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Telecom Trends
  Sharon Rozov
   CTO Team

    Nov. 2012
The New Telecom


                Applications




                                   Devices/
Big Data
                                   Machines




      Network                  Cloud
Applications

Automating our lives; Streamlining our daily routines




     Video     Augmented      Location
    Delivery     Reality                   Smell over IP
                              services

                                Social            3D
  Messaging    Conferencing
                              Networking        Printing
Devices/Machines

    A bridge between the tangible and virtual worlds
 The vision: 50 Billion connected devices in 2020

 Any tangible device (refrigerator, washing machine, car, etc.)
 Sensors/Actuators: installed, implanted (animals), wearable (humans)
 The mobile phone as a hub for sensors

 RFID
Big Data

                  Devices + Data = Applications

 Everything we do generates data
    2.5 quintillion (2.5*10^18) bytes of data are created daily
    The amount of data in the world doubles every 18 months
     Example data generators: social networks, internet search indexes, call
      detail records, astronomy, atmosphere, genomics, military
      surveillance, medical records, photography archives, e-commerce
 BIG DATA challenges
    Volume, Velocity, Variety, and Veracity
 Types of data
    Usage data
    Volunteered data
 Data processing
    Mining, analytics – find patterns in data
    Semantics – decode ‘meaning’ of data
Cloud

                     The Cloud makes applications global
 The Cloud enables allocation of compute and storage resources on-demand
 Follow-me cloud: global access, multi access, multi device
 The Cloud runs
    Applications
    Data mining/analytics/semantics
    Network functionality
    Compute/storage offloaded from end-devices
Centralization




                     Centralized Cloud:              Distributed Cloud / Fog
                                                             Computing:
                      - Global Service
                                                           - Low-latency
                 - Large capacity, elasticity          applications/content




                                                                                  Distribution
                   - Ultimate utilization of      - Saves networking resources
                          resources
                                                          - Opportunistic
                                                  computing, based on available
                                                   capabilities of devices/CPEs

                                      flexible apportioning
Network

                      Content Centric Networking

 Move the focus from network nodes to:
     Delivery of content objects
     Delivery of messages to/from devices (Publish-Subscribe)

 The changing relationship between network and services




  The network establishes                                 network resources
  connectivity, applications   Service-aware traffic      as building blocks
          running                    steering            that can be used to
       Over The Top                                    ‘program’ new services
The Internet of Things (IoT),
              the Internet of Everything (IoE)

                   Building a networked society

 ‘Things’ will be seamlessly integrated into the information network
 ‘Things’ are expected to become active participants in
  business, information and social processes
 Things’ reacting autonomously to ‘real/physical world’ events and
  influencing it by triggering actions with or without human intervention
                                                        Logical entities:
                                                      Persona, Community,
                                                            Things


   Streamline everyday tasks, processes                    Context:
   Automate decision making                         Ownership, Authorization
                                                           , Location
   Tackling life inefficiencies
   Access to covert information
   Better recommendation engines                       Physical entities:
                                                     Human, Machine/Device
                                                            /Object
Network evolution towards
                  the ‘New Telecom’

          Major directions in Telecom Networks

 Intelligence is moving to the cloud

 Complexity is moving to the edge

 Networks are flattening – from hierarchy to mesh
  architecture

 Network architecture convergence

 Networks automation, flexibility
Wireless takes it all

        Wireless in the frontend, wireline in the backend
 In 2016 wired devices will account for 39% of IP traffic, while Wi-Fi for 51% of IP
  traffic and mobile devices for 10% of IP traffic (source: Cisco VNI, May 2012)
 LTE (Long Term Evolution) (3.9G)
     As of Nov 2012, LTE is deployed in 117 networks in 54 countries, with 323
        operator commitments (source: 4G Americas, Nov 2012)
     More than 40M subscribers today, projection for 1B LTE subscribers by 2017
        (source: Informa Telecoms, June 2012)
 LTE-A (4G) : expected to be commercially available in 2013, with wider
  deployments by 2015
 WiFi WiFi WiFi (self deployed, operator deployed, managed WiFi)
 TV White Space – for rural broadband
 Beyond LTE-A (LTE-B, 5G) – Standardization (3GPP release 12 is underway)
 Personal Area Networks
     ZigBee, Bluetooth

 The LTE packet core architecture (EPC) is designed to support both fixed and
  mobile access networks and become a common converged core
Heterogeneous Networks (Hetnets)

  Macro Cell for coverage, Small Cell for capacity

 Higher data rates and increased capacity require denser
  infrastructure
 User distribution and traffic density are often non-uniform 
  deploy an heterogeneous network (hetnet): hotspot cells in
  traffic hotspots

 Hetnet complexities:
    cell density
    interference management
    user-deployed cells
 handled through automation: Self Organizing Networks (SON)
Content is pushed to the Edge



