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WAN Path Comparison — MPLS vs Internet vs 5G

The campus main site uses three WAN paths simultaneously in an SD-WAN active-active-backup topology. This page compares IS behaviour across all three paths, individually and in combination, and defines which AI traffic takes which path.

Path characteristics

WAN path Type Capacity A factor SLA Primary use
MPLS 10G Dedicated circuit 10 Gbps CIR 0.92 Yes — provider guarantee Primary cloud AI path
Internet 5G ISP Broadband 5 Gbps 0.72 No — best effort Active-active secondary
5G Cellular Wireless modem 300–600 Mbps 0.60 No — wireless Emergency tertiary

IS comparison: all three paths, before and after MCP tiering

Cloud-bound parameters (post-MCP, Tier ½ only): U_eff = 370, AIW = 2.0, CS = 2.0, LL = 2.0. Numerator = 2,960.

Path B (Mbps) A IS (all-cloud 89,910 numerator) IS (post-MCP 2,960 numerator) Status
MPLS 10G 10,000 0.92 9.77 0.32 Blocker → Optimal
Internet 5G ISP 5,000 0.72 24.9 0.82 Blocker → Optimal
5G Cellular 500 0.60 4.93* Emergency only
MPLS + Internet (SD-WAN) 15,000 0.85 7.06 0.23 Blocker → Optimal
All three (aggregate) 15,500 0.87 6.67 0.22 Blocker → Optimal

* 5G IS calculated with 50% agents active and MCP tiered AIW.

All three paths fail without MCP tiering

Every WAN path — including the 10G MPLS — fails (IS > 3) if all AI inference is routed to cloud. This is a workload placement problem, not a bandwidth problem. Buying more WAN capacity does not solve it.


Failover IS matrix

This table confirms the 99.9% availability design is sound. Each failover scenario must maintain IS < 3 for AI services to continue.

Scenario Active paths Effective B A IS (post-MCP) AI service
Normal (all paths up) MPLS + Internet 15,000 Mbps 0.85 0.23 Full
MPLS fails Internet only 5,000 Mbps 0.72 0.82 Full
Internet fails MPLS only 10,000 Mbps 0.92 0.32 Full
Both MPLS + Internet fail 5G cellular only 500 Mbps 0.60 4.93 Degraded
5G cellular + Internet Backup + secondary 5,500 Mbps 0.73 0.74 Full

Conclusion: Cloud AI service is fully maintained (IS < 1) if either MPLS or internet survives. Only the extreme edge case (both MPLS and internet fail simultaneously) pushes IS above 3 on the 5G backup. In that scenario, critical AI (fraud detection, agent assist) continues from the in-house DC — unaffected by WAN status.


QoS traffic steering across WAN paths

In an SD-WAN design, traffic is steered across paths by DSCP marking and SLA policy. Define steering rules before AI goes live.

AI workload DSCP Tier Primary WAN Failover WAN Why
Fraud detection EF (46) Tier 4 DC No WAN — in-house No WAN LL=5, zero WAN
Agent assist + STT CS5 (40) Tier 3 campus No WAN — campus GPU No WAN LL=4, campus edge
RAG knowledge base CS4 (32) Tier 2 regional MPLS (lowest lat) Internet LL=3, 80ms
Sentiment analytics CS3 (24) Tier 2 / Tier 1 MPLS or Internet Internet or 5G LL=2
Report generation CS2 (16) Tier 1 cloud Internet (cheaper) MPLS LL=1, batch
Model sync CS1 (8) Any MPLS off-peak only Internet off-peak Scheduled
Background BE (0) N/A Any Any Unclassified

55% of AI traffic never touches the WAN

Tier 3 (campus edge AI) handles STT + LLM + agent assist = 41% of traffic. Tier 4 (in-house DC) handles fraud detection = 14% of traffic. Combined, 55% of all AI traffic is local. Only the remaining 45% (Tier ½) crosses any WAN path.


SD-WAN path SLA configuration

Define SLA thresholds for each path so SD-WAN automatically reroutes when quality degrades:

MPLS primary SLA thresholds:
  Latency:   < 30ms  (trigger reroute if > 30ms)
  Jitter:    < 5ms   (trigger reroute if > 5ms)
  Packet loss: < 0.1%

Internet secondary SLA thresholds:
  Latency:   < 80ms  (trigger reroute if > 80ms)
  Jitter:    < 20ms
  Packet loss: < 0.5%

5G cellular (tertiary):
  Trigger:   Both MPLS and Internet fail SLA simultaneously
  No latency SLA — emergency path only

MPLS vs Internet: IS sensitivity to path degradation

In practice, path quality degrades before it fails. This section shows IS sensitivity to A factor reduction — simulating congestion or SLA degradation.

MPLS path degradation (post-MCP, numerator = 2,960):
A = 0.92 (normal):        IS = 2,960 / (10,000 × 0.92) = 0.32  ← Optimal
A = 0.80 (light congest): IS = 2,960 / (10,000 × 0.80) = 0.37  ← Optimal
A = 0.65 (heavy congest): IS = 2,960 / (10,000 × 0.65) = 0.46  ← Optimal
A = 0.50 (severe):        IS = 2,960 / (10,000 × 0.50) = 0.59  ← Optimal

MPLS can degrade significantly and still maintain IS < 1 post-MCP tiering.
Internet path degradation (post-MCP):
A = 0.72 (normal):        IS = 2,960 / (5,000 × 0.72) = 0.82   ← Optimal
A = 0.60 (congested):     IS = 2,960 / (5,000 × 0.60) = 0.99   ← Optimal (barely)
A = 0.50 (heavy congest): IS = 2,960 / (5,000 × 0.50) = 1.18   ← Monitor
A = 0.40 (severe):        IS = 2,960 / (5,000 × 0.40) = 1.48   ← Monitor

Internet degrades more quickly but stays below IS = 3 until severely congested.
If IS > 1.5 on internet, SD-WAN should automatically shift CS4 traffic to MPLS.

When to upgrade WAN bandwidth

The post-MCP IS values are well within optimal for both MPLS and internet paths. WAN bandwidth upgrade is not required in the current design. Trigger a bandwidth review when:

  • IS on any single WAN path exceeds 2.0 during normal operation (not failover)
  • U_eff grows by more than 50% due to AI expansion
  • New LL = 3 workloads are added to cloud paths (increasing WAN AIW)
  • Model sync frequency increases to daily (adds sustained WAN load)
Bandwidth review trigger formula:
B_current ≥ (U_eff_new × AIW_new × CS_cloud × LL_cloud) / (2.0 × A)

If B_current is less than this value, initiate WAN upgrade process.