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An evolutionary approach to G-MPLS ensuring a smooth migration of legacy networks Ben Martens Alcatel USA.

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Presentation on theme: "An evolutionary approach to G-MPLS ensuring a smooth migration of legacy networks Ben Martens Alcatel USA."— Presentation transcript:

1 An evolutionary approach to G-MPLS ensuring a smooth migration of legacy networks Ben Martens Alcatel USA

2 Core Network Evolution Traditional Core Networks Layer 0 Layer 1 TDM transport SONET/SDH Digital ADM and DCS Layer 2 Layer 3 Voice exchange ATM switch ATM switch FR switch ATM switch IP router DWDM terminal multiplexers SML VoiceVPNIPATM Leased Lines NML EML SML NML: Network Management LayerSML: Service Management Layer EML: Element Management Layer Variety of Networks (TDM, ATM, FR, IP) OTN Management IP Management ATM Management SDH/SONET Management

3 Fragmented Network Management Integrated Cross Technology Network Management Cumbersome Service Provisioning Intelligent Optical Networking Complex Transmission Layer All Optical Transport Network Low / Medium Capacity Nodes Network Consolidation through Scalable Terabit Nodes Layer 2 Layer 3 Variety of Networks (TDM, ATM, FR, IP) Core Network Evolution Vision of the New Millennium Layer 0 Layer 1 TDM transport SONET/SDH Digital ADM and DCS DWDM Terminal Multiplexers VPN Leased Lines Voice exchange ATM switch FR switch ATM switch IP router Service Layer Service Convergence on Enhanced IP layer Transport Layer Service Sublayer Transport Sublayer Optical cross connects Optical add drop multiplexers DWDM terminal multiplexers TDM transport NML EML SML Voice IP Leased Lines IP router DiffServ MPLS ATM IP FR Voice ATM switch

4 setup request GMPLS or O-UNI IP TE Optical Internetworking OXC with embedded ‘ routers’ Intelligent Optical Networking A New Networking Paradigm  Traditional Provisioning IP network using MPLS-TE Optical circuits controlled by TMN no co-ordination between IP and Optical domain  Intelligent Optical Networking Evolution of transmission networks in a way that is beneficial to the creation and provisioning of services Automatically controlled transport networks New role for transport management Distributed connection control model SONET Protection DWDM ADM DWDM Mux/Demux OADM

5 GMPLS Control Plane Untrusted interfaces ISP 1 ISP 2 ISP 3 O-UNI Client LSR signals for an explicit optical path using GMPLS signalling Or client LSR signals connectivity requirements using O-UNI Setup of optical path MPLS TE-LSP runs over optical path

6 GMPLS models Operator 1 Operator 2 Operator 3 UNI Peer (Integrated) Single routing domain for all routers and optical cross-connects Single operator owning IP and Optical network Overlay No topology information has to be shared between domains Optical network can serve multiple client networks Hybrid Combining Overlay and Peer IP/Optical operator can also provide wholesale services UNI

7 Evolution approach to Intelligent Optical Networking  Short term: centralized implementation of an automatically controlled transport network Centralized provisioning (TMN) Add UNI interface to the management system in the optical network (indirect signaling interface) Start on a boundary router or management system in the client domain e.g., out-of-fiber / out-of-band UNI Allows clients to query the server to set up light-paths The server performs CAC, calculates & establishes the light-path.  Present architecture features... No direct signaling interface between routers and OXCs applicable to non-GMPLS enabled networks Aids in implementing complex capacity optimization schemes The near-term provisioning solution in optical networks with interconnected multi-vendor optical sub-networks.

8 OIF UNI  Focussing on traffic engineering Use of service management system to handle service level agreements between client and Transmission Use of OIF UNI - lightpath create/delete/query/...  Dynamic connectivity driven by IP traffic patterns Dynamic path set-up process Optical as well as SDH/SONET transport Transport Management IP Service Management - TE Tool - Centralized Management Approach Any Transport network Other client’s applications

9  Allows the Operator to sell “bandwidth on demand” services to client ISPs and be Carriers’ Carrier Set-up of flexible and guaranteed optical services: any-time (only when and for the time needed) @any-point (supporting flexible topologies) @any-type (with different flavors in terms of bandwidth, protection, …) with a guaranteed O-SLA bandwidth on demand services guaranteed according to an SLA that can be easily demonstrated with specific constraints (e.g., verification against O-VPN contract) Signaled from client  Ease inter-operability using the OIF UNI standard Protocol across different vendors of Transport Networks IP, ATM Clients and the Transport Network.  No impact on network elements New role for Transport Management

10 The intelligent optical network Transport Management IP Service Management OXCs with embedded GMPLS controller OIF UNI OIF UNI  Focussing on lambda processing Optical Crossconnect as key component of the core  CrossConnect fully GMPLS enabled GMPLS Control Plane Link Management Protocol Capable to support peer and/or overlay model  Role of Transport Management No longer involved with setting up individual connections Deals with SLAs Can be used to support transport VPNs (lambda service)

11 7770 RCP O-UNI GMPLS proxy GMPLS / Non-GMPLS Inter-Networking OIF UNI Transport Management IP Service Management Non-GMPLS subnet GMPLS subnet OIF UNI  Focussing on Interworking Transport domain manager covers lambda provisioning, protection & restoration capabilities in non- GMPLS networks  Keep todays value-added services Add network migration procedures  Role of Transport Management Not only network management but source of network intelligence

12  Core network evolution calls for Next generation high capacity core routers Intelligent Optical Networking  Maximizing profitability drives the need for Fast service deployment Service differentiation Reduced OPEX  OIF and GMPLS concepts applicable to current generation core networks  Installed base calls for evolution strategy Conclusion


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