Cloud Media Processing - Embedded Community - Intel

To better serve cloud computing customers, media
server vendors (i.e., equipment manufacturers) are
optimizing media processing elements to enhance
performance in these environments. Moreover, mediaoptimized
elements will ease the deployment and
provisioning of media processing capacity, and leverage
virtualization technology to increase the flexibility
and cost efficiencies availed by cloud computing
infrastructure. For instance, web service provider
Amazon offers their Elastic Compute Cloud (Amazon
EC2 10 ), where media processing elements could be
optimized for rapid deployment to support on-demand
resizable media processing capacity in the cloud.
Example: Cloud Media Processing
for Peak Capacity
A successful service provider offering hosted telecom
services has a growing business and needs to
increase its capacity. Rather than increase capital
expenditures (CapEx) to fund more infrastructure,
the service provider obtains additional capacity
from a cloud service provider during peak demand,
just a few hours a day (Figure 3). When evaluating
cloud service vendors, the telecom service provider
considered network I/O costs, connectivity quality and
overall network performance with respect to jitter,
delay and QoS. Another key aspect was ensuring the
management features could seamlessly integrate
and hand-off calls from the existing infrastructure
to the cloud provider.
The cloud service provider offering included hosted
media servers whose resources were partitioned as
virtualized instances, allowing them to be provisioned
and used, as required, during peak periods. In other
words, the virtualized instances could be activated
and brought online during peak periods, and later
released when demand decreased.
Benefits of outsourcing for service providers:
• Saves capital and operating expenditures
(CapEx/OpEx) to enable future growth.
• Allows media processing resources to
be gradually migrated to the cloud.
Cloud Media Processing | Radisys White Paper
Configure Network
for Normal Traffic
• Service Provider
provisions infrastructure
for normal traffic volumes
Service
Provider
Application
Server (AS)
IP Media
Server (MRF)
Use IaaS Media
Processing During
Peak Traffic
• Provision and utilize media
processing instances
during peaks
• Service Provider AS routes
overflow calls to cloud
media processing
• Turn off when daily peaks
completed
• Enables tiered-service offerings.
Cloud Media
Services
Provider (IaaS)
Virtualized
Media Resources
˸ Premium (highest QoS): uses the service
provider’s internal network and infrastructure.
˸ Economy (satisfactory QoS): uses the cloud.
APIs and Interfaces for Media
Services—PaaS Model
Service providers are looking for new ways to offer
real-time media processing services, in addition to
hosting their own services. One promising avenue is
to open up their platforms to third party developers,
whose applications would interface with and utilize
their real-time media processing as a service (MPaaS).
This business model could be supported by the public
cloud, which could also handle the billing for third parties.
To pursue this opportunity, service providers must
expose their media service APIs and interfaces in
languages and formats that can be utilized by the
broadest cross-section of the software engineering
industry. The pool of software engineers that develop
applications using SIP or other telecom-specific APIs
make up only a small percentage of the software
Consistent End
User Experience
• Same service quality,
features and performance
24/7
11
PSTN
Phone
2G
Cellular
Laptop
with VoIP
Client
LTE
Smartphone
with App
Figure 3. Outsourcing Media Processing to Add Capacity During Peak Demand