From the evolution of computing technology, we can clearly see that the birth of cloud computing is inevitable. Since the first computer was invented by mankind in the 1940s, and by the advent of the Internet in the 1970s and now cloud computing, it has reasonably explained that computing nodes have evolved from single-point computing to networked computing and now to cloud computing. The whole process is a quantum leap from quantitative change to qualitative change. The definition of cloud computing is the product of the convergence of traditional computer technologies and network technologies such as grid computing, distributed computing, parallel computing, utility computing, network storage, virtualization, and load balancing. Cloud computing includes not only computing resources, storage resources, but also networks. And, after the completion of the traditional computing revolution, a new round of innovations centered on the Data Center Network (DCNet) will emerge. We will discover that the essence of cloud computing is to build an intelligent data center or a next-generation data center.
What impact will such an IT product have on the security industry? Experts in the industry analyze cloud computing networks, cloud storage, cloud computing, and even cloud construction models. With the development of networked video surveillance, the amount of video data that needs to be stored and managed has become increasingly massive. NSA/SAN (networked storage), cloud storage, and virtual information center technologies have great application prospects in the security monitoring industry. . After the advent of the high-definition and intelligent era, the security industry is faced with the challenge of how to store massive amounts of video data. Using cloud computing technology, it is believed that valuable image information for users can be found in the massive video data.
The composition and characteristics of cloud computing Essentially speaking, cloud computing is a change in the IT model. This change makes the degree of professionalism in the IT infrastructure constantly concentrated and improved, thus putting higher requirements on the infrastructure. As shown in Figure 1, cloud computing focuses on high performance, virtualization, dynamics, scalability, flexibility, and high security, simplifies IT management for users, improves IT operational efficiency, and significantly reduces costs. The infrastructure of cloud computing is mainly composed of computing, network, and storage. To meet the above requirements of cloud computing, each infrastructure level has its own requirements. As shown in Figure 2, for the server, cloud computing requires it to support more intensive computing capabilities (current multi-core multi-core architecture), full virtualization capabilities (CPU instruction virtualization, software virtualization, bridge virtualization, IO virtualization ) Integration of multiple IOs (data access and storage)—CEE and FCOE; for the network, 100G-oriented performance becomes the basic support platform for cloud computing, and a more flat, highly scalable architecture is built to meet the virtual machine computing environment. Large-scale Layer 2 loopless networks, unified exchange of COE/DCE, and L2-L7 deep-secured (10GE-class performance) security integration; for storage, high-speed IO will be oriented to 10G/16G, highly-extending virtualized mass storage, and unified Exchange IO integrated FCOE.
Some people say that this year is the first year of cloud computing. After three years of precipitation, the characteristics of cloud computing come to the fore. When we learn what cloud computing is, we also need to grasp its characteristics in order to be able to seat itself in specific applications. The most prominent features of cloud computing are high reliability, high scalability, outstanding generality, large scale, no need for capital investment, rapid product development cycle, and so on.
"Cloud" uses data multi-copy fault tolerance and compute node isomorphism interchangeability measures to ensure the high reliability of services. It is more reliable to use cloud computing than to use local computers. Cloud computing allows users to access application services at any location and using various terminals. Cloud computing does not target specific applications. Under the support of "cloud", it is possible to construct ever-changing applications. The same "cloud" can support different applications at the same time. The application runs somewhere in the cloud, but in reality the user does not need to know or worry about the specific location of the application. In addition, the scale of the "cloud" can be dynamically scaled to meet the needs of applications and user scale growth.
"Cloud" how to store massive amounts of video surveillance data As we all know, video surveillance systems generally have many characteristics such as multiple monitoring points, large video data streams, long storage time, and continuous 24-hour operation. The storage device used in the video surveillance system has different characteristics from other types of systems in terms of data reading and writing.
