Addressing software impact in the design of remote laboratories

Remote Laboratories or WebLabs constitute a first-order didactic resource in engineering faculties. However, in many cases, they lack a proper software design, both in the client and server side, which degrades their quality and academic usefulness. This paper presents the main characteristics of a Remote Laboratory, analyzes the software technologies to implement the client and server sides in a WebLab, and correlates these technologies with the characteristics to facilitate the selection of a technology to implement a WebLab. The results obtained suggest the adoption of a Service Oriented Laboratory Architecture-based approach for the design of future Remote Laboratories so that client-agnostic Remote Laboratories and Remote Laboratory composition are enabled. The experience with the real Remote Laboratory, WebLab-Deusto, is also presented.

An internet DGPS service for precise outdoor navigation

The goal of the work presented in this paper is to provide mobile platforms within our campus with a GPS based data service capable of supporting precise outdoor navigation. This can be achieved by providing campus-wide access to real time Differential GPS (DGPS) data. As a result, we designed and implemented a three-tier distributed system that provides Internet data links between remote DGPS sources and the campus and a campus-wide DGPS data dissemination service. The Internet data link service is a two-tier client/server where the server-side is connected to the DGPS station and the client-side is located at the campus. The campus-wide DGPS data provider disseminates the DGPS data received at the campus via the campus Intranet and via a wireless data link. The wireless broadcast is intended for portable receivers equipped with a DGPS wireless interface and the Intranet link is provided for receivers with a DGPS serial interface. The application is expected to provide adequate support for accurate outdoor campus navigation tasks.

Brokerage Platform for Media Content Recommendation

Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B) side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C) side, with a personalised electronic programme guide (EPG) containing the set of recommended items after negotiation. In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. The rule-based system selects, at runtime, the filter(s) to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially passive users, and (iv) a new content-based filter named the collinearity and proximity similarity (CPS). At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents.

P-SOCRATES: A parallel software framework for time-critical many-core systems

Article in Press, Corrected Proof

Parallel Software framework for time-critical many-core systems

The recent technological advancements and market trends are causing an interesting phenomenon towards the convergence of High-Performance Computing (HPC) and Embedded Computing (EC) domains. On one side, new kinds of HPC applications are being required by markets needing huge amounts of information to be processed within a bounded amount of time. On the other side, EC systems are increasingly concerned with providing higher performance in real-time, challenging the performance capabilities of current architectures. The advent of next-generation many-core embedded platforms has the chance of intercepting this converging need for predictable high-performance, allowing HPC and EC applications to be executed on efficient and powerful heterogeneous architectures integrating general-purpose processors with many-core computing fabrics. To this end, it is of paramount importance to develop new techniques for exploiting the massively parallel computation capabilities of such platforms in a predictable way. P-SOCRATES will tackle this important challenge by merging leading research groups from the HPC and EC communities. The time-criticality and parallelisation challenges common to both areas will be addressed by proposing an integrated framework for executing workload-intensive applications with real-time requirements on top of next-generation commercial-off-the-shelf (COTS) platforms based on many-core accelerated architectures. The project will investigate new HPC techniques that fulfil real-time requirements. The main sources of indeterminism will be identified, proposing efficient mapping and scheduling algorithms, along with the associated timing and schedulability analysis, to guarantee the real-time and performance requirements of the applications.

Desenvolvimento de Frameworks de Testes Automáticos de Software

O objetivo deste trabalho é o desenvolvimento de frameworks de testes automáticos de software. Este tipo de testes normalmente está associado ao modelo evolucionário e às metodologias ágeis de desenvolvimento de software, enquanto que os testes manuais estão relacionados com o modelo em cascata e as metodologias tradicionais. Como tal foi efetuado um estudo comparativo sobre os tipos de metodologias e de testes existentes, para decidir quais os que melhor se adequavam ao projeto e dar resposta à questão "Será que realmente compensa realizar testes (automáticos)?". Finalizado o estudo foram desenvolvidas duas frameworks, a primeira para a implementação de testes funcionais e unitários sem dependências a ser utilizada pelos estagiários curriculares da LabOrders, e a segunda para a implementação de testes unitários com dependências externas de base de dados e serviços, a ser utilizada pelos funcionários da empresa. Nas últimas duas décadas as metodologias ágeis de desenvolvimento de software não pararam de evoluir, no entanto as ferramentas de automação não conseguiram acompanhar este progresso. Muitas áreas não são abrangidas pelos testes e por isso alguns têm de ser feitos manualmente. Posto isto foram criadas várias funcionalidades inovadoras para aumentar a cobertura dos testes e tornar as frameworks o mais intuitivas possível, nomeadamente: 1. Download automático de ficheiros através do Internet Explorer 9 (e versões mais recentes). 2. Análise do conteúdo de ficheiros .pdf (através dos testes). 3. Obtenção de elementos web e respetivos atributos através de código jQuery utilizando a API WebDriver com PHP bindings. 4. Exibição de mensagens de erro personalizadas quando não é possível encontrar um determinado elemento. As frameworks implementadas estão também preparadas para a criação de outros testes (de carga, integração, regressão) que possam vir a ser necessários no futuro. Foram testadas em contexto de trabalho pelos colaboradores e clientes da empresa onde foi realizado o projeto de mestrado e os resultados permitiram concluir que a adoção de uma metodologia de desenvolvimento de software com testes automáticos pode aumentar a produtividade, reduzir as falhas e potenciar o cumprimento de orçamentos e prazos dos projetos das organizações.

