A Novel Boundary Cutting on Data Transferring in Network Based on Nodes & Routers using Building a BC Decision Tree

Abstract

New applications of networks have demanded a multi-match packet classification in which the entire matching results along with highest-priority matching rule have to be returned and it is essential to discover competent algorithms to resolve classification problems. A new resourceful packet classification algorithm was introduced in our work named as boundary cutting. Mainly conventional applications of packet classification necessitate the maximum priority matching. The algorithm that was introduced has two principal advantages. Boundary cutting of projected algorithm is more effectual than that of earlier algorithms as it is based on rule boundaries to a certain extent than permanent intervals thus, amount of necessary memory is considerably reduced. Although boundary cutting loses indexing capability at internal nodes binary search recommend better-quality search performance.