TAILIEUCHUNG - Lecture Networking theory & fundamentals - Chapter 9&10

The following will be discussed in this chapter: M/G/1 queue, pollaczek-khinchin (P-K) formula, embedded markov chain observed at departure epochs, pollaczek-khinchin transform equation,queues with vacations, priority queueing. | Lecture Networking theory & fundamentals - Chapter 9&10 TCOM 501: Networking Theory & Fundamentals Lectures 9 & 10 M/G/1 Queue Prof. Yannis A. Korilis 1 10-2 Topics M/G/1 Queue Pollaczek-Khinchin (P-K) Formula Embedded Markov Chain Observed at Departure Epochs Pollaczek-Khinchin Transform Equation Queues with Vacations Priority Queueing 10-3 M/G/1 Queue Arrival Process: Poisson with rate λ Single server, infinite waiting room Service times: Independent identically distributed following a general distribution Independent of the arrival process Main Results: Determine the average time a customer spends in the queue waiting service (Pollaczek-Khinchin Formula) Calculation of stationary distribution for special cases only 10-4 M/G/1 Queue – Notation Wi : waiting time of customer i X i : service time of customer i Qi : number of customers waiting in queue (excluding the one in service) upon arrival of customer i Ri : residual service time of customer i = time until the customer found in service by customer i completes service Ai : number of arrivals during the service time X i of customer i Service Times X1, X2, , independent identically distributed RVs Independent of the inter-arrival times Follow a general distribution characterized by its pdf f X ( x ) , or cdf FX ( x ) Common mean E [ X ] = 1/ µ Common second moment E [ X 2 ] 10-5 M/G/1 Queue State Representation: {N (t ) : t ≥ 0} is not a Markov process – time spent at each state is not exponential R(t) = the time until the customer that is in service at time t completes service {( N (t ), R (t )) : t ≥ 0} is a continuous time Markov process, but the state space is not a countable set Finding the stationary distribution can be a rather challenging task Goals: Calculate average number of customers and average time-delay without first calculating the stationary .

• Quản trị mạng
• Networking theory
• Queueing Theory
• Lecture Networking theory
• Pollaczek khinchin formula
• Embedded markov chain
• Priority queueing
• Packet networks
• Probability theory
• The poisson process
• Little’s Theorem
• Markov Chains
• Discrete time markov chains
• Global balance equations
• Sojourn Times
• Time Averages
• Time reversal of Markov Chains
• Reversible markov chain
• Open jackson networks
• Network flows
• State dependent service rates
• Closed jackson networks
• Convolution algorithm
• Arrival theorem for closed networks
• Routing in data network
• Graph representation of a network
• Undirected graphs
• Processing delay
• Delay models
• Network layer
• Propagation delay
• Transmission delay
• Queueing delay
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