GH GambleHub

Inter-circuit traffic balancing

1) Why balance

In multi-chain networks, bottlenecks arise not only in one domain, but also on bundles: bridges, instant messaging, DA publications, sequencers, nodes in the regions. Balancing traffic between circuits equalizes latency, cost, and risk by providing:
  • stable SLOs during load spikes;
  • minimization of commissions/DA-expenses while maintaining finality;
  • fault tolerance (auto-switching to healthy domains);
  • compliance with access policies and regional restrictions.

2) Traffic profiles (what exactly we balance)

Teams with a deadline (Q4): cross-chain calls, final confirmations, risk operations.
Ordered flows (Q3): events with causality by key (user/session/asset).
Exactly-once effectively (Q2): transfers of rights/quotas, billing, snapshots.
Mass events (Q1/Q0): telemetry, indexes, background analytics.

For each class, we determine the requirements for order, idempotency, finality and compliance.


3) Route decision model

The balancer evaluates the utility vector for available circuits/routes:

Utility(route) = wL·Latency_EWMA + wQ·QueueDepth + wC·Cost_per_unit
+ wR·RiskScore + wF·FinalityTime + wA·AvailabilityScore
+ wG·Geo/CompliancePenalty

Latency_EWMA: exponentially smoothed end-to-end delay.
QueueDepth: sequencer/bridge/DA queue.
Cost_per_unit: gas/DA-byte/egress.
RiskScore: integrated risk (incidents, slashing, MEV policy).
FinalityTime: expected finality (taking into account challenge windows).
Geo/CompliancePenalty: Penalty for geo-rule/limit violations.

The route is selected according to the minimum Utility, subject to strict invariants (compliance, order, quotas).


4) Balancing policies

Latency-aware: distribution according to the lowest expected latency when observing the order by the key (consistent hashing + redistribution by hot keys).
Cost-aware: with equal SLO - to the route with the minimum total cost (gas + DA + bridge).
Risk-aware: Avoid high-risk domains (recent incidents/anomalies).
Capacity-aware: counting quotas and red lines for each domain/bridge/DA.
Geo/Policy-aware-Only routing to allowed domains (Compliance Gate).

Sticky per key: pinning the stream by key for Q3; switching only during degradation and with safe "drainage."


5) Algorithms and mechanics

Consistent Hashing + Hot-Shard Relief: Foundation of Order; "hot" keys are temporarily smeared through sub-keys/sharding with a deterministic re-key.
EWMA/Percentile-routing: p95 solution; protection against false "peonies" by p50.
Leaky/Bucket route quotas: QoS class tokens, emergency stop cranes.
Circuit Breakers: per-route trip, fast failover, gradual half-open.
Outbox/Inbox Exactly-Once: idempotence at the ends, dedup by 'x _ msg _ id'.
Ordered MPSC: ordering by key within the selected route; with failover - "freezing" and transfer with a replay barrier.
PID controller: retention of target p95 and queue depth, auto-tuning of share distribution.


6) Warranties and invariants

Order - Stored by reason key (user/session/asset). For Q3 - strict; for Q4 - strict + deadlines.
Idempotency: mandatory for Q1-Q4; processing key + seen-table with TTL.
Finality: Decisions take into account the finality time of the domain and the challenge window of the bridge.
Security: signatures, state proofs, anti-replays (nonce/TTL).
Tariff consistency: Arbitration is unacceptable due to price/limit desynchrony.


7) Integration with bridges, DA and messaging

Bridge Fabric: choice of rereleur/bridge by risk/cost/finality; collateral S and R-reputation history.
DA layer: routing publications by price/speed; separate queues and quotas.
Messaging Hub: dedup/confirmation, TTL, routing taking into account the policy of RNFT rights.
Sequencer Pools: allocation to honest sequencers; protection against MEV through private queues.


