TY - GEN
T1 - Relation between Conventional Internet Network and Data Center Interconnection Network
T2 - 58th Hawaii International Conference on System Sciences, HICSS 2025
AU - Kawai, Shingo
AU - Toma, Tetsuya
N1 - Publisher Copyright:
© 2025 IEEE Computer Society. All rights reserved.
PY - 2025
Y1 - 2025
N2 - This paper develops a mathematical model to examine the inter-technology relationship between conventional Internet networks and data center interconnection (DCI) networks. The model is based on principles from mathematical biology. It is constructed by treating the data traffic of both networks as variables, analogous to biological populations, and considering their interpopulation and intrapopulation interactions due to density effects. The model's parameters are estimated from measured data traffic. Due to the relatively low regression accuracy of these parameter estimates, Monte Carlo simulations are performed to account for their variability. The conditions for establishing a long-term equilibrium relationship are then statistically analyzed. We found that the two types of data traffic coexist in equilibrium if the variation in the estimated parameters is within 5% of their absolute values.
AB - This paper develops a mathematical model to examine the inter-technology relationship between conventional Internet networks and data center interconnection (DCI) networks. The model is based on principles from mathematical biology. It is constructed by treating the data traffic of both networks as variables, analogous to biological populations, and considering their interpopulation and intrapopulation interactions due to density effects. The model's parameters are estimated from measured data traffic. Due to the relatively low regression accuracy of these parameter estimates, Monte Carlo simulations are performed to account for their variability. The conditions for establishing a long-term equilibrium relationship are then statistically analyzed. We found that the two types of data traffic coexist in equilibrium if the variation in the estimated parameters is within 5% of their absolute values.
KW - Data center interconnection network
KW - Internet network
KW - Monte Carlo simulation
KW - technology competition
UR - https://www.scopus.com/pages/publications/105005151906
UR - https://www.scopus.com/inward/citedby.url?scp=105005151906&partnerID=8YFLogxK
U2 - 10.24251/hicss.2025.488
DO - 10.24251/hicss.2025.488
M3 - Conference contribution
AN - SCOPUS:105005151906
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 4056
EP - 4065
BT - Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 7 January 2025 through 10 January 2025
ER -