 The popularity of content-rich applications and availability of
  smart compute-extensive devices, drive content and
  applications to the edge
 Storage/caching pushed into network nodes, as close as
  possible to end-users; network steering to retrieve content
     In the future – smart terminals will become part of an
      opportunistic cloud
 trade-offs between storage/computing/communication
     Currently for optimization of overloaded networks,
      performance and QoE guarantee
     In the future – optimization of energy consumption
Networks are flattening

                Hierarchy is breaking down

 Network flattening is achieved through removal of aggregation
  points
 The network is simplified to include two types of connections
    Access to cloud centers (centralized or distributed)
    Inter-connectivity between cloud centers
 Ultimately the network will become a symmetric mesh
 Each entity connected to the network (device/machine/cloud)
  can be a content client or a content server
Mesh Architectures

   Breaking down network’s hierarchical architecture

 Cloud Federation
    Connect between distributed cloud centers to enable access to
     content
 Mesh connectivity between base stations
    LTE/LTE-A introduces new spectrum efficiency mechanisms
     (e.g., COMP) that involve coordination between base stations.
     This calls for mesh connectivity (over x2 interface) between e-
     NodeBs

 Device to device (D2D) Communication
    Beyond-LTE standards will probably enable device-to-device
     communications
    Useful in scenarios like content sharing with friends in the close
     proximity, cognitive cars exchanging road information
Network Virtualization:
            the network wanders to the cloud

                        IT-Telecom Convergence
   Network Function Virtualization (NFV) – virtualization of network functions and services
      Motivation: run network functionality over off-the-shelf standard IT infrastructure
      leveraging standard IT virtualization technology to consolidate many network
        equipment types onto industry standard high volume servers, switches and
        storage
      applicable to any data plane packet processing and control plane function in fixed
        and mobile network infrastructures

   Software Defined Networking (SDN) – separation of Network node Control and Data
    planes, with an open interface (e.g., OpenFlow) between them
      Motivation: network programmability - turn network resources into building blocks
        that can be used to ‘program’ new services
      Intelligence is moved to the cloud, network is simplified and can handle capacity
        growth and scale
      Control plane is implemented in software and running in the cloud
      Network nodes specialize in efficient ‘forwarding’ (data plane), will be
        commoditized and become cheaper
Content/application aware networking

            The network receives new roles

 A ‘connectivity’ network will always be there

 The ‘delivery’ network
    Optimized content delivery per user/application
     requests
    Message Clearing house (Publish Subscribe)
    Service Orchestration – mashup applications and
     data originated in various verticals
Telco Operator role

          Telcos will be reinventing themselves

 Choose your role!
    Up the value chain or down the value chain


                             • Bit carrier
      Connectivity           • Connectivity brokerage services


                             • Content delivery, message delivery
         Delivery            • Service Enablement


                             • Linking content and information into
         Service               something meaningful
                             • Localizing a global service

