Study of Network Migration to New Technologies Using Agent-Based Modeling Techniques
Authored by Tamal Das, Marek Drogon, Admela Jukan, Marco Hoffmann
Date Published: 2015
DOI: 10.1007/s10922-014-9327-3
Sponsors:
German Federal Ministry of Education and Research (BMBF)
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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 (1) synergistic
relationships across multiple technologies, (2) reduction in operational
expenditures as a reason to migrate, and (3) 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.
Tags
Adoption
diffusion
Social-influence