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