Ned Soseman /
Originally featured on BroadcastEngineering.com
Snell moves to the cloud
Snell On Demand migrates its award-winning image processing tools to virtualized environments.
At the 2013 NAB Show, Snell announced its Snell On Demand platform, a completely new media processing framework designed to provide on-demand access to Snell's award-winning image processing algorithms in file, virtualized broadcast and digital media environments.
The launch of the Snell On Demand framework is a bold step that marks the beginning of the company's migration of its image-processing tools from dedicated hardware platforms to software-based applications that can be elastically provisioned in file, cloud-based and virtualized infrastructures.
By taking advantage of advances in cloud computing and virtual machine technologies, the Snell On Demand framework enables immensely scalable solutions, from a single computing instance to a cloud-computing environment delivering a service over a network. Snell On Demand allows users to deploy processing solutions on reliable, cost-effective commodity IT infrastructure rather than employ dedicated hardware for discrete processing operations. By providing access to Snell's world-class signal-processing algorithms and tools as flexible, highly efficient software implementations, Snell On Demand enables users to differentiate their service offerings for their clients and end users.
Snell On Demand offers the broadcast and media industry the opportunity to take a major step forward in service innovation and workflow efficiency. With Snell On Demand, Snell is putting the cost/benefit equation fairly and squarely into the hands of the customer. It's simple: Customers can choose to buy as much or as little processing resource as fits their business model secure in the knowledge that Snell products derived from the Snell On Demand framework will give them the best possible quality results from world-leading media processing tools.
Users can scale Snell On Demand according to their needs. To increase performance, users may add acceleration hardware or commercially available off-the-shelf products such as graphics processing units (GPUs), or they may choose to distribute processing applications across multiple virtual machines or server farms. The framework assures ease of integration with cloud providers, thus supporting delivery of Snell product solutions as a service on a network.
The first Snell On Demand product, which was demonstrated at NAB, is Alchemist OD, a software-based frame-rate converter that offers rapid conversion of media files. For international program delivery or integration of international content into domestic schedules, Alchemist OD will provide the high-quality frame-rate conversion. The initial product implementation will support broadcast standards from SD to 3G 1080p, with frame-rate and format conversion between common broadcast file formats.
Snell On Demand standards conversion software can be deployed on a single server node, with optional GPUs. To further improve efficiency, users may run parallel conversion jobs on a server farm. Because Snell offers OpenStack compatibility, the software may be implemented in either a public or private cloud.