Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

A framework for efficient model transformations

The reported productivity gains while using models and model transformations to develop entire systems, after almost a decade of experience applying model-driven approaches for system development, are already undeniable benefits of this approach. However, the slowness of higher-level, rule based model transformation languages hinders the applicability of this approach to industrial scales. Lower-level, and efficient, languages can be used but productivity and easy maintenance seize to exist. The abstraction penalty problem is not new, it also exists for high-level, object oriented languages but everyone is using them now. Why is not everyone using rule based model transformation languages then? In this thesis, we propose a framework, comprised of a language and its respective environment, designed to tackle the most performance critical operation of high-level model transformation languages: the pattern matching. This framework shows that it is possible to mitigate the performance penalty while still using high-level model transformation languages.

Diffusional kurtosis imaging using a fast heuristic constrained linear least squares algorithm: a plugin for OsiriX

Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking into account the restrictions imposed by tissue microstructure, which are not considered in Diffusion Tensor Imaging (DTI), where the water diffusion is considered purely gaussian. As a result DKI provides more accurate information on biological structures and is able to detect important abnormalities which are not visible in standard DTI analysis. This work regards the development of a tool for DKI computation to be implemented as an OsiriX plugin. Thus, as OsiriX runs under Mac OS X, the pro-gram is written in Objective-C and also makes use of Apple’s Cocoa framework. The whole program is developed in the Xcode integrated development environ-ment (IDE). The plugin implements a fast heuristic constrained linear least squares al-gorithm (CLLS-H) for estimating the diffusion and kurtosis tensors, and offers the user the possibility to choose which maps are to be generated for not only standard DTI quantities such as Mean Diffusion (MD), Radial Diffusion (RD), Axial Diffusion (AD) and Fractional Anisotropy (FA), but also DKI metrics, Mean Kurtosis (MK), Radial Kurtosis (RK) and Axial Kurtosis (AK).The plugin was subjected to both a qualitative and a semi-quantitative analysis which yielded convincing results. A more accurate validation pro-cess is still being developed, after which, and with some few minor adjust-ments the plugin shall become a valid option for DKI computation

A new MDA-SOA based framework for intercloud interoperability

Cloud computing has been one of the most important topics in Information Technology which aims to assure scalable and reliable on-demand services over the Internet. The expansion of the application scope of cloud services would require cooperation between clouds from different providers that have heterogeneous functionalities. This collaboration between different cloud vendors can provide better Quality of Services (QoS) at the lower price. However, current cloud systems have been developed without concerns of seamless cloud interconnection, and actually they do not support intercloud interoperability to enable collaboration between cloud service providers. Hence, the PhD work is motivated to address interoperability issue between cloud providers as a challenging research objective. This thesis proposes a new framework which supports inter-cloud interoperability in a heterogeneous computing resource cloud environment with the goal of dispatching the workload to the most effective clouds available at runtime. Analysing different methodologies that have been applied to resolve various problem scenarios related to interoperability lead us to exploit Model Driven Architecture (MDA) and Service Oriented Architecture (SOA) methods as appropriate approaches for our inter-cloud framework. Moreover, since distributing the operations in a cloud-based environment is a nondeterministic polynomial time (NP-complete) problem, a Genetic Algorithm (GA) based job scheduler proposed as a part of interoperability framework, offering workload migration with the best performance at the least cost. A new Agent Based Simulation (ABS) approach is proposed to model the inter-cloud environment with three types of agents: Cloud Subscriber agent, Cloud Provider agent, and Job agent. The ABS model is proposed to evaluate the proposed framework.

