible hardware-based platform for measurements and custom experimentation on operational MBB networks and the wide variety of experiments that external users already perform using the system are described and exemplified.