Subscriber-aware Dynamic SFC
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1 Subscriber-aware Dynamic SFC Madhu Kashyap Dir. of Product Management Netsia Serkant Uluderya Engineering Mgr. Netsia 1
2 About Netsia Working with Leading Operators in Tandem Collaboration & Partnerships with Ecosystem Active Participation in Industry Standards Forums Presence, Influence, Leadership in & Contribution to Open Forums NETSIA VALUE DRIVERS Innovation Capability Development of Intellectual Property Cutting Edge Solutions Access to Operator Preferences Influence in Open Forums & Standards
3 Mobile Operator challenges Device Proliferation Complex Protocols Service Support High OPEX/ CAPEX Service Monetization Operational Issues Vendor lock-in 3
4 Operator Next Gen Technology Adoption SDN NFV Cloudification White Box & Disaggregation Open Source 4
5 Use Case: S/Gi-LAN in 4G LTE network EPC HSS PCRF enb PDN MME enb Backhaul P-GW S-GW enb UE Mobile Access Mobile Core 5 12/20/18 NETSIA
6 Static SFC drawbacks Today's static Gi-LAN SFC deployments limits the CSPs ability to scale, innovate, and monetize new services. q Topological dependencies q Configuration complexity q Constrained high availability q Traffic selection criteria q Limited end-to-end service visibility q Classification and reclassification per service function 6
7 Netsia - Subscriber-aware Gi-LAN OSS EPC PCRF HSS Netsia Gi-LAN App enb SDN Controller ONOS or ODL MME P4 leaf-spine fabric enb Backhaul P-GW Traffic Classifier Traffic Classifier S-GW UE enb VNFs Mobile Access Mobile Core 7 12/20/18 NETSIA
8 Edge Cloud evolution Router, FW, VOIP, IPS VNFs vcpe vfw IoT IPS OLT DHCP, NAT, VOIP Virtualization Centralization MEC DPI vepc APPS UPF CU Distributed Cloud EPC CPE VNFs DU Edge Cloud Core Cloud 8
9 Dynamic SFC in Virtualized & Disaggregated 5G networks Mobile Services DU DU DU Infrastructure Edge Traffic Classifier Netsia Gi-LAN App SDN Controller P4 leaf-spine fabric Edge Cloud Traffic Classifier ROUTER SP Backbone IPTV VOIP HSI EPC / IoT Residential Services Business Services Mobile Services 9 12/20/18 Access IP / MPLS NETSIA
10 Netsia Dynamic SFC Support of Different NFV & SDN Framework Cloud Native and standardsbased architecture Subscriber Data Integration Multi-SFC Selection Parameters Support Slicing or Services and Service Chains Provides generic interfaces for NFV Orchestrators Pre-integrated with ONAP Works with ONOS or ODL SDN Controllers Provides generic interfaces for NFVI integration Pre-integrated with Kubernetes PCRF integration Radius integration Probing integration IMSI MSISDN, IMEI- Device Type, Location, APN, Slice ID Service Application Type (Video, IM etc.), Protocol (HTTP), Application (Facebook, YouTube, etc.) VNF and PNFs can be Sliced Dedicated internet capacity, VNF/PNF, number of flows capacity SLA controls (RTT, RTO ) for a Slice and Self Healing of SLAs 10
11 Next gen Gi-LAN Current Model New Model Subscriber-aware service chain One size fits all network services Not Virtualized (Hard wired) Static IP routing Dynamic Service Management Support for Edge Cloud applications Based on Cloud, SDN & NFV principles 11
12 Benefits CAPEX & OPEX savings Service Agility & Time-to-Market Operational Efficiency White box HW utilization Rapid introduction of new services Dynamic service chaining per subscriber, service, etc. VNF Service license optimization Quicker Time-to- Revenue Cloud-native architecture for easy scaling No vendor lock-in Subscribercentric service delivery Service automation 12
13 Functional Blocks 13
14 Lab PCRF DSFC Application SDN Controller (ONOS) Internet Mobile Devices Leaf-Spine Fabric Access Network PGW/ GGSN Traffic Classifier (Openflow ) OVS OVS Traffic Classifier (Openflow) Router 14
15 P4 test results Scenarios Ingress (Gbps) Egress (Gbps) Max Packet Latency (µs) Avg Packet Latency (µs) Lasted (s) 01-poc_l3_exact 40 39, ,2 02-poc_l3_ternary 40G 39, ,2 Using ipv4_host table with single exact criterion Using ipv4_host table with ethertype criterion added Test Scenario Maximum Entry Size Test Scenario Maximum Entry Size 01-poc_l3_exact (SRAM) poc_l3_ternary (TCAM) _poc_l3_alg_tcam (SRAM+TCAM) poc_l3_exact (SRAM) poc_l3_ternary (TCCAM) _poc_l3_alg_tcam (SRAM+TCAM)
16 SDN Controllers Test Results Controller Type Total number of flow rules Modify requests per second Controller CPU usage Result ONOS RYU Floodlight 1M 500-ADD 30% OK 1M 500-DEL %55-70 OK 1M 1500-ADD %75-80 OK 1M 1500-DEL % OK 1,2M+ 250-ADD & 250-DEL %45-55 Not stable 1M 500-ADD 45% OK 1M 500-DEL 40% Not responding 1M 1500-ADD 63% OK 1M 500-ADD 23% OK 1M 500-DEL 23% OK 1M 1500-ADD %20-25 OK 1M 1500-DEL %25-30 OK 1M 250-ADD & 250-DEL %15-20 OK 1M 750-ADD & 750-DEL 25% OK 5M 2000-ADD & 2000-DEL 37% OK 16
17 Thank you 17
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