Towards an algorithmic skeleton framework for programming the Intel R Xeon PhiTM processor

The Intel R Xeon PhiTM is the first processor based on Intel’s MIC (Many Integrated Cores) architecture. It is a co-processor specially tailored for data-parallel computations, whose basic architectural design is similar to the ones of GPUs (Graphics Processing Units), leveraging the use of many integrated low computational cores to perform parallel computations. The main novelty of the MIC architecture, relatively to GPUs, is its compatibility with the Intel x86 architecture. This enables the use of many of the tools commonly available for the parallel programming of x86-based architectures, which may lead to a smaller learning curve. However, programming the Xeon Phi still entails aspects intrinsic to accelerator-based computing, in general, and to the MIC architecture, in particular. In this thesis we advocate the use of algorithmic skeletons for programming the Xeon Phi. Algorithmic skeletons abstract the complexity inherent to parallel programming, hiding details such as resource management, parallel decomposition, inter-execution flow communication, thus removing these concerns from the programmer’s mind. In this context, the goal of the thesis is to lay the foundations for the development of a simple but powerful and efficient skeleton framework for the programming of the Xeon Phi processor. For this purpose we build upon Marrow, an existing framework for the orchestration of OpenCLTM computations in multi-GPU and CPU environments. We extend Marrow to execute both OpenCL and C++ parallel computations on the Xeon Phi. We evaluate the newly developed framework, several well-known benchmarks, like Saxpy and N-Body, will be used to compare, not only its performance to the existing framework when executing on the co-processor, but also to assess the performance on the Xeon Phi versus a multi-GPU environment.

WebGIS applied to improve spatial knowledge of high school students

This research seeks to design and implement a WebGIS application allowing high school students to work with information related to the disciplinary competencies of the competency-teaching model, in Mexico. This paradigm assumes knowledge to be acquired through the application of new technologies and to link it with everyday life situations of students. The WebGIS provides access to maps regarding natural risks in Mexico, e.g. volcanism, seismic activities, or hurricanes; the prototype's user interface was designed with special emphasis on scholar needs for high school students.

Smart-RBAC

Generally, smart campus applications do not consider the role of the user with his/her position in a university environment, consequently irrelevant information is delivered to the users. This dissertation proposes a location-based access control model, named Smart-RBAC, extending the functionality of Role-based Access Control Model (RBAC) by including user’s location as the contextual attribute, to solve the aforementioned problem. Smart-RBAC model is designed with a focus on content delivery to the user in order to offer a feasible level of flexibility, which was missing in the existing location-based access control models. An instance of the model, derived from Liferay’s RBAC, is implemented by creating a portal application to test and validate the Smart-RBAC model. Additionally, portlet-based applications are developed to assess the suitability of the model in a smart campus environment. The evaluation of the model, based on a popular theoretical framework, demonstrates the model’s capability to achieve some security goals like “Dynamic Separation of Duty” and “Accountability”. We believe that the Smart-RBAC model will improve the existing smart campus applications since it utilizes both, role and location of the user, to deliver content.

Framework for the semantic alignment of enterprise’s domain knowledge

Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.

AGNI: an API for the control of automomous service robots

With the continuum growth of Internet connected devices, the scalability of the protocols used for communication between them is facing a new set of challenges. In robotics these communications protocols are an essential element, and must be able to accomplish with the desired communication. In a context of a multi-­‐‑agent platform, the main types of Internet communication protocols used in robotics, mission planning and task allocation problems will be revised. It will be defined how to represent a message and how to cope with their transport between devices in a distributed environment, reviewing all the layers of the messaging process. A review of the ROS platform is also presented with the intent of integrating the already existing communication protocols with the ServRobot, a mobile autonomous robot, and the DVA, a distributed autonomous surveillance system. This is done with the objective of assigning missions to ServRobot in a security context.

