Distributed computing paradigms such as cloud, mobile, Internet of Things, and Fog have
enabled new modalities for building enterprise architectures through service composition …

Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …

From the IoT perspective, each intelligent device can be considered as a potential source of
service. Since several services perform the same function, albeit with different quality of …

Among the novel IT paradigms, cloud computing and the Internet of Things (CloudIoT) are
two complementary areas designed to support the creation of smart cities and application …

Task scheduling is the most important issue in the cloud computing environment since its
implementation is largely dependent on it. However, due to its weaknesses in energy …

Microservice architectures are increasingly used to modularize IoT applications and deploy
them in distributed and heterogeneous edge computing environments. Over time, these …

Performance anomaly detection is the process of identifying occurrences that do not conform
to expected behavior or correlate with other incidents or events in time series data. Anomaly …

Anomaly detection is a dynamic field, in which the evaluation of models plays a critical role
in understanding their effectiveness. The selection and interpretation of the evaluation …

A method comprises collecting message-oriented-middle ware system parameters from a
plurality of message-ori ented-middleware clusters, analyzing the parameters using one or …

Web services show a rapid evolution and integration to meet the increased users'
requirements. Thus, web services undergo updates and may have performance degradation …