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Cloud Media Processing Webinar co-sponsored by Radisys and Intel June 12, 2012 Adnan Saleem Chief Architect, CTO Office [email protected] Ray Adensamer Senior Product Marketing Manager [email protected]

Moving Media Processing to the Cloud

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Examine some of the major considerations for deploying IP media processing for real-time telecommunication services, such as VoIP, personalized video, and multimedia conference mixing, through cloud-based telecom solutions. This webinar will outline how cloud computing for media processing enables flexible service capacity with compelling economics for a variety of applications. Presented by: Ray Adensamer, Sr. Product Marketing Manager and Adnan Saleem, Chief Architect

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Page 1: Moving Media Processing to the Cloud

Cloud Media Processing

Webinar co-sponsored by Radisys and Intel

June 12, 2012

Adnan Saleem Chief Architect, CTO Office

[email protected]

Ray Adensamer

Senior Product Marketing Manager [email protected]

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Welcome!

June 12

Cloud Media Processing

June 19

Lowering Cost-Per-Bit with 40G ATCA

June 26

Breaking Ground: Fast Track to RAN-

Aware Policy Enforcement

To register for the remaining webinars: http://go.radisys.com/Unlocking.html

Unlocking New Revenues: Optimize & Monetize Your LTE Infrastructure

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Evolved Packet Core Policy Control Radio Access Network IMS

Application

Server Media

Resource

Function

IP

Multimedia

Subsystem

Internet

Policy &

Charging

Routing

Function

Policy &

Charging

Enforcement

Function

Mobility

Management

Entity

LTE Security

Gateway

Serving

Gateway

Packet

Gateway

eNodeB

User

Equipment

Macro Small Cells

60+ Customer Wins

Audio Video Conf

~65% Market Share

10G 40G ATCA

~40% ATCA Market Share

Dumb Smart Pipes

Traffic Management

End-to-End LTE Infrastructure From Radio Access to Media Processing

Home eNodeB

User

Equipment

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Agenda

Introduction

Media Processing as a Service

Deployment Examples

Conclusions

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Cloud Trends for Communication Services

Video Demand

in the Cloud

In 2012, almost 80% of IT

organizations will increase

their use of video with focus

on deploying Cloud-based

Collaboration Services

Ashton Metzler And Associates, 2011

80%

Enterprise Application

Migration to the Cloud

80% of new commercial

enterprise applications will

be deployed on cloud

platforms

IDC Predications 2012

80%

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Guiding Principles for Cloud Computing

Guiding Principles Implications

Abstract Resources Substitute references to physical servers and hard drives

with instances and volumes.

Cloud resources are interchangeable.

On-Demand Provisioning Get more resources right when they’re needed.

Give back unnecessary resources.

Scalability in Minutes Scale out or in depending on usage needs.

Pay-per-consumption Don’t pay for resources after they’ve been turned off.

Automation Increase automation using APIs. The cloud provides

access to scriptable infrastructure.

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Common Cloud Service Models

Examples

Reference:

wikipedia.org/wiki/cloud_computing

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Poll Question #1

What is the top deployment challenges for

cloud communication services?

a) Security

b) Network Performance

c) Management

d) Application Performance

e) Content Storage

f) Billing

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Enterprise CFO “Cloud” Dream for IT

Chief Financial Officer

CFO’s Eye-Popping Benefits

1. CAPEX Cost Savings

2. Better Cash Flow

3. Minimized Depreciation

4. Better Compliance Strategy

Cloud Phenomenon has legs since driven by

Financial goals – not Technical ones

What If: 100% of my IT

infrastructure (Applications, Data,

Servers, etc.) could be moved to a

Public Cloud, then I wouldn’t need

to buy any more IT hardware or

software or hire any more IT

Staff...

