'Exponentially distributed' diaporamas de présentation

Queuing Theory

Queuing Theory. Queuing Theory. Queuing theory is the mathematics of waiting lines. It is extremely useful in predicting and evaluating system performance.

739 views • 72 slides

Risk Analysis & Modelling

Risk Analysis & Modelling. Lecture 4: The Frequency-Severity Model. www.angelfire.com/linux/riskanalysis RiskCourseHQ@Hotmail.com. Recap of Last Weeks Class. In last weeks class we looked at the concept of continuous random values with a limitless number of possibilities

890 views • 70 slides

Introduction to Queuing and Simulation

Introduction to Queuing and Simulation. Chapter 6 Business Process Modeling, Simulation and Design. Overview (I). What is queuing/ queuing theory? Why is it an important tool? Examples of different queuing systems Components of a queuing system The exponential distribution & queuing

1.4k views • 69 slides

7. Reliability Modeling

1.1k views • 33 slides

Queuing System

Queuing System. Dr. Adil Yousif. Lecture 2. What is Queuing Theory?. Mathematical analysis of queues and waiting times in stochastic systems. Used extensively to analyze production and service processes exhibiting random variability in market demand (arrival times) and service times.

268 views • 24 slides

The Most Important Diagram

The Most Important Diagram. The Most Simple Model(?). r. S. S. The Most Simple Model(?). r. S. S. This model characterizes how S(t) is changing. The Most Simple Model(?). r. S. S. How many people are susceptible at time = t?

318 views • 22 slides

658 views • 17 slides

Functions and Transformations of Random Variables

Section 09. Functions and Transformations of Random Variables. Transformation of continuous X. Suppose X is a continuous random variable with pdf and cdf Suppose is a one-to-one function with inverse ; so that The random variable is a transformation of X with pdf:

386 views • 16 slides

S CCeR - Services over Content-Centric Routing

S CCeR - Services over Content-Centric Routing. Shashank Shanbhag University of Massachusetts, Amherst, MA, USA sshanbha@ecs.umass.edu. Nico Schwan, Ivica Rimac Bell Labs, Alcatel-Lucent, Stuttgart, Germany {nico.schwan, ivica.rimac}@alcatel-lucent.com. Matteo Varvello

113 views • 1 slides