day 1-t5-1720 procaccioli-20120523
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LTE World Summit Barcelona May 2012Day 1TRANSCRIPT
Key success factors for
Video over LTE
Emanuele Procaccioli
Barcelona, April 2012
Copyright © 2012 Accenture. All rights reserved. Accenture, its logo, and High Performance Delivered are trademarks of Accenture.
Copyright © 2012 Accenture All rights reserved. 2
Accenture is a global management consulting, technology
services and outsourcing company, with more than 246,000 people
serving clients in more than 120 countries. Combining
unparalleled experience, comprehensive capabilities across all
industries and business functions, and extensive research on the
world’s most successful companies, Accenture collaborates with
clients to help them become high-performance businesses and
governments. The company generated net revenues of US$25.5
billion for the fiscal year ended Aug. 31, 2011. Its home page is
www.accenture.com.
Accenture at Glance
We use our industry and
business process knowledge,
our service offering expertise
and our insight into and deep
understanding of emerging
technologies to identify new
business and technology trends
and formulate and implement
solutions for clients under
demanding time constraints. We
help clients:
Our services span the full range
of:
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Improve operational
performance
Deliver their products and
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effectively and
efficiently
Increase revenues in
existing markets
Identify and enter new markets
Comm.,
Media & Tech
Financial
Services
Health &
Public
Service
Products Resources
Management Consulting
Business Process Outsourcing
Technology
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Mobile Video
is skyrocketing
all over the
world Video streaming as the killer application
for LTE!
53% Of all mobile
data traffic in
2011 was
generated by
video Source: Cisco Visual Networking Index 2011
0
2
4
6
8
10
12
2011 2012 2013 2014 2015 2016
Thousands
M2M
Gaming
VoIP
Video
File sharing
Data
CAGR 2011-2016: 90%
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Can LTE paint a bright
future for Video
monetization problem?
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Network evolution is
mandatory for Telcos to
reduce revenues
cannibalization by OTT and
third party service providers
Avoid Core and
Transport layers
bottle-necks
Seizing the new
revenue
opportunities…
Optimize video
streams
Optimize content
availability
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Seizing the new
revenue
opportunities.…
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Mobile Content Delivery Networks will be a key part of the solution
Operators need to be able to manage revenue-generating “premium video services” differently from OTT video services such as YouTube, optimising the experience of the former and managing the cost of delivering the latter.
Operator
Needs
• LTE deployment gives
operators the opportunity to
meet this demand,
developing specific
infrastructures that allow
“free” and “premium” video
to be differentiated
• Mobile CDN adoption
reduces operating cost,
such as backbone cost, core
network cost, and utility cost
for operators
• Enable to seize new
business models for
revenue creation.
Traffic redirection to optimal sites.
Caching and acceleration to speed up
delivery of content.
Media optimization, for transcoding sessions
to suit the devices and the network.
Guaranteed service performance to
reduce cross-service churn.
Copyright © 2012 Accenture All rights reserved. 8
Accenture Mobile Content Delivery Network view
Accenture’s view on the optimization of Mobile Broadband Video is focused on
Network initiatives on Access and Core Layers.
Client based approaches, due to the complexity of deploying and supporting them across multiple operating systems and devices, can prove highly challenging for operators.
RAN optimisation
• Backhauling off-load
• Real-time format/protocol adaptation
Core optimisation
• Caching and pre-load optimisation
• Content Rating
Accenture
Mobile CND
Strategy
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Avoid Core and
Transport layers
bottle-necks
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VST
Radio will not limit capacity. LTE will offer, especially in the initial
roll-out, plenty of bandwidth available in the radio interface
Transport and Core networks may become the real bottle-neck for customers’
experienced quality thus requiring to actively storing video content near the
delivery Edge
• The massive deployment of
Radio elements will push Core
and Transport networks to the
limits
• The main challenge will be the
ability to manage traffic and its
prioritization in backhauling and
transport networks, avoiding
bottlenecks and network
overloads.
• On mobile networks,
prioritization of conversational
and streaming traffic might not
be enough to give users their
desired QoS.
• Operators will require to off-load
Video streams traffic from core
network elements.
Internet/
other Packet
networks
PG
W
IP
Network Gateway
HUB
SG
W
MM
E VMS
VSS
Mobile
CDN
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Backhauling off-load
Streaming servers have to be deployed in a distribute architecture to be as-
close-as possible to the end users
• Streaming solution enables to
deploy the streaming
elements near to the end-
users (up to the e-nodeB)
• CDN Network topology could
be defined based on the
existing access layer
architecture, thus privileging
high-density areas.
