--%>

Explain Queuing theory

Queuing theory:

• Queuing theory deals with the analysis of lines where customers wait to receive a service:

– Waiting at Quiznos
– Waiting to check-in at an airport
– Kept on hold at a call center
– Streaming video over the net
– Requesting a web service

• A queue is formed when request for services outpace the ability of the server(s) to service them immediately

– Requests arrive faster than they can be processed (unstable queue)
– Requests do not arrive faster than they can be processed but their processing is delayed by some time (stable queue)

• Queues exist because infinite capacity is infinitely expensive and excessive capacity is excessively expensive Queuing Theory Hall of Fame: Erlang, Kendall, Little, Jackson, Buzen, Denning.

   Related Questions in Basic Statistics

  • Q : Define Operational Analysis

    Operational Analysis: • Analysis method based on the measurement of the operational characteristics of the system.

    Q : Statistics basic question This week you

    This week you will analyze if women drink more sodas than men.  For the purposes of this Question, assume that in the past there has been no difference.  However, you have seen lots of women drinking sodas the past few months.  You will perform a hypothesis test to determine if women now drink more

  • Q : Problem on queuing diagram Draw a 

    Draw a queuing diagram for the systems below and describe them using Kendall’s notation: A) Single CPU system <

  • Q : Define Utilization Law Utilization Law

    Utilization Law: • ρk = XK . SK = X . DK • Utilization of a resource is the fraction

  • Q : Designing a system What are the

    What are the questions that comes into mind when designing a system?

  • Q : State Littles Law Little’s Law : • L =

    Little’s Law: • L = λR = XR • Lq = λW = XW • Steady state system • Little’s Law holds as long as customers are not destroyed or&nbs

  • Q : Statistics for Management Assignment

    Q : Compute two sample standard deviations

    Consider the following data for two independent random samples taken from two normal populations. Sample 1 14 26 20 16 14 18 Sample 2 18 16 8 12 16 14 a) Com

  • Q : Model Checking Approach Model Checking

    Model Checking Approach: • Specify program model and exhaustively evaluate that model against a speci?cation        –Check that properties hold   

  • Q : Explain Service times Service times: A)

    Service times:A) In most cases, servicing a request takes a “short” time, but in a few occasions requests take much longer.B) The probability of completing a service request by time t, is independent of how much tim