1 / 14

Regional VPLS

Regional VPLS. Vach Kompella Joe Regan Ron Haberman Alcatel-Lucent. Problem: Scaling a VPLS. Flat architecture Too many end-to-end sessions Too much replication Few labels. More on Scaling. Hierarchical VPLS Reduces end-to-end sessions Reduces replication

Download Presentation

Regional VPLS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Regional VPLS Vach Kompella Joe Regan Ron Haberman Alcatel-Lucent

  2. Problem: Scaling a VPLS • Flat architecture • Too many end-to-end sessions • Too much replication • Few labels draft-vkompella-l2vpn-rvpls-00

  3. More on Scaling • Hierarchical VPLS • Reduces end-to-end sessions • Reduces replication • Too many MACs learned at n-PE • More labels draft-vkompella-l2vpn-rvpls-00

  4. More on Scaling • Use MS-PWs • Reduces number of sessions • Keeps MAC address learning to minimum • Too much replication • Many more labels draft-vkompella-l2vpn-rvpls-00

  5. What Have We Learned • Four important dimensions of scaling • Sessions • Replication • MAC address learning • Labels draft-vkompella-l2vpn-rvpls-00

  6. Regional VPLS • Use MS-PW for scaling sessions • Use hierarchy to scale replication • Use hierarchy to reduce labels • Use regional labels to reduce MAC address learning draft-vkompella-l2vpn-rvpls-00

  7. Regional VPLS Model Full-FIB Regional PE Half-FIB draft-vkompella-l2vpn-rvpls-00

  8. New Concepts • Regional PE: a dual nature PE which behaves like an S-PE to the core and nPE to the region • Half-FIB: a FIB of local MAC addresses learned from the region draft-vkompella-l2vpn-rvpls-00

  9. R-VPLS Operation - Forward Flood M2 M1 Learn M1 at PE1 Flood M2 PE1 Learn M1 is Blue PE2 Blue Green RPE1 RPE2 RPE3 Flood M2 M2 Red draft-vkompella-l2vpn-rvpls-00

  10. R-VPLS Operation – Optimized Flooding Flood M2 using Flood PW M1 Learn M1 at PE1 Flood M2 PE1 Learn M1 is Blue PE2 Blue Green RPE1 RPE2 RPE3 Flood M2 M2 Red draft-vkompella-l2vpn-rvpls-00

  11. R-VPLS Operation - Reverse Learn M2 is Green M1 Forward M1 on Blue PW PE1 Forward M1 to PE1 Blue PE2 Green RPE1 RPE2 RPE3 Learn M2 at PE2 M2 Red draft-vkompella-l2vpn-rvpls-00

  12. RVPLS Operation - Unicast Forward to M2 on Green PW M1 PE1 Forward on Green PW PE2 Blue Green RPE1 RPE2 RPE3 Forward M2 to PE2 M2 Red draft-vkompella-l2vpn-rvpls-00

  13. Advantages of R-VPLS • Optimized flooding • Fewer pseudowires • Fewer sessions • Small number of labels • Limited MAC learning at nPEs draft-vkompella-l2vpn-rvpls-00

  14. Next Steps • Auto-discovery • Dual homing of RPEs • Cascaded regions • Quantifying the scaling advantages • Wait for re-charter to ask for consensus as WG draft draft-vkompella-l2vpn-rvpls-00

More Related