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Queueing Theory (Delay Models)

Queueing Theory (Delay Models)

Queueing Theory (Delay Models). Introduction. Total delay of the i-th customer in the system T i = W i + ? i N(t) : the number of customers in the system N q (t) : the number of customers in the queue N s (t) : the number of customers in the service

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1.11k views • 62 slides
Detection of Interactive Stepping Stones

Detection of Interactive Stepping Stones

Detection of Interactive Stepping Stones. Shobha Venkataraman shobha@cs.cmu.edu Joint work with Avrim Blum & Dawn Song Carnegie Mellon University ICML Workshop 2006 June 29, 2006. X 1. X k. V. A. Victim. Attacker. Stepping Stone.

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364 views • 36 slides
Application of Methods of Queuing Theory to Scheduling in GRID

Application of Methods of Queuing Theory to Scheduling in GRID

Application of Methods of Queuing Theory to Scheduling in GRID. A Queuing Theory-based mathematical model is presented, and an explicit form of the optimal control procedure obtained as the solution to the problem of maximizing the system throughput. Why Queuing Theory?.

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273 views • 27 slides
Overview

Overview

Overview. G. Jogesh Babu. R Programming environment. Introduction to R programming language R is an integrated suite of software facilities for data manipulation, calculation and graphical display.

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191 views • 19 slides
Why are cortical spike trains irregular?

Why are cortical spike trains irregular?

How. Why are cortical spike trains irregular?. Arun P Sripati & Kenneth O Johnson Johns Hopkins University. Background/Motivation. The real reason: (What are the changes in firing variability during a shift in attention, and how are they caused?)

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235 views • 11 slides
ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall

ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall

ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall. Instructor: Hsiao-Ping Tsai Email: hptsai@nchu.edu.tw Office: EE711 Phone: 886-4-22851549 ext.711. General Course Information. Course Objective

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188 views • 10 slides
ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall

ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall

ELEC 4030E-4Z01/COMM 6008E-6001 Random Process ???? 2010 Fall. Instructor: Hsiao-Ping Tsai Email: hptsai@nchu.edu.tw Office: EE711 Phone: 886-4-22851549 ext.711. General Course Information. Course Objective

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173 views • 10 slides
CS 5291 Stochastic Processes for Networking

CS 5291 Stochastic Processes for Networking

CS 5291 Stochastic Processes for Networking. Instructor: Shun-Ren Yang Office: EECS 3202 Email: sryang@cs.nthu.edu.tw Office Hour: Tuesday morning 10:00-12:00. People. Instructor: Shun-Ren Yang Office: EECS 3202 Tel: ext. 31212 Email: sryang@cs.nthu.edu.tw Office hours:

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224 views • 8 slides
The Poisson Process

The Poisson Process

The Poisson Process. Poisson process, rate parameter l e.g. packets/second Three equivalent viewpoints of the Poisson process are illustrated in the next 3 slides. D. time. t. First Viewpoint. Behaviour in small time interval Bernoulli distribution 1 event with probability lD t

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457 views • 7 slides

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