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For video surveillance, image clarity is undoubtedly the most critical feature. The clearer the image, the more obvious the details, the better the viewing experience, and the higher the accuracy of application services such as intelligence. So image clarity is the eternal pursuit of video surveillance. However, as a high-definition video, the file size of a few G to several tens of G at a time, such a large video file, and like the emergence of a flood, not only on the storage capacity, the read and write performance, reliability, etc. have put forward higher requirements.
First, the characteristics of security monitoring storage technology
The birth of network monitoring has solved the traditional monitoring effect and has changed the traditional connection method. It is simpler and more convenient, but at the same time, it leads to more huge storage requirements and higher bandwidth satisfaction.
The storage device used in the video surveillance system has different characteristics from other types of systems in terms of data reading and writing. Video surveillance systems generally have many monitoring points (more cameras), large video data streams, long storage time, and continuous 24-hour operation. Video surveillance applications mainly write video streams. The specific features are as follows:
Video data is written to or read back from the storage device in streaming media, which is different from traditional file reading and writing.
Multi-channel video writes to the same storage device for a long time, requiring the storage system to work stably for a long time.
Real-time multi-channel video writing requires the storage system to have high bandwidth and constant.
The huge capacity requirements and high storage expansion performance require online replacement of faulty devices or capacity expansion.
Multiple concurrent reads and writes require very high performance of the storage device.
Second, the top ten monitoring storage technology inventory
When people mention security network applications, most of them think of network surveillance cameras. In fact, the composition of the monitoring system is not limited to front-end products. If there is no back-end storage device, then huge image data can only become "clouds." There are 10 technologies related to network storage:
(a) NAS system
Network-attached storage systems, file storage, and access all need to go through the local area network and also support the addition of extra storage over Fibre Channel or SCSI-based switches.
(II) NAS Gateway
That is, no disk file server, which uses a SAN storage array to provide extended storage capacity.
(III) SAN Architecture
Multiple servers in the network are connected to a central disk repository consisting of one or more storage arrays, greatly improving system management and data backup.
(D) Cloud Storage
Through the functions of cluster applications, grid technologies, or distributed file systems, a large number of various types of storage devices in the network are brought together through application software and work together to provide external data storage and service access functions.
(e) HBA
A pluggable card that connects a host computer to a network/storage device and supports multiple storage network protocols.
(VI) IP storage
Using the IP protocol to connect a remote SAN, in a Fibre Channel SAN, the IP protocol is used to send FC frames in IP packets. For non-fibre Channel SANs, the iSCSI protocol is used to convert SCSI data to IP packets.
(7) RAID
Independent redundant disk arrays require multiple disks to improve performance and redundancy.
(h) LANfree backup
Back up data to a storage array, tape library, or other storage device without going through a LAN or WAN network.
(9) Fibre Channel
Data requests are transferred from the server to the disk array, and Fibre Channel switches in the SAN are used to connect servers and storage arrays.
(10) Block-level storage
Block-level access ensures that network users do not have to manage data when reading/copying files from disk, allowing network administrators to specify where data is stored to address performance issues.