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This paper addresses scalability in mega-DCs combining for the first time graph factorization with compressive sensing theories. Our modelling results indicate drastically reduced amounts of traffic transferred from the data to control plane and number of optimization process variables.
To support scalable service provisioning in converged optical/wireless clouds we adopt for the first time compressive sensing (CS) techniques. CS achieves optimal service provisioning with significantly reduced control and management information and computational complexity.
The high capacity, low latency, stringent Quality-of-Service (QoS), data processing and storage requirements of the next generation of digital media formats i.e. Ultra-High-Definition (UHD) preclude the use of traditional IP-based media infrastructures. Therefore, it is imperative that alternative network-based media infrastructures are developed with adequate resource capabilities and advanced control...
In this paper, a novel and optimized virtual optical network (VON) composition method, aware of the impact of physical layer impairments (PLIs), is investigated. VONs are composed using Mixed Integer Linear Programming (MILP), which can provide optimal solutions for VON composition. The quality of the composed VONs is verified by adopting an analytical assessment model of PLIs. In order to improve...
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