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Cloud Media Processing - Embedded Community - Intel

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• <strong>Media</strong> <strong>Processing</strong> as a Service (MPaaS) provides<br />

access to specialized platforms, APIs or fullyintegrated<br />

applications that analyze and modify<br />

media data streams. These applications leverage<br />

functions such as audio and video mixing,<br />

multimedia transcoding, recording and playing<br />

a media stream, detecting the “loudest talker”<br />

or noisy connections, and applying voice or video<br />

quality enhancements.<br />

Types of <strong>Cloud</strong> Computing<br />

<strong>Cloud</strong>s are classified as public, private, hybrid or<br />

community, based on the entities providing computing<br />

resources and networks. A public cloud uses the<br />

mainstream public Internet, which is operated by<br />

and shared across many external organizations.<br />

This model is typical for hosted conferencing service<br />

providers. A private cloud is operated for a single<br />

organization and is common among enterprises for<br />

data security, corporate governance and reliability<br />

reasons. A hybrid cloud combines both public and<br />

private clouds. A community cloud is setup for a<br />

common interest group, and the infrastructure is<br />

maintained by its members.<br />

Transition to the <strong>Cloud</strong>—<br />

What Does It Mean?<br />

<strong>Cloud</strong> computing is creating a paradigm shift that<br />

is closely aligned to guiding tenets around how<br />

computing resources are accessed and consumed,<br />

some of which are listed in Table 1. As a result,<br />

customers of cloud services can take advantage of<br />

new features, like dynamic resource allocation and<br />

consumption-based pricing models, that increase their<br />

agility and flexibility.<br />

From the perspective of telecom service providers,<br />

an industry migrating to cloud-based services is<br />

likely to experience fundamental shifts related to<br />

infrastructure, business models and competition.<br />

Drawing on insights from Morgan Keegan 5 at Equity<br />

Research, some of these changes include:<br />

<strong>Cloud</strong> <strong>Media</strong> <strong>Processing</strong> | Radisys White Paper<br />

Tenets Implications<br />

Abstract Resources Substitute references to physical servers<br />

and hard drives with instances and volumes.<br />

<strong>Cloud</strong> resources are fungible. 4<br />

On-Demand Provisioning Get more resources right when they’re needed.<br />

Give back unnecessary resources.<br />

Scalability in Minutes Scale out or in depending on usage needs.<br />

Pay per consumption Don’t pay for resources after they’ve been turned off.<br />

Automation Increase automation using APIs. The cloud provides<br />

access to scriptable infrastructure.<br />

Table 1. Tenants of <strong>Cloud</strong> Computing<br />

Infrastructure:<br />

• New on-premises infrastructure deployments<br />

give way to cloud-based systems located offsite.<br />

• Transcoding-intensive digital signal processors are<br />

substituted with virtualized COTS infrastructure<br />

based on <strong>Intel</strong> ® multi-core processor technology.<br />

• Large, upfront equipment expenditures are replaced<br />

by recurring fee (rent) payment models.<br />

Business Model:<br />

• ‘Conferencing as a business’ transitions to<br />

‘conferencing as a service.’<br />

• Interoperability requirements expand from<br />

dedicated equipment to all computing devices.<br />

Competition:<br />

• New entrants take advantage of lower barriers<br />

to entry provided by cloud computing.<br />

• Greater reliance on public networks levels the<br />

playing field.<br />

• Improved interoperability enables new partnership<br />

opportunities.<br />

4

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