Performance Benchmarking of State-of-the-Art Software Switches for NFV

With the ultimate goal of replacing proprietary hardware appliances with Virtual Network Functions (VNFs) implemented in software, Network Function Virtualization (NFV) has been gaining popularity in the past few years. Software switches route traffic between VNFs and physical Network Interface Cards (NICs). It is of paramount importance to compare the performance of different switch designs and architectures. In this paper, we propose a methodology to compare fairly and comprehensively the performance of software switches. We first explore the design spaces of seven state-of-the-art software switches and then compare their performance under four representative test scenarios. Each scenario corresponds to a specific case of routing NFV traffic between NICs and/or VNFs. In our experiments, we evaluate the throughput and latency between VNFs in two of the most popular virtualization environments, namely virtual machines (VMs) and containers. Our experimental results show that no single software switch prevails in all scenarios. It is, therefore, crucial to choose the most suitable solution for the given use case. At the same time, the presented results and analysis provide a deeper insight into the design tradeoffs and identifies potential performance bottlenecks that could inspire new designs.Comment: 17 page

Design, implementation and benchmark of a RINA-based virtual networking solution for distributed VNFs

Scenarios where network functions are getting decoupled from the hardware they are running on is appearing as a common use case nowadays. Datacenters distributed in different network segments need to run this functions virtually and orchestrate them, which is not a simple task. A promising solution to such challenging environment is to use RINA as a network virtualization framework to support applications in the cloud, which natively brings capabilities that current network architectures need to add as ad-hoc solutions, such as support for mobility, multi-homing and flexible support for mapping application QoS requests in internal network policies. This paper has carried out the design, implementation and initial benchmarking of a software-based, performing RINA implementation that provides a network solution to provide connectivity in a distributed VNF context

Accelerating Network Functions using Reconfigurable Hardware. Design and Validation of High Throughput and Low Latency Network Functions at the Access Edge

Providing Internet access to billions of people worldwide is one of the main technical challenges in the current decade. The Internet access edge connects each residential and mobile subscriber to this network and ensures a certain Quality of Service (QoS). However, the implementation of access edge functionality challenges Internet service providers: First, a good QoS must be provided to the subscribers, for example, high throughput and low latency. Second, the quick rollout of new technologies and functionality demands flexible configuration and programming possibilities of the network components; for example, the support of novel, use-case-specific network protocols. The functionality scope of an Internet access edge requires the use of programming concepts, such as Network Functions Virtualization (NFV). The drawback of NFV-based network functions is a significantly lowered resource efficiency due to the execution as software, commonly resulting in a lowered QoS compared to rigid hardware solutions. The usage of programmable hardware accelerators, named NFV offloading, helps to improve the QoS and flexibility of network function implementations. In this thesis, we design network functions on programmable hardware to improve the QoS and flexibility. First, we introduce the host bypassing concept for improved integration of hardware accelerators in computer systems, for example, in 5G radio access networks. This novel concept bypasses the system’s main memory and enables direct connectivity between the accelerator and network interface card. Our evaluations show an improved throughput and significantly lowered latency jitter for the presented approach. Second, we analyze different programmable hardware technologies for hardware-accelerated Internet subscriber handling, including three P4-programmable platforms and FPGAs. Our results demonstrate that all approaches have excellent performance and are suitable for Internet access creation. We present a fully-fledged User Plane Function (UPF) designed upon these concepts and test it in an end-to-end 5G standalone network as part of this contribution. Third, we analyze and demonstrate the usability of Active Queue Management (AQM) algorithms on programmable hardware as an expansion to the access edge. We show the feasibility of the CoDel AQM algorithm and discuss the challenges and constraints to be considered when limited hardware is used. The results show significant improvements in the QoS when the AQM algorithm is deployed on hardware. Last, we focus on network function benchmarking, which is crucial for understanding the behavior of implementations and their optimization, e.g., Internet access creation. For this, we introduce the load generation and measurement framework P4STA, benefiting from flexible software-based load generation and hardware-assisted measuring. Utilizing programmable network switches, we achieve a nanosecond time accuracy while generating test loads up to the available Ethernet link speed

