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Mostrando ítems 1-10 de 47
Artículo
Perses: A framework for the continuous evaluation of the QoS of distributed mobile applications
(ScienceDirect, 2022-08)
The increasing capabilities of mobile devices have led to the emergence of new paradigms exploiting them. These paradigms foster the onload and distribution of functionalities on mobile devices, allowing the development ...
Artículo
TOMATE: A heuristic-based approach to extract data from HTML tables
(Elsevier, 2021)
Extracting data from user-friendly HTML tables is difficult because of their different lay outs, formats, and encoding problems. In this article, we present a new proposal that first applies several pre-processing heuristics ...
Artículo
DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)
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 ...
Artículo
Bullfighting extreme scenarios in efficient hyper-scale cluster computing
(Springer, 2020)
Data centres are quickly evolving to support new demands for Cloud-Computing services. Extreme workload peaks represent a challenge for the maintenance of the performance and service level agreements, even more when ...
Artículo
Early Evaluation of Mobile Applications’ Resource Consumption and Operating Costs
(IEEE Computer Society, 2020)
The explosive growth of the mobile application market in recent years has led to a large concomitant mobile software industry whose components are, in many cases, startups and small-size software providers. The success ...
Artículo
Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)
Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to be served. Such a mix of various purpose workloads makes the optimisation of resource management ...
Artículo
CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
(Elsevier, 2023-02-02)
The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it is still below 90% of average precision in the most complex datasets, which may pose a problem of ...
Artículo
Feature models to boost the vulnerability management process
(Elsevier, 2022)
Vulnerability management is a critical and very challenging process that allows organisations to design a procedure to identify potential vulnerabilities, assess the level of risk, and define remediation mechanisms to ...
Artículo
A clustering approach to extract data from HTML tables
(Elsevier, 2021)
HTML tables have become pervasive on the Web. Extracting their data automatically is difficult because finding the relationships between their cells is not trivial due to the many different layouts, encodings, and formats ...
Artículo
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
(Elsevier, 2022)
Precision agriculture focuses on the development of site-specific harvest considering the variability of each crop area. Vegetation indices allow the study and delineation of different characteristics of each field zone, ...