The Extended Connection- Dependent Threshold Model for Elastic and Adaptive Traffic V. Vassilakis, I. Moscholios and M. Logothetis Wire Communications Laboratory, Department of Electrical & Computer Engineering, University of Patras, 265 04 Patras, Greece. E-mail: [email protected]
15
Embed
The Extended Connection-Dependent Threshold Model for Elastic and Adaptive Traffic
The Extended Connection-Dependent Threshold Model for Elastic and Adaptive Traffic. V. Vassilakis, I. Moscholios and M. Logothetis Wire Communications Laboratory, Department of Electrical & Computer Engineering, University of Patras, 265 04 Patras, Greece. - PowerPoint PPT Presentation
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
The Extended Connection-Dependent Threshold Model for
Elastic and Adaptive Traffic
V. Vassilakis, I. Moscholios and M. Logothetis
Wire Communications Laboratory,Department of Electrical & Computer Engineering,
Virtual Capacity : Used for Call Admission Control
j : system state ( 0 ≤ j ≤ T )Number of occupied resources assuming that
all in-service calls receive maximum bandwidth
Extended Connection-Dependent Threshold Model
Jk1 thresholds of kth service
bκ0 > bκ1 bandwidth requirements
μκ0 > μκ1 service rate (elastic calls)
μκ0 = μκ1 service rate (adaptive calls)
Example: An arriving video call to an ISDN node requests for 384 Kbps or, if the node is congested, 128 Kbps.
Extended Connection-Dependent Threshold Model
State Transition Diagram for a service with: one threshold: Jk1 two bandwidth requirements: bk0=2, bk1=1
In states j > C :
bandwidth reduction by r( j)=C/j for all calls
service rate reduction by r( j)=C/j for elastic calls
no service rate reduction for adaptive calls
State Probability
0
0
1 for 0
1ˆ ( )
ˆ ( )1
ˆ ( ) for 1,...,
0 othe
( )min( )
( )
rwise
k
le
k
la
l l l
l l l
S
kK l
k k kk
k k kk
=
S
kK l =
j
α b q j - b
q j =
α b
δ jC, j
δ j q j j
T- b j
0
ˆ( )( )
ˆ( )
T
j=
q jq j
q j
1( )
Sk k
T
Tk
j= -bB = q j
Call Blocking Probability Link Utilization
1 1) ( )(
T
j =
C
+j C=C q jU = j q j
Extended Connection-Dependent Threshold Model
Evaluation – Numerical Examples
We compare Analytical to Simulation results
1st service-class 2nd service-class
Link Utilization vs Traffic-load
Call Blocking Probability vs Traffic-load
We propose a new model the E-CDTM for the analysis of a single-link multi-rate loss system with two types of traffic, elastic and adaptive.
We present recurrent formulas for the calculation of state probabilities and determine the Call Blocking Probability and Link Utilization
The accuracy of the proposed calculations is verified by simulation results
Conclusion
Extended Connection-Dependent Threshold Model
Assumptions
The recurrent calculation of the state probabilities is based on: – local balance between adjacent states. – migration approximation: calls accepted in the system with other than the maximum bandwidth requirement are negligible within a space, called
migration space and related to the variable δk0( j). – upward approximation: calls accepted in the system with their maximum bandwidth are negligible within a space, called upward space and related to