Study of Network Migration to New Technologies using Agent-based Modeling Techniques

TL;DR

This paper develops an agent-based model to analyze network migration considering multiple factors like technology synergy, OpEx reduction, and local effects, validated through simulations of SDN and PCE migration.

Contribution

It introduces a novel agent-based model that incorporates synergistic technology relationships and local network effects into network migration analysis.

Findings

Migration to SDN is facilitated by joint migration to PCE.

Synergistic effects enhance migration efficiency.

Combined migration yields greater benefits than individual technology adoption.

Abstract

Conventionally, network migration models study competition between emerging and incumbent technologies by considering the resulting increase in revenue and associated cost of migration. We propose to advance the science in the existing network migration models by considering additional critical factors, including (i) synergistic relationships across multiple technologies, (ii) reduction in operational expenditures (OpEx) as a reason to migrate, and, (iii) implications of local network effects on migration decisions. To this end, we propose a novel agent-based migration model considering these factors. Based on the model, we analyze the case study of network migration to two emerging networking paradigms, i.e., IETF Path Computation Element (PCE) and Software-Defined Networking (SDN). We validate our model using extensive simulations. Our results demonstrate the synergistic effects of migration to multiple complementary technologies, and show that a technology migration may be eased by the joint migration to multiple technologies. In particular, we find that migration to SDN can be eased by joint migration to PCE, and that the benefits derived from SDN are best exploited in combination with PCE, than by itself.