Algorithms for advance bandwidth reservation in media production networks

Media production generally requires many geographically distributed actors (e.g., production houses, broadcasters, advertisers) to exchange huge amounts of raw video and audio data. Traditional distribution techniques, such as dedicated point-to-point optical links, are highly inefficient in terms of installation time and cost. To improve efficiency, shared media production networks that connect all involved actors over a large geographical area, are currently being deployed. The traffic in such networks is often predictable, as the timing and bandwidth requirements of data transfers are generally known hours or even days in advance. As such, the use of advance bandwidth reservation (AR) can greatly increase resource utilization and cost efficiency. In this paper, we propose an Integer Linear Programming formulation of the bandwidth scheduling problem, which takes into account the specific characteristics of media production networks, is presented. Two novel optimization algorithms based on this model are thoroughly evaluated and compared by means of in-depth simulation results

Gestión Automática de Incidentes e Inventarios GAII

Uno de los problemas que enfrentan los grandes ambientes informáticos es conocer en tiempo real el parque informático del cual dispone, el estado de cada componente, las condiciones en las cuales se encuentran, y si están en reparación o desuso. Actualmente, se han implementado algunas aplicaciones para inventariar los equipos y el software que forman parte del activo informático de diversos organismos. Estas aplicaciones permiten registrar en forma manual las distintas actualizaciones del inventario, ya sea por compras, bajas, reparaciones, etc. Frente a esta problemática se diseñará una aplicación que permitirá implementar en forma automatizada el registro y control del inventario del hardware en cualquier establecimiento tanto público como privado, pero fundamentalmente, alertar ante el reemplazo y/o sustracción no autorizada de piezas en los equipos. Dicho Sistema de Alertas, será un subsistema del Sistema creado por el proyecto ya desarrollado durante período 2008-2010, Seguridad en Ambientes Informáticos (SAI).Eje: Seguridad InformáticaRed de Universidades con Carreras en Informática (RedUNCI

Inventario seguro con alertas automáticas en ambientes informáticos de activos TI (I.S.A.)

Actualmente, diversos organismos que poseen una gran plataforma de dispositivos en su red, se encuentran con la problemática de llevar un inventario actualizado e informatizado, que les permita mantener la trazabilidad de éstos; lo complejo es la generación de alertas automáticas a los continuos cambios. La idea de resolver lo antes mencionado se gestó en uno de los laboratorios de la universidad, frente a la necesidad de tener control sobre el hardware instalado en los gabinetes de clases y laboratorios de investigación. De acuerdo con la exhaustiva exploración realizada sobre las aplicaciones propietarias y de código abierto que permiten inventariar y/o administrar el hardware de un sistema informático disponibles en mercado a la fecha, y luego de analizar las prestaciones de las mismas comparándolas y adecuándolas a los requerimientos del proyecto de investigación, se decidió utilizar los datos obtenidos por una aplicación de código abierto y libre disposición como soporte para la generación de las bases de datos que utilizará el subsistema a desarrollar, pues ésta permite visualizar el inventario a través de una interfaz web, pero no llevar registros sucesivos de la información que genera, es decir no genera un historial del hardware inventariado. Se trabajó en máquinas virtuales con sistemas operativos y software GNU necesarios para las pruebas, y sustentando el estudio con el empleo del método empírico. Este desarrollo, que será escalable, se integrará para optimizar y completar una suite de herramientas que ya funcionan en el laboratorio. El propósito es lograr un sistema integral, vía web, que sea de libre uso y de fácil acceso para cualquier organismo que lo requiera, haciendo hincapié en brindar un sistema seguro y de muy bajo costo, que genere alertas automáticas y registro de historial, contribuyendo al desarrollo de recursos humanos específicos en éstas temáticas por un lado, y por el otro colaborar a la seguridad, principalmente en las instituciones públicas del país donde generalmente se sufre sustracciones indetectables por parte de intrusos. Esto responde a que la aplicación permitirá el monitoreo para generar alertas automáticas del activo informático de estos entes en forma gratuita; al tratarse de un software de código abierto, todo aquel que desee implementar el sistema podrá acceder a la aplicación y su código, como así también adaptarlo para la estructura del ambiente informático sobre el cual lo desee trabajar.publishedVersio

