In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

Despite employing the architectures designed for high service reliability and availability,
cloud computing systems do experience service outages and performance slowdown. In …

Cloud computing has become increasingly popular by obviating the need for users to own
and maintain complex computing infrastructures. However, due to their inherent complexity …

Anomaly detection can infer the presence of errors without observing the target services, but
detecting variations in the observable parts of the system on which the services reside. This …

Technological advances and the emergence of the Internet of Things have lead to the
collection of vast amounts of scientific data from increasingly powerful scientific instruments …

Anomaly detection aims at identifying patterns in data that do not conform to the expected
behavior. Despite anomaly detection has been arising as one of the most powerful …

Cloud computing has become increasingly popular by obviating the need for users to own
and maintain complex computing infrastructure. However, due to their inherent complexity …

Research integrity is crucial to ensuring the trustworthiness of scientific discoveries. This
work is aimed at detecting misbehaviors targeting scientific workflows, which are computing …

Establishment of trust between Cloud consumers and service providers is a challenging
issue, which is a major reason why organizations are reluctant to adopt the Cloud paradigm …

Cloud servers are highly prone to resource bottleneck failures. In this work, we propose an
ensemble learning model to build LSTM-based multiclass classifier for resource bottleneck …