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Mostrando ítems 11-20 de 23
Artículo
Flipping Laboratory Sessions: An Experience in Computer Science
(IEEE Computer Society, 2020)
This paper reports our experience in flipping a second- year undergraduate course on software architecture and integration, taught in the second course of a Software Engineering degree. We compare the application of the ...
Artículo
Automatic Evolution of Eco-Efficient Software Architectures with CVL Models
(IEEE Computer Society, 2020)
Resource sharing and mass storage in server farms provided by cloud platforms save huge amounts of energy. However, optimizing energy consumption at the server room is not enough, being desirable to perform energy ...
Artículo
Context-Aware Process Performance Indicator Prediction
(IEEE Computer Society, 2020)
It is well-known that context impacts running instances of a process. Thus, defining and using contextual information may help to improve the predictive monitoring of business processes, which is one of the main challenges ...
Ponencia
QoS-aware Metamorphic Testing: An Elevation Case Study
(IEEE Computer Society, 2020)
Elevators are among the oldest and most widespread transportation systems, yet their complexity increases rapidly to satisfy customization demands and to meet quality of service requirements. Verification and validation ...
Ponencia
A Proposal to Evolving Towards Digital Twins in Healthcare
(SpringerLink, 2020-05)
The main objective in this proposal is to orchestrate an ecosystem of manipulation of reliable and safe data, applied to the field of health, specifically lung cancer, by introducing the creation of digital twins for ...
Artículo
A Mashup-based Framework for Business Process Compliance Checking
(IEEE Computer Society, 2020)
Business process compliance ensures that the business processes of an organisation are designed and executed according to the rules that enforce the compliance controls that govern the company. We faced the challenge of ...
Artículo
MCFS: Min-cut-based feature-selection
(Elsevier, 2020)
In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our ...
Artículo
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
(Elsevier, 2020)
The vast amount of data stored nowadays has turned big data analytics into a very trendy research field. The Spark distributed computing platform has emerged as a dominant and widely used paradigm for cluster deployment ...
Artículo
Sphere: Simulator of edge infrastructures for the optimization of performance and resources energy consumption
(Elsevier, 2020)
Edge computing constitutes a key paradigm to address the new requirements of areas such as smart cars, industry 4.0, and health care, where massive amounts of heterogeneous data from continuous geographically-distributed ...
Artículo
Energy efficient adaptation engines for android applications
(Elsevier, 2020)
Context The energy consumption of mobile devices is increasing due to the improvement in their components (e.g., better processors, larger screens). Although the hardware consumes the energy, the software is responsible ...