KING Research Project Towards Carrier-Grade Next Generation Networks

1. KING Research ProjectTowards Carrier-Grade Next Generation Networks

2. IP will dominate the Next Generation Network New Services Unified Network Layer IP Peer to peer Interact. video comm. Call Center E-commerce Web cache VoIP VPN Traffic Growth Intra-/Extranets Internet Access Speed IP ATM SDH GSM Infrastructure WDM TDM IP forms the foundation for the convergent services which users will be requesting in the future A Siemens projectsupported by BMBF

3. access network accessnetwork IP core network Carrier class : • Quality of Service • Highly resilient • Secure • Low operational cost The variety of convergent services will be based on carrier-class IP core networks convergent services from best effort to broadband, real-time, interactive A Siemens projectsupported by BMBF

4. Network Control Server NAC NAC stateless core KING Research ProjectFuture IP platform for Next Generation Networks The goal of the research project KING* is to establish a comprehensive carrierclass solution that complies with the three major requirements • Quality of Service • Network Reliability • Efficient Network Management • KING started in October 2001 with term of 3 years • KING is carried out by Siemens AG jointly with 2 research institutes and 5 universities • KING is partially funded by the German Ministry of Education and Research (BMBF) * Key Components for the Internet of Next Generation KING Partners A Siemens projectsupported by BMBF

5. state table admission control Efficient Quality of Service requiresKnowledge and Control of Resources QoS and Network Reliability Efficient NetworkManagement connection oriented resource reservation Connection oriented approaches, e.g ATM and MPLS, require per connection state information for all network links along the connection path A Siemens projectsupported by BMBF

6. state table admission control Fault Recovery requiresComplex Restoration of States QoS and Network Reliability Efficient NetworkManagement connection oriented resource reservation Recovery speed in case of failure is limited by the necessary update of connection state information by network control A Siemens projectsupported by BMBF

7. NAC state table admission control KING: Stateless Core and Admission Control at Borders only QoS and Network Reliability Efficient NetworkManagement NAC stateless core with local failure reaction Benefit from both worlds: Fast Fault Reaction and QoS NAC Network Admission Control A Siemens projectsupported by BMBF

8. Network Admission Control • check local budgets at ingress and egress • no other instances involved in admission decision • NAC may operate on aggregates • flows can take different paths inside the network • QoS and resilience requirements are combined • highest QoS class will have best resilience • resilience supported by strict priority queueing/scheduling • NAC budgets include reserves for resilience A Siemens projectsupported by BMBF

9. NAC NAC state table admission control Multipath Routing for Fast Switchover and Load Distribution QoS and Network Reliability Efficient NetworkManagement Local, autonomous forwarding decision between multiple paths stateless core with local failure reaction • Further characteristics: • Diffserv-like class based forwarding • Fast failure detection NAC Network Admission Control A Siemens projectsupported by BMBF

10. Alive Messages Fast Failure Detectionand Fast Failure Reaction • Carrier grade resilience requires fast failure detection/reaction • restoration time <= 300 ms • To avoid instabilities failure detection/reaction has to be local and independent from the routing process • failure detection is based on frequent Alive Messages, i.e. in the 10’s of ms range • failure reaction is to locally remove unusable links from the distribution fan and forward traffic on the remaining links • Layer 3 failure detection/reaction can work with any underlying switching and data link layer technologies A Siemens projectsupported by BMBF

11. NAC NAC rules, parameters statistics, network reports Efficient Network Operation by Network Control Server QoS and Network Reliability Efficient NetworkManagement Network Management Automatic Adaptive Autonomous Network Control Server non real-time environment real-time environment e.g. NAC budgets & traffic distribution stateless core with local failure reaction NAC Network Admission Control A Siemens projectsupported by BMBF

12. Network Control Server Observation of network state Recognition of unwanted network states Reaction to unwanted network states

13. KING is part of Siemens´ Innovations for Next Generation Networks • KING concepts are being validated by: • Theoretical analysis • Implementation of prototypes and protocols • Trials in the lab and in the field • Concepts and solutions arising from the project will influence development of future products of Siemens KING concepts support a high QoS/high resilience backbone solution for IP based Next Generation Network Solutions as offered with SURPASS A Siemens projectsupported by BMBF

14. Thanks for your attention!