can u please show the derivation of the variance of number of jobs in M/M/c system including the jobs in service and the jobs in queue , refering to the the book Art of Computer Systems Performance Analysis Techniques For Experimental Design Measurements Simulation And Modeling

by Raj Jain in chapter number 31 figur 31.4 formula number 8 please ans me

What do you do when you have multiple servers, all of then with diferent u's, and each one of them having a probability of being the one who serves a client when all of them are idle?

P0 in this case is 9% which is less than M/M/1 model. That means pb that server is free is decreased from 11% to 9%. But you are saying the server is free most of the times in this case. how?

12:20 for the love of God guys please help. I do not understand the sum. What is it the sum of? He brushes over it because c is only 2 and that makes me not understand the concept behind it. What if it was 4. Please help. I know it's probably super simple but my brain just refuses to process it.

## 32 Comments

## Rajani Nag

sir please…you are taking too much time for every topic

## Rajani Nag

sir i need simulation lecture…please upload monte carlo

## vijayendra shankar

thank you sir for explaining this well

## vvviik

nice one….thank u..

## ROROjolie

Great lecture!!!

## Louis Ekhoragbon

THANKS TO PROF.

## Asit Shukla

same here

## v shandilya

Thank you very much.

## attisajoo

can u please show the derivation of the variance of number of jobs in M/M/c system including the jobs in service and the jobs in queue , refering to the the book Art of Computer Systems Performance Analysis Techniques For Experimental Design Measurements Simulation And Modeling

by Raj Jain in chapter number 31 figur 31.4 formula number 8 please ans me

## Santosh Kumar

game theory 45:30

## multiattitude

Your session and examples are quite apprehensive. Many thanks sir

## multiattitude

Your session and examples are quite apprehensive. Many thanks sir

## wolesoft technologies ltd

A professor indeed. Great explanation. Brilliant presentation.

## Hani Nemati

Great presentation.

## Ripudaman Singh

Realy Great Presentation and Explanation………..Brilliant Prof.

## David Akoto

my professor well done

## TheSleyths

What do you do when you have multiple servers, all of then with diferent u's, and each one of them having a probability of being the one who serves a client when all of them are idle?

## Average Mind

Thank u Professor,

How can we calculate the "probability of waiting time more or less certain value ??"

Please clarify.

## Freddy

what..

## Mukesh Jhawariya

thanks..its going to save my time.

## Somdeep Sengupta

In Finding Lq…. The second step is not very clearly explained. Me thinks.

## Ahmad Nawaz

Great exp..

## vishal sr

P0 in this case is 9% which is less than M/M/1 model. That means pb that server is free is decreased from 11% to 9%. But you are saying the server is free most of the times in this case. how?

## Asra Habib

Is there any lecture which explains GI/M/1 system? and IPP/M/1 aswell?

## feras f

I really understand of topic where i get more example of M/M/C thank you so much professer

## Mohit K

Watched all the three lectures, remembered all the formula like a boss!

No Rote learning, Only Pure Understanding…… Thanks NPTEL 🙂

## Symon C.

12:20 for the love of God guys please help. I do not understand the sum. What is it the sum of? He brushes over it because c is only 2 and that makes me not understand the concept behind it. What if it was 4. Please help. I know it's probably super simple but my brain just refuses to process it.

## Ajay Yadav

Best lecture on queuing model….

## karthik n

really am very happy … I thank you …

## Kamal Azmi

excuse me. is there any solutions for the model: queue multi server with vacation?

## Avadhoot Hede

Great video series on Queueing Models

## Sanjay Dharroy

Excellent.