Abstract
We present mathematical models that determine the optimal parameters for strategically routing multidestination traffic in an end-to-end network setting. Multidestination traffic refers to a traffic type that can be routed to any one of a multiple number of destinations. A growing number of communication services is based on multidestination routing. In this parameter-driven approach, a multidestination call is routed to one of the candidate destination nodes in accordance with predetermined decision parameters associated with each candidate node. We present three different approaches: 1) a link utilization (LU) approach, 2) a network cost (NC) approach, and 3) a combined parametric (CP) approach. The LU approach provides the solution that would result in an optimally balanced link utilization, whereas the NC approach provides the least expensive way to route traffic to destinations. The CP approach, on the other hand, provides multiple solutions that help leverage link utilization and cost. The LU approach has in fact been implemented by a long distance carrier, resulting in a considerable efficiency improvement in its international direct services, as summarized herein.
| Original language | English |
|---|---|
| Pages (from-to) | 720-728 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
| Volume | 31 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 1 2001 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Artificial Intelligence
- Human-Computer Interaction
Cite this
Strategic parameter-driven routing models for multidestination traffic in telecommunication networks. / Lee, Young; Tien, James M.
In: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 31, No. 5, 01.10.2001, p. 720-728.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Strategic parameter-driven routing models for multidestination traffic in telecommunication networks
AU - Lee, Young
AU - Tien, James M.
PY - 2001/10/1
Y1 - 2001/10/1
N2 - We present mathematical models that determine the optimal parameters for strategically routing multidestination traffic in an end-to-end network setting. Multidestination traffic refers to a traffic type that can be routed to any one of a multiple number of destinations. A growing number of communication services is based on multidestination routing. In this parameter-driven approach, a multidestination call is routed to one of the candidate destination nodes in accordance with predetermined decision parameters associated with each candidate node. We present three different approaches: 1) a link utilization (LU) approach, 2) a network cost (NC) approach, and 3) a combined parametric (CP) approach. The LU approach provides the solution that would result in an optimally balanced link utilization, whereas the NC approach provides the least expensive way to route traffic to destinations. The CP approach, on the other hand, provides multiple solutions that help leverage link utilization and cost. The LU approach has in fact been implemented by a long distance carrier, resulting in a considerable efficiency improvement in its international direct services, as summarized herein.
AB - We present mathematical models that determine the optimal parameters for strategically routing multidestination traffic in an end-to-end network setting. Multidestination traffic refers to a traffic type that can be routed to any one of a multiple number of destinations. A growing number of communication services is based on multidestination routing. In this parameter-driven approach, a multidestination call is routed to one of the candidate destination nodes in accordance with predetermined decision parameters associated with each candidate node. We present three different approaches: 1) a link utilization (LU) approach, 2) a network cost (NC) approach, and 3) a combined parametric (CP) approach. The LU approach provides the solution that would result in an optimally balanced link utilization, whereas the NC approach provides the least expensive way to route traffic to destinations. The CP approach, on the other hand, provides multiple solutions that help leverage link utilization and cost. The LU approach has in fact been implemented by a long distance carrier, resulting in a considerable efficiency improvement in its international direct services, as summarized herein.
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U2 - 10.1109/3477.956033
DO - 10.1109/3477.956033
M3 - Article
C2 - 18244836
AN - SCOPUS:0035481228
VL - 31
SP - 720
EP - 728
JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SN - 1083-4419
IS - 5
ER -