2,443 research outputs found
Single-Board-Computer Clusters for Cloudlet Computing in Internet of Things
The number of connected sensors and devices is expected to increase to billions in the near
future. However, centralised cloud-computing data centres present various challenges to meet the
requirements inherent to Internet of Things (IoT) workloads, such as low latency, high throughput
and bandwidth constraints. Edge computing is becoming the standard computing paradigm for
latency-sensitive real-time IoT workloads, since it addresses the aforementioned limitations related
to centralised cloud-computing models. Such a paradigm relies on bringing computation close to
the source of data, which presents serious operational challenges for large-scale cloud-computing
providers. In this work, we present an architecture composed of low-cost Single-Board-Computer
clusters near to data sources, and centralised cloud-computing data centres. The proposed
cost-efficient model may be employed as an alternative to fog computing to meet real-time IoT
workload requirements while keeping scalability. We include an extensive empirical analysis to
assess the suitability of single-board-computer clusters as cost-effective edge-computing micro data
centres. Additionally, we compare the proposed architecture with traditional cloudlet and cloud
architectures, and evaluate them through extensive simulation. We finally show that acquisition costs
can be drastically reduced while keeping performance levels in data-intensive IoT use cases.Ministerio de Economía y Competitividad TIN2017-82113-C2-1-RMinisterio de Economía y Competitividad RTI2018-098062-A-I00European Union’s Horizon 2020 No. 754489Science Foundation Ireland grant 13/RC/209
On the stability of -methods for DDEs and PDDEs
In this paper, the stability of -methods for delay differential
equations is studied based on the test equation ,
where is a constant delay and is a positive definite matrix. It is
mainly considered the case where the matrices and are not simultaneosly
diagonalizable and the concept of field of values is used to prove a sufficient
condition for unconditional stability of these methods and another condition
which also guarantees their stability, but according to the step size. The
results obtained are also simplified for the case where the matrices and
are simultaneously diagonalizable and compared with other similar works for
the general case. Several numerical examples in which the theory discussed here
is applied to parabolic problems given by partial delay differential equations
with a diffusion term and a delayed term are presented, too.Comment: 17 pages, 21st IMACS World Congres
Las geoformas volcánicas y su modelado morfométrico con Sistemas de Información Geográfica (SIG).
ICT and functional diversity: knowledge of the teaching staff
La educación de calidad en igualdad y equidad requiere el compromiso de todos los
miembros de la comunidad educativa. Este se adquiere favoreciendo la formación
permanente del profesorado, un aprendizaje continuo adaptado a las necesidades y a las
características de los alumnos. En este contexto, el presente artículo muestra los resultados
de una investigación cuyo propósito ha sido conocer el nivel de formación y conocimiento
del profesorado de educación primaria de Andalucía, con respecto a la aplicación de las TIC
a personas con diversidad funcional. El diseño de investigación utilizado ha sido de tipo
mixto (metodología cuantitativa y cualitativa), analizándose 342 cuestionarios
suministrados a docentes de educación primaria y 84 entrevistas realizadas a informantes
claves (miembros de equipos directivos, coordinadores TIC, directores y asesores
tecnológicos de centros de formación del profesorado). Entre las conclusiones podemos
destacar la falta de conciencia y preparación por parte del profesorado, así como que el
desarrollo de experiencias de formación en este ámbito sigue siendo insuficiente y, en
ocasiones, inexistente.Quality education in equality
and equity requires the commitment of all members of the educational community. This is
acquired by promoting the ongoing training of teachers, a continuous learning adapted to
the needs and characteristics of the students. In this context, this article shows the results of
a research whose purpose has been to know the level of training and knowledge of teachers
of primary education in Andalusia, regarding the application of ICT to people with
functional diversity. The research design used has been of mixed type (quantitative and
qualitative methodology), analyzing 342 questionnaires provided to teachers of primary
education and 84 interviews with key informants (members of management teams, ICT
coordinators, directors and technological advisers of training centers of teachers). Among
the conclusions we can highlight the lack of awareness and preparation on the part of the
teaching staff, as well as the development of training experiences in this area is still
insufficient and, sometimes, non-existent
Using FPGA for visuo-motor control with a silicon retina and a humanoid robot
The address-event representation (AER) is a
neuromorphic communication protocol for transferring
asynchronous events between VLSI chips. The event
information is transferred using a high speed digital parallel
bus. This paper present an experiment based on AER for
visual sensing, processing and finally actuating a robot. The
AER output of a silicon retina is processed by an AER filter
implemented into a FPGA to produce a mimicking behaviour
in a humanoid robot (The RoboSapiens V2). We have
implemented the visual filter into the Spartan II FPGA of the
USB-AER platform and the Central Pattern Generator (CPG)
into the Spartan 3 FPGA of the AER-Robot platform, both
developed by authors.Unión Europea IST-2001-34124 (CAVIAR)Ministerio de Ciencia y Tecnología TIC-2003-08164-C03-0
Responsabilidad social: perspectiva del alumnado de Administración y Dirección de Empresas
[Resumen] En esta comunicación se recoge la perspectiva del alumnado perteneciente a primero del
grado de Administración y Dirección de Empresas de la Facultad de Economía y Empresa, en
la Universidade da Coruña durante el curso 2016-2017, en torno a la responsabilidad social.
Este trabajo está dividido en tres fases, la primera, la recogida de información cuantitativa
mediante un cuestionario estructurado, la segunda, el desarrollo de un trabajo cualitativo por
parte del alumnado y la última fase, exposición y reflexión oral del alumnado en torno a la
temática.
En la primera fase de este trabajo se analiza el grado de conocimiento del concepto de la
responsabilidad social; la identificación de las dimensiones de la responsabilidad social; la
principal finalidad que percibe el alumnado para llevar a cabo políticas de responsabilidad
social en las organizaciones; la clasificación de los sectores según su grado de implicación en materia de responsabilidad social (entre los que se encuadra la educación en comparación con otros sectores); la importancia de los requisitos para clasificar a las organizaciones como socialmente responsables; y los programas en los que desearía participar el alumnado una vez que finalicen sus estudios en la universidad
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
Data centres constitute the engine of the Internet, and run a major portion of large web and mobile
applications, content delivery and sharing platforms, and Cloud-computing business models. The high
performance of such infrastructures is therefore critical for their correct functioning. This work focuses
on the improvement of data-centre performance by dynamically switching the main data-centre
governance software system: the resource manager. Instead of focusing on the development of new
resource-managing models as soon as new workloads and patterns appear, we propose DISCERNER, a
decision-theory model that can learn from numerous data-centre execution logs to determine which
existing resource-managing model may optimise the overall performance for a given time period. Such
a decision-theory system employs a classic machine-learning classifier to make real-time decisions
based on past execution logs and on the current data-centre operational situation. A set of extensive
and industry-guided experiments has been simulated by a validated data-centre simulation tool. The
results obtained show that the values of key performance indicators may be improved by at least 20%
in realistic scenarios.Ministerio de Ciencia e Innovación RTI2018-098062-A-I0
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