We propose an alternative approach for studying queues based on robust optimization. We
model the uncertainty in the arrivals and services via polyhedral uncertainty sets, which are …

This paper proposes a parameter fitting procedure using Markov Modulated Poisson
Processes (MMPPs) that leads to accurate estimates of queuing behavior for network traffic …

In this paper we attempt to gain an understanding of the behaviour of users in a multipoint,
interactive communication scenario. In particular, we wish to understand the dynamics of …

We propose a new method for clustering multivariate time series. A univariate time series
can be represented by a fixed-length vector whose components are statistical features of the …

This chapter is an overview of a relatively recent application of long-range dependence
(LRD) to the area of communication networks, in particular to problems concerned with the …

This paper investigates multiuser downlink data scheduling with quality-of-service (QoS)
provisioning over multiple shared fading channels, which, for a network point of view …

New scientific concepts, interpreted broadly, are continuously introduced in the literature, but
relatively few concepts have a long‐term impact on society. The identification of such …

The abuse of online games by automated programs, known as game bots, for gaining unfair
advantages has plagued millions of participating players with escalating severity in recent …

In this paper, we present a synthetic traffic model for the Universal Mobile
Telecommunication Systems (UMTS) based on measured trace data. The analysis and …

Trimmed L-moments, defined by Elamir and Seheult [2003. Trimmed L-moments. Comput.
Statist. Data Anal. 43, 299–314], summarize the shape of probability distributions or data …