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  KEYWORD

Advanced methods for traffic control in data centers

Parole chiave CLOUD COMPUTING, CONGESTION CONTROL, PROGRAMMABLE DATA PLANES, P4, SOFTWARE DEFINED NETWORKING

Riferimenti ANDREA BIANCO, PAOLO GIACCONE

Gruppi di ricerca Telecommunication Networks Group

Tipo tesi SIMULATION AND DESIGN

Descrizione Data centers offer a unique networking environment for cloud operators to improve the control of the traffic with respect to the legacy transport protocols adopted in the Internet. In order to minimize the delays experienced by the traffic, many advanced control schemes have been recently proposed, experimented and operated in large data centers.

The thesis will focus on the design and simulation of novel scheduling algorithms, queueing policies and traffic control systems that allows to improve the performance with respect state-of-art solutions. The solutions will be also validated in an emulated environment exploiting programmable data planes based on P4 programming model (https://p4.org/), which represents nowadays the most advanced technology to support Software Defined Networking (SDN).

Conoscenze richieste Very strong motivation.
Academic background on computer networking.
Experience in programming.


Scadenza validita proposta 21/03/2020      PROPONI LA TUA CANDIDATURA




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