The Distributed File System (SDFS) meets the new requirements for security video surveillance and solves the problem of storage and retrieval of massive urban video data. It is oriented to large-scale data-intensive applications with video and image file storage and management as the core. adjustable.
Reduce construction and operating costs
Reduce construction and operating costs. As the basic layer of the entire platform, file systems and data warehouses replace low-cost minicomputers with inexpensive high-storage PCs or single-board machines, which together provide extremely high computing power and extremely low storage costs! Using distributed computing and storage, combined with optimized hardware, clustered operation and maintenance management systems enable the dynamic allocation and deployment of resources such as computing, storage, and networking, greatly increasing resource utilization.
Cloud storage will promote the development of security video surveillance systems toward a unified platform that integrates communications, computing, storage, and application, rather than an IT subsystem that is duplicated in the overall system.
Multiple block copy redundancy
Highly reliable, using multiple copies of data blocks to achieve redundancy and reliability, data in multiple storage nodes have multiple copies of the block, any node fails, the system will automatically copy data block copy to the new storage node, the data is not Loss, to achieve complete and reliable data; and support codec algorithm to achieve a high degree of reliability, any simultaneous damage to multiple storage nodes, data can be automatically restored by algorithm decoding. This feature can be applied to the occasions where the data security level is extremely high. At the same time, the reliability of the system is greatly improved compared to the redundancy. The disk space utilization is greatly improved, and less than 40% of the disk redundancy can achieve any simultaneous damage to the three storages. Nodes without losing data.
The metadata management node adopts the high availability and fault-tolerance of multiple machines for synchronous hot backup. If any one of the servers fails, it can seamlessly and automatically switch to another server. The service is uninterrupted. There is no single point of failure in the entire system, and hardware faults are automatically shielded.
Multi-server service at the same time
SDFS has excellent performance and supports high concurrency and bandwidth saturation. The cloud storage system separates the control flow and the data flow. When the data is accessed, multiple storage servers simultaneously provide external services and achieve high concurrent access. Automatically balance the load and balance the access load of different clients to different storage servers. System performance increases linearly with the increase in node size. The larger the system is, the more obvious the advantages of the cloud storage system are and there is no performance bottleneck. It is conducive to the formation of ultra-large-scale city-level monitoring networks.
Dynamically increase and decrease storage nodes
All management tasks of the SDFS (Sky Distributed File System) cloud storage system are completed by the cloud storage system management and monitoring center, and the users can easily manage the entire system without any professional knowledge. Through the professional distributed cluster monitoring subsystem, all nodes of SDFS are monitored continuously. Users can clearly understand the operation of each node through the interface.
Online scaling enables dynamic addition of new storage nodes without service interruption. With simple operations, the system capacity can be smoothly expanded from TB level to PB level; any node can also be taken off, and the system can be scaled down automatically. No data is lost, and the data on the removed node is automatically backed up to other nodes to ensure that the entire system data has no redundancy. And synchronously improve read and write and network performance.
Reduce construction and operating costs
Reduce construction and operating costs. As the basic layer of the entire platform, file systems and data warehouses replace low-cost minicomputers with inexpensive high-storage PCs or single-board machines, which together provide extremely high computing power and extremely low storage costs! Using distributed computing and storage, combined with optimized hardware, clustered operation and maintenance management systems enable the dynamic allocation and deployment of resources such as computing, storage, and networking, greatly increasing resource utilization.
Cloud storage will promote the development of security video surveillance systems toward a unified platform that integrates communications, computing, storage, and application, rather than an IT subsystem that is duplicated in the overall system.
Multiple block copy redundancy
Highly reliable, using multiple copies of data blocks to achieve redundancy and reliability, data in multiple storage nodes have multiple copies of the block, any node fails, the system will automatically copy data block copy to the new storage node, the data is not Loss, to achieve complete and reliable data; and support codec algorithm to achieve a high degree of reliability, any simultaneous damage to multiple storage nodes, data can be automatically restored by algorithm decoding. This feature can be applied to the occasions where the data security level is extremely high. At the same time, the reliability of the system is greatly improved compared to the redundancy. The disk space utilization is greatly improved, and less than 40% of the disk redundancy can achieve any simultaneous damage to the three storages. Nodes without losing data.
The metadata management node adopts the high availability and fault-tolerance of multiple machines for synchronous hot backup. If any one of the servers fails, it can seamlessly and automatically switch to another server. The service is uninterrupted. There is no single point of failure in the entire system, and hardware faults are automatically shielded.
Multi-server service at the same time
SDFS has excellent performance and supports high concurrency and bandwidth saturation. The cloud storage system separates the control flow and the data flow. When the data is accessed, multiple storage servers simultaneously provide external services and achieve high concurrent access. Automatically balance the load and balance the access load of different clients to different storage servers. System performance increases linearly with the increase in node size. The larger the system is, the more obvious the advantages of the cloud storage system are and there is no performance bottleneck. It is conducive to the formation of ultra-large-scale city-level monitoring networks.
Dynamically increase and decrease storage nodes
All management tasks of the SDFS (Sky Distributed File System) cloud storage system are completed by the cloud storage system management and monitoring center, and the users can easily manage the entire system without any professional knowledge. Through the professional distributed cluster monitoring subsystem, all nodes of SDFS are monitored continuously. Users can clearly understand the operation of each node through the interface.
Online scaling enables dynamic addition of new storage nodes without service interruption. With simple operations, the system capacity can be smoothly expanded from TB level to PB level; any node can also be taken off, and the system can be scaled down automatically. No data is lost, and the data on the removed node is automatically backed up to other nodes to ensure that the entire system data has no redundancy. And synchronously improve read and write and network performance.
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