Given a pool of motorists, how do we estimate the total intensity of those who had a prespecified number of traffic accidents in the past year? We previously have proposed the u,v method as a solution to estimation problems of this type. In this paper, we prove that the u, v method provides asymptotically efficient estimators in an important special case.

Probabilistic measures of uncertainty have been obtained as functions of time and birth and death rates in a queuing process. The variation of different entropy measures has been studied in steady and non-steady processes of queuing theory. Keywords—Uncertainty, steady state, non-steady state, traffic intensity, monotonocity

In this work we develop simple inference models based on finite capacity single server queues for estimating the buffer size and the intensity of cross traffic at the bottleneck link of a path between two hosts. Several pairs of moment-based estimators are proposed to estimate these two quantities. The best scheme is then identified through simulation. Keywords—Queueing, measurement, monitoring...

Bayes’ estimators of the traffic intensity ρ and various queue characteristics in an M/M/1 queue have been derived under the assumptions of different priors for ρ and the quadratic error loss function (QELF). Finally, a numerical example is given to illustrate the results

The current increase in data-centers traffic and cloud-based services presents a formidable challenge for optical interconnects. We examine these challenges, and review recent breakthroughs in advanced modulation formats formats for intensity modulation – direct detection. OCIS codes: (060.2360) Fiber optics links and subsystems; (060.4250) Networks; (060.4080) Modulation

Various papers on modeling the traffic of a network have been proposed. Amongst these, the most popular is the Effective Bandwidth based modeling by Kelly. An alternative proposal was recently made by Addie et al, and it is based on the Gaussian modeling approach. In this paper, we incorporated the two models into our Connection Admission Control (CAC) procedures. Hence, the admission decisions...

Intrusion Detection in MANET is one of the major concern in peerto-peer networking scenario where mobile / wireless nodes communicate with each other without any pre-defined infra-structural setup. This paper presents an overview of various intrusion detection models, identifying its issues, discusses on design and proposes an intrusion detection system using profile based traffic behavior scen...

In this paper, we study the problem of dynamic allocation of heterogeneous processors to parallel heterogeneous job traffic flows. Each traffic flow is a stationary ergodic random marked point process, with a parameter (traffic intensity rate) that depends on the job class. The service rates of the various job flows depend on both the job class and the processor class. This model captures the e...