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Telecom trends 261112

  • 1. Telecom Trends Sharon Rozov CTO Team Nov. 2012
  • 2. The New Telecom Applications Devices/ Big Data Machines Network Cloud
  • 3. Applications Automating our lives; Streamlining our daily routines Video Augmented Location Delivery Reality Smell over IP services Social 3D Messaging Conferencing Networking Printing
  • 4. Devices/Machines A bridge between the tangible and virtual worlds  The vision: 50 Billion connected devices in 2020  Any tangible device (refrigerator, washing machine, car, etc.)  Sensors/Actuators: installed, implanted (animals), wearable (humans)  The mobile phone as a hub for sensors  RFID
  • 5. Big Data Devices + Data = Applications  Everything we do generates data  2.5 quintillion (2.5*10^18) bytes of data are created daily  The amount of data in the world doubles every 18 months  Example data generators: social networks, internet search indexes, call detail records, astronomy, atmosphere, genomics, military surveillance, medical records, photography archives, e-commerce  BIG DATA challenges  Volume, Velocity, Variety, and Veracity  Types of data  Usage data  Volunteered data  Data processing  Mining, analytics – find patterns in data  Semantics – decode ‘meaning’ of data
  • 6. Cloud The Cloud makes applications global  The Cloud enables allocation of compute and storage resources on-demand  Follow-me cloud: global access, multi access, multi device  The Cloud runs  Applications  Data mining/analytics/semantics  Network functionality  Compute/storage offloaded from end-devices Centralization Centralized Cloud: Distributed Cloud / Fog Computing: - Global Service - Low-latency - Large capacity, elasticity applications/content Distribution - Ultimate utilization of - Saves networking resources resources - Opportunistic computing, based on available capabilities of devices/CPEs flexible apportioning
  • 7. Network Content Centric Networking  Move the focus from network nodes to:  Delivery of content objects  Delivery of messages to/from devices (Publish-Subscribe)  The changing relationship between network and services The network establishes network resources connectivity, applications Service-aware traffic as building blocks running steering that can be used to Over The Top ‘program’ new services
  • 8. The Internet of Things (IoT), the Internet of Everything (IoE) Building a networked society  ‘Things’ will be seamlessly integrated into the information network  ‘Things’ are expected to become active participants in business, information and social processes  Things’ reacting autonomously to ‘real/physical world’ events and influencing it by triggering actions with or without human intervention Logical entities: Persona, Community, Things  Streamline everyday tasks, processes Context:  Automate decision making Ownership, Authorization , Location  Tackling life inefficiencies  Access to covert information  Better recommendation engines Physical entities: Human, Machine/Device /Object
  • 9. Network evolution towards the ‘New Telecom’ Major directions in Telecom Networks  Intelligence is moving to the cloud  Complexity is moving to the edge  Networks are flattening – from hierarchy to mesh architecture  Network architecture convergence  Networks automation, flexibility
  • 10. Wireless takes it all Wireless in the frontend, wireline in the backend  In 2016 wired devices will account for 39% of IP traffic, while Wi-Fi for 51% of IP traffic and mobile devices for 10% of IP traffic (source: Cisco VNI, May 2012)  LTE (Long Term Evolution) (3.9G)  As of Nov 2012, LTE is deployed in 117 networks in 54 countries, with 323 operator commitments (source: 4G Americas, Nov 2012)  More than 40M subscribers today, projection for 1B LTE subscribers by 2017 (source: Informa Telecoms, June 2012)  LTE-A (4G) : expected to be commercially available in 2013, with wider deployments by 2015  WiFi WiFi WiFi (self deployed, operator deployed, managed WiFi)  TV White Space – for rural broadband  Beyond LTE-A (LTE-B, 5G) – Standardization (3GPP release 12 is underway)  Personal Area Networks  ZigBee, Bluetooth  The LTE packet core architecture (EPC) is designed to support both fixed and mobile access networks and become a common converged core
  • 11. Heterogeneous Networks (Hetnets) Macro Cell for coverage, Small Cell for capacity  Higher data rates and increased capacity require denser infrastructure  User distribution and traffic density are often non-uniform  deploy an heterogeneous network (hetnet): hotspot cells in traffic hotspots  Hetnet complexities:  cell density  interference management  user-deployed cells  handled through automation: Self Organizing Networks (SON)
  • 12. Content is pushed to the Edge  The popularity of content-rich applications and availability of smart compute-extensive devices, drive content and applications to the edge  Storage/caching pushed into network nodes, as close as possible to end-users; network steering to retrieve content  In the future – smart terminals will become part of an opportunistic cloud  trade-offs between storage/computing/communication  Currently for optimization of overloaded networks, performance and QoE guarantee  In the future – optimization of energy consumption
  • 13. Networks are flattening Hierarchy is breaking down  Network flattening is achieved through removal of aggregation points  The network is simplified to include two types of connections  Access to cloud centers (centralized or distributed)  Inter-connectivity between cloud centers  Ultimately the network will become a symmetric mesh  Each entity connected to the network (device/machine/cloud) can be a content client or a content server
  • 14. Mesh Architectures Breaking down network’s hierarchical architecture  Cloud Federation  Connect between distributed cloud centers to enable access to content  Mesh connectivity between base stations  LTE/LTE-A introduces new spectrum efficiency mechanisms (e.g., COMP) that involve coordination between base stations. This calls for mesh connectivity (over x2 interface) between e- NodeBs  Device to device (D2D) Communication  Beyond-LTE standards will probably enable device-to-device communications  Useful in scenarios like content sharing with friends in the close proximity, cognitive cars exchanging road information
  • 15. Network Virtualization: the network wanders to the cloud IT-Telecom Convergence  Network Function Virtualization (NFV) – virtualization of network functions and services  Motivation: run network functionality over off-the-shelf standard IT infrastructure  leveraging standard IT virtualization technology to consolidate many network equipment types onto industry standard high volume servers, switches and storage  applicable to any data plane packet processing and control plane function in fixed and mobile network infrastructures  Software Defined Networking (SDN) – separation of Network node Control and Data planes, with an open interface (e.g., OpenFlow) between them  Motivation: network programmability - turn network resources into building blocks that can be used to ‘program’ new services  Intelligence is moved to the cloud, network is simplified and can handle capacity growth and scale  Control plane is implemented in software and running in the cloud  Network nodes specialize in efficient ‘forwarding’ (data plane), will be commoditized and become cheaper
  • 16. Content/application aware networking The network receives new roles  A ‘connectivity’ network will always be there  The ‘delivery’ network  Optimized content delivery per user/application requests  Message Clearing house (Publish Subscribe)  Service Orchestration – mashup applications and data originated in various verticals
  • 17. Telco Operator role Telcos will be reinventing themselves  Choose your role!  Up the value chain or down the value chain • Bit carrier Connectivity • Connectivity brokerage services • Content delivery, message delivery Delivery • Service Enablement • Linking content and information into Service something meaningful • Localizing a global service