1. Cloud storage is a business application architecture system that provides large-scale data storage and distributed computing.
Cloud storage uses a cloud-based data storage deployment model and applies distributed computing methods to aggregate a large number of different types of data storage devices in the network through application software, effectively and reasonably performing unified computing and data processing of resources and data. . The end user accesses the data resources and service systems of the cloud storage through remote or similar software applications and program interfaces of the virtual access desktop, thereby realizing efficient and rapid resource analysis and data processing in a large-scale data storage and access environment. The core technology lies in the application of cloud computing technology. A single storage device will encounter bottlenecks in both capacity and performance. With a distributed network system, huge data storage devices and software and hardware service resources can be coordinated through the network. Work and computing, around the core applications of cloud storage data storage and management, provide application services for data resources and business systems.
The key business of cloud storage is how to deal with the storage and management of massive data. The virtualization and storage pool technologies are freed from the capacity utilization, expansion, and management of traditional device forms, simplifying storage and capacity applications, and storage devices can achieve capacity expansion through standard, virtualized access methods. Low cost capacity access. For the user, accessing and managing data can be completed by using a virtualized desktop or the like. The huge storage capacity composed of various storage devices is only a single storage pool on the user side.
Second, there is an inseparable connection between the development of storage and video surveillance technology.
So far, the security industry has experienced the development process of multiple video storage stages. Different types of monitoring data storage systems have appeared in the three stages of simulation, digitization and networking of the monitoring system. From the early VCR to D VR, Hybrid D VR, to N VR and SAN storage networks, especially at this stage, the deployment of large-scale HD and networked video surveillance systems requires higher quality video images and accurate intelligence.
Ability to analyze and mine data. In the surveillance video, from the original "visible" to the current "see clearly, see far, understand", from manual image monitoring and data analysis to the use of intelligent analysis technology to intelligent real-time video analysis and Intelligent monitoring, through the calculation and processing of massive video surveillance data, has been able to achieve detailed analysis of high-definition video quality, intelligently mine data with similar features and behaviors, and provide accurate data basis for event decision-making and business analysis.
As more and more monitoring applications tend to display high-definition video images, massive data storage, multi-information fusion, information intelligence mining, intelligent analysis of large-scale data and decision-making, cloud computing and other advanced technologies, especially in safe cities, For smart cities and large-scale industrial applications across geographies, the demand for massive HD video data storage systems in these industries means a significant increase in data storage capacity and computing performance, requiring storage products with high performance, high capacity, and high reliability. Sexuality and scalability, and at the same time achieve deep integration with monitoring system applications to meet the special business applications of video data management in video surveillance systems.
In the large-scale high-definition video surveillance system application, the first is to meet the high-definition video data storage, high-definition video data such as 720P, 1080P, 5M P, 8M P and other high-resolution I PC access, large-channel concurrent large-stream Real-time data reading and writing is also a great challenge to the performance of storage. In the environment of massive HD deployment, taking into account the impact of storage performance in the overall solution, cloud storage needs high capacity and scalable capacity expansion capability. The storage device uses the single-machine capacity expansion technology such as the SAS interface and the eSATA interface in the JBO D mode or the cluster mode. The cascading or external expansion cabinets can increase the capacity of the single-system system. You can also use multiple virtualization and storage pool technologies to implement multiple configurations. Different storage devices are virtualized into a single large-capacity virtual storage device.
Secondly, in large-scale high-definition storage deployment, improve disk utilization efficiency, reduce disk space consumption, and use data compression technology, disk defragmentation technology, TH IN data reduction technology, disk bad track avoidance technology, etc. in a massive data storage environment. Reduce disk failure rate and reduce waste of disk capacity, which can effectively reduce post-maintenance costs.
In addition, from the perspective of the entire HD video surveillance solution, the cloud storage system is not a simple accumulation of storage devices. As the central node of video data storage and management, cloud storage is integrated with the overall solution to optimize video data management. All high-definition video data storage nodes can be used as the standby nodes and management nodes of the application system in the massively deployed monitoring system. , undoubtedly improve the disaster resistance of the entire solution system, ensuring system stability and reliability.
