Quantum Reference Architecture With Scale and Retention Requirements for Large-Scale Surveillance Workloads

Combines highly available front end with StorNext file system for video workloads.

Quantum Corporation announced a reference architecture for large-scale surveillance workloads.

Quantum Reference Architecture vs Shared Storage

Quantum Reference Architecture Vs Shared Storage DiagramBuilding on the company’s portfolio of surveillance and security solutions, the reference architecture combines an available front end with the firm’s StorNext, a fast file system for video workloads, to address the growing need for performance, large-scale shared storage.

Quantum Reference Architecture vs Primary Storage

Video surveillance cameras are big data generators in the world. As camera resolutions continue to increase, data volumes are growing. Today, surveillance data is used for much more than just security and loss prevention. New applications include analyzing traffic patterns to improve flow or using number plate recognition to speed up payments at toll booths and drive-throughs. Data retention requirements are expanding to allow time for additional analysis. Managing the complexity and scale of large surveillance workloads requires a shared storage solution with sufficiently performance to ensure that cameras are always recording and frames are not dropped. The company has designed a shared storage solution that addresses the performance, scale and retention requirements of large surveillance workloads. The solution combines enhanced hyperconverged infrastructure (HCI) software for VS1110-A application servers and a configuration of StorNext shared file storage optimized for video surveillance. The company has designed and validated a modular, scalable reference architecture that supports from 500 to 2,000 cameras and 30 days to one year of retention.

“Video surveillance is increasingly being used to make our cities smarter and modernize business operations through analytics. However, at a certain level of scale, IT-based shared storage solutions simply can’t keep up with today’s surveillance workloads,” said Jamie Lerner , president and CEO. “As the world’s fastest file system for video workloads, StorNext is uniquely suited to large-scale surveillance use cases. The resiliency gained through high-performance shared storage with an HCI front end will give customers peace of mind that they won’t drop a single frame.“ The reference architecture is part of the company‘s continuing investment and innovation for the surveillance and security market. Other recent developments include the ability to securely monitor Quantum NVR systems remotely using the firm’s Cloud-Based Analytics software.