La seguridad en redes SDN y sus aplicaciones

Introduction: The review article is the product of the research on Security in SDN networks and their applications, developed at the District University in 2020, presenting the latest advances, that have been made in security. Problem: The security weaknesses that SDN networks have had, due to being a new architecture. This has not allowed traditional networks to be replaced.   Objective: To carry out a review of the state of the art of SDN networks, focusing research on the security of the control layer and its advances. Methodology: The descriptive method is implemented, consulting databases such as Scopus, IEEE and ScienceDirect, using the following search criteria: SDN networks, security in SDN networks, applications with SDN networks and OpenFlow protocol. It is shown as a research sample: the Asian, European and American continents with years of research from 2014 to 2020. Results: Great advances have been made in terms of security for SDN networks, which allows us to see an early solution to the weaknesses that it currently faces.   Conclusion: SDN networks will solve all the challenges they face and will be consolidated as a solid and reliable architecture.   Originality: an important focus is taken on the security of SDN networks and the great development that has occurred in this regard is evident.   Limitations: SDN networks are a new architecture, so their development has been very little and advances in security have been significantly affected.Introducción: El artículo de revisión es producto de la investigación Seguridad en redes SDN y sus aplicaciones, desarrollada en la Universidad Distrital en el año 2020, presentando los últimos avances que se han logrado en seguridad. Problema: Las debilidades en seguridad que han tenido las redes SDN debido a ser una arquitectura nueva, esto no ha permitido que se reemplacen las redes tradicionales. Objetivo: realizar una revisión del estado del arte de las redes SDN enfocando la investigación la seguridad de la capa de control y sus avances. Metodología: se emplea el método descriptivo, se consultaron bases de datos como Scopus, IEEE y ScienceDirect, utilizando los siguientes criterios de búsqueda: SDN networks, security in SDN networks, applications with SDN networks y OpenFlow protocol, se tomó como muestra de investigación a los continentes asiático, europeo y americano con años de investigación desde el año 2014 hasta el año 2020. Resultados: se han desarrollado grandes avances en seguridad para las redes SDN, lo que permite ver una pronta solución a las debilidades que afronta en la actualidad. Conclusión: las redes SDN lograran resolver todos los retos a los que se enfrentan y se consolidara como una arquitectura sólida y confiable. Originalidad: se realiza un enfoque importante en la seguridad de las redes SDN y se evidencia el gran desarrollo que se ha presentado en este aspecto. Limitaciones: las redes SDN son una arquitectura nueva por lo que su desarrollo ha sido muy poco y los avances en seguridad se vieron afectados significativamente

Trend-Based Networking Driven by Big Data Telemetry for Sdn and Traditional Networks

International Journal of Next-Generation Networks (IJNGN) Vol.11, No.1, March 2019 Organizations face a challenge of accurately analyzing network data and providing automated action based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and improve the performance of the network services, but organizations use different network management tools to understand and visualize the network traffic with limited abilities to dynamically optimize the network. This research focuses on the development of an intelligent system that leverages big data telemetry analysis in Platform for Network Data Analytics (PNDA) to enable comprehensive trend-based networking decisions. The results include a graphical user interface (GUI) done via a web application for effortless management of all subsystems, and the system and application developed in this research demonstrate the true potential for a scalable system capable of effectively benchmarking the network to set the expected behavior for comparison and trend analysis. Moreover, this research provides a proof of concept of how trend analysis results are actioned in both a traditional network and a software-defined network (SDN) to achieve dynamic, automated load balancing.</p

A container orchestration development that optimizes the etherpad collaborative editing tool through a novel management system

The use of collaborative tools has notably increased recently. It is common to see distinct users that need to work simultaneously on shared documents. In most cases, large companies provide tools whose implementations have been a very complicated and expensive task. Likewise, their platform deployment requirements should be robust hardware infrastructures. It becomes even more critical when their main target is to reach scalability and highavailability. Therefore, this study aims to design and implement a microservices-based collaborative architecture using assembled containers in the cloud, enabling them to deploy Etherpad instances to guarantee high availability. To ensure such a task, we developed and optimized a central management system that creates Etherpad instances and continuously interacts with other Etherpad tools running on Docker containers. This design goes from the monolithic Etherpad instantiation and handling towards a service architecture, where every Etherpad is offered as a microservice. Furthermore, the management system follows (implements) the Observer, Factory Method, Proxy, and Service Layerpopular design patterns. This allows users to gain more privacy through access to validations and shared resources. Our results indicate both the correct operation in the automation of containers’ creation for new users who register in the system and quantifiable improvement in performance.The funding of this research is provided by the Mobility Regulation of the Universidad de las Fuerzas Armadas ESPE, from Sangolquí, Ecuado

Evaluating Performance of Serverless Virtualization

Abstract. The serverless computing has posed new challenges for cloud vendors that are difficult to solve with existing virtualization technologies. Maintaining security, resource isolation, backwards compatibility and scalability is extremely difficult when the platform should be able to deliver native performance. This paper contains a literature review of recently published results related to the performance of virtualization technologies such as KVM and Docker, and further reports a DESMET benchmarking evaluation against KVM and Docker, as well as Firecracker and gVisor, which are being used by Amazon Web Services and Google Cloud in their cloud services. The context for this research is coming from education, where students return their programming assignments into a source code repository system that further triggers automated tests and potentially other tasks against the submitted code. The used environment consists of several software components, such as web server, database and job executor, and thus represents a common architecture in web-based applications. The results of the research show that Docker is still the most performant virtualization technology amongst the selected ones. Additionally, Firecracker and gVisor perform better in some areas than KVM and thus are viable options for single-tenant environments. Lastly, applications that run untrusted code or have otherwise really high security requirements could potentially leverage from using either Firecracker or gVisor