A Cognitive Routing framework for Self-Organised Knowledge Defined Networks

This study investigates the applicability of machine learning methods to the routing protocols for achieving rapid convergence in self-organized knowledge-defined networks. The research explores the constituents of the Self-Organized Networking (SON) paradigm for 5G and beyond, aiming to design a routing protocol that complies with the SON requirements. Further, it also exploits a contemporary discipline called Knowledge-Defined Networking (KDN) to extend the routing capability by calculating the “Most Reliable” path than the shortest one. The research identifies the potential key areas and possible techniques to meet the objectives by surveying the state-of-the-art of the relevant fields, such as QoS aware routing, Hybrid SDN architectures, intelligent routing models, and service migration techniques. The design phase focuses primarily on the mathematical modelling of the routing problem and approaches the solution by optimizing at the structural level. The work contributes Stochastic Temporal Edge Normalization (STEN) technique which fuses link and node utilization for cost calculation; MRoute, a hybrid routing algorithm for SDN that leverages STEN to provide constant-time convergence; Most Reliable Route First (MRRF) that uses a Recurrent Neural Network (RNN) to approximate route-reliability as the metric of MRRF. Additionally, the research outcomes include a cross-platform SDN Integration framework (SDN-SIM) and a secure migration technique for containerized services in a Multi-access Edge Computing environment using Distributed Ledger Technology. The research work now eyes the development of 6G standards and its compliance with Industry-5.0 for enhancing the abilities of the present outcomes in the light of Deep Reinforcement Learning and Quantum Computing

Sofie: Smart Operating System For Internet Of Everything

The proliferation of Internet of Things and the success of rich cloud services have pushed the horizon of a new computing paradigm, Edge computing, which calls for processing the data at the edge of the network. Applications such as cloud offloading, smart home, and smart city are idea area for Edge computing to achieve better performance than cloud computing. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. However, there are still some challenges for applying Edge computing in our daily life. The missing of the specialized operating system for Edge computing is holding back the flourish of Edge computing applications. Service management, device management, component selection as well as data privacy and security is also not well supported yet in the current computing structure. To address the challenges for Edge computing systems and applications in these aspects, we have planned a series of empirical and theoretical research. We propose SOFIE: Smart Operating System For Internet Of Everything. SOFIE is the operating system specialized for Edge computing running on the Edge gateway. SOFIE could establish and maintain a reliable connection between cloud and Edge device to handle the data transportation between gateway and Edge devices; to provide service management and data management for Edge applications; to protect data privacy and security for Edge users; to guarantee the wellness of the Edge devices. Moreover, SOFIE also provide a naming mechanism to connect Edge device more efficiently. To solve the component selection problem in Edge computing paradigm, SOFIE also include our previous work, SURF, as a model to optimize the performance of the system. Finally, we deployed the design of SOFIE on an IoT/M2M system and support semantics with access control

Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid

This PhD thesis addresses the complexity of the energy efficiency control problem in residential and industrial customers of Smart electrical Grid, and examines the main factors that affect energy demand, and proposes an intelligent decision support system for applications of demand response. A multi criteria decision making algorithm is combined with a combinatorial optimization technique to assist energy managers to decide whether to participate in demand response programs or obtain energy from distributed energy resources

