An Experimental Study on Virtual Machine Live Migration Impact on Services Performance

One important benefit of servers' virtualization is the reduction of the maintenance complexity of infrastructures. A key feature is servers' live migration which allows virtual servers to be exchanged between physical machines without stopping their services. However, virtualization also has some drawbacks caused by the overhead generated. Our research evaluated live migration process overhead, on real and virtual environments, noticed from the client's side regarding two different services: web and database. YCSB and ab Benchmark were adopted as workloads. Almost all tests on real environment overcame those on virtual, with both benchmarks. The impact of the live migration in the services was evident, proving to be more effective on real machines than on virtual machines. We found the DB service accommodated better to the virtual environment and to migration than Web service. We also considered an environment with multiple migrations which presented a higher degradation than when only one migration is performed

On the integration of NFV and MEC technologies: architecture analysis and benefits for edge robotics

Forthcoming networks will need to accommodate a large variety of services over a common shared infrastructure. To achieve the necessary flexibility and cost savings, these networks will need to leverage two promising technologies: Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC). While the benefits of NFV and MEC have been largely studied as independent domains, the benefits of an harmonized system comprising these two technologies remains largely unexplored. In this article we first identify a set of reference use cases that would benefit from a joint use of MEC and NFV. Then, we analyze the current state-of-the-art on MEC and NFV integration and we identify several issues that prevent a seamless integration. Next, we consider a reference use case, namely Edge Robotics, to exemplify and characterize these issues in terms of the overall service life cycle: from the initial development, to deployment and termination.This work has been partially funded by the EU H2020 5G-TRANSFORMER Project (grant no. 761536), the H2020 collaborative Europe/Taiwan research project 5G-CORAL (grant no. 761586) and the EU H2020 5GROWTH Project (grant no. 856709)

An architecture for software defined wireless networking

Software defined networking, characterized by a clear separation of the control and data planes, is being adopted as a novel paradigm for wired networking. With SDN, network operators can run their infrastructure more efficiently, supporting faster deployment of new services while enabling key features such as virtualization. In this article, we adopt an SDN-like approach applied to wireless mobile networks that will not only benefit from the same features as in the wired case, but will also leverage on the distinct features of mobile deployments to push improvements even further. We illustrate with a number of representative use cases the benefits of the adoption of the proposed architecture, which is detailed in terms of modules, interfaces, and high-level signaling. We also review the ongoing standardization efforts, and discuss the potential advantages and weaknesses, and the need for a coordinated approach.The research leading to these results has been partly funded by the European Community's Seventh Framework Programme FP7/2007–2013 under grant agreement no. 317941-project iJOIN, http://www.ict-ijoin.eu/Publicad

Challenges in real-time virtualization and predictable cloud computing

Cloud computing and virtualization technology have revolutionized general-purpose computing applications in the past decade. The cloud paradigm offers advantages through reduction of operation costs, server consolidation, flexible system configuration and elastic resource provisioning. However, despite the success of cloud computing for general-purpose computing, existing cloud computing and virtualization technology face tremendous challenges in supporting emerging soft real-time applications such as online video streaming, cloud-based gaming, and telecommunication management. These applications demand real-time performance in open, shared and virtualized computing environments. This paper identifies the technical challenges in supporting real-time applications in the cloud, surveys recent advancement in real-time virtualization and cloud computing technology, and offers research directions to enable cloud-based real-time applications in the future

A future-proof architecture for management and orchestration of multi-domain NextGen networks

The novel network slicing paradigm represents an effective turning point to operate future wireless networks. Available networking and computational resources may be shared across different (instantiations of) services tailored onto specific vertical needs, envisioned as the main infrastructure tenants. While such customization enables meeting advanced Key Performance Indicators (KPIs) introduced by upcoming 5G networks, advanced multi-tenancy approaches help to abate the cost of deploying and operating the network. However, the network slicing implementation requires a number of non-trivial practical considerations, including e.g. (i) how resource sharing operations are actually implemented, (ii) how involved parties establish the corresponding agreement to instantiate, operate and terminate such a sharing or, (iii) the design of functional modules and interfaces supporting these operations. In this paper, we present a novel framework that unveils proper answers to the above design challenges. While existing initiatives are typically limited to single-domain and single-owner scenarios, our framework overcomes these limitations by enlarging the administrative scope of the network deployments fostering different providers to collaborate so as to facilitate a larger set of resources even spread across multiple domains. Numerical evaluations confirm the effectiveness and efficiency of the presented solution.This work was supported in part by the 5G-MoNArch Project, in part by the Phase II of the 5th Generation Public Private Partnership (5G-PPP) Program, in part by the European Commission within the Horizon 2020 Framework Program under Grant 761445, in part by the 5G-MoNArch Project builds on the results of the 5G-PPP Phase I Project 5G-NORMA, and in part by the European Union Horizon 2020 Project 5G-CARMEN under Grant 825012. The work of UC3M has also received funding from the Horizon 2020 Programme under Grant 815074 - 5G EVE.Publicad

