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Restoration in optical cloud networks with relocation and services differentiation Natalino da Silva, Carlos Wosinska, Lena Spadaro, Salvatore Costa, J. C. W. A. Frances, Carlos Monti, Paolo Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica Wavelength division multiplexing Cloud computing Cloud computing SDN Optical restoration Failure recovery Network survivability Optical cloud Service availability Service differentiation Service relocation Wavelength division multiplexing (WDM) Multiplexatge per divisió de freqüència Computació en núvol ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Optical cloud networks allow for the integrated management of both optical and IT resources. In this paradigm, cloud services can be provisioned in an anycast fashion; i.e., only the source node asking for a service is specified, while it is up to the cloud control/management system to select the most suitable destination data center (DC) node. During the cloud service provisioning process, resiliency is crucial in order to guarantee continuous network operations also in the presence of failures. On the one hand, a survivability strategy needs to be able to meet the availability requirements of each specific cloud service, while on the other hand it must be efficient in using backup resources. This paper proposes a restoration-based survivability strategy, which combines the benefits of both cloud service relocation and service differentiation concepts. The former is used to enhance the restorability performance (i.e., the percentage of successfully restored cloud services) offered by restoration, while the latter ensures that critical services are given the proper consideration while backup resources are assigned. The paper proposes both an integer linear programming (ILP) formulation, which guarantees optimal results, and a heuristic, which trades the optimality of the solution achieved by the ILP for faster processing times. Simulation results show that the average service availability and restorability performance obtained by both the ILP and the heuristic are very close to that achievable using a protection-based strategy, but with the inherent benefit, in terms of efficient use of resources, offered by a restoration-based approach. Peer Reviewed Postprint (author's final draft) 2016-02-01 Article Natalino da Silva, C., Wosinska, L., Spadaro, S., Costa, J., Frances, C., Monti, P. Restoration in optical cloud networks with relocation and services differentiation. "Journal of optical communications and networking", 01 Febrer 2016, vol. 8, núm. 2, p. 100-111. 1943-0620 https://hdl.handle.net/2117/86139 10.1364/JOCN.8.000100 eng http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7405173 Open Access 12 p. application/pdf Institute of Electrical and Electronics Engineers (IEEE)