The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …

Optimizing quality trade-offs in an end-to-end big data science process is challenging, as not
only do we need to deal with different types of software components, but also the domain …

The era of personal resources being sufficient for enterprise big data computations has
passed. As computations are executed in the cloud, small policy changes of cloud operators …

Hadoop is a distributed computing framework that has a large number of configurable
parameters. These parameters have impact on system resources and execution time …

Background In the data era, big data systems have emerged as pivotal tools, underscoring
the importance of performance prediction in enhancing the efficiency of big data clusters …

Coordination services and protocols are critical components of distributed systems and are
essential for providing consistency, fault tolerance, and scalability. However, due to lack of a …

Performance is one of the most important dimensions to consider for software quality. It is
normally used as the principal competitive advantage offered between similar solutions …

As a new type of computing resource, cloud computing attracts more and more users
because it is convenient and quick service. The cloud server is used by a large number of …

El desempeño es un parámetro importante en los procesos de evaluación de software. Es
usado como punto de diferenciación entre competidores. El aseguramiento del desempeño …

(57) ABSTRACT A device may process application data or historical data to identify a set of
metrics to be used to analyze a set of applications or to identify baseline values for the set of …