Methodological framework for detection of harmonisation breaking in service environments

As the complexity of markets and the dynamicity of systems evolve, the need for interoperable systems capable of strengthening enterprise communication effectiveness increases. This is particularly significant when it comes to collaborative enterprise networks, like manufacturing supply chains, where several companies work, communicate, and depend on each other, in order to achieve a specific goal. Once interoperability is achieved, that is once all network parties are able to communicate with and understand each other, organisations are able to exchange information along a stable environment that follows agreed laws. However, as markets adapt to new requirements and demands, an evolutionary behaviour is triggered giving space to interoperability problems, thus disrupting the sustainability of interoperability and raising the need to develop monitoring activities capable of detecting and preventing unexpected behaviour. This work seeks to contribute to the development of monitoring techniques for interoperable SOA-based enterprise networks. It focuses on the automatic detection of harmonisation breaking events during real-time communications, and strives to develop and propose a methodological approach to handle these disruptions with minimal or no human intervention, hence providing existing service-based networks with the ability to detect and promptly react to interoperability issues.

Contratos de prestação de serviços de comunicações electrónicas

The object of this dissertation is the analysis of the legal framework applicable to contracts for provision of electronic communications services, while trying to offer solutions to some of the issues regarding this matter. The main focus of this study will be the rules concerning service’s suspension, which have been recently amended. The technological development and the establishment of these services as information transmitters and work tools were noteworthy for its growing importance at the present time. These services include cable television, telephone (landline and mobile) and internet and they are regulated by Law nr 23/96, July 26th, along with other essential public services. Said law sets a group of principles and duties, such as good faith (article 3), continuity and quality of the service (article 7) and the duty to rightfully inform the user (article 4), in order to protect the users. For the analysis of legal framework applicable to these particular contracts it is also fundamental to mention Law nr 5/2004, February 10th, known as Electronic Communications Law. The provisions regarding the service’s suspension are currently prescribed in articles 52.º and 52.º-A of the law. Given the amendments introduced by Law nr 10/2013, January 28th, consumers are subjected to a regulation different from the one applicable to the other users, established in the new article 52.º-A. From our analysis, we have concluded that the main change from past provisions has to do with the automatic termination of the contract as consequence of the consumer’s failure to pay the price or to conclude a written payment arrangement after service’s suspension.

Launching platforms for user-generated content

Field lab: Entrepreneurial and innovative ventures

Impact of mobile app user acquisition on managerial decisions: Evidence from empirical experiment

In this research we conducted a mixed research, using qualitative and quantitative analysis to study the relationship and impact between mobile advertisement and mobile app user acquisition and the conclusions companies can derive from it. Data was gathered from management of mobile advertisement campaigns of a portfolio of three different mobile apps. We found that a number of implications can be extracted from this intersection, namely to product development, internationalisation and management of marketing budget. We propose further research on alternative app users sources, impact of revenue on apps and exploitation of product segments: wearable technology and Internet of Things.

Questionário de satisfação do utente e do profissional : impacto num laboratório de análises clínicas

