The Novel Enablers for Cloud Slicing (NECOS) project addresses the limitations of current cloud computing infrastructures to respond to the demand for new services, as presented in two use-cases, that will drive the whole execution of the project. The first use-case is focused on Telco service provider and is oriented towards the adoption of cloud computing in their large networks. The second use-case is targeting the use of edge clouds to support devices with low computation and storage capacity. The envisaged solution is based on a new concept, the Lightweight Slice Defined Cloud (LSDC), as an approach that extends the virtualization to all the resources in the involved networks and data centers and provides uniform management with a high-level of orchestration. In this position paper, we discuss the motivation, objectives, architecture, research challenges (and how to overcome them) and initial efforts for the NECOS project.
In the context of 5G networks, the concept of network slicing allows network providers to flexibly share infrastructures with mobile service providers and verticals. While this concept has been widely investigated considering mostly the network issues, in this work we focus on a slice as a service model that takes into account the data center (DC) perspective. In particular, we propose an architecture where DC slices are created over transformable (compute and storage) resources, which can be virtualized or de-virtualized on-demand. Then, on top of each slice, an on-demand VIM is instantiated to control the allocated resources. As a realization of this architecture, we introduce the DC Slice Controller, a system able to deploy and delivery full operational VIMs based on generic templates. We evaluate the effectiveness of the proposed system deploying three VIMs (VLSP, Kubernetes, and OpenStack) over commodity hardware. Experimental results show that the DC Slice Controller can timely provide a slice even when dealing with sophisticated VIMs such as OpenStack. As an example, we were able to delivery a fully functional OpenStack in four nodes in less than 10 minutes.
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