Third, in the application of core technologies, cloud storage accelerates security, high-definition, intelligent, and networked development trends
Cloud storage must be based on its high-performance massive data storage and capacity management, and integrate with security application systems. Its core technologies include virtualization technology, data security storage and protection technology, intelligent distributed video data filtering, analysis and computing. And other technologies.
Virtualization technology is to virtualize many storage devices into a single manageable logical device. The physical disks are divided into virtual disks, and the virtual disks are deepened with fine-grained management and virtual disk operation technology to achieve higher and more flexible management efficiency. Performance and capacity space to increase disk utilization through virtualized disk allocation technology.
The storage virtualization technology solves the unified management of the storage capacity of various types of devices and the dynamic segmentation of the disk capacity, and implements flexible, intelligent, and automated management of storage devices and storage spaces. The number of storage devices in the cloud storage is large. Network-based off-site distribution. Today's storage devices are very rich in types, including traditional storage media, storage devices such as I PSAN, FCSAN, NAS, FCI P, etc. Capacity management and device management between different types and devices, for large storage clouds. It is a huge challenge, and all storage resources must be effectively managed and utilized. Virtualization and storage pool technology can be used to virtualize different types of storage devices into one node on the storage network, eliminate the differences in heterogeneous devices in the logical structure, and aggregate the capacity into a huge virtual storage pool. It is easier to partition logical capacity and greatly improve storage efficiency, so that future data growth and storage expansion and management of huge data storage nodes can be easily solved.
Cloud storage-based data security and protection technologies. As a data storage center for massive data, cloud storage is integrated into large storage systems through the cloud. It should pay attention to the management capabilities of high-definition video itself. It must have a secure and reliable data protection mechanism to allow legitimate authorized users to access the corresponding data. Resources to ensure that any equipment failure or catastrophic event will not result in the loss of data. Different data storage nodes in cloud storage are data backup and data recovery mechanisms, which implement redundant backup of device level, device space and storage capacity. Now data protection technology has CDN content distribution technology and data encryption in resource management. Protection technology and data compression technology, with near-line data backup between P2P and V2P physical machines and virtual machines in storage backup and recovery, CDP local and remote continuous data replication technology, deduplication technology, snapshot technology, N +m Device-level redundancy technology, which uses multiple hardware architectures to eliminate single-point component failures within the device, and improves data storage reliability and security of cloud storage through data security and protection technologies.
Intelligent data filtering and analysis technology is also the development trend of cloud storage efficient capacity management. How to use distributed storage nodes to achieve efficient filtering of massive data, including classification, search, preview, scheduling, intelligent analysis and processing of large-scale high-definition video, which can quickly and flexibly call up the expected high-definition video data, and slice video. Data is analyzed and processed, and important key data is stored for a long time. Non-critical data can selectively reduce the storage time. Undoubtedly, intelligent analysis technology can be used to realize intelligent analysis of video data and improve management of high-definition video data. And processing capabilities, using built-in or independent software management platform, from the integrated management and supervision of equipment resources (including performance, storage capacity, equipment components), video and image resources, to achieve intelligent, visual, automatic resource scheduling and other management . The technology realizes automatic analysis, early warning, calculation and processing of events, taking into account the accuracy of video analysis, disk management efficiency, video data search and data security, and outputs highly accurate data analysis basis for human decision making.
Fourth, cloud storage technology promotes the industrialization process of the HD monitoring industry
With the changes in the network and high-definition security video surveillance system, especially the construction of safe cities, intelligent cities based on the Internet of Things, and the deep mining of applications in various industries, the capacity of massive city scale and cross-regional monitoring systems for storage There is a stronger demand for scalability, stability, reliability, and management. Through key technologies such as cloud computing and virtualization, cloud storage can achieve massive scale effect and flexible expansion, reduce operating costs, and avoid waste of resources.