Security monitoring technology has experienced three stages of simulation, digitization and networking today. In keeping with this, monitoring data storage has also gone through multiple stages: from initial VCR analog data storage to DVR digital data storage, to now centralized network storage and SAN storage technologies, and recently emerging cloud storage technologies. NAS uses disk arrays and network architectures to provide a large amount of storage capacity. The SAN cooperates with the monitoring and management platform to provide more storage space. It has the advantages of easy storage space expansion, flexible addressing, long-distance data transmission, and high utilization of storage devices. It is especially suitable for large centralized network monitoring systems. IP SAN is considered as the next hotspot in the video surveillance storage market. DVRs coexist with other storage methods for a long period of time.
The video surveillance system has a huge amount of image information and the required storage capacity is considerable, requiring sufficient storage space. As one of the main back-end equipments of video surveillance systems, system storage devices should be able to collect and manage front-end collected and compressed data through centralized or decentralized networks and meet the needs of video surveillance mass storage. With the continuous increase of large-scale monitoring projects, how to store massive amounts of video surveillance data has become the focus of attention in the industry. As a result, cloud storage surfaced. Compared with traditional storage devices, cloud storage is not only a hardware, but a complex system composed of multiple components such as network devices, storage devices, servers, application software, public access interfaces, access networks, and client programs. Each part takes the storage device as the core and provides data storage and service access services externally through application software.
Cloud storage is a new concept that has been extended and developed in the concept of cloud computing. It refers to the adoption of cluster applications, grid technologies, or distributed file system functions to transfer a large number of different types of storage devices in a network through application software collections. A system that works together to provide external data storage and service access capabilities. This is a highly tempting storage technology. Cloud storage can achieve full virtualization of storage, greatly simplify the application process, save customers' construction costs, and provide stronger storage and sharing capabilities. When the core of cloud computing system operation and processing is the storage and management of large amounts of data, a large number of storage devices need to be configured in the cloud computing system. Then the cloud computing system is transformed into a cloud storage system, so cloud storage is a data storage system. And management-centric cloud computing systems. The core of cloud storage is the combination of application software and storage devices, and application software is used to transform storage devices into storage services.
Video surveillance cloud storage solutions surfaced Cloud storage has become a trend for future storage development. Currently, cloud storage vendors are integrating various types of search, application technologies, and cloud storage to provide enterprises with a range of data services. However, the development trend of cloud storage in the future mainly depends on the development of security, portability, and data access.
At the end of last year, Intel and Beijing East Net Power Technology Co., Ltd. reached a consensus of cooperation. Intel, through funding and technology support, helped Orient to develop and optimize a new generation of NVR and PVG video surveillance management platforms and cloud storage products and solutions based on Intel Xeon and Atom platforms, from terminal devices to servers and cloud storage. The application of innovative capabilities. Coincidentally, as the leading company in the field of storage, Inspur Technology has comprehensively improved the competitiveness of its own product lines and achieved a three-in-one, three-dimensional product development model. It has successively launched its AS1200 solution product, the next-generation 8Gb fiber architecture platform AS2000, and cloud storage platform products. AS3000 and AS8000 and many other independent research and development products.
Zhu Bing, technical director of the H3C Storage and Multimedia Division's product department, said that the IMOS multimedia application platform released by H3C is actually a very good cloud technology application platform. Because IMOS supports multimedia applications such as video surveillance and videoconferencing, it integrates software middleware, database, and operating system technologies, including audio and video serialization hardware products, multimedia communication software platforms, and open convergence and cooperation value-added services.
On the basis of the IMOS platform, there is an IMS storage architecture, from the central storage to the front-end storage or even the integration of the network-side storage, and has been following an open attitude to achieve cloud storage.
With the trend of combination of security monitoring technology and user needs becoming more and more obvious, in the integration process of security monitoring products, storage technology must continue to adapt to the security monitoring application characteristics, and constantly improve themselves, the integration of storage products and security monitoring technology has become a trend . The monitoring of cloud storage systems is the result of the integration of storage and monitoring. It is believed that it will gain market recognition.
