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Software-Defined Networking and Network Functions Virtualisation have iniatiated a new landscape within the telecom market landscape. Initial proof-of-concept prototypes for NFV-enabled solutions are being developed at the same time SDN models are identified as the futures solutions within the telecom realm. In this article, we provide a brief overview of the application and state-of-the-art of SDN and NFV technologies over optical networks. At the same time, we provide the first formalisation model for the VNF complex scheduling problem, using the complex job formalisation. The article aims at being used as starting point in order to optimally solve the scheduling problem of virtual network functions that compose network services to be provisioned within the SDN paradigm. Finally, we also provide an example of the virtualisation of the routing function over an SDN-enabled domain.

Abstract-In this paper we propose energy efficient design and operation of infrastructures incorporating integrated optical network and IT resources. For the first time we quantify significant energy savings of a complete solution jointly optimizing the allocation and provisioning of both network and IT resources. Our approach involves virtualization of the infrastructure resources and it is proposed and developed in the framework of the European project GEYSERS -Generalised Architecture for Dynamic Infrastructure Services.

Network Functions Virtualization is focused on\ud migrating traditional hardware-based network functions to\ud software-based appliances running on standard high volume\ud severs. There are a variety of challenges facing early adopters of\ud Network Function Virtualizations; key among them are resource\ud and service mapping, to support virtual network function orchestration.\ud Service providers need efficient and effective mapping\ud capabilities to optimally deploy network services. This paper\ud describes TeNOR, a micro-service based network function virtualisation\ud orchestrator capable of effectively addressing resource\ud and network service mapping. The functional architecture and\ud data models of TeNOR are described, as well as two proposed\ud approaches to address the resource mapping problem. Key\ud evaluation results are discussed and an assessment of the mapping\ud approaches is performed in terms of the service acceptance ratio\ud and scalability of the proposed approaches

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