Future Internet Cluster Scenario C

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1 Panel on MANA Future Internet Scenarios, FIA Prague Conference, 12 th May 2009 Managing the Future Internet Benefits for Key Actors (Business Perspective) Future Internet Cluster Scenario C Syed Naqvi (CETIC) Giorgio Nunzi (NEC Europe) Frank-Uwe Andersen (Nokia-Siemens Networks) Ranganai Chaparadza (Fraunhofer Fokus)

2 Outline Introduction FI Cluster Scenario C Key Challenges & Business Perspectives Summary

3 Motivations Broader impact of the technological innovation Maximum outreach Involved in the everyday lives of the citizens Benefits for key actors are derived from the enhanced consumers base Winning the customer confidence through reliable solutions Guarantying high usability and low integration effort Operator s benefits are the scenario s focal point How management operations can be supported in a more efficient manner (e.g. automated processes) Which capabilities are not currently supported, but can be supported in the Future Internet

4 Context Common vision across our projects: complexity in operating networks and Network operators User Service Providers new business opportunities! Future Internet as platform: Virtual Operators Emerging trends Service Providers Phone Manufactures to support emerging value creation environments (see also Scenario D) and keep cost efficiency Service providers Google User generated content Media servers Third-party content Emergency services

5 FI Cluster Scenario C Players A global connection provider across Europe A service provider bundling connectivity and community-like services People and their friends + communities located in different parts all over Europe Key drivers Existence and harmonization of different players Dynamic instantiation of services Integration of pervasive wireless access for home and business networking New markets: communities around common interests Automatic access to end-use equipment and different access technologies

6 Ralf s phone (Berlin) FEMTO FEMTO John s phone (Covent Garden) Sophie s phone (Paris) FEMTO FEMTO Santiago s phone (Sevilla)

7 Key Challenges & Business Perspectives (1/2) Technological challenges Self-organized wireless femtocell administration and management. Decentralized, highly-scalable network management system Abstraction of the operations in the underlying infrastructure Quality of Service guarantees for the bundled services. Management of complex services (e.g. multiparty teleconference) Business perspectives Facilitating new and improved services with reduced operational costs. Off-loading of operator s OAM/ NM system New levels of autonomy Enhanced competitiveness of businesses Cost-effectiveness Optimized use of system and network resources Simplified service administration

8 Key Challenges & Business Perspectives (2/2) Technological challenges Business perspectives Interfaces to translate business goals into network-level objectives Generic design principles required for an evolvable Generic Autonomic Network Architecture (GANA) Guaranteed performance and robustness of the network Reduced operational expenditures Fast time-to-market for service delivery Acceptable and realistic capital expenditure

9 The Femtocell Setting Centralized Management and Gateway (state of the art) Distributed, In-Network- Management (Not shown: Area also covered by one or more macro cells) DSL, Backhaul e.g. TR69 and related procedures: How much management functionality can be moved towards the nodes? Femto Home network coverage Building Femto Nodes Users

10 Summary Future Internet (FI) is beneficial for its key actors! Business perspectives of the FI technologies circle around operators and service providers FI technologies can enable businesses to enhance their customer base by providing them with a cost effective, broad range of services A number of technological challenges need to be addressed to realize the realm of FI applications Focus on the definition of the expected behavior of the network Self-management features within the network for a distributed architecture Dedicated functions for resilience and quick reconfiguration inside the network Automated re-allocation of resources according to varying conditions

11 Thank you

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