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NFV-MANO has become the de-facto standard for network service orchestration in future programmable network infrastructures. Specifically, relevant standards define an architecture and a data model that allows an orchestration entity to deploy, dynamically configure and monitor virtual and physical network function across virtualized datacenters. Although the model offers extensive details for network functions management and host-level network configuration, end-to-end connectivity management beyond the datacenter remains limited, modeled by the WAN Infrastructure Manager (WIM) abstraction. Although many open-source service management frameworks offer NFV-MANO support, the community still lacks a WIM reference implementation. In this paper, we present the DataPlane Broker (DPB), the first open source WIM implementation for Ethernet networks. The system develops an extensive data model to seamlessly translate NFV-MANO connectivity requirement to network configuration for SDN-enabled networks and supports point-to-point and point-to-multipoint virtual links with strong QoS guarantees. DPB currently offers complete integration with the current stable OSM version (v5) and we demonstrate that it provides good scaling properties under high service provision requirements.

The modern Smart Grid (SG) requires the adequate exploitation of Ancillary Services (AS) in order to dynamically support evolving energy demands, ensure grid stability and optimize energy trading transactions. Distributed Renewable Energy Sources (DRES) are considered as the most promising avenue to underpin the dynamic composition of AS. Nonetheless, the inherent legacy, distributed and resourceconstrained properties of DRES deployments trigger a plethora of challenges with respect to the underlying end-to-end (E2E) data communication performance with direct implications on AS orchestration. Hence, assuring resilient and scalable E2E AS provisioning is a highly challenging task requiring advanced networking mechanisms. This work goes beyond architectural, policy-level and theoretical suggestions of how 5G can be utilized in the SG context and provide a proof-of-concept, system for DRES management. We introduce Ukko; an open-source, 5G network service design facilitating the programmable, "innetwork" orchestration of DRES management, supporting realtime AS application requirements. Experiments conducted over a UK-wide 5G testbed using real use-case scenarios demonstrate that the proposed solution can assure scalable and resilient DRES management at the likely occurrence of data communication challenges.

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Information about us is increasingly interesting to those who wish to understand our persona, our interests, and the context within which we lives our lives. Regulation follows with the aim to maintain our privacy in modern times. However, such regulation doesn't prescribe the detail of the processes needed to support the intended objectives of regulation. Nor, do we understand the requirement of the technologies which may assist in the enforcement and management of information processes to support regulation. This paper explores recent multidisciplinary research which has been anticipating the changing regulatory landscape with regard to data protection and provides some insight into how we may implement supporting technologies and processes using risk based approaches.