Long short-term memory neural networks demonstrate a classification accuracy larger than
99% for highly variable and bursty, real-time server traffic flows. Their performance in terms …

Novel approaches to switching ultra-fast semiconductor optical amplifiers using artificial
intelligence algorithms (particle swarm optimisation, ant colony optimisation, and a genetic …

Big Data applications have become increasingly popular with the emergence of cloud
computing and the explosion of artificial intelligence. The increasing adoption of data …

To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …

Abstract Machine learning has been widely studied and practiced in data center networks,
and a large number of achievements have been made. In this chapter, we will review …

Cloud and cluster computing platforms have become standard across almost every domain
of business, and their scale quickly approaches $\mathbf {O}(10^ 6) $ servers in a single …

In this work, we investigate the performance of recurrent nonlinear autoregressive neural
networks for an efficient prediction of intense data traffic streams for application in hybrid …

Having a priori knowledge about network flow sizes is invaluable in network traffic control.
Previous efforts on estimating flow sizes have focused on long flows, where each flow is …

In 2019, 732 solar panels were installed on the roof of a building at Örebro University. The
solar power production of the facility has been collected in a database in Akademiska Hus …