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IP-based camera video surveillance systems are increasingly moving video storage off closed-circuit television (CCTV) and digital video recorders (DVRs) and onto network-attached disk storage. To address this shift, new video surveillance storage systems with high-availability, bandwidth and scalability characteristics are emerging; these new systems are using SATA disk drives, iSCSI connectivity and clustering software to meet video surveillance's particular storage requirements.
John Webster, principal IT advisor at Illuminata, Nashua, NH, observes that companies gain a huge advantage by digitally storing video surveillance footage. "People can fall asleep and miss actions when they review analog video," says Webster. "When video is stored digitally, you can do an awful lot of preprocessing that identifies periods of time when action is occurring."
Connexed Surveillance Service, Palo Alto, CA, is a video surveillance storage service provider that uses a software-as-a-service (SaaS) model to deliver video surveillance. Subscribers use Connexed-provided IP-based cameras and a video surveillance platform that captures and briefly stores video data at the client site before sending it across the Internet for final archiving at Connexed's data center.
Keeping up with video surveillance data that's coming in faster than he can store it on his low-cost primary system, as well as trying to find the time and money to backup all the data is overwhelming,
"Even though it's video surveillance, customers still get cranky when you lose data," says Bentley.
To lower total cost of ownership and increase data availability, Connexed selected Pivot3's RAID Across Independent Gigabit Ethernet (RAIGE) storage cluster to attach to Connexed's data center servers. The cluster consists of server nodes called Databanks that run Pivot3's distributed RAID software and contain additional processing capacity, cache and storage for increased video capacity and throughput. Each attached server at Connexed's data center uses Pivot3's kernel-level driver, which provides direct parallel access to LUNs on Pivot3's Databanks and stripes data across them.
This was first published in October 2007