8) Economics and incentives

Cross rates: prices adjust to the load (surge) in the koridore治理.
Quality bonus: Domains with sustained SLO get less take-rate/more volume.
Penalties: for SLA breaks - share reduction/S-pledge slashing; for false confirmations - hard slash.
RNFT quotas: personal rights/route limits for affiliates, providers, validators.


9) Compliance and geo-rules

Geo-filters: domain whitelists by region, age/sanction policies.
ZK-omissions: proof of compliance without personal data disclosure.
Tax deductions: automatic on the route (Compliance Gate).
Fail-closed: when the status is unclear, blocking, not permission.


10) Observability and alerts

End-to-end tracing: 'x _ msg _ id', bridge stage, DA publishing, finality.
Metrics along the route: p50/p95/p99, drop/timeout/retry, duplicate ratio, queue depth, finality lag, cost/req.
Domain health: heartbeat, error budgets, security incidents.
Дашборды: Cross-Chain Latency, Bridge Risk, DA Throughput, Route Surge, Finality Heatmap.


11) Incidents and degradation

1. Detect: surge p95/timeouts/bridge errors/rise finality lag.
2. Isolation: trip circuit → reroute; reduction of quotas, inclusion of "hard" limits.
3. Compensation: payments from the insurance pool under RNFT conditions.
4. Post-mortem: causes, adjustment of weights/corridors/penalties, update of risk signatures.


12) Implementation playbook

1. Flow mapping: causality keys, QoS classes, compliance requirements.
2. Telemetry collection: latency, finality, cost, risks by domain/bridge/DA.
3. Policy design: Utility function, weights/corridors, quotas and stopcocks.
4. Warranty contours: outbox/inbox, dedup, ordinal barriers, feature-flags for failover.
5. Integration: Messaging Hub, Bridge Fabric, DA-Publisher, Compliance Gate.
6. Observability: trace, metrics, alerts, DLQ/Replay.
7. Game-days: simulating domain drop/cost rise/finality delay.
8. 治理: process of changing weights/prices/limits (proposals, sunset edits).


13) Balancing KPI

Delivery: success ≥ 99. 9% (Q3), ≥ 99. 99% (Q4); violation of the ≤ 10⁻⁶/soobshcheniye order.
Delay: p95 end-to-end ≤ target threshold by class; TailAmplification (p99/p50) in the corridor.
Finality: median finality ≤ target values ​ ​ for the route; orphan/reorg rate is normal.
Economy: Cost/Req ↓ while maintaining SLO; "surge" is not higher than koridora治理.
Resilience: MTTR incident ≤ target; frequency of switching (flap) under control.
Compliance: 100% pass geo/age/sanctions checks; zero policy violations.


14) Delivery checklist

  • Causality keys and QoS classes defined
  • Implemented consistent hashing, ordered MPSC and secure failover
  • Included outbox/inbox, idempotency and dedup by 'x _ msg _ id'
  • Per-route and circuit breakers quotas/limits configured
  • Integrated Bridge Fabric, DA-Publisher, Compliance Gate
  • latency/finality/cost/risk dashboards and alerts are available
  • Game-days worked out (domain/bridge drop/DA)
  • Oformleny治理 - procedures for changing weights/prices/limits (with sunset)

15) Glossary

Finality: guaranteed irreversibility of the transaction/event.
Bridge Fabric: layer of relays/bridges with provable confirmations.
DA (Data Availability) -Publish/store data for rollup/domains.
Consistent Hashing: deterministic distribution of keys along routes.
Circuit Breaker: automatic shutdown of a degraded route.
Utility-routing: route selection by aggregated utility (delay/cost/risk/finality/compliance).


Bottom line: traffic balancing between circuits is the management of trade-offs between delay, cost, risk, and finality under rigid order and compliance invariants. Standardized policies, telemetry i治理 turn a multi-chain network into an adaptive system that can withstand bursts, incidents and price shocks without losing trust and SLO.

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