Intelligent Video Analysis Technology to Identify Massive Information Intelligent video analysis technology has been recognized in China's security monitoring field. The industry generally believes that intelligent video analysis technology represents the future of video surveillance industry. Looking at the current intelligent video surveillance industry, we can see that various domestic manufacturers are launching their own intelligent video surveillance products and application solutions, and the competition is fierce. With the advent of the era of high-definition, how to find the information you want from the vast amount of video surveillance data, and inquiries in a short time, which requires the help of intelligent analysis technology.
It is understood that after high-definition video has undergone different encoding processes, it has different requirements depending on the code rate. The general code rate is between 6-20Mb, and the compression efficiency and compression method are different. The final file size obtained is about 3-10GB/hour. Therefore, the requirement for large storage capacity has arisen. Current 720P HD video camera data information hourly video recording can be compressed to about 3GB capacity, but due to the collection of high-definition video, and the general monitoring system is hundreds or even thousands of roads, so this application will need more More storage devices and greater storage capacity. We can use this as an example to calculate an account: Calculated according to the saving time of one month, 3GB/hour × 24 hours × 30 days × 1 = 2.16T, a surveillance system with 500 HD video cameras that needs to be stored for 30 days The minimum required storage capacity is 1PB. Such a large amount of data capacity places very stringent requirements on storage.
Because the amount of data for video surveillance is very large, and the information that the user really needs is only a small part, or that only those events that need to be monitored are of low probability, how to obtain valuable information through massive data will be intelligent video. Analytical technology is showing its opportunities. It is important for users because it can turn video surveillance from static, post-forensics to dynamic, real-time prevention and alerting. With the development of technology, an intelligent monitoring system will require the identification and correct judgment before the incident to provide people with the most effective and timely rapid response measures.
Future: When the two giants of cloud computing and the Internet of Things join hands in security talks about the future security and cloud computing, we must look at its relevance to another giant, the Internet of Things. In such a society in which objects are connected, a large amount of data will be generated. In particular, a large number of fast calculations are needed. The efficient computing mode brought by cloud computing can provide a good application foundation for it. The Internet of Things is a very good field that combines intelligent terminals and cloud computing. Only intelligent terminals and cloud computing are skillfully seamlessly combined, and information in the physical world and the data world are perfectly linked.
Against such a backdrop, if security needs to advance with the times, it must grasp the opportunities for common development with the two giants of the Internet of Things and cloud computing. With the advent of the era of security HD, massive video data will be on the platform of the Internet of Things, intelligent identification and analysis through cloud computing, allowing users to quickly and efficiently grasp the effective information, change passive monitoring into active monitoring, to build A high-standard security system.
What impact will such an IT product have on the security industry? Experts in the industry analyze cloud computing networks, cloud storage, cloud computing, and even cloud construction models. With the development of networked video surveillance, the amount of video data that needs to be stored and managed has become increasingly massive. NSA/SAN (networked storage), cloud storage, and virtual information center technologies have great application prospects in the security monitoring industry. . After the advent of the high-definition and intelligent era, the security industry is faced with the challenge of how to store massive amounts of video data. Using cloud computing technology, it is believed that valuable image information for users can be found in the massive video data.
The composition and characteristics of cloud computing Essentially speaking, cloud computing is a change in the IT model. This change makes the degree of professionalism in the IT infrastructure constantly concentrated and improved, thus putting higher requirements on the infrastructure. As shown in Figure 1, cloud computing focuses on high performance, virtualization, dynamics, scalability, flexibility, and high security, simplifies IT management for users, improves IT operational efficiency, and significantly reduces costs. The infrastructure of cloud computing is mainly composed of computing, network, and storage. To meet the above requirements of cloud computing, each infrastructure level has its own requirements. As shown in Figure 2, for the server, cloud computing requires it to support more intensive computing capabilities (current multi-core multi-core architecture), full virtualization capabilities (CPU instruction virtualization, software virtualization, bridge virtualization, IO virtualization ) Integration of multiple IOs (data access and storage)—CEE and FCOE; for the network, 100G-oriented performance becomes the basic support platform for cloud computing, and a more flat, highly scalable architecture is built to meet the virtual machine computing environment. Large-scale Layer 2 loopless networks, unified exchange of COE/DCE, and L2-L7 deep-secured (10GE-class performance) security integration; for storage, high-speed IO will be oriented to 10G/16G, highly-extending virtualized mass storage, and unified Exchange IO integrated FCOE.
Some people say that this year is the first year of cloud computing. After three years of precipitation, the characteristics of cloud computing come to the fore. When we learn what cloud computing is, we also need to grasp its characteristics in order to be able to seat itself in specific applications. The most prominent features of cloud computing are high reliability, high scalability, outstanding generality, large scale, no need for capital investment, rapid product development cycle, and so on.
"Cloud" uses data multi-copy fault tolerance and compute node isomorphism interchangeability measures to ensure the high reliability of services. It is more reliable to use cloud computing than to use local computers. Cloud computing allows users to access application services at any location and using various terminals. Cloud computing does not target specific applications. Under the support of "cloud", it is possible to construct ever-changing applications. The same "cloud" can support different applications at the same time. The application runs somewhere in the cloud, but in reality the user does not need to know or worry about the specific location of the application. In addition, the scale of the "cloud" can be dynamically scaled to meet the needs of applications and user scale growth.
"Cloud" how to store massive amounts of video surveillance data As we all know, video surveillance systems generally have many characteristics such as multiple monitoring points, large video data streams, long storage time, and continuous 24-hour operation. The storage device used in the video surveillance system has different characteristics from other types of systems in terms of data reading and writing.
Security monitoring technology has experienced three stages of simulation, digitization and networking today. In keeping with this, monitoring data storage has also gone through multiple stages: from initial VCR analog data storage to DVR digital data storage, to now centralized network storage and SAN storage technologies, and recently emerging cloud storage technologies. NAS uses disk arrays and network architectures to provide a large amount of storage capacity. The SAN cooperates with the monitoring and management platform to provide more storage space. It has the advantages of easy storage space expansion, flexible addressing, long-distance data transmission, and high utilization of storage devices. It is especially suitable for large centralized network monitoring systems. IP SAN is considered as the next hotspot in the video surveillance storage market. DVRs coexist with other storage methods for a long period of time.
The video surveillance system has a huge amount of image information and the required storage capacity is considerable, requiring sufficient storage space. As one of the main back-end equipments of video surveillance systems, system storage devices should be able to collect and manage front-end collected and compressed data through centralized or decentralized networks and meet the needs of video surveillance mass storage. With the continuous increase of large-scale monitoring projects, how to store massive amounts of video surveillance data has become the focus of attention in the industry. As a result, cloud storage surfaced. Compared with traditional storage devices, cloud storage is not only a hardware, but a complex system composed of multiple components such as network devices, storage devices, servers, application software, public access interfaces, access networks, and client programs. Each part takes the storage device as the core and provides data storage and service access services externally through application software.
Cloud storage is a new concept that has been extended and developed in the concept of cloud computing. It refers to the adoption of cluster applications, grid technologies, or distributed file system functions to transfer a large number of different types of storage devices in a network through application software collections. A system that works together to provide external data storage and service access capabilities. This is a highly tempting storage technology. Cloud storage can achieve full virtualization of storage, greatly simplify the application process, save customers' construction costs, and provide stronger storage and sharing capabilities. When the core of cloud computing system operation and processing is the storage and management of large amounts of data, a large number of storage devices need to be configured in the cloud computing system. Then the cloud computing system is transformed into a cloud storage system, so cloud storage is a data storage system. And management-centric cloud computing systems. The core of cloud storage is the combination of application software and storage devices, and application software is used to transform storage devices into storage services.
Video surveillance cloud storage solutions surfaced Cloud storage has become a trend for future storage development. Currently, cloud storage vendors are integrating various types of search, application technologies, and cloud storage to provide enterprises with a range of data services. However, the development trend of cloud storage in the future mainly depends on the development of security, portability, and data access.
