DocLite: A Docker-Based Lightweight Cloud Benchmarking Tool

Existing benchmarking methods are time consuming processes as they typically benchmark the entire Virtual Machine (VM) in order to generate accurate performance data, making them less suitable for real-time analytics. The research in this paper is aimed to surmount the above challenge by presenting DocLite - Docker Container-based Lightweight benchmarking tool. DocLite explores lightweight cloud benchmarking methods for rapidly executing benchmarks in near real-time. DocLite is built on the Docker container technology, which allows a user-defined memory size and number of CPU cores of the VM to be benchmarked. The tool incorporates two benchmarking methods - the first referred to as the native method employs containers to benchmark a small portion of the VM and generate performance ranks, and the second uses historic benchmark data along with the native method as a hybrid to generate VM ranks. The proposed methods are evaluated on three use-cases and are observed to be up to 91 times faster than benchmarking the entire VM. In both methods, small containers provide the same quality of rankings as a large container. The native method generates ranks with over 90% and 86% accuracy for sequential and parallel execution of an application compared against benchmarking the whole VM. The hybrid method did not improve the quality of the rankings significantly.

Machinic Assemblages: Women, Art Education and Space.

In this paper I explore connections between women, art education and spatial relations drawing on the Deleuzo-Guattarian concept of machinic assemblage as a useful analytical tool for making sense of the heterogeneity and meshwork of life narratives and their social milieus. In focusing on Mary Bradish Titcomb, a fin-de-sie`cle Bostonian woman who lived and worked in the interface of education and art, moving in between differentiated series of social, cultural and geographical spaces, I challenge an image of narratives as unified and coherent representations of lives and subjects; at the same time I am pointing to their importance in opening up microsociological analyses of deterritorializations and lines of flight. What I argue is that an attention to space opens up paths for an analytics of becomings, and enables the theorization of open processes, multiplicities and nomadic subjectivities in the field of gender and education.

Introduction: Mapping Gwen John: Lives, Lines and Images

Nomadic Narratives, Visual Forces explores issues, questions, and problems emerging in the analysis of epistolary and visual narratives. This book focuses in particular on Gwen John's letters and paintings. It offers an innovative theoretical approach to narrative analysis by drawing on Foucault's theory of power, Deleuze and Guattari's analytics of desire, and Cavarero's concept of the narratable self. Furthermore, it examines the use of letters as documents of life in narrative research and highlights the dynamics of spatiality in the constitution of the female self in art. This study brings together theoretical insights that emerge from the analysis of life documents - some of them previously unpublished - combining innovative research with specific methodological suggestions on doing narrative analysis.

Charting Cartographies of Resistance: Line of Flight in Women Artists’ Narratives

In this paper I chart lines of flight in women artist’s narratives. In focusing on the complex interrelations between the social milieus of education and art, what I suggest is that they should be analysed as an assemblage where power relations and forces of desire are constantly at play in creating conditions of possibility for women to resist, imagine themselves becoming other and for new possibilities in their lives to be actualised. As a novel approach to social ontology the theory of assemblages offers an analytics of social complexity that accounts for open configurations, continuous connections and unstable hierarchies, structures and axes of difference. In reconsidering resistance as immanent in dispositifs of power and assemblages of desire, what I finally argue is that women artists’ narratives contribute to the constitution of minor knowledges and create archives of radical futurity.

Big data warehouse framework for smart revenue management

Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue management. One of the objectives of this project is to demonstrate that the collection of Big Data, followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, in the present case, it was focus only the extraction of information from the web by a web crawler – raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management

Laboratório de criação digital

O projeto aqui apresentado consiste no desenvolvimento de um plano estratégico de marketing digital para o projeto Laboratório de Criação Digital (LCDPorto). O LCDPorto tem sete anos de existência, sem nunca ter definido uma estratégia de comunicação. O principal objetivo passa por aprofundar os vários temas que integram Marketing Digital, e desenvolver um plano que permita ao LCDPorto ganhar mais notoriedade pelas atividades que desenvolve e, também, obter mais público para participar nas atividades. Áreas como email marketing, contente marketing, SEO, social media e outras, não são áreas que funcionam de forma independente, mas sim, parte de um plano estratégico. Neste relatório serão apresentados alguns dos passos deste plano, nomeadamente Análise de Concorrência Online, estratégia de SEO, com o objetivo de obter dados prévios essenciais ao desenvolvimento desta estratégia de Marketing Digital.

