Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/94988
Title: Designing a high availability subnetwork to support availability differentiation
Authors: Alashaikh, Abdulaziz S.
Tipper, David 
Gomes, Teresa 
Keywords: Research Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonics::Electrical engineering; Research Subject Categories::TECHNOLOGY::Information technology::Telecommunication
Issue Date: 2018
Publisher: IEEE
Project: UID/MULTI/00308/2013. 
Serial title, monograph or event: 2018 21st Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
Place of publication or event: Paris, France
Abstract: In a recent series of papers [1-3] we studied the problem of how to provide both high levels of availability and service differentiation to traffic flows in a cost efficient manner. The basic idea developed was to embed at the physical layer a high availability set of links and nodes (termed the spine) in the network topology to support protection and routing in providing differentiated classes of resilience with varying levels of end-to-end availability. In this paper, we present an optimization model formulation of the spine design problem considering link availability and the cost of upgrading link availability. Numerical results show the advantages of modifying the availability of a subset of the network topology to provide QoR classes.
URI: http://hdl.handle.net/10316/94988
ISBN: 978-1-5386-3458-5
DOI: 10.1109/ICIN.2018.8401593
Rights: embargoedAccess
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Livros de Actas

Files in This Item:
File Description SizeFormat
Alashaikh_Tipper_Gomes_DRCN2018_EstudoFeral.pdfDesigning a High Availability Subnetwork to Support Availability Differentiation755.3 kBAdobe PDFView/Open
Show full item record

Page view(s)

57
checked on Jun 10, 2021

Download(s)

7
checked on Jun 10, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons