Software-Defined WAN: Application-centric Virtualization and Visibility

Transcription

1 Software-Defined WAN: Application-centric Virtualization and Visibility Dongkyun Kim, KISTI June 23, KRNet2015

2 Introduction Software-Defined WAN SD-WAN Optimization, Virtualization, Visibility, Application/user-centric Approach Conclusion KREONET SD-WAN Plans & Ideas 2

3 WAN (generally): Network for Inter-DCs, Inter-Orgs, Inter-Offices,.. Private (DC to DC,..) vs. Public (SPs, Carriers) Core, Metro, Cellular Access, Wired Access/Aggregation,.. Software-Defined WAN: Softwarization of core, edge/access,.. WAN Optimization (e.g., Google s B4) WAN Virtualization, Automation, etc. (Edge-to-Edge) Virtualization & Visibility, NFV/NFaaS/Cloud,.. SD-WAN SPs and Carriers (Expected) AT&T, Colt, (Google), KT, SKT, LG U+, Internet2, KREONET.. 3

4 Core Network (WAN) Softwarization (SD-Core) Internet, Other Networks, DCs, Service PoPs,.. Edges becoming Intelligent as Distributed DCs (SD-Edge) Chaining & Orchestration A Fabric of Resources Legacy Core vs. SDN Core Reliability, Interoperability,.. SDX for Inter-domain SDN Source: IEEE SDN4FNS Whitepaper, 2014 and D Kim, Presentation from KREONET2014 Workshop 4

5 User Side WAN Optimization: Performance,.. WAN Virtualization and Visibility (Automation): Security, Performance, and User/App-centric Network Usage/Management,.. SP/Carrier Side WAN Optimization and (O&M) Automation: costs,.. Deployment Issues Control Resiliency: Single Logical/Multiple Distributed Control SDN-IP/Internet Interoperability Multi-Layer Controls & Multi-Vendor Supports Other: Security, App/Service Verifications, Monitoring & Management (OSS/BSS, NOC,..) 5

6 75% softwarization by 2020 Ciena, Brocade, Cisco,.. ( ) AT&T Domain 2.0: User-Defined Network Cloud Colt SD-WAN (Multi-layer/vendor, Legacy) Source: AT&T Domain 2.0 Vision White Paper, November 2013 and Colt Presentation from December

7 Scope Improve network performance over WAN connections Faster data replication and synchronization (DC to DC traffic optimization) Maximize the ROI for WAN bandwidth Delay costly bandwidth upgrades Less/same cost for same/more BW Differentiator for end-users BW cost down, performance up,.. Main Functionality Source: Google, A Software-Defined WAN Architecture, 2010 (Logically) Centralized WAN path control/fault-tolerance, link load balancing, O&M Automation, Flexibility,.. 7

8 Google B4: Centralized TE on Private SD-WAN B4 routers built from merchant switch silicon Drive links to 100% utilization Centralized TE Separate hardware from software Three Layers: global, site controller, HW Control Redundancy & Central TE Routing (BGP) Support ebgp with DCs, ibgp with isites Source: Sushant Jain et al., B4: Experience with a Globally-Deployed Software Defined WAN, ACM SIGCOMM Computer Communication Review, vol. 43 issue 4, October

9 Scope Edge-to-Edge Network Virtualization Topology and Control Virtualization Multi-layer Network Controls/Automation (Virtual) Network Service Orchestration NFV/NFaaS, Edge Automation (vcpe, volt),.. Main Functionality (Underlay) WAN Isolation/Separation Dynamic Virtual Network with (Dedicate) BW Allocation E2E Service Composition Interconnection and Orchestration of SD-Edges, Apps, Cloud,.. Control thru Customer Web Portal (GUI)/APIs 9

10 Edge-to-Edge Virtualization w/ Edge Intelligence Migration Org. to Org. Network DC to DC Network (Big) Data Science Network SD-Core SD-Edge#1 SD-Edge#2 SD-Edge#3 vsciz (Distributed DC/Cloud) FedID/ Broker FIDC FedID/ Broker vsciz DC Wireless/ Eduroam CPE CPE ScienceDMZ (Science Cloud) DC CPE ScienceDMZ 10

11 Internet2: Application-centric Approach Internet2 Announces First Full-Production Virtual Internet Network Architecture based on SDN (October, 2014): Application-driven Virtual Networks for Data Intensive Science, National Science Cloud,.. Apps (Genomics,..) GENI Experiments Science DMZ CloudLab/NET+ Source: Eric Boyd, Network Virtualization & the Internet2 Innovation Platform,