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Enterprise IT Cost Savings Are Driving Cloud Services…

Build Vs. Buy

Internal IT

Managed Hosted

IT Services

Cloud Services

Build

Internally

Buy

Externally Cost Savings:

• CPU, Storage, Database

Time Savings:

• Faster application deployment

Consistency:

• SOX, HIPAA, GLBA

IT Cloud Services estimated to grow from

~$41B in 2011 to $241B by 2020* *Gartner: Sizing the Cloud, September 2011

Key difference:

pricing &payment models

OPEX

High

CAPEX

Medium

CAPEX

Cost

Savings

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… but Service Providers Have Additional Motivations

Cost

Savings

Telecom

Services

Revenue

Streams

New Revenue:

• Sell Storage, Compute, Database

and Content Services

New Users, More ARPU:

• Extend traditional Real Time

Services to new Markets

• Drive up Minutes of Use

Cost Savings:

• CPU, Storage, Database

Time Savings:

• Faster application deployment

Consistency:

• SOX, HIPAA, GLBA

Revenue

Streams

Cost

Savings

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Cloud Service Categories with Network Requirements

Reference:

Cisco Global Cloud Index: Forecast and Methodology, 2010-2015

Figure 8: Sample Business and Consumer Cloud Service Categories

Cloud-based Communications

require high network performance

Basic Cloud Apps

Network Requirements

Download Speed:

• Up to 750 kbps

Upload Speed:

• Up to 250 kbps

Latency: Above 140 ms

Intermediate Cloud Apps

Network Requirements

Download Speed:

• 750-2,500 kbps

Upload Speed:

• 250-750 kbps

Latency: 140-50 ms

Advanced Cloud Apps

Network Requirements

Download Speed:

• Higher than 2,500 kbps

Upload Speed:

• Higher than 750 kbps

Latency: Less than 50 ms

• Text Communications

(Email, Instant Messaging)

• Web Browsing

• File Sharing (Basic)

• Web Conferencing

• Social Networking

• Stream Basic Video and

Music

• File Sharing (High)

• ERP and CRM

• Basic Gaming

• IP Telephony

• Basic Video Chat

• IP Audio Conferencing

• Basic Video Conferencing

• HD Video Streaming

• Advanced Social Networking

• Advanced File Sharing

• Advanced Gaming

• Advanced Video Chat

• HD Audio Conferencing

• HD Video Conferencing

• Stream Super HD Video

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Regional Network Latencies

Reference:

Cisco Global Cloud Index: Forecast and Methodology, 2010-2015

Figure 14: Business and Consumer Network Latencies by Region

“Rule of Thumb”

150 ms

Maximum

end-to-end

network delay

for

real-time communications

with adequate QoS

Networks in many regions would

struggle to deliver high quality

cloud-based communications

Business Fixed Latency

Consumer Fixed Latency

Business Mobile Latency

Consumer Mobile Latency

MEA LATAM APAC NA CEE WE

100

200

300

400

500

600

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End-User Cloud Application Readiness

Reference:

Cisco Global Cloud Index: Forecast and Methodology, 2010-2015

Figure 15: Cloud Application Readiness

Cisco concluded that Cloud Infrastructure is not ready for

Advanced Cloud Applications (i.e., HD Audio and Video Conferencing)

Basic Cloud

Appliation Ready

Intermediate Cloud

Application Ready

• Text Communications

(Email, Instant Messaging)

• Web Browsing

• File Sharing (Basic)

• Web Conferencing

• Social Networking

• Stream Basic Video and

Music

• File Sharing (High)

• ERP and CRM

• Basic Gaming

• IP Telephony

• Basic Video Chat

• IP Audio Conferencing

• Basic Video Conferencing

• HD Video Streaming

• Advanced Social Networking

WE CEE

NA APAC

LATAM MEA

High

Average

Broadband

Speed

Low

Latency High Low

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Agenda

Introduction

Media Processing as a Service

Deployment Examples

Conclusions

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Introducing MPaaS (Media Processing as a Service)

Compute, I/O, Storage,

Load Balance,

Redundancy

Tuned for Realtime

Realtime Communications

Services APIs

(Create and Deploy

Communications Apps)

Complete Communications

Applications Hosted in

Cloud (eg. Multimedia

Conferencing)

Media Processing in

Cloud Layers

(IaaS, PaaS, SaaS)

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Overcoming Challenges in Delivering MPaaS

