The Introduction of QNAT and Webstress

The Introduction of QNAT and Webstress

Queueing Network Analysis Tool
& Webserver Stress Tool
Advisor: Professor Bai
Student: Yung-Sen Cheng
Date: September 25, 2006
Computer System Laboratory, Institute of Electronic Engineering, FJU
1
Outline
„
The Introduction of QNAT
„
The Installation of QNAT
„
How to use QNAT
„
The Introduction of Webstress
„
The Installation and Use of Webstress
„
References
„
Conclusion
„
Demo
Computer System Laboratory, Institute of Electronic Engineering, FJU
2
The Introduction of QNAT
„
Queueing Network Analysis Tool
‹
Easy to setup parameters
‹
High-performance analysis and simulation
‹
Based on Mathematica
Computer System Laboratory, Institute of Electronic Engineering, FJU
3
The Installation of Mathematica 4.0
Computer System Laboratory, Institute of Electronic Engineering, FJU
4
Ask for the License ID and Password
Computer System Laboratory, Institute of Electronic Engineering, FJU
5
MATHPASS.EXE Æ generate ID & PW
Computer System Laboratory, Institute of Electronic Engineering, FJU
6
Key in the License ID and Password
Computer System Laboratory, Institute of Electronic Engineering, FJU
7
The Installation of QNAT
Computer System Laboratory, Institute of Electronic Engineering, FJU
8
The Pre-Setup of QNAT
Computer System Laboratory, Institute of Electronic Engineering, FJU
9
The Finish of Installation
Computer System Laboratory, Institute of Electronic Engineering, FJU
10
How to Use QNAT
α
λ
μ1
μd
1−α
μ2
Computer System Laboratory, Institute of Electronic Engineering, FJU
11
Queueing Network Analysis Tool
Computer System Laboratory, Institute of Electronic Engineering, FJU
12
The Blocking Nodes in the Network
M/M/1/N
M/M/1
Computer System Laboratory, Institute of Electronic Engineering, FJU
13
Computer System Laboratory, Institute of Electronic Engineering, FJU
14
The Type of Network
Computer System Laboratory, Institute of Electronic Engineering, FJU
15
The Type of Blocking
„
Transfer Æ The blocked customer waits at the server from where it has
just finished service and blocks it till the destination becomes unblocking.
„
RS-RD Æ The destination node is chosen according to the routing
probabilities after every service completion.
„
RS-FD Æ The customer attempts to join the same destination node after
subsequent service completions.
„
Rejection Æ The blocked customer leaves the network.
Computer System Laboratory, Institute of Electronic Engineering, FJU
16
The Number of nodes
α
λ
1
μd
1−α
2
μ1
3
μ2
Computer System Laboratory, Institute of Electronic Engineering, FJU
17
Click
Mouse
Computer System Laboratory, Institute of Electronic Engineering, FJU
18
The Property of a node
λ
μ
The Size
of Buffer
Computer System Laboratory, Institute of Electronic Engineering, FJU
19
The Property of a node (cont.)
μ
λ
μ
μ
The Number of
Servers = 3
Computer System Laboratory, Institute of Electronic Engineering, FJU
20
Computer System Laboratory, Institute of Electronic Engineering, FJU
21
The Result of Analysis of a node
E(n)
E(t)
ρ
Computer System Laboratory, Institute of Electronic Engineering, FJU
22
The Performance of the System
Computer System Laboratory, Institute of Electronic Engineering, FJU
23
Collect and Plot
2.0
1.8
Service Rate = 20
Service Rate = 10
Response Time (sec)
1.6
1.4
1.2
1.0
0.8
0.6
0.4
0.2
0
1
2
3
4
5
6
7
8
Arrival Rate (Requests/sec)
9
10
Computer System Laboratory, Institute of Electronic Engineering, FJU
24
The Introduction of Webstress
„
Webserver Stress Tool
‹
Performance Tests
‹
Load Tests
‹
Stress Tests
‹
Ramp Tests
Computer System Laboratory, Institute of Electronic Engineering, FJU
25
Download
Webstress
http://cs.ee.fju.edu.tw
Computer System Laboratory, Institute of Electronic Engineering, FJU
26
How to Use Webstress
Testing
Time
λ
Computer System Laboratory, Institute of Electronic Engineering, FJU
27
Input the URL of Test
The Number
of URLs
Input the
URL of Test
Computer System Laboratory, Institute of Electronic Engineering, FJU
28
Response
Time
Computer System Laboratory, Institute of Electronic Engineering, FJU
29
Save the
Result to
File
Computer System Laboratory, Institute of Electronic Engineering, FJU
30
The Result of Measurement the
Webpage of Multiplication Operation
Click Times and Errors (per URL)
110
g
b
c
d
e
f
b
c
d
e
f
g
Average Request Time [ms]
100
90
Req-Times:
Errors:
80
70
60
50
40
30
20
10
0
0
500
1,000
Time Since Start of Test [s]
Errors [%]
0
1,500
Test Ty pe: TIME (run test f or 30 minutes)
User Simulation: 10 simultaneous users - 1 seconds between clicks
Computer System Laboratory, Institute of Electronic Engineering, FJU
31
References
„
„
„
„
„
Chia-Ya Chen, “The Performance Equalizing Analysis and Measurement for Multiple
Grouping of the Web Cluster System,” Master Thesis, Department of Electronic
Engineering, Fu Jen Catholic University, Taipei, Taiwan, July 2004.
Yu-Nien Yang, “Analysis and Measurement of the Equivalent Model of Serial and
Parallel Queues for a Web Cluster with a Low Rejection Rate,” Master Thesis,
Department of Electronic Engineering, Fu Jen Catholic University, Taipei, Taiwan,
June 2006.
D. Manjunath, D.M. Bhaskar, Hema Tahilramani, Sanjay K. Bose, and M.N. Umesh,
“QNAT: A GRAPHICAL TOOL FOR THE ANALYSIS OF QUEUEING NETWORKS,”
Proceedings of IEEE Region 10 International Conference on Global Connectivity in
Energy, Computer, Communication and Control, 1998.
Hema Tahilramani Kaur, D. Manjunath, and Sanjay K. Bose, “The Queueing
Network Analysis Tool (QNAT),” Proceedings of IEEE 8th International Symposium
on Modeling, Analysis and Simulation of Computer and Telecommunication Systems,
2000.
http://download2.paessler.com/download/webstressmanual.pdf
Computer System Laboratory, Institute of Electronic Engineering, FJU
32
Conclusion
„
The most important is the correctness of your model.
„
Collect and plot the results, and then verify them.
„
Compare results of simulation and measurement with
theorem.
Computer System Laboratory, Institute of Electronic Engineering, FJU
33
Demo - Measure the Response Time of
Embedded Home Server
Computer System Laboratory, Institute of Electronic Engineering, FJU
34