Digital twins for next-generation mobile networks: Applications and solutions

Digital Twins (DTs) create fully-synchronized virtual representations of real-world systems, which can serve as interactive counterparts for artificial intelligence (AI) and machine learning (ML) algorithms, and hold significant importance for the upcoming 6G mobile networks. In this paper, we argue that DTs can improve all phases of the intelligent networks' workflow, due to their adaptability and scalability properties that would allow them to transparently integrate new AI/ML algorithms faster, more scalably, and more precisely. Our contribution is two-fold: first, we propose three specific application scenarios of DT-enhanced network architectures in the context of 6G. Second, using open-source tools, we implement and evaluate in detail one of them. Our results demonstrate that our DT reflects the characteristics of the physical object, successfully and scalably twinning it, and adapting to changing contextual conditions.The work of University Carlos III of Madrid has been funded by the H2020 Project DAEMON (Grant Agreement No. 101017109), the Horizon Europe Project TrialsNet (Grant Agreement No. 101095871), and by the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-NextGenerationEU through the UNICO 5G I+D project 6G-CLARION.Publicad

Network slicing to enable scalability and flexibility in 5G mobile networks

We argue for network slicing as an efficient solution that addresses the diverse requirements of 5G mobile networks, thus provid-ing the necessary flexibility and scalability associated with future network implementations. We elaborate on the challenges that emerge when we design 5G networks based on network slicing. We focus on the architectural aspects associated with the coexistence of dedicated as well as shared slices in the network. In particular, we analyze the realization options of a flexible radio access network with focus on network slicing and their impact on the design of 5G mobile networks. In addition to the technical study, this paper provides an investigation of the revenue potential of network slicing, where the applications that originate from such concept and the profit capabilities from the network operator's perspective are put forward.This work has been performed in the framework of the H2020-ICT-2014-2 project 5G NORMA

Modular architecture providing convergent and ubiquitous intelligent connectivity for networks beyond 2030

The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number of important architectural challenges that force an evolution of existing operational frameworks. Current networks have introduced technical paradigms such as network virtualization, programmability and slicing, being a trend known as network softwarization. Forthcoming B5G and 6G services imposing stringent requirements will motivate a new radical change, augmenting those paradigms with the idea of smartness, pursuing an overall optimization on the usage of network and compute resources in a zero-trust environment. This paper presents a modular architecture under the concept of Convergent and UBiquitous Intelligent Connectivity (CUBIC), conceived to facilitate the aforementioned transition. CUBIC intends to investigate and innovate on the usage, combination and development of novel technologies to accompany the migration of existing networks towards Convergent and Ubiquitous Intelligent Connectivity (CUBIC) solutions, leveraging Artificial Intelligence (AI) mechanisms and Machine Learning (ML) tools in a totally secure environment

5G-TRANSFORMER: Slicing and Orchestrating Transport Networks for Industry Verticals

This article dives into the design of the next generation Mobile Transport Networks to simultaneously support the needs of various vertical industries with diverse range of networking and computing requirements. Network Slicing has emerged as the most promising approach to address this challenge by enabling per-slice management of virtualized resources. We aim to bring the Network Slicing paradigm into mobile transport networks by provisioning and managing slices tailored to the needs of different vertical industries, specifically: automotive, eHealth and media. Our technical approach is twofold: (i) enabling Vertical Industries to meet their service requirements within customized slices; and (ii) aggregating and federating transport networking and computing fabric, from the edge up to the core and cloud, to create and manage slices throughout a federated virtualized infrastructure. The main focus of the article is on major technical highlights of verticaloriented slicing mechanisms for 5G mobile networks.This work has been partially supported by the EU H2020 5GPPP 5G-TRANSFORMER project (Grant 761536