With the rapid growth of Internet traffic, accurate and reliable prediction of Internet traffic has
been a key issue in network management and planning. This paper proposes an …

In this work time series forecasting models and techniques are implemented to video traffic
as part of three dynamic bandwidth allocation schemes. Traffic produced by videos is known …

A network traffic model obtains the rules and characteristics of computer networks to support
the monitoring, predicting, managing, and securing of network services. With the fast …

Real-time traffic flow forecasting is of great importance in the development of advanced
traffic management systems and advanced traveler information systems. Traffic flow is …

We propose the data mining-informed cognitive radio, which uses non-traditional data
sources and data-mining techniques for decision making and improving the performance of …

As video content is responsible for more than 70% of the global IP traffic, related resource
allocation approaches, eg, using content caching, become increasingly important. In this …

Frequently, ISPs charge for Internet use not based on peak bandwidth usage, but according
to a percentile (often the 95th percentile) cost model. In other words, the time slots with the …

Real-time traffic flow forecasting is of vital significance to the intelligent transportation system
(ITS). Providing real-time and efficient information for travellers, the forecast aims to reduce …

Traffic speed prediction is an integral part of an intelligent transportation system (ITS)
because an advanced knowledge of traffic speed can help taking proactive preventive steps …

As a transportation mode, taxis facing low occupancy rate problems at certain time and over-
demand at another. This issue is due to imbalance of supply and demand of taxi service …