1,325 research outputs found
An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks
Network Functions Virtualization (NFV) in Software Defined Networks (SDN)
emerged as a new technology for creating virtual instances for smooth execution
of multiple applications. Their amalgamation provides flexible and programmable
platforms to utilize the network resources for providing Quality of Service
(QoS) to various applications. In SDN-enabled NFV setups, the underlying
network services can be viewed as a series of virtual network functions (VNFs)
and their optimal deployment on physical/virtual nodes is considered a
challenging task to perform. However, SDNs have evolved from single-domain to
multi-domain setups in the recent era. Thus, the complexity of the underlying
VNF deployment problem in multi-domain setups has increased manifold. Moreover,
the energy utilization aspect is relatively unexplored with respect to an
optimal mapping of VNFs across multiple SDN domains. Hence, in this work, the
VNF deployment problem in multi-domain SDN setup has been addressed with a
primary emphasis on reducing the overall energy consumption for deploying the
maximum number of VNFs with guaranteed QoS. The problem in hand is initially
formulated as a "Multi-objective Optimization Problem" based on Integer Linear
Programming (ILP) to obtain an optimal solution. However, the formulated ILP
becomes complex to solve with an increasing number of decision variables and
constraints with an increase in the size of the network. Thus, we leverage the
benefits of the popular evolutionary optimization algorithms to solve the
problem under consideration. In order to deduce the most appropriate
evolutionary optimization algorithm to solve the considered problem, it is
subjected to different variants of evolutionary algorithms on the widely used
MOEA framework (an open source java framework based on multi-objective
evolutionary algorithms).Comment: Accepted for publication in IEEE INFOCOM 2019 Workshop on Intelligent
Cloud Computing and Networking (ICCN 2019
Intent-based network slicing for SDN vertical services with assurance: Context, design and preliminary experiments
Network slicing is announced to be one of the key features for 5G infrastructures enabling network operators to provide network services with the flexibility and dynamicity necessary for the vertical services, while relying on Network Function Virtualization (NFV) and Software-defined Networking (SDN). On the other hand, vertical industries are attracted by flexibility and customization offered by operators through network slicing, especially if slices come with in-built SDN capabilities to programmatically connect their application components and if they are relieved of dealing with detailed technicalities of the underlying (virtual) infrastructure. In this paper, we present an Intent-based deployment of a NFV orchestration stack that allows for the setup of Qos-aware and SDN-enabled network slices toward effective service chaining in the vertical domain. The main aim of the work is to simplify and automate the deployment of tenant-managed SDN-enabled network slices through a declarative approach while abstracting the underlying implementation details and unburdening verticals to deal with technology-specific low-level networking directives. In our approach, the intent-based framework we propose is based on an ETSI NFV MANO platform and is assessed through a set of experimental results demonstrating its feasibility and effectiveness
5G: Where is the Money?
One of the most relevant issues in the new Digital Transformation is how telcos could create new 5G ecosystems. The use of new 5G technologies enters the telecommunication market in a very disruptive
way. Telcos could be prepared for another technological change since the telco industry lived many transformations in the past. With 5G and their disruptive technologies, the result will be, making
telcos enter in a non-telco area. Because of that, they will need to interact with different verticals and new partners.
There are many technical kinds of literature covering these new 5G technologies, but few of them, cover how telcos should manage and do business with them. Some studies affirm that The telco companies who do not understand that they must interact with others
as part of the new ecosystem will eventually die.
However, not all are bad news for telcos, the future is not written. There are new opportunities and considering the logical technological restrictions and the possible and realistic possibilities, there is an
open space that will be defined by the decisions that will be taken by the industry. This paper aims to clarify these concepts behind the new business models which are its usages, and
its roles in the information system domain. To do that, the paper identifies the terminologies used to describe new business models and reuses the previous literature to elaborate on the research. General
usages, roles, and potential of the concept are also outlined.
The intention of this dissertation is to be used by non-technical people. Basic concepts are explained in a very simple way to allow readers to have an overview of the technical issues needed to
understand the conclusions. How to present technical information, in a non-technical way, represents an extra challenge for the author.