In the storage capacity management, higher-capacity storage devices can meet the rapid growth of data, and the virtualized storage pool composed of PB-level data storage products can form a very large-scale data storage space to cope with massive video data storage.
Massive video data promotes the development of graphic image retrieval and intelligent analysis technology. It is undoubtedly a high-cost and low-return investment to rely on manual methods to realize the supervision of massive data. Therefore, the massive video data stored in cloud requires a kind of With fast retrieval of video data, through the analysis and calculation of massive data, according to the desired predetermined strategy and calculation principle, the intelligent analysis algorithm can be used to analyze the video data. Similarly, intelligent analysis technology can be integrated with other technologies, working with application systems such as Internet of Things, alarm systems, and automation to provide the necessary basic data and decision-making basis for decision processing of various application systems.
Fifth, the application of cloud storage technology in the public security industry
Overall function (as shown in Figure 1):
â—† The municipal monitoring center does not have real-time recordings. The monitoring center can retrieve the video of each police station through the system.
â—† The video stored in the city center is valuable. It is used for the recording of important cases and needs to be saved forever.
â—† At the municipal level, when it is necessary to collect the video of each police station for the case, the police will issue commands to the police stations through the cloud system. After receiving the order, each police station system uses the cloud monitoring unified scheduling function to search for the city in their respective video libraries. The video required by the level center is extracted and uploaded to the municipal center. After obtaining the video of each police station, the center uses the computing power of the cloud system to edit the video clips with different characteristics in different places and different time periods to form effective video clips for analysis by the actual combat department.
â—† The cloud system of the police station, through the scheduling of the metadata server, achieves load balancing and N + 0 device backup, improving system performance and reliability. Through the network, the police station's storage device and the city center can communicate effectively, accept tasks and schedule.
In order to realize the overall function, the following suggestions will be made according to the company's existing situation, and the monitoring cloud system will be implemented step by step.
Quickly implement a small-scale cloud monitoring storage system, implement N +0 deployment on N VR6000, EVS, ESS, D SS7016D and other devices, implement a cloud monitoring system at the police station level, and uniformly manage video recording of cameras to achieve a unified large virtual storage pool. . Each node of the virtual storage pool has the functions of load balancing, failover and takeover, and data redundancy backup, ensuring the security and stability of the video data of the monitoring room at the police station level, resisting data loss caused by video equipment failure, and forming flexibility. The expansion plan increases the front-end camera and back-end storage capacity, and the system is smoothly expanded without complicated redundant configuration, which brings a good user experience to the customer.
Program features (as shown in Figure 2):
â—† Video security. Device redundancy, N + 0 redundancy configuration, allows a certain number of storage devices to fail to record video.
â—† Device virtualization management. Unified scheduling by the metadata server to form a virtual storage pool for load balancing and unified interfaces.
â—† System expansion is simple and convenient. No need to reconfigure the entire system, whether it is to expand the front-end camera or back-end storage, smoothly add
After the device, the system automatically expands to improve system availability and security. The core technology of the solution lies in redundant backup and load balancing of storage devices, so the key research objects are key technologies such as device virtualization, unified file system, and cluster. The solution highlights the front-end video direct storage and no server, so the company's more suitable products are basic video access hardware devices such as NVR 7000, EV S, ESS, D SS7016D, which need to be quickly installed on these products. Implement virtualized cloud storage capabilities.
Rapid implementation of software clustering and cloud deployment
For the monitoring center level, the deployment of the software platform and the combination with intelligent analysis and actual combat services are all embodied in the cloud system technology. The platform + I PSAN is completely adopted, and the system is used as the core of the entire monitoring solution. The monitoring center can be effectively combined with the actual business, highlighting the full coverage of the video query (the video of the police station under the jurisdiction can be retrieved), the effectiveness of the video query (through intelligent processing, to achieve quick query and summary of key feature recording), Video intelligent analysis function (using cloud computing features, quickly utilizing various server resources, extracting feature video clips, post-processing video clips, and concentrating and editing), truly realizes the connection between the system and actual combat, bringing unprecedented unprecedented to users. User experience (as shown in Figure 3).