MACSAD: Sistema de Compilador Multi-Arquitetura para Planos de Dados Abstratos

Orientador: Christian Rodolfo Esteve RothenbergTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de ComputaçãoResumo: Redes Definidas por Software (Software-Defined Networking - SDN) almejam um plano de dados programável, além de planos de controle e aplicação flexíveis e escaláveis. Apesar de ter recebido menor atenção quando comparado aos aspectos dos planos de controle e aplicação, o plano de dados concerne uma peça chave nos enigmas de SDN. Nós contemplamos um plano de dados flexível apresentando as características, nomeadas, Programabilidade, Portabilidade, Desempenho e Escalabilidade (Programmability, Portability, Performance, and Scalability - 3PS) como diferentes aspectos de flexibilidade. Enquanto os aspectos de Programabilidade e Portabilidade focam na arquitetura e projeto do plano de dados, Desempenho e Escalabilidade aparecem durante a avaliação do mesmo. Estendemos o foco da evolução do plano de dados de Programabilidade da escola de pensamento SDN para incluir Portabilidade como aspecto de flexibilidade. O plano de dados programável confirma a natureza independente do protocolo, enquanto a Portabilidade atende aos requisitos de arquitetura múltipla do projeto do plano de dados. A linguagem P4, uma nova entrante, sendo uma linguagem de programação de alto nível independente do protocolo e independente do alvo, é capaz de levar a evolução do plano de dados ao próximo nível, desbloqueando as facetas desejadas da flexibilidade do plano de dados. Para trazer esse nível necessário de flexibilidade para um plano de dados, é necessário um sistema de compilador com várias arquiteturas que possa compilar um programa P4 em conformidade com o protocolo e a natureza de independência de destino de P4; No entanto, essa solução de sistema de compilador unificado é o que nos falta. A principal contribuição desta tese, a proposta do Sistema de Compiladores de Arquitetura Múltipla para Planos de Dados (Multi-Architecture Compiler System for Abstract Dataplanes - MACSAD), é um esforço para preencher a lacuna estendendo a abordagem Top-Down de P4 em direção à programabilidade com a abordagem Bottom-Up do OpenDataPlane (ODP) em direção à independência de destino com suas APIs de baixo nível, mas de plataforma cruzada (HW & SW). Reforçamos as contribuições desta tese incluindo aspectos de Desempenho e Escalabilidade da flexibilidade também como parte de nossa avaliação do MACSAD em múltiplos cenários realistasAbstract: Software-Defined Networking (SDN) strives for programmable data plane, yet flexible and scalable control and application planes. Despite having received less attention compared to control and application aspects of SDN, data planes are a critical piece of the SDN puzzle. We envision a flexible data plane showing characteristics, namely, Programmability, Portability, Performance, and Scalability (3PS) as different aspects of flexibility. While Programmability & Portability aspects focus on the architecture and design of the data plane, Performance & Scalability appears during the evaluation of it. We extend the focus of data plane evolution from Programmability from SDN school of thought to include Portability aspect of flexibility. Programmable data plane confirms to protocol-independent nature, whereas Portability addresses multi-architecture requirements of data plane design. P4 language, a new entrant, being a protocol-independent and target-independent high-level programming language is capable to take data plane evolution to the next level by unlocking the desired facets of data plane flexibility. To bring this required level of flexibility to a data plane, a multi-architecture compiler system is necessary which can compile P4 program conforming to protocol & target independence nature of P4; However, such a unified compiler system solution is what we lack of. The main contribution of this thesis, the MACSAD proposal, is an effort to fill the gap by extending the Top-Down approach of P4 towards programmability with Bottom-Up approach of OpenDataPlane (ODP) towards target-independence with its low-level but cross-platform (HW & SW) APIs. We strengthen the contributions of this thesis by including Performance, and Scalability aspects of flexibility too as part of our evaluation of MACSAD in multiple realistic scenariosDoutoradoEngenharia de ComputaçãoDoutor em Engenharia Elétric

Design and development of an SDN robotic system with intelligent openflow IOT testbeds for power assessment, prediction and fault management

This thesis was submitted for the award of Docctor of Philosophy and was awarded by Brunel University LondonCurrent wind turbine and power grid industry have relatively little research and development with regards to implementing novel communication network and intel- ligent system to overcome issues that pertain to network failure and lack of monitor- ing. Wind turbine location could be a big concern when it comes to identifying an efficient location for future wind turbine and the impact of a site with non-efficient meteorological parameters can result in relocation of a wind turbine and revenue- loss. Unplanned wind turbine shutdowns that are considered to be one of the major revenue-loss factors of a modern wind farm business. Typically, the unplanned wind turbine shutdown is a result of sensors fail due to harsh environment challenges that prevent hardware status from being available on the monitoring system. The above mentioned research problems pertain to wind turbine site assessment and predic- tion of power. In this thesis, a novel programmable software-defined robotics and IoT testbeds are proposed with the fusion of Artificial Intelligence and optimiza- tion methods to solve specific problems related to wind turbine site assessment and fault management. The site selection process is implemented using proposed aerial and ground robotic systems that are incorporated with Software-Defined Networks and OpenFlow switching capabilities. A second stage development of the system is proposing a prediction platform that run on the aerial robot cluster using neural net- works optimization regression techniques. To overcome the unplanned wind turbine network outage, an IoT micro cloud cluster system is proposed that act as immedi- ate fail-over platform to provide continuous health readings of the wind turbine to ensure the turbine in question will not get shutdown unnecessarily. The proposed system help in minimizing revenue-loss caused by stopping a wind turbine from op- eration and help maintain generated power stability on the grid. Additionally, since large wind farms require an agile and scalable management of selecting the most efficient wind turbine location install. Thus, a softwarized cognitive routing proto- col is proposed. The group of quadcopters is a redundant failover Software-Defined Network/OpenFlow system that can cover every single way point of the farm land. Although, power consumption is essential for the continuity the service, a Software- Defined charging system testbed is proposed that uses inductive power transfer wit