Finally, concrete and pragmatic proposals will be offered to telco managers and CEOs, to start working in the direction towards monetization of 5G, helping them with company decisions.Master in NFV and SDN for 5G Networks. Curso 2018/201
Will SDN be part of 5G?
For many, this is no longer a valid question and the case is considered
settled with SDN/NFV (Software Defined Networking/Network Function
Virtualization) providing the inevitable innovation enablers solving many
outstanding management issues regarding 5G. However, given the monumental task
of softwarization of radio access network (RAN) while 5G is just around the
corner and some companies have started unveiling their 5G equipment already,
the concern is very realistic that we may only see some point solutions
involving SDN technology instead of a fully SDN-enabled RAN. This survey paper
identifies all important obstacles in the way and looks at the state of the art
of the relevant solutions. This survey is different from the previous surveys
on SDN-based RAN as it focuses on the salient problems and discusses solutions
proposed within and outside SDN literature. Our main focus is on fronthaul,
backward compatibility, supposedly disruptive nature of SDN deployment,
business cases and monetization of SDN related upgrades, latency of general
purpose processors (GPP), and additional security vulnerabilities,
softwarization brings along to the RAN. We have also provided a summary of the
architectural developments in SDN-based RAN landscape as not all work can be
covered under the focused issues. This paper provides a comprehensive survey on
the state of the art of SDN-based RAN and clearly points out the gaps in the
technology.Comment: 33 pages, 10 figure
Context-Aware Kubernetes Scheduler for Edge-native Applications on 5G
This paper is an extension of work originally presented in SoftCOM 2019 [1]. The novelty of this work reside in its focused improvement of our scheduling algorithm towards its usage on a real 5G infrastructure. Industrial IoT applications are often designed to run in a distributed way on the devices and controller computers with strict service requirements for the nodes and the links between them. 5G, especially in concomitance with Edge Computing, will provide the desired level of connectivity for these setups and it will permit to host application run-time components in edge clouds. However, allocation of the edge cloud resources for Industrial IoT (IIoT) applications, is still commonly solved by rudimentary scheduling techniques (i.e. simple strategies based on CPU usage and device readiness, employing very few dynamic information). Orchestrators inherited from the cloud computing, like Kubernetes, are not satisfying to the requirements of the aforementioned applications and are not optimized for the diversity of devices which are often also limited in capacity. This design is especially slow in reacting to the environmental changes. In such circumstances, in order to provide a proper solution using these tools, we propose to take the physical, operational and network parameters (thus the full context of the IIoT application) into consideration, along with the software states and orchestrate the applications dynamically
A Multi-Site NFV Testbed for Experimentation With SUAV-Based 5G Vertical Services
[EN] With the advent of 5G technologies, vertical markets have been placed at the forefront,
as fundamental drivers and adopters of technical developments and new business models. Small Unmanned
Aerial Vehicles (SUAVs) are gaining traction in multiple vertical sectors, as key assets to generate, process,
and distribute relevant information for the provision of value-added services. However, the enormous
potential of SUAVs to support a exible, rapid, and cost-effective deployment of vertical applications is
still to be exploited. In this paper, we leverage our prior work on Network Functions Virtualization (NFV)
and SUAVs to design and build a multi-site experimentation testbed based on open-source technologies.
The goal of this testbed is to explore synergies among NFV, SUAVs, and vertical services, following a
practical approach primarily governed by experimentation. To verify our testbed design, we realized a
reference use case where a number of SUAVs, cloud infrastructures, and communication protocols are used to
provide a multi-site vertical service. Our experimentation results suggest the potential of NFV and SUAVs
to exibly support vertical services. The lessons learned have served to identify missing elements in our
NFV platform, as well as challenging aspects for potential improvement. These include the development of
speci c mechanisms to limit processing load and delays of service deployment operations.This work was supported in part by the European Commission under the European Union's Horizon 2020 program (5GRANGE Project, grant agreement number 777137), and in part by the 5GCity Project funded by the Spanish Ministry of Economy and Competitiveness under Grant TEC2016-76795-C6-1R, Grant TEC2016-76795-C6-3R, and Grant TEC2016-76795-C6-5R
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