Modeling network traffic is an endeavor actively carried on since early digital
communications, supporting a number of practical applications, that range from network …

Edge clouds face challenges of resource assignment and load balancing due to variability of
user location (mobility), server load and network state. Dynamic resource migration …

In this paper, we introduce the integer-valued generalized autoregressive conditional
heteroscedasticity (INGARCH) as a network traffic prediction model. As the INGARCH is …

The densification of 5G deployments and Internet of Things (IoTs) are envisioned to
generate data beyond the handling capacity of currently deployed networks. Moreover, the …

Abstract Mobile Ad hoc NETwork (MANET) characteristics such as limited resources, shared
channel, unpredictable mobility, improper load balancing, and variation in signal strength …

This paper addresses the issue of effective classification of video traffic with the view of QoS
guarantee, and presents a modified K-Singular Value Decomposition (K-SVD) classification …

To address the issue of finegrained classification of Internet multimedia traffic from a Quality
of Service (QoS) perspective with a suitable granularity, this paper defines a new set of QoS …

The rapidly evolving scenario around cellular networks, Internet of Things (IoT), and the
associated services ecosystem has generated a wide range of expectations for the future …

The paper presents measurements and analysis of a LAN long-range dependence traffic
collected in IITiS PAN (The Institute of Theoretical and Applied Informatics of the Polish …

This chapter summarizes the background and motivation for why people need to make every
effort to predict network traffic and user mobility. To address all the technical aspects related …