Evolutionary algorithms (EAs) are robust stochastic optimisers that perform well over a wide
range of problems. Their robustness, however, may be affected by several adjustable …

Accurate prediction of data center resource utilization is required for capacity planning, job
scheduling, energy saving, workload placement, and load balancing to utilize the resources …

The workload predictor has attracted attention as a key component of the proactive service
operation management framework. However, the request and resource workloads of cloud …

Internet of Things applications can be represented as workflows in which stream and batch
processing are combined to accomplish data analytics objectives in many application …

Considering the broad applications in autonomous marine vehicle control, ship response
prediction has emerged as a significant area of interest in seakeeping. In particular, the short …

The evolution of edge computing devices has enabled machine intelligence techniques to
process data close to its producers (the sensors) and end-users. Although edge devices are …

(57) ABSTRACT A system includes a windowing module that divides time series data for
each metric into portions. Each portion corresponds to a respective window of time. A hash …

The aim of event detection in time series is to identify particular occurrences of user-interest
in one or more time lines, such as finding an anomaly in electrocardiograms or reporting a …

The evolution of edge computing devices has enabled machine intelligence techniques to
process data close to its producers (the sensors) and end-users. Although edge devices are …

This work describes an approach devised by the authors for time series classification. In our
approach genetic programming is used in combination with a serial processing of data …