Gabriel Antoine Louis Paillard

Performance analysis on scientific computing and cloud computing environments

The search for better execution times was one of the motivations for the emergence of High Performance Computing (HPC) whose importance has obtained significative preponderance in the domain of scientific computing, either in applications for an academic or industrial environment. Cloud Computing proposes the integration of various technological models for the provision of a hardware infrastructure, development platforms and applications as services based on-demand. However, with the emergence of cloud computing, a new challenge arose which was to allow the execution of HPC applications in this new environment. This paper aims to demonstrate the feasibility of using a local cluster built on a private cloud for HPC experiments, and compare with applications running in a real environment for HPC.

How to deploy a virtual learning environment in the cloud

Cloud computing is a trend of technology aimed at providing on-demand services with payment based on usage. Virtual Learning Environments (VLEs) are applications that require a highly scalable architecture that provides for its users an acceptable level of Quality of Service (QoS). This work aims to show the steps needed to install a VLE in a cloud computing infrastructure. The VLEs migration to this new type of execution environment allows the increase of its use but also brings some performance issues that must be considered. The case study will consider the Moodle VLE which was chosen for its widespread use.

u-LabPA: A framework based on ubiquitous computing for laboratory activities

This paper proposes a framework, called Ubiquitous Laboratory for Practical Activities (u-LabPA), which allows students to bring in data from laboratory practices and access them retrospectively in the form of simulations or virtual environments. Simulations were conducted using Petri nets to analyze the system behavior and its application in a physical Laboratory.

A swarm solution for a cooperative and self-organized team of UAVs to search targets

The context of this research is the use of Unmanned Aerial Vehicles (UAV) to search and localize a target. The problem to be solved is the cooperative behavior of the UAV group to optimize the search. The focus of this research is the use of bioinspired algorithms to spread the aerial vehicles and the optimization of the time of search, comparing the application of Particle Swarm Optimization with others found in literature.

An architecture proposal for musical applications and services on computational clouds

Nowadays cloud computing continues its consolidation, both for technologies virtualization as for platforms development and application availability. These environments are naturally distributed and constituted by many types of software and hardware features, serving a broad range of customers with different requirements. A type of service that has had its use increasingly demanded is the processing of multimedia applications, such as audio and video. This type of service is characterized by different QoS, network and devices requirements, which fits well to cloud computing environments. Many applications or music service providers are available, both for web applications and mobile devices, such as Spotify, Deezer and Last.fm. Non-exclusive applications for music, but also videos, like YouTube and Netflix, are also widely employed by users of multimedia services. This paper describes and discusses an architecture for the implementation and development of computer music services in a cloud computing environment.

StoryMotion: A collaborative recommendation tool for storytelling through photos

In this paper, we present a proposal of a recommendation tool for creating collaborative image stories called Story-Motion. This system will allow users to put their images and photos together in a single story, performed in a semiautomatic way. Any users are free to continue the story as they want, though they can not change what has already been put into it. By doing so, StoryMotion gives its users freedom on the creation process at the same time as it guarantees the authorship of each participant in the story. This can lead to stories that comprehend scopes such as Education, Tourism and Politics. Throughout this paper, it will be described our motivations and theoretical foundation that led to projecting StoryMotion, how our prototype works, its major components and experimental evaluation. After presenting a brief overview of related works, we discuss about our research findings and future work.

cARFleet: A mobile application for vehicle fleet visualization based on augmented reality and open data

Currently, due to ease of acquisition of mobile devices and their increasing processing power and storage, many applications in various areas and services have been developed. With access to information held by Internet, many data and research institutions are accessible in repositories in popular formats and they are made available for use by users and developers, such as the Brazilian Portal of Open Data. Due to the transport area is a recurring theme in the Brazilian daily, causing many disorders in big cities, we focus in the the vehicle fleet visualization of Brazilian capital. In this sense, this article aims to propose an application for mobile devices, called cARFleet, to open data visualization. In the application were incorporated features of augmented reality for better visualization and differentiation of the tool.

A GPU-based implementation for the gamma multiset rewriting paradigm

This work presents a GPU-based implementation of the Gamma multiset rewriting paradigm. Inspired by the chemical reaction metaphor, Gamma was conceived as a highlevel abstract language for programs specification in a very simple, concise, and naturally parallel way, making clearer the distinction between the problem itself and the underlying implementation issues. We believe that the computational model adopted by Gamma matches naturally with the Graphics Processing Units execution mode, once both concepts consist basically in parallel processing of data. We extended an earlier distributed and parallel implementation of the Gamma language called Gamma-Base, adding support to execution of Gamma programs over the GPUs, and we called this new implementation Gamma-GPU. Practical experiments were conducted in a GPU cluster, which showed us the correctness of the new implementation, besides good speedups comparing to a sequential Gamma implementation, proving the contributions introduced by our work.

Extended MOBILIS: a integration of learning management system with mobile application to m-learning environment

The present article presents the Extended MOBILIS architecture, which allows the integration of Virtual Learning Environments with Mobile Applications, using a layer of web services as the communications mediator between the two entities. In order to validate the architecture, the creation process of an application was started to introduce the utilization of voice in a web-forum through a mobile application made for the Android platform. In the process of development of the application, aspects of usability were taken into consideration in order to facilitate the use of the application in cell phones and enhance its resources in the context of Mobile Learning.

QoS management for real-time DataBases in embedded systems

Real-time database management systems (RT-DBMS) have the necessary characteristics for providing efficient support to develop applications in which both, data and transactions have temporal constraints. However, in the last decade, new applications were identified and are characterized by a large geographic distribution, high heterogeneity, lack of global control, partial failures and lack of safety. Besides, they need to manage large data volumes with real-time constraints. Scheduling algorithms should consider transactions with soft deadlines and the concurrency control protocols should allow conflicting transactions to execute in parallel. The last ones should be based in their requirements, which are specified through both quality of services functions and performance metrics. In this work, a method to model and develop applications that execute in open and unpredictable environments is proposed. Based on this model, it is possible to perform analysis and simulations of systems, to guide the decision making process and to identify solutions for improving it. For validating the model, a case study considering the application domain of sensors network is discussed.