A Multi–Agent Brokerage Platform for Media Content Recommendation

Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B) side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C) side, with a personalised electronic programme guide (EPG) containing the set of recommended items after negotiation. In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. The rule-based system selects, at runtime, the filter(s) to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i) a novel item stereotype to represent newly arrived items, (ii) a standard user stereotype for new users, (iii) a novel passive user tag cloud stereotype for socially passive users, and (iv) a new content-based filter named the collinearity and proximity similarity (CPS). At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents.

Quality-of-service aware routing for static and mobile IPv6-based low-power and lossy sensor networks using RPL

The Internet of Things (IoT) has emerged as a paradigm over the last few years as a result of the tight integration of the computing and the physical world. The requirement of remote sensing makes low-power wireless sensor networks one of the key enabling technologies of IoT. These networks encompass several challenges, especially in communication and networking, due to their inherent constraints of low-power features, deployment in harsh and lossy environments, and limited computing and storage resources. The IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) [1] was proposed by the IETF ROLL (Routing Over Low-power Lossy links) working group and is currently adopted as an IETF standard in the RFC 6550 since March 2012. Although RPL greatly satisfied the requirements of low-power and lossy sensor networks, several issues remain open for improvement and specification, in particular with respect to Quality of Service (QoS) guarantees and support for mobility. In this paper, we focus mainly on the RPL routing protocol. We propose some enhancements to the standard specification in order to provide QoS guarantees for static as well as mobile LLNs. For this purpose, we propose OF-FL (Objective Function based on Fuzzy Logic), a new objective function that overcomes the limitations of the standardized objective functions that were designed for RPL by considering important link and node metrics, namely end-to-end delay, number of hops, ETX (Expected transmission count) and LQL (Link Quality Level). In addition, we present the design of Co-RPL, an extension to RPL based on the corona mechanism that supports mobility in order to overcome the problem of slow reactivity to frequent topology changes and thus providing a better quality of service mainly in dynamic networks application. Performance evaluation results show that both OF-FL and Co-RPL allow a great improvement when compared to the standard specification, mainly in terms of packet loss ratio and average network latency. 2015 Elsevier B.V. Al

PIASA: A power and interference aware resource management strategy for heterogeneous workloads in cloud data centers

Cloud data centers have been progressively adopted in different scenarios, as reflected in the execution of heterogeneous applications with diverse workloads and diverse quality of service (QoS) requirements. Virtual machine (VM) technology eases resource management in physical servers and helps cloud providers achieve goals such as optimization of energy consumption. However, the performance of an application running inside a VM is not guaranteed due to the interference among co-hosted workloads sharing the same physical resources. Moreover, the different types of co-hosted applications with diverse QoS requirements as well as the dynamic behavior of the cloud makes efficient provisioning of resources even more difficult and a challenging problem in cloud data centers. In this paper, we address the problem of resource allocation within a data center that runs different types of application workloads, particularly CPU- and network-intensive applications. To address these challenges, we propose an interference- and power-aware management mechanism that combines a performance deviation estimator and a scheduling algorithm to guide the resource allocation in virtualized environments. We conduct simulations by injecting synthetic workloads whose characteristics follow the last version of the Google Cloud tracelogs. The results indicate that our performance-enforcing strategy is able to fulfill contracted SLAs of real-world environments while reducing energy costs by as much as 21%.

Aplicação de um software de cálculo automático na verificação aos estados limites de utilização em estruturas de Betão Armado

Actualmente e cada vez mais, são concebidos e utilizados programas de cálculo automático de Engenharia na realização de projectos de edifícios, que proporcionam aos engenheiros uma possibilidade avançada e rápida de execução, simulação e análise de edifícios para estruturas complexas e de elevada dimensão. Contudo, será necessário que os resultados deverão ser fiáveis de modo a não existirem consequências no comportamento real da estrutura a longo prazo. O presente relatório de estágio, refere-se à verificação aos estados limites de utilização (tensões, fendilhação e deformação) segundo o Eurocódigo 2, de uma estrutura porticada em betão armado, nomeadamente de um pórtico central pertencente a essa mesma estrutura recorrendo ao programa de cálculo automático da Autodesk o Robot Structural Analysis Professional 2014. O objectivo principal do presente trabalho consiste na comparação de resultados referente aos estados limites últimos e de utilização, pelos diferentes módulos de dimensionamento Required e Provided Reinforcement presentes no programa Robot. É destacado no final do relatório, considerando uma disposição de armadura optada analiticamente para o pórtico, uma análise comparativa de resultados referente aos estados limites de utilização entre o comando Typical Reinforcement do módulo Provided Reinforcement e por expressões analíticas. Refere-se contudo que, o procedimento do método analítico teve como base de cálculo uma aplicação desenvolvida para a verificação de elementos de betão armado aos estados limites de utilização segundo o Eurocódigo 2, com o nome de XD-Conserv tendo sido também comparado os resultados finais do mesmo.