At the end of last year, Intel and Beijing East Net Power Technology Co., Ltd. reached a consensus of cooperation. Intel, through funding and technology support, helped Orient to develop and optimize a new generation of NVR and PVG video surveillance management platforms and cloud storage products and solutions based on Intel Xeon and Atom platforms, from terminal devices to servers and cloud storage. The application of innovative capabilities. Coincidentally, as the leading company in the field of storage, Inspur Technology has comprehensively improved the competitiveness of its own product lines and achieved a three-in-one, three-dimensional product development model. It has successively launched its AS1200 solution product, the next-generation 8Gb fiber architecture platform AS2000, and cloud storage platform products. AS3000 and AS8000 and many other independent research and development products.
Zhu Bing, technical director of the H3C Storage and Multimedia Division's product department, said that the IMOS multimedia application platform released by H3C is actually a very good cloud technology application platform. Because IMOS supports multimedia applications such as video surveillance and videoconferencing, it integrates software middleware, database, and operating system technologies, including audio and video serialization hardware products, multimedia communication software platforms, and open convergence and cooperation value-added services.
On the basis of the IMOS platform, there is an IMS storage architecture, from the central storage to the front-end storage or even the integration of the network-side storage, and has been following an open attitude to achieve cloud storage.
With the trend of combination of security monitoring technology and user needs becoming more and more obvious, in the integration process of security monitoring products, storage technology must continue to adapt to the security monitoring application characteristics, and constantly improve themselves, the integration of storage products and security monitoring technology has become a trend . The monitoring of cloud storage systems is the result of the integration of storage and monitoring. It is believed that it will gain market recognition.
Intelligent Video Analysis Technology to Identify Massive Information Intelligent video analysis technology has been recognized in China's security monitoring field. The industry generally believes that intelligent video analysis technology represents the future of video surveillance industry. Looking at the current intelligent video surveillance industry, we can see that various domestic manufacturers are launching their own intelligent video surveillance products and application solutions, and the competition is fierce. With the advent of the era of high-definition, how to find the information you want from the vast amount of video surveillance data, and inquiries in a short time, which requires the help of intelligent analysis technology.
It is understood that after high-definition video has undergone different encoding processes, it has different requirements depending on the code rate. The general code rate is between 6-20Mb, and the compression efficiency and compression method are different. The final file size obtained is about 3-10GB/hour. Therefore, the requirement for large storage capacity has arisen. Current 720P HD video camera data information hourly video recording can be compressed to about 3GB capacity, but due to the collection of high-definition video, and the general monitoring system is hundreds or even thousands of roads, so this application will need more More storage devices and greater storage capacity. We can use this as an example to calculate an account: Calculated according to the saving time of one month, 3GB/hour × 24 hours × 30 days × 1 = 2.16T, a surveillance system with 500 HD video cameras that needs to be stored for 30 days The minimum required storage capacity is 1PB. Such a large amount of data capacity places very stringent requirements on storage.
Because the amount of data for video surveillance is very large, and the information that the user really needs is only a small part, or that only those events that need to be monitored are of low probability, how to obtain valuable information through massive data will be intelligent video. Analytical technology is showing its opportunities. It is important for users because it can turn video surveillance from static, post-forensics to dynamic, real-time prevention and alerting. With the development of technology, an intelligent monitoring system will require the identification and correct judgment before the incident to provide people with the most effective and timely rapid response measures.
Future: When the two giants of cloud computing and the Internet of Things join hands in security talks about the future security and cloud computing, we must look at its relevance to another giant, the Internet of Things. In such a society in which objects are connected, a large amount of data will be generated. In particular, a large number of fast calculations are needed. The efficient computing mode brought by cloud computing can provide a good application foundation for it. The Internet of Things is a very good field that combines intelligent terminals and cloud computing. Only intelligent terminals and cloud computing are skillfully seamlessly combined, and information in the physical world and the data world are perfectly linked.
Against such a backdrop, if security needs to advance with the times, it must grasp the opportunities for common development with the two giants of the Internet of Things and cloud computing. With the advent of the era of security HD, massive video data will be on the platform of the Internet of Things, intelligent identification and analysis through cloud computing, allowing users to quickly and efficiently grasp the effective information, change passive monitoring into active monitoring, to build A high-standard security system.
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