Human machine interface performance and instrumentation for high availability systems

Trabalho de projecto de mestrado, Engenharia Informática (Sistemas de Informação), Universidade de Lisboa, Faculdade de Ciências, 2010Air Traffic Control (ATC) provides services whose objective is to manage aircrafts to ensure safely orderly and expeditious flows of traffic. The LISATM system has a number of Controller Working Positions equipped with surveillance display applications, the Operator Display System (ODS). Due to redundancy requirements, there are two equivalent applications developed with different technologies. This project focused on the Air Situation Display System (ASD), na application which provides a surveillance display with user-interaction capability and is developed in Java technology. The application integrates the Radar Fallback keeping the looks and feels from the ODS System, only being developed in a different programming language. Thus the present work focused on monitoring the performance of high availability Real-Time Human-Machine Interface applications. Recommendations were endorsed for quantifiable performance, being these activities accompanied by a corresponding demonstration of results suitability for the intended context. Modules were defined in order to instrument applications Human-Machine Interface High Performance and High Availability (HMI-HPHA) with features necessary and sufficient for the pursuit of Real- Time performance analysis. These modules were developed using JAVA technology using the Java Management eXtensions (JMX), to manage the created agents. All the monitoring services run in real-time so it can inform the managers of changes of the application state as soon as it happens. This implies that the information provided needs to be not only concise but also adequate to the context.O Controle de Tráfego Aéreo (ATC) presta serviços, cujo objectivo é direccionar o fluxo de aeronaves para garantir a ordem, rapidez e segurança do tráfego, bem como para dar informações aos pilotos. O sistema LISATM tem um número de postos de trabalho, para os controladores, equipado com aplicações de vigilância radar (Display System Operator - ODS). Devido a requisitos de redundância, existem duas aplicações equivalentes desenvolvidas com diferentes tecnologias. Este projecto focou-se no Air Display System (ASD). Aplicação que fornece vigilância radar com capacidade de interacção com o utilizador, sendo desenvolvido com tecnologia Java. A aplicação integra o Radar Fallback, mantendo o aspecto e mecânica de utilização igual ao Sistema ODS, com a diferença a residir na linguagem de programação. O foco do presente projecto incidiu sobre o desempenho de aplicações de Interface Homem-Máquina em Tempo-Real de elevada disponibilidade. Desta forma foram elaboradas propostas de recomendações de desempenho quantificáveis a serem incorporadas no ciclo de desenvolvimento de aplicações HMI-HPHA (Human-Machine Interface High Performance and High Availability). Estas foram acompanhadas da correspondente demonstração da adequabilidade ao contexto pretendido. Para isso foram definidos e desenvolvidos módulos de forma a instrumentar a aplicação HMIHPHA com as funcionalidades necessárias e suficientes para a persecução da análise de desempenho. Estes módulos foram desenvolvidos com recurso à tecnologia JAVA e às ferramentas de automatização dos mesmos, usando Java Management eXtensions (JMX) para gerir os agentes desenvolvidos. Todos os serviços de monitoria foram executados em Tempo-Real de modo a informar os gestores aquando de alguma mudança de estado da aplicação. Estas informações necessitam não só de ser concisas, mas também adequadas ao contexto

Hybrid mobile computing for connected autonomous vehicles

With increasing urbanization and the number of cars on road, there are many global issues on modern transport systems, Autonomous driving and connected vehicles are the most promising technologies to tackle these issues. The so-called integrated technology connected autonomous vehicles (CAV) can provide a wide range of safety applications for safer, greener and more efficient intelligent transport systems (ITS). As computing is an extreme component for CAV systems,various mobile computing models including mobile local computing, mobile edge computing and mobile cloud computing are proposed. However it is believed that none of these models fits all CAV applications, which have highly diverse quality of service (QoS) requirements such as communication delay, data rate, accuracy, reliability and/or computing latency.In this thesis, we are motivated to propose a hybrid mobile computing model with objective of overcoming limitations of individual models and maximizing the performances for CAV applications.In proposed hybrid mobile computing model three basic computing models and/or their combinations are chosen and applied to different CAV applications, which include mobile local computing, mobile edge computing and mobile cloud computing. Different computing models and their combinations are selected according to the QoS requirements of the CAV applications.Following the idea, we first investigate the job offloading and allocation of computing and communication resources at the local hosts and external computing centers with QoS aware and resource awareness. Distributed admission control and resource allocation algorithms are proposed including two baseline non-cooperative algorithms and a matching theory based cooperative algorithm. Experiment results demonstrate the feasibility of the hybrid mobile computing model and show large improvement on the service quality and capacity over existing individual computing models. The matching algorithm also largely outperforms the baseline non-cooperative algorithms.In addition, two specific use cases of the hybrid mobile computing for CAV applications are investigated: object detection with mobile local computing where only local computing resources are used, and movie recommendation with mobile cloud computing where remote cloud resources are used. For object detection, we focus on the challenges of detecting vehicles, pedestrians and cyclists in driving environment and propose three methods to an existing CNN based object detector. Large detection performance improvement is obtained over the KITTI benchmark test dataset. For movie recommendation we propose two recommendation models based on a general framework of integrating machine learning and collaborative filtering approach.The experiment results on Netix movie dataset show that our models are very effective for cold start items recommendatio

