Promoting the use of public transportation is an important approach to develop sustainable
mobility. However, lots of potential users of public transportation chose taxi, a semi-private …

In this paper we explore the interest of computational intelligence tools in the management
of heterogeneous communication networks, specifically to predict congestion, failures and …

4G, 5G, and smart city networks often rely on microwave and millimeter-wave x-haul links. A
major challenge associated with these high frequency links is their susceptibility to weather …

With the continuous growth of Internet usage, the importance of DNS has also increased,
and the large amount of data collected by DNS servers from users' queries becomes a very …

Distributed network traffic anomaly refers to a traffic abnormal behavior involving many links
of a network and caused by the same source (eg, DDoS attack, worm propagation). The …

The motivation for this thesis is our desire to build faster routers and switches to
accommodate for Internet traffic growth. For the past few years, Internet traffic has been …

Anomaly detection has become a vital component of any network in today's Internet.
Ranging from non-malicious unexpected events such as flash-crowds and failures, to …

Traffic engineering with traffic prediction is one approach to accommodate time-varying
traffic without frequent route changes. In this approach, the routes are calculated so as to …

With the growing popularity of smart phones and the rapid development of Internet, the
traditional network management system cannot adapt itself to the requirement intelligently. If …

Traffic prediction constitutes a hot research topic of network metrology. This work focuses on
the design and the empirical evaluation of the behaviour of training-based models for …