RESUMO: Temos assistido a uma evolução impressionante nos laboratórios de análises clínicas, os quais precisam de prestar um serviço de excelência a custos cada vez mais competitivos. Nos laboratórios os sistemas de gestão da qualidade têm uma importância significativa nesta evolução, fundamentalmente pela procura da melhoria continua, que ocorre não só ao nível de processos e técnicas, mas também na qualificação dos diferentes intervenientes. Um dos problemas fundamentais da gestão e um laboratório é a eliminação de desperdícios e erros criando benefícios, conceito base na filosofia LeanThinking isto é “pensamento magro”, pelo que é essencial conseguir monitorizar funções críticas sistematicamente. Esta monitorização, num laboratório cada vez mais focalizado no utente, pode ser efetuada através de sistemas e tecnologias de informação, sendo possível contabilizar número de utentes, horas de maior afluência, tempo médio de permanência na sala de espera, tempo médio para entrega de análises, resultados entregues fora da data prevista, entre outros dados de apoio à decisão. Devem igualmente ser analisadas as reclamações, bem como a satisfação dos utentes quer através do feedback que é transmitido aos funcionários, quer através de questionários de satisfação. Usou-se principalmente dois modelos: um proposto pelo Índice Europeu de Satisfação do Consumidor (ECSI) e o outro de Estrutura Comum de Avaliação (CAF). Introduziram-se igualmente dois questionários: um apresentado em formato digital num posto de colheitas, através de um quiosque eletrónico, e um outro na página da internet do laboratório, ambos como alternativa ao questionário em papel já existente, tendo-se analisado os dados, e retirado as devidas conclusões. Propôs-se e desenvolveu-se um questionário para colaboradores cuja intenção foi a de fornecer dados úteis de apoio à decisão, face à importância dos funcionários na interação com os clientes e na garantia da qualidade ao longo de todo o processo. Avaliaram-se globalmente os resultados sem que tenha sido possível apresentá-los por política interna da empresa, bem como se comentou de forma empírica alguns benefícios deste questionário. Os principais objetivos deste trabalho foram, implementar questionários de satisfação eletrónicos e analisar os resultados obtidos, comparando-os com o estudo ECSI, de forma a acentuar a importância da análise em simultâneo de dois fatores: a motivação profissional e a satisfação do cliente, com o intuito de melhorar os sistemas de apoio à decisão. ------------------------ ABSTRACT: We have witnessed an impressive development in clinical analysis laboratories, which have to provide excellent service at increasingly competitive costs, quality management systems have a significant importance in this evolution, mainly by demanding continuous improvement, which does not occur only in terms of processes and techniques, but also in the qualification of the various stakeholders. One key problem of managing a laboratory is the elimination of waste and errors, creating benefits, concept based on Lean Thinking philosophy, therefore it is essential be able to monitor critical tasks systematically. This monitoring, in an increasingly focused on the user laboratory can be accomplished through information systems and technologies, through which it is possible to account the number of clients, peak times, average length of waiting room stay, average time for delivery analysis, delivered results out of the expected date, among other data that contribute to support decisions, however it is also decisive to analyzed complaint sand satisfaction of users through employees feedback but mainly through satisfaction questionnaires that provides accurate results. We use mainly two models one proposed by the European Index of Consumer Satisfaction (ECSI), directed to the client, and the Common Assessment Framework (CAF), used both in the client as the employees surveys. Introduced two questionnaires in a digital format, one in the central laboratory collect center, through an electronic kiosk and another on the laboratory web page, both as an alternative to survey paper currently used, we analyzed the results, and withdrew the conclusions. It was proposed and developed a questionnaire for employees whose intention would be to provide useful data to decision support, given the importance of employees in customer interaction and quality assurance throughout the whole clinical process, it was evaluated in a general way because it was not possible to show the results, however commented an empirical way some benefits of this questionnaire. The main goals of this study were to implement electronic questionnaires and analyze the results, comparing them with the ECSI, in order to emphasize the importance of analyzing simultaneously professional motivation with customer satisfaction, in order to improve decision support systems.

Who uses NHS saúde 24 hotline? Has the user changed over time?

There has been an increase in the use of telephone-based services and internet throughout the years and, therefore, the Saúde 24 Hotline has become an important service in Portugal. This service aims to screen, counsel and refer the patient in order to avoid unnecessary visits to health institutions and also to indicate the most appropriate resource according to the illness. This work has two different questions: the first one examines the determinants of satisfaction that have more influence on the overall satisfaction of the Saúde 24 Hotline users. The second one aims to analyze if the confidence level of the users is increasing over time, measured by following the recommendation. The first study was conducted on a random sample collected from June to October 2014, which was taken from the User Satisfaction Survey. The second approach includes data from January 2008 to December 2014 from the Clinical Data Base of all users who have called the Hotline. Findings suggest that the majority of users are very satisfied with the service and the variables with more impact on the overall satisfaction are commitment and availability from the nurse, adequacy of call duration and quick identification of the problem. The survey indicates that 94% of respondents follow the recommendation and on average people have called the hotline 3 times in the previous year. The results from the Clinical Database show that people who were recommended to go to the emergency room are more likely to follow the advice than the people who were recommended to book routine appointments