Optimal Discrete Rate Adaptation for Distributed Real-Time Systems with End-to-End Tasks

Many distributed real-time systems face the challenge of dynamically maximizing system utility in response to fluctuations in system workload. We present the MultiParametric Rate Adaptation (MPRA) algorithm for discrete rate adaptation in distributed real-time systems with end-to-end tasks. The key novelty and advantage of MPRA is that it can efficiently produce optimal solutions in response to workload changes such as dynamic task arrivals. Through oline preprocessing MPRA transforms a NP-hard utility optimization problem to a set of simple linear functions in different regions expressed in term of CPU utilization changes caused by workload variations. At run time MPRA produces optimal solutions by evaluating the linear function for the current region. Analysis and simulation results show that MPRA maximizes system utility in the presence of varying workloads, while reducing the online computation complexity to polynomial time

C-Band Airport Surface Communications System Standards Development, Phase I

This document is being provided as part of ITT's NASA Glenn Research Center Aerospace Communication Systems Technical Support (ACSTS) contract NNC05CA85C, Task 7: "New ATM Requirements--Future Communications, C-Band and L-Band Communications Standard Development." The proposed future C-band (5091- to 5150-MHz) airport surface communication system, referred to as the Aeronautical Mobile Airport Communications System (AeroMACS), is anticipated to increase overall air-to-ground data communications systems capacity by using a new spectrum (i.e., not very high frequency (VHF)). Although some critical services could be supported, AeroMACS will also target noncritical services, such as weather advisory and aeronautical information services as part of an airborne System Wide Information Management (SWIM) program. AeroMACS is to be designed and implemented in a manner that will not disrupt other services operating in the C-band. This report defines the AeroMACS concepts of use, high-level system requirements, and architecture; the performance of supporting system analyses; the development of AeroMACS test and demonstration plans; and the establishment of an operational AeroMACS capability in support of C-band aeronautical data communications standards to be advanced in both international (International Civil Aviation Organization, ICAO) and national (RTCA) forums. This includes the development of system parameter profile recommendations for AeroMACS based on existing Institute of Electrical and Electronics Engineering (IEEE) 802.16e- 2009 standard

Robotic Wireless Sensor Networks

In this chapter, we present a literature survey of an emerging, cutting-edge, and multi-disciplinary field of research at the intersection of Robotics and Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system that aims to achieve certain sensing goals while meeting and maintaining certain communication performance requirements, through cooperative control, learning and adaptation. While both of the component areas, i.e., Robotics and WSN, are very well-known and well-explored, there exist a whole set of new opportunities and research directions at the intersection of these two fields which are relatively or even completely unexplored. One such example would be the use of a set of robotic routers to set up a temporary communication path between a sender and a receiver that uses the controlled mobility to the advantage of packet routing. We find that there exist only a limited number of articles to be directly categorized as RWSN related works whereas there exist a range of articles in the robotics and the WSN literature that are also relevant to this new field of research. To connect the dots, we first identify the core problems and research trends related to RWSN such as connectivity, localization, routing, and robust flow of information. Next, we classify the existing research on RWSN as well as the relevant state-of-the-arts from robotics and WSN community according to the problems and trends identified in the first step. Lastly, we analyze what is missing in the existing literature, and identify topics that require more research attention in the future