Hi, I am trying to learn to draw graphs for performance models. As part of this process I have a sample problem from a technical paper "The Operational Analysis of Queueing Network Models" There are 3 componens and their visit rations and service times. V1S1 = (20)(.05) = 1.00 seconds (Total CPU time is the bottleneck ) V2S2 = (11)(.08) = .88 seconds (Total Disk time) V3S3 = (8)(.04)= .32 seconds (Total Drum time) These products sum to the minimal response time of 2.2 seconds M1 = Z/VISI = 20/1 = 20 terminals Now I want to draw the graph by sending these values as inputs to a queueing model. So if I plot terminals vs seconds the asymptote of the response time curve should intersect The y-axis at 20 which is M1 give above. Is this type of work done using Sci-Py to solve a queueing model ? Can I read some references ? Thanks, Mohan DISCLAIMER: ==========================================================================================================================================================The information contained in this e-mail message may be privileged and/or confidential and protected from disclosure under applicable law. It is intended only for the individual to whom or entity to which it is addressed as shown at the beginning of the message. If the reader of this message is not the intended recipient, or if the employee or agent responsible for delivering the message is not an employee or agent of the intended recipient, you are hereby notified that any review, dissemination,distribution, use, or copying of this message is strictly prohibited. If you have received this message in error, please notify us immediately by return e-mail and permanently delete this message and your reply to the extent it includes this message. Any views or opinions presented in this message or attachments are those of the author and do not necessarily represent those of the Company. All e-mails and attachments sent and received are subject to monitoring, reading, and archival by the Company.==========================================================================================================================================================
Hi Mohammed You might be interested in some of python code for queueing analysis at my homepage Http://Nicky.vanforeest.com Nicky On Aug 7, 2012 7:13 AM, "Mohan Radhakrishnan" <mohanr@fss.co.in> wrote:
Hi,****
** **
I am trying to learn to draw graphs for performance models. As part of this process I have a sample problem from a technical paper “The Operational Analysis of Queueing Network Models”****
** **
There are 3 componens and their visit rations and service times.****
** **
V1S1 = (20)(.05) = 1.00 seconds (Total CPU time *is the bottleneck* ) ****
** **
V2S2 = (11)(.08) = .88 seconds (Total Disk time)****
** **
V3S3 = (8)(.04)= .32 seconds (Total Drum time)****
** **
These products sum to the minimal response****
time of *2.2* seconds****
** **
M1 = Z/VISI = 20/1 = 20 terminals****
** **
** **
Now I want to draw the graph by sending these values as inputs to a queueing model. So if I plot terminals vs seconds the asymptote of the response time curve should intersect****
The y-axis at 20 which is M1 give above.****
** **
Is this type of work done using Sci-Py to solve a queueing model ? Can I read some references ?****
** **
Thanks,****
Mohan****
DISCLAIMER: ==========================================================================================================================================================
The information contained in this e-mail message may be privileged and/or confidential and protected from disclosure under applicable law. It is intended only for the individual to whom or entity to which it is addressed as shown at the beginning of the message. If the reader of this message is not the intended recipient, or if the employee or agent responsible for delivering the message is not an employee or agent of the intended recipient, you are hereby notified that any review, dissemination,distribution, use, or copying of this message is strictly prohibited. If you have received this message in error, please notify us immediately by return e-mail and permanently delete this message and your reply to the extent it includes this message. Any views or opinions presented in this message or attachments are those of the author and do not necessarily represent those of the Company. All e-mails and attachments sent and received are subject to monitoring, reading, and archival by the Company.
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Hi, I tried to read your page earlier but it is several steps ahead of me ! There may be simpler material. Thanks, Mohan ________________________________ From: scipy-user-bounces@scipy.org [mailto:scipy-user-bounces@scipy.org] On Behalf Of nicky van foreest Sent: Thursday, August 09, 2012 3:17 AM To: SciPy Users List Subject: Re: [SciPy-User] Sample queueing analysis Hi Mohammed You might be interested in some of python code for queueing analysis at my homepage Http://Nicky.vanforeest.com Nicky On Aug 7, 2012 7:13 AM, "Mohan Radhakrishnan" <mohanr@fss.co.in> wrote: Hi, I am trying to learn to draw graphs for performance models. As part of this process I have a sample problem from a technical paper "The Operational Analysis of Queueing Network Models" There are 3 componens and their visit rations and service times. V1S1 = (20)(.05) = 1.00 seconds (Total CPU time is the bottleneck ) V2S2 = (11)(.08) = .88 seconds (Total Disk time) V3S3 = (8)(.04)= .32 seconds (Total Drum time) These products sum to the minimal response time of 2.2 seconds M1 = Z/VISI = 20/1 = 20 terminals Now I want to draw the graph by sending these values as inputs to a queueing model. So if I plot terminals vs seconds the asymptote of the response time curve should intersect The y-axis at 20 which is M1 give above. Is this type of work done using Sci-Py to solve a queueing model ? Can I read some references ? Thanks, Mohan DISCLAIMER: ======================================================================== ======================================================================== ========== The information contained in this e-mail message may be privileged and/or confidential and protected from disclosure under applicable law. It is intended only for the individual to whom or entity to which it is addressed as shown at the beginning of the message. If the reader of this message is not the intended recipient, or if the employee or agent responsible for delivering the message is not an employee or agent of the intended recipient, you are hereby notified that any review, dissemination,distribution, use, or copying of this message is strictly prohibited. If you have received this message in error, please notify us immediately by return e-mail and permanently delete this message and your reply to the extent it includes this message. Any views or opinions presented in this message or attachments are those of the author and do not necessarily represent those of the Company. All e-mails and attachments sent and received are subject to monitoring, reading, and archival by the Company. ======================================================================== ======================================================================== ========== _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user DISCLAIMER: ==========================================================================================================================================================The information contained in this e-mail message may be privileged and/or confidential and protected from disclosure under applicable law. It is intended only for the individual to whom or entity to which it is addressed as shown at the beginning of the message. If the reader of this message is not the intended recipient, or if the employee or agent responsible for delivering the message is not an employee or agent of the intended recipient, you are hereby notified that any review, dissemination,distribution, use, or copying of this message is strictly prohibited. If you have received this message in error, please notify us immediately by return e-mail and permanently delete this message and your reply to the extent it includes this message. Any views or opinions presented in this message or attachments are those of the author and do not necessarily represent those of the Company. All e-mails and attachments sent and received are subject to monitoring, reading, and archival by the Company.==========================================================================================================================================================
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