IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 16, NO. 1, FEBRUARY 2008 105
Two Techniques for Fast Computation of
Constrained Shortest Paths
Shigang Chen, Member, IEEE, Meongchul Song, Member, IEEE, and Sartaj Sahni, Fellow, IEEE
Abstract—Computing constrained shortest paths is fundamental
to some important network functions such as QoS routing, MPLS
path selection, ATM circuit routing, and traffic engineering. The
problem is to find the cheapest path that satisfies certain constraints.
In particular, finding the cheapest delay-constraine ....etc

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TWO TECHNIQUES FOR FAST COMPUTATION OF CONSTRAINED SHORTEST PATH

Abstract: Computing constrained shortest paths is fundamental to some important network functions such as QoS routing, MPLS path selection, ATM circuit routing, and traffic engineering. The problem is to find the cheapest path that satisfies certain constraints. In particular, finding the cheapest delay-constrained path is critical for real-time data flows such as voice/video calls. Because it is NP-complete, much research has been designing heuristic algorithms that solve the ....etc

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Two Techniques for Fast Computation of Constrained Shortest Paths

abstract:
Computing constrained shortest paths is fundamental to some important network functions such as QoS routing, MPLS path selection, ATM circuit routing, and traffic engineering. The problem is to find the cheapest path that satisfies certain constraints. In particular, finding the cheapest delay-constrained path is critical for real-time data flows such as voice/video calls. Because it is NP-complete, much research has been designing heuristic algorithms tha ....etc

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Two Techniques For Fast Computation of Constrained Shortest Paths
A major obstacle against implementing distributed multimedia applications such as web broadcasting, video teleconferencing and remote diagnosis, is the difficulty of ensuring quality of service (QoS) over the Internet. A fundamental problem that is present in many important network functions such as QoS routing, MPLS path selection and traffic engineering is to find the constrained shortest path that satisfies a set of constraints. For interactive real time traffic, t ....etc

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Binary and Mixed-Integer Programming

The general branch and bound approach described in the previous chapter can be customized forspecial situations. This chapter addresses two special situations:
when all of the variables are binary (known as “Binary Integer Programming” or BIP),when some or all of the variables are integer-valued and the objective function and all of the constraints are linear (known as “Mixed Integer Programming”, MIP, or “MixedInteger Linear Programming”, MILP).
Binary Integer Programming
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