• Accenture solution leverage
industry standards (e.g.
Hybrid-Iub, LTE LIPA-SIPTO
capabilities) in order to allow
interoperability and device
agnosticism.
Presence Data
Customer and Marketing DB
Utilisation
Real-Time
Presence
User Profiles and
Marketing Data
SDP BSS
Resource
Inventory
User Profile Geo
Location
Streaming Manager
Site clustering based on
Streaming Server
Network Topology Best
Streaming
Server
Load Balancing
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Optimize video streams
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Streaming architecture must be optimized for formats and protocols used on
mobile environment.
Optimized Streaming Server for Mobile
Audio/ Video/ HTML Formats, protocols and
profiles change fast and, more importantly vary from model to
model and from bitrate to bitrate (according to the
throughput available in the given moment)
In an ideal scenario, all these options will be
considered at the origin of the content chain.
However, going up in the content chain is
always complex, expensive and in
some cases impossible (e.g.
content syndication)
• Accenture Solution includes on-
the-fly conversion to adapt
contents as much as possible to
the flavor used by the device
model.
• Support all popular formats,
including adaptive bitrate
options suitable for highly
variable throughput networks.
• All is integrated in the Mobile
CDN design so that contents
can easily be pushed/ preloaded
to the device
• Accenture solution leverage
industry standards (e.g. codec
and protocols streaming
techniques) in order to allow
interoperability and device
agnosticism.
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To guarantee best video fruition over different devices and network capabilities,
the architecture shall support adaptive streaming.
Adaptive streaming
• Use of HTTP Live
streaming is widely
supported by iOS
and Android Devices
• Use of device native
streaming avoiding
need of custom
device clients
• Streaming profiles
selection needs to
be tuned for best
mobile experience:
• frame sizes
• profile
bandwidth
selection
• use of “pure
audio” profile
• etc.
Quality Clustering
Streaming Server
Traffic Class
Policy DB
Policy Enforcement Decision
Low Quality
Average Quality
Best Quality
Premium Quality
Informations
Congestion Management
time Congestion Zone
Bit
Rate
time Congestion Zone B
it R
ate
Premium quality
Bit Rate Adaptation
Bitrate Ad.
Average Quality
Bitrate Ad.
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Optimize content
availability
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Accenture solution integrates native pull caching mechanism with a pushing logic
that promote popular contents on the edge server anticipating user requests for
an improved user experience and optimizing backhauling network load.
• Metadata manager collects metadata for
Live and On Demand contents including:
Content details (e.g. title, genre, category,
actors), Relationship with Content Items (e.g.
trailers, posters, extras) and editorial
contributions (e.g. content description,
category, new section management).
• Content Transcoding and Publishing
prioritize contents according their
categories (e.g. news first!) and transcode
contents optimizing bandwidth consumption by
adaptive streaming
• Distribute metadata end EPG to Multimedia
Application Servers (Streaming Manager and
Streaming Servers)
• Promote contents suggested by commercial/
marketing departments to anticipate user
requests
Pre Load Optimization
Content Delivery Manager
Streaming
Manager
Streaming
Server
User Data Content
Metatada
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User information and content data are analyzed by an Accenture proprietary
algorithm allowing to identify contents that are likely to be requested by end user.
The rating policies can be configured to adapt rating engine to each deployment
and regional distinctive patterns.
Configuration
Manager
Rating
Engine
User Request
Aggregator
Publishing Request
Aggregator
Policy Enabler
• Aggregators collect, organize and indexes
user requests and content metadata
received by the Video Manger.
• Rating Engine processes collected data and
define contents eligible for pre-loading
• Policy Enabler enforces pre-loading actions
depending on streaming server technologies
• Configuration Manager defines rating engine
parameters and allows to collect user inputs
such as preferred content list
Content Rating Engine
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Why Accenture
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Accenture: The strategies, technologies and platforms to achieve High Performance.
Accenture is a leading provider of advanced business and
technology solutions, as well as outsourcing services, for the
media and entertainment, communications, electronics and high-
tech industries.
We have an extensive history of developing innovative and
interactive applications on top of broadband-based platforms,
and advanced integrated video and communications experience
across wireline and wireless networks. We also support content
aggregation and distribution across an extensive, global
customer base.
Copyright © 2012 Accenture All rights reserved. 20
Contact Us
To learn more on LTE topics,
please visit: www.accenture.com/LTE
Angelo Morelli Executive. Accenture
Emanuele Procaccioli Senior Manager. Accenture
Copyright © 2012 Accenture All rights reserved. 21
Thank
you!