The system is built on a server-based cloud monitoring. From the prior art, the basic equipment hardware does not need to be separately developed. Because it is a general-purpose server, the company only needs to develop cloud technology, and deploy platform software and intelligent analysis software on the cloud architecture to realize virtualization, distributed, and grid. Calculate, make full use of cloud technology, improve system processing capacity, improve system stability; integrate small cloud system, intelligent transportation technology, realize monitoring cloud control; finally, integrate and dock each system, join intelligent traffic docking, realize the city's The combination of public security monitoring and road monitoring forms an impeccable security monitoring network.
Further development, through the cloud monitoring platform, intelligent traffic can be analyzed according to real-time road conditions and historical road conditions, forming an overall plan for traffic guidance and traffic planning with evidence support and guidance, and improving urban management. The system not only enhances the technical defense technology of public security work, but also provides effective help for urban transportation planning and management.
It can be foreseen that as an important part of a smart city, we have reason to believe that the development of cloud surveillance will become a wave of security video surveillance storage technology development.
Sixth, cloud storage technology still needs no
Break improvement and optimization to meet the video storage technology needs of cloud storage large solutions under the video surveillance storage device compatibility issues. Current video surveillance data stores solutions based on different types of products. For example, N VR supports front-end video streaming protocol-based video direct storage products with localized data storage performance, so how to store N VR and I PS in video storage and Management, through a simplified deployment model, to achieve a synchronous and centralized storage synchronization mechanism for video data, eliminating the differences between heterogeneous devices is critical.
Cloud storage data and management security. Cloud storage solves the problem of storage capacity and expansion. However, massive data adopts a large cloud-based management system. All data is in a single management plane, which means that data faces internal and external risks. Once an illegal intrusion and vandalism occurs, it will cause catastrophic damage to the entire cloud storage system. Therefore, the deployment of cloud storage must fully consider internal and external behaviors that may affect data security before data is destroyed and disasters. Take precautionary measures.
Cloud storage is combined with video surveillance technology and needs to be further improved. Due to the huge amount of video data faced by cloud storage, and the critical data of real effective energy is very rare, it is urgent to manage key video data through capacity management, video analysis and other technologies to improve capacity utilization and high reliability protection of key video data. .
In addition, cloud storage devices are devices of different shapes and performances. Regardless of the reliability and stability of the devices, cloud storage deployment should fully consider the impact of device differences on data storage. Reasonable management and resource allocation enable the cloud storage device of Figure 3 to provide efficient data collaborative computing and management for business systems in a massive deployment environment.
Seven, the future, cloud storage application space will increase
Video surveillance technology is not only a technical means of monitoring, but also a means of automating the supervision of many business processes, which can reduce the operating costs of enterprises. Therefore, security monitoring is not only part of security monitoring, but also social activities and life. As part of the service, the perfection and maturity of smart city, smart medical care, smart campus, smart home, and IoT network will be combined with security monitoring technology, providing technology and technology through intelligent sensing, detection, automated tracking, event warning and decision support. Lifestyle. This also means that in the near future, huge data centers for urban or even metropolitan areas that provide social services will need to be built.
At the same time, security operations services will be an important part of the future security industry and the field. The business model of the security industry has changed. The professional security operation service industry has become a service model that is emerging, including professional monitoring centers, protection centers, intelligent analysis service platforms and service clouds. Security operations are oriented towards changes in service models. Through the cloud security monitoring service model, industry, enterprises and individuals can customize relevant professional security operations services, such as homes, to customize home care, elderly and child care services. Stores can customize security monitoring, and companies can customize services such as process monitoring.
It can be foreseen that with more and more high-definition video surveillance service applications based on massive data relying on cloud storage architecture solutions, cloud storage will be more widely used in the future market of security.
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