Growth hacking

Com o crescente aumento de utilizadores e da importância no quotidiano de uma grande parte da população mundial, a Internet disponibiliza hoje às empresas, um conjunto de oportunidades que devidamente aproveitadas, se poderão traduzir na captação de novos clientes e no aumento da notoriedade da marca. Tem-se assistido nos últimos anos a um crescimento considerável do investimento das empresas em Marketing Digital, fazendo uso das mais variadas ferramentas que potenciam e aumentam a sua presença online. Decorrente do aumento de competividade no meio digital, têm surgido diversos casos de startups que desenvolveram e aplicaram técnicas e acções de marketing digital inovadoras, que se traduziram num crescimento exponencial do seu número de clientes/utilizadores. Desta forma, o presente trabalho tem como principais objetivos identificar o conceito de Growth Hacking, principais tácticas e ferramentas utilizadas, e avaliar qual impacto que o mesmo poderá ter para o sucesso de uma organização no meio online. Recorrendo ao estudo de dois casos de sucesso é feita uma análise das estratégias adotadas pelas empresas Uber e Dropbox e apresentadas as principais caraterísticas que as diferenciam e que permitiram o seu sucesso no meio digital.

The development and implementation of math projects in a HEI: expectations, objectives, experiences and analysis

An overwhelming problem in Math Curriculums in Higher Education Institutions (HEI), we are daily facing in the last decade, is the substantial differences in Math background of our students. When you try to transmit, engage and teach subjects/contents that your “audience” is unable to respond to and/or even understand what we are trying to convey, it is somehow frustrating. In this sense, the Math projects and other didactic strategies, developed through Learning Management System Moodle, which include an array of activities that combine higher order thinking skills with math subjects and technology, for students of HE, appear as remedial but important, proactive and innovative measures in order to face and try to overcome these considerable problems. In this paper we will present some of these strategies, developed in some organic units of the Polytechnic Institute of Porto (IPP). But, how “fruitful” are the endless number of hours teachers spent in developing and implementing these platforms? Do students react to them as we would expect? Do they embrace this opportunity to overcome their difficulties? How do they use/interact individually with LMS platforms? Can this environment that provides the teacher with many interesting tools to improve the teaching – learning process, encourages students to reinforce their abilities and knowledge? In what way do they use each available material – videos, interactive tasks, texts, among others? What is the best way to assess student’s performance in these online learning environments? Learning Analytics tools provides us a huge amount of data, but how can we extract “good” and helpful information from them? These and many other questions still remain unanswered but we look forward to get some help in, at least, “get some drafts” for them because we feel that this “learning analysis”, that tackles the path from the objectives to the actual results, is perhaps the only way we have to move forward in the “best” learning and teaching direction.

Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

A technology diffusion perspective of Enterprise Resource Planning across European Small and Medium Enterprises: from determinants to Use to Value

Tese apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

Differences in ERP use and value across Iberian Manufacturing and Services SMEs

Enterprise Resource Planning (ERP) system literature reports very little research on post-adoption stages, that is, actual usage and value. Even fewer studies focus on the specificities of an industry analysis. Based on the Technology-Organizational-Environment (TOE) framework and the Resource-Based View (RBV) theory, we develop a research model to measure and examine determinants of ERP use and value and their impact in the Iberian region (Portugal and Spain) across Manufacturing and Services industries in Small and Medium Enterprises (SMEs). The empirical test was conducted through structural equation modelling, using data from 261 firms in the peninsula in the Manufacturing and Service industries. Results show that amongst ERP use determinants, Training is the most important determinant for Service firms and Compatibility for Manufacturing firms. Firm size, Analytics, and Collaboration contribute to ERP Value in both industries, with Analytics being more important for the Service industry. The paper provides insight into which determinants contribute to ERP use and ERP value in Iberian Manufacturing and Services SMEs, offering managerial and academic implications.

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.

Grade of membership (GoM) por algoritmos genéticos

Muitas vezes é necessário trabalhar com variáveis categóricas, porem há um número restrito de análisesque as abordam. Uma boa técnica de segmentação é a grade of membership (GoM), muito utilizada na área médica, em psicologia e em sociologia. Essa metodologia possui uma interpretação interessante baseada em perfis extremos (segmentos) e grau de pertencimento. Porém o modelo possui grande complexidade de estimação dos parâmetros pormáxima verossimilhança. Assim, neste trabalho propõe-se o uso de algoritmos genéticos para diminuir a complexidade e o tempo de cálculo, e aumentar a acurácia. A técnica é nomeada de Genetics Algorithms grade of membership (GA-GoM). Para averiguar a efetividade, o modelo foi primeiramente abordado por simulação – foi executado um experimento fatorial levando em conta o número de segmentos e variáveis trabalhadas. Em seguida, foi abordado um caso prático de segmentação de engajamento em redes sociais. Os resultados são superiores para modelos de maior complexidade. Conclui-se, assim, que é útil a abordagem para grandes bases de dados que contenham dados categóricos.

Alpha generation with Twitter’s daily momentum

This thesis does not set out to focus on the dynamics relationship between Twitter and stock prices, but instead tries to understand if using relevant information extracted from tweets has the power to increase investors’ stock picking ability, and generate alpha in portfolio’s choice relative to a benchmark. Despite the short period analyzed, it gives promising results that the sentiment analysis performed by Social Market Analytics Inc. applied to an equity portfolio, is able to generate positive abnormal returns, statistically significant in and out of sample.

How to increase reach efficiency and effectiveness of MEO’s digital marketing campaigns?

Field lab: Business project