Joint optimization of intra- and inter-autonomous system traffic engineering

Abstract

Abstract-Traffic Engineering (TE) involves network configuration in order to achieve optimal IP network performance. The existing literature considers intra-and inter-AS (Autonomous System) TE independently. However, if these two aspects are considered separately, the overall network performance may not be truly optimized. This is due to the interaction between intraand inter-AS TE, where a good solution of inter-AS TE may not be good for intra-AS TE. To remedy this situation, we propose a joint optimization of intra-and inter-AS TE in order to improve the overall network performance by simultaneously finding the best egress points for inter-AS traffic and the best routing scheme for intra-AS traffic. Three strategies are presented to attack the problem, sequential, nested and integrated optimization. Our evaluation shows that, in comparison to sequential and nested optimization, integrated optimization can significantly improve overall network performance by being able to accommodate approximately 30%-60% more traffic demand.

Multi‐topology routing based egress selection approach to achieve hybrid intra‐AS and inter‐AS traffic engineering

“…However, some attempts have been recently carried out to study this interaction from TE perspective. Ho et al [16] investigated the impact of HPR and proposed an integrated strategy for joint optimization of intra-AS and inter-AS TE. However, this work focused on multi-protocol label switching (MPLS) based intra-AS TE and outbound inter-AS TE.…”