Balancing Reduces Asymptotic Variance of Outputs Yoni Nazarathy * EURANDOM, Eindhoven University of Technology, The Netherlands. Based on some joint works.

Slides:



Advertisements
Similar presentations
Lecture 10 Queueing Theory. There are a few basic elements common to almost all queueing theory application. Customers arrive, they wait for service in.
Advertisements

Page 1 Alan Scheller-Wolf Lunteren, The Netherlands January 15, 2013 Things I Thought I Knew About Queueing Theory, but was Wrong About: Part 1, Multiserver.
Queueing Theory: Recap
1 ELEN 602 Lecture 8 Review of Last lecture –HDLC, PPP –TDM, FDM Today’s lecture –Wavelength Division Multiplexing –Statistical Multiplexing –Preliminary.
ECS 152A Acknowledgement: slides from S. Kalyanaraman & B.Sikdar
CSE 221: Probabilistic Analysis of Computer Systems Topics covered: Simple queuing models (Sec )
1 Queueing Theory H Plan: –Introduce basics of Queueing Theory –Define notation and terminology used –Discuss properties of queuing models –Show examples.
Rensselaer Polytechnic Institute © Shivkumar Kalvanaraman & © Biplab Sikdar1 ECSE-4730: Computer Communication Networks (CCN) Network Layer Performance.
Effect of higher moments of job size distribution on the performance of an M/G/k system VARUN GUPTA Joint work with: Mor Harchol-Balter Carnegie Mellon.
Fundamental Characteristics of Queues with Fluctuating Load (appeared in SIGMETRICS 2006) VARUN GUPTA Joint with: Mor Harchol-Balter Carnegie Mellon Univ.
Effect of higher moments of job size distribution on the performance of an M/G/k system VARUN GUPTA Joint work with: Mor Harchol-Balter Carnegie Mellon.
Finite Buffer Fluid Networks with Overflows Yoni Nazarathy, Swinburne University of Technology, Melbourne. Stijn Fleuren and Erjen Lefeber, Eindhoven University.
Lecture 7  Poisson Processes (a reminder)  Some simple facts about Poisson processes  The Birth/Death Processes in General  Differential-Difference.
References for M/G/1 Input Process
Flows and Networks Plan for today (lecture 5): Last time / Questions? Waiting time simple queue Little Sojourn time tandem network Jackson network: mean.
Asaf Cohen (joint work with Rami Atar) Department of Mathematics University of Michigan Financial Mathematics Seminar University of Michigan March 11,
Yoni Nazarathy EPPS EURANDOM November 4, 2010
Queueing Theory I. Summary Little’s Law Queueing System Notation Stationary Analysis of Elementary Queueing Systems  M/M/1  M/M/m  M/M/1/K  …
Queuing Theory Summary of results. 2 Notations Typical performance characteristics of queuing models are: L : Ave. number of customers in the system L.
A bit on Queueing Theory: M/M/1, M/G/1, GI/G/1 Yoni Nazarathy * EURANDOM, Eindhoven University of Technology, The Netherlands. (As of Dec 1: Swinburne.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa On the Variance of Queueing Output Processes Haifa Statistics.
On the variance curve of outputs for some queues and networks Yoni Nazarathy Gideon Weiss Yoav Kerner QPA Seminar, EURANDOM January 8, 2009.
Finite Buffer Fluid Networks with Overflows Yoni Nazarathy, Swinburne University of Technology, Melbourne. Stijn Fleuren and Erjen Lefeber, Eindhoven University.
CS433 Modeling and Simulation Lecture 13 Queueing Theory Dr. Anis Koubâa 03 May 2009 Al-Imam Mohammad Ibn Saud University.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa The Asymptotic Variance of the Output Process of Finite.
Parameter Estimation Problems in Queueing and Related Stochastic Models Yoni Nazarathy School of Mathematics and Physics, The University of Queensland.
Queueing Analysis of Production Systems (Factory Physics)
Overflow Queueing Networks: Limiting Traffic Equations, Trajectories and Sojourn Times Stijn Fleuren, Yoni Nazarathy, Erjen Lefeber Open Problem Session.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa The Asymptotic Variance of the Output Process of Finite.
Stability using fluid limits: Illustration through an example "Push-Pull" queuing network Yoni Nazarathy* EURANDOM Contains Joint work with Gideon Weiss.
Queuing Theory Basic properties, Markovian models, Networks of queues, General service time distributions, Finite source models, Multiserver queues Chapter.
Flows and Networks Plan for today (lecture 4): Last time / Questions? Output simple queue Tandem network Jackson network: definition Jackson network: equilibrium.
TexPoint fonts used in EMF.
Modeling and Analysis of Computer Networks
Networks Plan for today (lecture 8): Last time / Questions? Quasi reversibility Network of quasi reversible queues Symmetric queues, insensitivity Partial.
On the variance curve of outputs for some queues and networks Yoni Nazarathy Gideon Weiss Yoav Kerner CWI Amsterdam March 2009.
Appointment Systems - a Stochastic and Fluid Approach Michal Penn The William Davidson Faculty of Industrial Engineering and Management Technion - Israel.
On Control of Queueing Networks and The Asymptotic Variance Rate of Outputs Ph.d Summary Talk Yoni Nazarathy Supervised by Prof. Gideon Weiss Haifa Statistics.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa The Asymptotic Variance Rate of the Departure Process of.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa On the Asymptotic Variance Rate of the Output Process of.
Positive Harris Recurrence and Diffusion Scale Analysis of a Push-Pull Queueing Network Yoni Nazarathy and Gideon Weiss University of Haifa ValueTools.
ORSIS Conference, Jerusalem Mountains, Israel May 13, 2007 Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa.
STUDENTS PROBABILITY DAY Weizmann Institute of Science March 28, 2007 Yoni Nazarathy (Supervisor: Prof. Gideon Weiss) University of Haifa Yoni Nazarathy.
State N 2.6 The M/M/1/N Queueing System: The Finite Buffer Case.
M/M/1 Queues Customers arrive according to a Poisson process with rate. There is only one server. Service time is exponential with rate  j-1 jj+1...
The M/M/ N / N Queue etc COMP5416 Advanced Network Technologies.
The Asymptotic Variance of Departures in Critically Loaded Queues Yoni Nazarathy * EURANDOM, Eindhoven University of Technology, The Netherlands. (As of.
Computer Networking Queueing (A Summary from Appendix A) Dr Sandra I. Woolley.
14 th INFORMS Applied Probability Conference, Eindhoven July 9, 2007 Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University.
Yoni Nazarathy Gideon Weiss University of Haifa Yoni Nazarathy Gideon Weiss University of Haifa The Asymptotic Variance of the Output Process of Finite.
On the Variance of Output Counts of Some Queueing Systems Yoni Nazarathy Gideon Weiss SE Club, TU/e April 20, 2008.
Flows and Networks Plan for today (lecture 3): Last time / Questions? Output simple queue Tandem network Jackson network: definition Jackson network: equilibrium.
Mohammad Khalily Islamic Azad University.  Usually buffer size is finite  Interarrival time and service times are independent  State of the system.
Queueing Theory II.
Flows and Networks Plan for today (lecture 4):
Queueing Theory What is a queue? Examples of queues:
Finite M/M/1 queue Consider an M/M/1 queue with finite waiting room.
Birth-Death Process Birth – arrival of a customer to the system
Queueing Theory Carey Williamson Department of Computer Science
Departure Process Variability of Queues and Queueing Networks
Queueing Theory II.
Networks of queues Networks of queues reversibility, output theorem, tandem networks, partial balance, product-form distribution, blocking, insensitivity,
Queueing networks.
The Variance of Production Counts over a Long Time Horizon
Carey Williamson Department of Computer Science University of Calgary
Departure Process Variability of Queues and Networks
Queueing Theory Fundamentals
LECTURE 09 QUEUEING THEORY PART3
Presentation transcript:

