Traffic learning and prediction is at the heart of the evaluation of the performance of
telecommunications networks and attracts a lot of attention in wired broadband networks …

Accurate real‐time traffic prediction is required in many networking applications like dynamic
resource allocation and power management. This paper explores a number of predictors …

Network traffic prediction is a fundamental prerequisite for dynamic resource provisioning in
wireline and wireless networks, but is known to be challenging due to non-stationarity and …

A hybrid software-defined network (SDN), which is a network where traditional routers and
SDN protocols coexist during the incremental deployment of SDNs, requires real-time link …

Given the exponential increase in broadband cellular traffic it is imperative that scalable
traffic measurement and monitoring techniques be developed to aid various resource …

We design and implement a novel system called Async, which enables a mobile network
operator (MNO) to efficiently manage the growth of mobile data by leveraging the delay …

Traffic characterization, learning, and prediction in cellular networks, which is a classical yet
still appealing field, yields a significant number of meaningful results. This chapter presents …

Accurate network traffic load (TL) prediction is essential in many networking applications.
However, the real TLs in practical networks may have high variability and are difficult to be …

Methods and arrangements for undertaking delayed delivery of digital content. At least one
request for transmission of digital content is received from a client device. There is estimated …

The increasing of the mobile Internet traffic generated in cellular networks has challenged
Internet Service Providers (ISPs) to improve the management of their resources' usage, eg …