Analyze candidate routes using policy weights and penalties. Review preference, path, origin, and MED values. Export results, test scenarios, and document routing choices easily.
Compare three candidate paths with a weighted policy model.
This calculator uses a weighted planning score inspired by common interdomain routing priorities.
Policy Score = (Weight × 10) + Local Preference + Relationship Bonus + Origin Bonus + Community Bonus + RPKI Bonus − (AS Path Length × 15) − (MED × 0.10) − (Latency × 0.20)
| Factor | Effect |
|---|---|
| Weight | Raises route preference on a strong local basis. |
| Local Preference | Represents network wide route priority. |
| Relationship Bonus | Rewards customer routes more than peer or provider paths. |
| Origin Bonus | Gives extra value to cleaner origin types. |
| Community Bonus | Lets you reflect internal policy tags. |
| RPKI Bonus | Rewards valid announcements and penalizes invalid ones heavily. |
| AS Path Length | Applies a stronger penalty to longer paths. |
| MED | Adds a lighter exit metric penalty. |
| Latency | Reduces the score when path delay is higher. |
Important: Real BGP selection is vendor specific and step based. This formula is a practical comparison model for planning, design review, and policy discussions.
| Route | Local Pref | Weight | AS Path | MED | Origin | Relationship | Community Bonus | RPKI | Latency |
|---|---|---|---|---|---|---|---|---|---|
| Customer Path A | 220 | 10 | 2 | 20 | IGP | Customer | 25 | Valid | 14 ms |
| Peer Path B | 170 | 5 | 3 | 30 | IGP | Peer | 10 | Unknown | 18 ms |
| Provider Path C | 120 | 0 | 4 | 50 | Incomplete | Provider | 0 | Valid | 22 ms |
A BGP interdomain policy calculator helps engineers compare route choices before deployment. It turns policy ideas into a repeatable score. That makes reviews easier. It also reduces routing surprises. Teams can test how local preference, AS path length, MED, origin, communities, and security signals change route ranking.
Interdomain routing is never based on one metric alone. Operators often prefer customer paths, trusted origins, and valid announcements. They also avoid long paths, weak security, and poor exit metrics. This calculator models those tradeoffs with a transparent formula. It does not replace router logic. It supports design, planning, training, and documentation.
Policy drift can create inconsistent routing decisions across regions. A scoring worksheet gives every engineer the same baseline. You can compare three candidate routes at once. You can also see why one path wins. That is useful during peering reviews, migration work, failover planning, and traffic engineering analysis.
Because BGP policy depends on business goals, the calculator includes relationship bonuses and community adjustments. Customer routes can receive a stronger bonus. Peer routes can stay moderate. Provider routes can stay lower. RPKI state can also change the result. That helps teams give extra trust to valid routes and heavy penalties to invalid ones.
Local preference remains a strong signal in many networks. Weight can model device specific preference. AS path length reflects reachability cost. MED can represent exit hints from neighbors. Origin type adds basic route quality context. Community bonus supports internal policy tags. Latency penalty gives the model a performance check for user experience.
Use this page when you need a fast BGP route comparison tool, an interdomain routing planner, or a policy scoring worksheet. The output is easy to export. That makes it helpful for change records, design notes, and audit trails. Clear route scoring improves review speed and strengthens network operations.
The calculator is especially helpful when documenting routing policy for new peers or upstreams. Instead of debating abstract preferences, teams can compare concrete values. That creates cleaner approvals. It also helps junior engineers learn how multiple attributes influence a final routing outcome.
It compares three candidate routes with a weighted scoring model. The result highlights the route that best matches your preference, path quality, relationship, security, and latency assumptions.
No. It is a planning calculator. Real devices follow step based logic and vendor specific behavior. This page helps you model policy intent before live deployment.
Local preference is often one of the strongest internal route controls. A higher value usually means the network should prefer that path across the AS.
Longer AS paths can suggest less direct reachability. The penalty helps reflect operational preference for shorter and often cleaner paths during route comparison.
It lets the model favor customer routes over peer or provider routes. That mirrors many commercial and traffic engineering policies used in interdomain routing.
Valid announcements receive extra trust. Unknown routes get a smaller benefit. Invalid announcements receive a heavy penalty to reflect stronger security caution.
Yes. It is useful for peering reviews, migration planning, path ranking, and documentation. It gives teams a simple way to compare policy scenarios quickly.
Export the ranked result table after calculation. That file works well for change records, review notes, peer discussions, and policy approval documents.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.