Balancing Reduces Asymptotic Variance of Outputs Yoni Nazarathy * EURANDOM, Eindhoven University of Technology, The Netherlands. Based on some joint works with Ahmad Al Hanbali, Michel Mandjes, Gideon Weiss and Ward Whitt QTNA 2010, Beijing, July 26, *Supported by NWO-VIDI Grant of Erjen Lefeber

Overview GI/G/1/K Queue (with or ) number of customers served during Asymptotic variance Surprising results when Balancing Reduces Asymptotic Variance of Outputs

The GI/G/1/K Queue overflows * Load: * Squared coefficient of variation: * Assume

Variance of Outputs * Stationary stable M/M/1, D(t) is PoissonProcess( ): * Stationary M/M/1/1 with. D(t) is RenewalProcess(Erlang(2, )): * In general, for renewal process with : * The output process of most queueing systems is NOT renewal Asymptotic Variance Simple Examples: Notes:

Asymptotic Variance for (simple) After finite time, server busy forever… is approximately the same as when or

Intermediate Summary GI/G/1GI/G/1/K M/M/1 M/M/1/K ? ? ? ?

B alancing R educes A symptotic V ariance of O utputs Theorem (Al Hanbali, Mandjes, N., Whitt 2010): For the GI/G/1 queue with, under some further technical conditions: Theorem (N., Weiss 2008): For the M/M/1/K queue with : Conjecture (N., 2009): For the GI/G/1/K queue with, under further technical conditions :

BRAVO Summary for GI/G/1/K For GI/G/1/K with : Proven: : M/M/1/K : * M/M/1 * Assuming finite forth moments: *M/G/1 *GI/NWU/1 (includes GI/M/1) *Any GI/G/1 with Numerically Conjectured: GI/G/1/K with light tails

Numerical Illustration: M/M/1/K

Numerical Illustration: M/M/1 (finite T)

01 K K-1 Some (partial) intuition for M/M/1/K Easy to see:

References Yoni Nazarathy and Gideon Weiss, The asymptotic variance rate of the output process of finite capacity birth-death queues. Queueing Systems, 59(2): , Yoni Nazarathy, 2009, The variance of departure processes: Puzzling behavior and open problems. Preprint, EURANDOM Technical Report Series, Ahmad Al-Hanbali, Michel Mandjes, Yoni Nazarathy and Ward Whitt. Preprint. The asymptotic variance of departures in critically loaded queues. Preprint, EURANDOM Technical Report Series,