Quantum Releases Reference Architecture for Large-scale Surveillance Workloads
Quantum says it has validated a modular, scalable reference architecture that supports up to 2,000 cameras and up to one year of retention.
SAN JOSE, Calif. — Quantum Corp. (Nasdaq: QMCO) announces the release of a reference architecture for large-scale surveillance workloads. Building on the company’s broad portfolio of surveillance and security solutions, the reference architecture is said to combine a highly available front end with Quantum StorNext, a file system for video workloads to address the growing need for high-performance, large-scale shared storage.
Video surveillance cameras are the biggest data generators in the world. As camera resolutions continue to increase, data volumes are growing exponentially. 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 high performance to ensure that cameras are always recording and frames are not dropped.
Quantum has designed a shared storage solution that specifically addresses the performance, scale and retention requirements of large surveillance workloads, according to the announcement. The solution combines enhanced hyperconverged infrastructure (HCI) software for Quantum’s VS1110-A application servers and a unique configuration of StorNext shared file storage optimized for video surveillance.
Quantum states it 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,” says Jamie Lerner, president and CEO at Quantum. “As the world’s fastest file system for video workloads, Quantum 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 new reference architecture is part of the company’s continuing investment and innovation for the surveillance and security market, according to the announcement. Other recent developments include the ability to securely monitor Quantum NVR systems remotely using Quantum’s Cloud-Based analytics software.
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