'Average service time' diaporamas de présentation

PeopleTools Application Server & BEA Tuxedo Internals

PeopleTools Application Server & BEA Tuxedo Internals. david.kurtz@go-faster.co.uk Go-Faster Consultancy Ltd. http://www.go-faster.co.uk. Who am I?. Independent Consultant Performance Tuning PeopleSoft / Oracle. Rules of Engagement. Interrupt me: if you think I have got something wrong

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Assignment 1: M/M/1 Performance Evaluation

Assignment 1: M/M/1 Performance Evaluation. Example: The arrival rate to a GAP store is 6 customers per hour and has Poisson distribution. The service time is 5 min per customer and has exponential distribution. On average how many customers are in the waiting line?

2.61k views • 50 slides

Performance of Distributed Systems

Performance of Distributed Systems. Performance Metrics Measurements Performance Modeling Dimensioning Optimization. Performance Metrics. 1. Performance Metrics. Process n 1. Process 2. Process n 2. Process 1. Process 2. Process 1. Request. Response. Process n 4. Process 2.

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4.1.1 Open and Closed Models

Chapter 4: Fundamentals of Queuing Models Structure and Performance Parameters Operational Analysis of Queuing Network General Features of Queuing Network Analysis of Multiple-Class Networks Calibration of Queuing Models.

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Fundamental Simulation Concepts

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ISE 195 Introduction to Industrial & Systems Engineering

ISE 195 Introduction to Industrial & Systems Engineering. Queuing Theory (Topics in ISE 484). Ref: Applied Management Science, 2 nd Ed., Lawrence & Pasternack Slides based on textbook slides. Queuing is Familiar. Queuing Occurs in Service Systems. Introduction.

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OPSM 405 Service Management

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Random Variables

Random Variables. Random variables define a real valued function over a sample space. The value of a random variable is determined by the outcome of an experiment, and we can assign probabilities to these outcomes. For the role of a die and rv Y: P{Y=i} = 1/6 for any number i=1,2,3,4,5,or 6.

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Simulation Examples ~ By Hand ~ Using Excel

Simulation Examples ~ By Hand ~ Using Excel. Chapter 2. Why do examples by hand or spreadsheet??. Insight to system Hands-on Helps with programming Complex systems not amenable to spreadsheet simulation. Process . Determine Characteristics of system Construct simulation table

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Simulation Examples ~ By Hand ~ Using Excel

Simulation Examples ~ By Hand ~ Using Excel. Chapter 2. Why do examples by hand or spreadsheet??. Insight to system Hands-on Helps with programming Complex systems not amenable to spreadsheet simulation. Process . Determine Characteristics of system Construct simulation table

1.74k views • 31 slides

Modeling and Simulation A Single-Server Queue

Princess Nora University. Modeling and Simulation A Single-Server Queue. Arwa Ibrahim Ahmed. A Single-Server Queue:. Certainly the most common queue discipline is FIFo.

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IBM i with External Storage Customer References Jana Jamsek ATS Europe

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Queuing models

The Fundamentals. Queuing models. Collection of entities kept in order Addition of entity at the rear of the terminal and removal at the front terminal. What is a queue?. Used to approximate a real queuing situation to be analyzed mathematically

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Waiting Lines

Waiting Lines. Students should be able to: Categorize a waiting line problem as to customer population, waiting line arrangement, and service facility arrangement. Describe the operating characteristics of waiting line systems and the important decisions.

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WiMax-Optimal Throughput Scheduling

WiMax-Optimal Throughput Scheduling. SURVEY. Optimal Throughput Scheduling. Reason The bit rate can be significantly increased. Objective Analytically characterize the performance achieved by multiuser OFDM-TDMA and OFDMA systems from the scheduling viewpoint.

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Managing workforce flow Seminar exercises

Managing workforce flow Seminar exercises. Measuring labour turnover. Indices : Labour turnover index (% of the average number of workers) Survival rate (% of the total entrants) Half-life index (time taken to reducing a cohort to the half of its original size)

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M/G/1 queue

Shanghai Jiao Tong University. M/G/1 queue. M/G/1 queue. The M/G/1 queue. G eneral service time distribution - i.i.d (identical independent distribution) Service time is independent from arrival = 1/ ? , average service time : Second moment of service time, <? .

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DADSS: Queuing Models

DADSS: Queuing Models . April 2, 2013. Administrative. Midterm 2 is coming up Monday; old exams posted. Queuing: Chapter 13 in the textbook (4 th ed ). Basic Elements of Queues. Arrival times Interarrival times: the times between successive arrivals. Estimate the distribution

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STA107 Lecture 31 Bernoulli Queue

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