**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 -approximation of the problem with an adjustable accuracy. A common approach is to discretize (i.e., scale and round) the link delay or link cost, which transforms the original problem to a simpler one solvable in polynomial time. The efficiency of the algorithms directly relates to the magnitude of the errors introduced during discretization. In this paper, we propose two techniques that reduce the discretization errors, which allow faster algorithms to be designed. Reducing the overhead of computing constrained shortest paths is practically important for the successful design of a high-throughput QoS router, which is limited at both processing power and memory space. Our simulations show that the new algorithms reduce the execution time by an order of magnitude on power-law topologies with 1000 nodes.

**Existing System:**

- Existing system uses RTF and RTC built up for discretization error along a path.
- Here efficiency of the algorithms directly relates to the magnitude

of the errors introduced during discretization .

**Proposed System:**

- In our project we use two techniques to decrease the discretion error.

- Here we use randomized discretization and path delay discretization techniques.

- The above new techniques either make the link errors to cancel out each other along the path or treat the path delay as a whole for discretization, which results in much smaller errors.

- The algorithms based on these techniques run much faster than the best existing algorithm

**System Requirements:**

**Hardware:**

PROCESSOR : PENTIUM IV 2.6 GHz

RAM : 512 MB DD RAM

MONITOR : 15” COLOR

HARD DISK : 20 GB

CDDRIVE : LG 52X

KEYBOARD : STANDARD 102 KEYS

MOUSE : 3 BUTTONS

**Software:**

FRONT END : SWINGS,JFRAMEBUILDER.

OPERATING SYSTEM : Window’s Xp

** **BACK END : Sql Server 2000

For Explanation/Installation of above project by our expert faculty please register here