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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 148 |
| Published: October 2026 |
| Authors: Mike Adedoyin |
10.5120/ijcaa6a87958dd57
|
Mike Adedoyin . Quantifying Failover Interruption and Service Availability in Service Provider Networks: A Parameterized NS-3 Simulation Study. International Journal of Computer Applications. 187, 148 (October 2026), 1-7. DOI=10.5120/ijcaa6a87958dd57
@article{ 10.5120/ijcaa6a87958dd57,
author = { Mike Adedoyin },
title = { Quantifying Failover Interruption and Service Availability in Service Provider Networks: A Parameterized NS-3 Simulation Study },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 148 },
pages = { 1-7 },
doi = { 10.5120/ijcaa6a87958dd57 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Mike Adedoyin
%T Quantifying Failover Interruption and Service Availability in Service Provider Networks: A Parameterized NS-3 Simulation Study%T
%J International Journal of Computer Applications
%V 187
%N 148
%P 1-7
%R 10.5120/ijcaa6a87958dd57
%I Foundation of Computer Science (FCS), NY, USA
Border Gateway Protocol (BGP) convergence time is a primary determinant of service availability in service provider (SP) networks following link or routing-session failures. Slow convergence introduces transient traffic blackholes that degrade throughput and violate service-level agreements (SLAs). This paper presents a reproducible NS-3 v3.43 simulation study that models BGP-like failover behavior through event-driven routing-table updates parameterized by hold-timer, MRAI, and BFD assumptions informed by RFC timer guidance and explicitly selected propagation and FIB assumptions. All convergence times are explicit design inputs; NS-3 FlowMonitor measures the resulting packet loss and throughput. Four scenarios are evaluated on a dual-homed six-node SP topology: stable routing, default-timer failover, fast-timer failover with BFD, and BFD-triggered fast failover. The model maps assumed blackhole-window durations to packet loss and MTBF/MTTR availability under controlled NS-3 forwarding conditions. Default-timer failover (Tconv = 182.3 s, midpoint hold-timer detection with worst-case MRAI delay) yields 30.5% packet loss and 2.74 nines of availability. Tuned timers with BFD achieve 1.04% loss and 4.21 nines; BFD-triggered fast failover achieves 0.047% loss and 5.55 nines. A sensitivity analysis across four illustrative MTBF assumptions shows that S4 improves from 5.55 to 8.05 nines as MTBF increases from 27.8 hours to one year, while S2 reaches only 5.24 nines at the same annual MTBF. Analytical MRAI and BFD interval sweeps further show that MRAI reduction is the primary optimization lever in BFD-enabled deployments, with the optimum MRAI in the 2–5 s range where marginal availability gains diminish relative to the increase in UPDATE message rates.