1. Real-time network performance

2. High availability and reliability

3. Resource allocation and management

4. Media processing in virtual machines

5. Secure access for media and control planes

6. Service-aware load balancing and traffic redirection

7. Cloud applications and developer APIs

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MPaaS Challenges

1. Real-time Network Performance

Many classic IT applications don’t have

stringent performance requirements

But telecommunications is different

• Rule-of-thumb = End-End 150 ms maximum delay

Reduce delay, jitter, and packet re-sequencing

Radisys Solution

Patented technology for real-time performance

Reduced media plane delays (5ms packetization)

Optimized multi-core compute and I/O

Intel Integrated Performance Primitives (IPP)

• Optimized software functions for multimedia applications

• Delivers parallel compute performance > optimized compilers

• Provides homogeneity across a diverse set of servers

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MPaaS Challenges

2. High Availability and Reliability

Communication services require “Five Nines”

Stateful operations required,

not stateless transactions

Cloud infrastructure must deliver to

traditional telecom reliability expectations

Radisys Solution

Media processing origins founded in telecom

Platform-independent “Five Nines”

• Intel COTS servers and purpose-built network elements

Compute and I/O redundancy

Service level redundancy

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MPaaS Challenges

3. Resource Allocation and Management

Resource management

Overload & burst capacity

Geographic resource management

Server / service redundancy

Radisys Solution

Real-time resource utilization reporting & statistics

Burst capacity increases via aggregating resources

Distributed media processing – local & remote

Resource reservations for service guarantees

Failover schemes for rapid service continuity

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MPaaS Challenges

4. Media Processing in Virtual Machines

Virtualization technology

frequently used in cloud

deployments

However, virtualization can

often impact real-time

performance – especially

under high load

Email

Applications

Customer

Relationship

Management

(CRM)

Unified Communincations

(UC)

Radisys Solution

Radisys media processing algorithms tuned and tested on

virtualized environments under load

Real-time response guarantees under VM loads

Minimized capacity degradation as compared

to bare metal implementations

Speed of media applications spin up / spin down

Real-Time Near

Real-Time

Non

Real-Time

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MPaaS Challenges

5. Media, Control, and Access Security

Storing company info in cloud can be risky

Incorporating encryption and

authentication technology is critical,

particularly for public clouds

Radisys Solution

Media Plane

• Secure Real-time Transport Protocol (SRTP)

Control Plane

• Internet Protocol Security (IPsec)

• Transport Layer Security (TLS)

Operations and Management

• HTTPS, SFTP, SNMPv3 for Secure O&M

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MPaaS Challenges

6. Load Balancing and Traffic Redirection

Radisys Solution

Wire-speed load balancing (stateful and stateless)

Intelligent / configurable flow identification

Radisys FlowEngine for session-aware traffic management

Mobile / wireline originated flow identification via de-tunneling

Solutions based on network packet processors and Intel x86

DPDK-enabled blades / servers

Service flow identification

Session awareness

Traffic redirection

QoS / priority classification

High density / throughput

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MPaaS Challenges

7. Cloud Media Applications and APIs

Telecom application developers need

mechanisms to invoke media services

hosted in the cloud

Exposing carrier services to cloud

applications

Cloud hosting for web developers,

RCS, GSMA OneAPI, OMA Network

APIs, wholesale app community

Radisys Solution

IMS / telecom protocols in the cloud

SIP, VoiceXML, MSML and IMS Application Server APIs

Going beyond IMS / telecom interfaces

HTTP / RESTful APIs for web / mobile app developers

Common media processing for carriers & cloud applications

Public or

Private Cloud Carrier

Networks

Developer

Community

Common Media Processing

Telecom

Web APIs

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Requirements Importance for MPaaS

Quality Network I/O,

Load / Traffic Management

Real-Time Media

Processing

General Purpose Compute

Resources

Security

Element Management

Billing

Storage

High

Medium

Medium

Medium

Low

Low

High

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Agenda

Introduction

Media Processing as a Service

Deployment Examples

Conclusions

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IP Media Server

(MRF)

Example 1: Provisioned Capacity for Normal Capacity

Service

Provider

Application

Server (AS)

