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e-journal

Study of Network Migration to New Technologies Using Agent-Based Modeling Techniques

Tamal Das [et.al.] - Nama Orang;


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.
Keywords
Network economics, Agent-based models, Path computation element, Software defined networking, Local network effects


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Informasi Detail
Judul Seri
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No. Panggil
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Penerbit
: Springer US., 2015
Deskripsi Fisik
J Netw Syst Manage (2015) 23:920–949 DOI 10.1007/s10922-014-9327-3
Bahasa
English
ISBN/ISSN
1573-7705
Klasifikasi
-
Tipe Isi
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Tipe Media
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Tipe Pembawa
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Edisi
-
Subjek
SISTEM MANAJEMEN
JARINGAN
Info Detail Spesifik
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Pernyataan Tanggungjawab
ETY
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  • Study of Network Migration to New Technologies Using Agent-Based Modeling Techniques
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