12 Layered & Personalized WAN (Topology) Visibility Carrier side vs. User/App side Non-SDN/legacy network nodes, end-hosts,.. Edge-to-Edge Network Monitoring/Analysis thru Open APIs & GUI Basic attributes: traffic usage, available bandwidth, latency, throughput, up/down,.. + various application-specific attributes thru network programmability Whole Physical Network Topology Customized Virtual Network#1 Customized Virtual Network#

13 Legacy switches ODL Topology View MiniNet/ONOS Topology View with non-sdn/legacy switches ONOS (after full topology-tracking) and Packet-Optical Multiple Layer View HyperGlance (3D, commercial) 13

14 Scope Single Logically Centralized Control (from Controller Cluster) Multiple Distributed Controls (Geographically Distributed) Main Functionality HA: Fail-over, Fail-back Scale-out/Scalability High Performance, etc. 14

15 ONOS vs. ODL ONOS ODL Release Blackbird (Mar. 2015) Helium SR3 (Mar. 2015) Clustering 다중분산형 & 중앙집중형다중분산형 & 중앙집중형 Clustering Config. Dynamic & Static Dynamic & Static Leader Election Algo. Data Replication Hazlecast-based (strongly consistent) Hazelcast (gossip protocol) (eventually consistent) Akka-based (eventually consistent) Akka (gossip protocol) (eventually consistent) Source: S Shin and C Yoon, KISTI-KAIST 2 nd Collaboration Meeting,

16 Scope Packet & Optical Unified Controls/Automation Multi-layer Optimization Main Functionality OF-controllable optical network abstraction e.g., OTS plugins (ESNet, Infinera),.. Bandwidth on Demand QoS, capacity, delay,.. Southbound Interface e.g., NETCONF, TL1, PCEP,.. Source: ESnet ( and ONOS WIKI ( 16

17 Scope (Optimized) SDN transit between multiple IP domains SDN to IP communications (and vise versa) Hybrid SDN/IP approach Main Functionality IP (BGP) routes/of flow mapping (e.g., ONOS intents) SDN/IP opt-in (Protected) IP/MPLS/OF routing Security/Performance Source: ONOS WIKI ( and Brocade Presentation Material ( ) 17

18 Scope Scalable & Flexible NFV System Management (Fast) Service Composition Super (Science) Facility vsciencedmz as a Service Cloud-wide Optimization Main Functionality SDN Network Operating, Cloud Operating, Network Virtualization, (Software) Network Functions Source: ONOS WIKI ( and ETSI-NFV ( 18

19 A Carrier-grade Open & Distributed SDN Platform SDN-IP (SDN transit between BGP domains) Packet-Optical (Multi-layer) NFaaS/vCPE/vOLT/vBNG Use Cases Segment Routing, IP RAN, Multicast, etc. Source: ONOS homepage, 19

20 Collaborations Technical collaborations for ONOS deployment Setting up discussion channel for operational experiences Applying various SDN applications on KREONET-S KREONET-S: a tentative name of the KREONET softwarization project for SDN production services Use Cases Operations of multiple distributed controller(s) Multi-layer SDN controls & SDN-IP deployment Virtual dedicate network & User-oriented visibility Virtual Science DMZ: SDN, NFV, Cloud, Security,.. 20

21 KREONET-S Applications & Services VDN ( 동적가상네트워크서비스 ) UoV ( 응용 / 사용자중심망가시화 ) vsciz ( 대용량과학데이터전송 ) KREONET COREEN SDN- IP Multi- Layer NFV/ NFaaS NMS, etc. SD-WAN Technology & NOC KREONET-S Software Infrastructure (Logically-centralized and Distributed Control Platform) A logically-centralized controller#1 A logically-centralized controller#2 A logically-centralized controller#3 KREONET-S Hardware Infrastructure 21

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23 Software-Defined WAN Optimization, Virtualization and Visibility (Automation) Centralized TE, Edge-to-Edge Virtualization, Abstracted Visibility,.. SDN/NFV Service Chaining for Network Cloud Control Resiliency, Inter-operability Distributed Controls, Multi-Layer Controls, SDN-IP/BGP,.. KREONET-S (SDN) Production Services Northbound (Apps & Services): VDN, UoV, vsciz Southbound: OpenFlow, NETCONF, TL1,.. Resilient SDN Operations: Distributed Controls KISTI/KREONET s ONOS Affiliate (in a joint effort with KAIST) Service Composition: KREONET COREEN Platform, etc. 23

24 Questions and/or Comments to 24