Internet of Things: Architecture and Services for Healthcare

Internet of Things (IoT) is a recent prominent collaboration of various technologies that enables spatially distributed devices (“things”) to sense, communicate and share information, thus generating a variety of applications and services in Healthcare. IoT is implemented in multiple domains like Smart city, energy and smart grid, Smart home, weather forecasting, Agriculture, Market and Transportation, Manufacturing and testing industries, Healthcare and many more. IoT serves the purpose of making tasks more efficient and productive and at the same time ensuring quality and reliability. IoT technologies provide an enabling framework for inter-connecting devices, systems, and services that go beyond Machine-to-Machine scenarios within today’s internet infrastructure. Healthcare industry is among the fastest fields to embrace IoT for numerous health services. IoT technologies will enable doctors / physicians / caretakers to be in touch with patients all the time. Various physiological parameters and markers can be monitored on a real-time basis for early detection of serious health symptoms that could endanger the life of patients. Diagnosis of diseases can be more accurate and in time for early treatment which will significantly improve recovery time. Diagnostic medical devices, sensors, and imaging devices that are integrated within the network for building an efficient and real-time system. The market for IoT in the healthcare sector is expected to grow rapidly in terms of connecting hospitals with patients for remote monitoring, emergency care services and remote surgery through augmented virtual reality. This thesis explores advances in IoT- based technologies in the healthcare environment. The thesis presents an architecture that defines a possible reference platform for seamless inter-connectivity between devices and software systems to enable new services. The architecture has multiple layers each of which performs specific functions to enable the realization of novel healthcare services. The thesis provides a comprehensive comparison between different Short range communication technologies, Mobile communication and Low Power Wide Area (LPWA) technologies. Based upon different scenarios of IoT healthcare services implementation, data computation capabilities provided by various cloud computing models and edge computing models are also discussed. The thesis provides a survey on various healthcare services that are implemented inside (and outside) hospital premises, e.g., remote health monitoring, Ambient Assisted Living among others. The impact of two prominent key technologies: Network Functions Virtualization (NFV) and Software Defined Networks (SDN) has been discussed and showed the benefits of implementing control and management function-especially at the edge network- utilizing SDN/NFV. This provides a flexible approach for deployment of healthcare services in close proximity to computing resources and improves communication control. IoT acknowledges a reliable and secure data exchange in real-time and oriented to improve Quality of Life (QoL). Internet of Things (IoT) serves the purpose of the advance concatenation of devices, systems, and services that go beyond the Machine-to-Machine scenario within today’s internet infrastructure with extended benefits

Next generation control of transport networks

It is widely understood by telecom operators and industry analysts that bandwidth demand is increasing dramatically, year on year, with typical growth figures of 50% for Internet-based traffic [5]. This trend means that the consumers will have both a wide variety of devices attaching to their networks and a range of high bandwidth service requirements. The corresponding impact is the effect on the traffic engineered network (often referred to as the “transport network”) to ensure that the current rate of growth of network traffic is supported and meets predicted future demands. As traffic demands increase and newer services continuously arise, novel network elements are needed to provide more flexibility, scalability, resilience, and adaptability to today’s transport network. The transport network provides transparent traffic engineered communication of user, application, and device traffic between attached clients (software and hardware) and establishing and maintaining point-to-point or point-to-multipoint connections. The research documented in this thesis was based on three initial research questions posed while performing research at British Telecom research labs and investigating control of transport networks of future transport networks: 1. How can we meet Internet bandwidth growth yet minimise network costs? 2. Which enabling network technologies might be leveraged to control network layers and functions cooperatively, instead of separated network layer and technology control? 3. Is it possible to utilise both centralised and distributed control mechanisms for automation and traffic optimisation? This thesis aims to provide the classification, motivation, invention, and evolution of a next generation control framework for transport networks, and special consideration of delivering broadcast video traffic to UK subscribers. The document outlines pertinent telecoms technology and current art, how requirements I gathered, and research I conducted, and by which the transport control framework functional components are identified and selected, and by which method the architecture was implemented and applied to key research projects requiring next generation control capabilities, both at British Telecom and the wider research community. Finally, in the closing chapters, the thesis outlines the next steps for ongoing research and development of the transport network framework and key areas for further study