2G Cellular

LTE Smartphone with App

Laptop with

VoIP Client

PSTN Phone

Normal

Capacity

Requirements

0

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IP Media Server

(MRF)

Example 1: Cloud Media Processing for Peak Capacity

Service

Provider

Application

Server (AS)

Cloud Media

Services Provider

(IaaS)

Virtualized

Media

Resources

2G Cellular

LTE Smartphone with App

Laptop with

VoIP Client

PSTN Phone

Normal

Capacity

Requirements

Peak

0

Consistent end-user

experience

• Same service quality,

features, and performance

24/7

• Use IaaS media processing

during peak traffic

• Release resources

when back to normal

• Benefit - Minimizes service

provider expense profile

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Example 2 Customer Care Interactive Web Session

IP Access

LTE

Mobile Internet, IP VPN

Cloud

Customer Care

Service

Customer Care

SaaS Application

Customer Care

Interactive Web Session

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Example 2 Cloud Media Processing for 3rd party Developers to Extend Chat with Multimedia Conferencing

MPaaS

Cloud

Communications

Service

IP Access

LTE

Mobile Internet, IP VPN

Conferencing

Application

Web-based APIs

Cloud

Customer Care

Service

Customer Care

SaaS Application

“Click to Conference”

Request

Customer Care

Interactive Web Session

Real-time 3-way

Video Conferencing Session

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Example 3 Remote Workers Connected Back to HQ Unified Communications Platform

Enterprise HQ Location

UC Desktop Tools

Enterprise

UC Platform

Desktop IP Phone

4x Media Connections for

4x Remote Participants

IP WAN

Circuit

Access 2G

Cellular

LTE Smartphone with App

Laptop with

VoIP Client

PSTN Phone

IP Access

LTE

Mobile Internet, IP VPN

PSTN, 2G Mobile

Gateway

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Example 3 Workers Connected with Cloud Communications Service

Cloud

Communications

Service Circuit

Access 2G

Cellular

TDM

IP

LTE Smartphone with App

Laptop with

VoIP Client

PSTN Phone

IP Access

Enterprise HQ Location

UC Desktop Tools

LTE

Mobile Internet, IP VPN

PSTN, 2G Mobile

Enterprise

UC Platform Desktop IP Phone

Gateway

MPaaS

UC

Application

Servers

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Agenda

Introduction

Media Processing as a Service

Deployment Examples

Conclusions

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Poll Question #2

Which of the following do you believe will be the

biggest growth area in cloud media processing:

a) Optimized Cloud Network Resources (IaaS)

b) Network APIs for creating communication services (PaaS)

c) Communication Services hosted in the Cloud (SaaS)

d) Cloud is not ready for real-time communications

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Cloud Media Processing Challenges and Solutions

Media Server on VM Platforms

• Virtualized environments typically not optimized for real-time performance

• Radisys Software Media Server provides tuned / optimized VM environments

• Maximizes media processing capacity under high system load

Media and Control Security

• Control plane security via IPsec, TLS

• Media plane security via SRTP

• OAM security via securing all management interfaces

Load Balance and Traffic Redirection

• Radisys packet processing expertise including DPI-based solutions

• Sophisticated flow detection and routing

Redundancy and Service Resilience

• HA architectures employed in telecom markets ALSO needed for cloud services

• Radisys supports telecom-grade 5-Nines redundancy for media / data solutions

Network Interfaces and APIs

• Radisys supports diverse set of control interfaces (eg: SIP, VXML, HTTP, MSML, …)

• Java APIs / interfaces and new standardization work around HTTP / REST APIs

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Conclusions

Cloud computing is significant IT trend

• CFOs and CIOs love the economic benefits…

• …but telecom engineers need to be more cautious

Customers increasingly asking us about deploying

media servers in the cloud

• We understand the challenges

• We can help customers realize

the benefits

For more info; www.radisys.com/CloudMediaProcessing

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Q&A

Contact us!

Adnan Saleem

[email protected]

Ray Adensamer

[email protected]

For more info;

www.radisys.com/CloudMediaProcessing

~ Please fill out our short survey ~

THANK YOU FOR ATTENDING!

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Thank You!

Radisys Media Servers

Ready for Cloud Media Processing