Behavior Expression Based Policy Compression Scheme for Cloud-Edge Collaborative Network

The excessively long Segment Identifier (SID) list in SRv6 challenges the promotion of SRv6 network slicing in cloudedge collaborative network. In this paper, we studied the problem of packet overhead during SRv6 SID processing in SRv6 network slicing services. We first design a new mechanism called Behavior Expression Slicing (BES) mechanism to establish the feasibility of dynamically virtual address allocation as well as SID compression based on adjacency information. Then we propose an algorithm to optimize compression efficiency in proposed BES mechanism. The simulation results indicate that the compression rate of the proposed mechanism and algorithm can reach over 75%.