Software solution to decrease RSVP-TE signaling processing time in ASON

The GMPLS RSVP-TE signaling protocol is widely used in intelligent optical networks. Faster signaling processing time provides shorter time of resource on demand and restoration for failure. This paper proposes a software solution with the planar-chain approach (PCA), which utilizes the planar-chain data storage structure in the state block of RSVP-TE to reduce the signaling processing time complexity from O(N/sup 2/) to O(N). Numerical results demonstrate that the PCA is much faster than the traditional linear-chain approach (LCA).