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Cloud storage leverages security in the era of big data
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Cloud storage leverages security in the era of big data

  • Categories:Industry News
  • Author:
  • Origin:
  • Time of issue:2017-03-03 08:00
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Cloud storage leverages security in the era of big data

(Summary description)Video surveillance is a typical data-dependent business, relying on data to speak. It can be said that there is a natural combination of big data and video surveillance services. The large capacity of big data can usually reach the PB-level data scale, so the requirements for the scalability of the massive data storage system will also be very high. If the camera for the construction of a safe city in China is calculated in units of 100 million, then video surveillance will be a big generator of data.

  • Categories:Industry News
  • Author:
  • Origin:
  • Time of issue:2017-03-03 08:00
  • Views:
Information

After more than 30 years of China's security, the industrial process continues in the technological evolution, thus evolving the imprint of the times. Obviously, the current Chinese security has entered the era of big data. As a result, there are endless topics related to this.

  The constraints faced by storage in the era of big data

  Video surveillance is a typical data-dependent business, relying on data to speak. It can be said that there is a natural combination of big data and video surveillance services. The large capacity of big data can usually reach the PB-level data scale, so the requirements for the scalability of the massive data storage system will also be very high. If the camera for the construction of a safe city in China is calculated in units of 100 million, then video surveillance will be a big generator of data. At the same time, there is a contradiction between the massive data of the camera front end and the effective data. The camera does not stop working and truthfully records everything that happens in the lens coverage, but most of the information is invalid for the customer, and the effective information may only be distributed. In a short period of time, a large amount of data storage brings a lot of pressure to the database, and invalid data is a waste of resources. From this point of view, storage in the era of big data has become a crucial issue that needs to be resolved. For example, at the beginning of 2015, the Nanjing police mobilized two thousand police forces in order to arrest a fugitive suspect. Because all the cameras were not connected to the Internet, they could only bypass various communities, police stations, and buildings to copy data. At that time, the entire Nanjing city could buy Almost all of the storage equipment received was bought out by the police. This case shows that the first data needs to be connected to the Internet, the second largest data must be stored, and the third largest data must be analyzed and mined to be valuable.

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Big data must be stored well, which simply illustrates the importance of storage in the era of security big data. Generally speaking, monitoring storage in the era of big data faces several constraints.

  How to store huge amount of information. Monitoring data is written in 7x24 hours, and the storage time ranges from 7 days, 15 days, 30 days or even longer. The amount of data increases linearly with time. Faced with the demand for massive storage, the traditional storage industry and the monitoring industry are really difficult to handle.

   The scalability of monitoring data storage, including how to meet the needs of higher resolution or more collection points for data collection, and how to meet the needs of longer data collection time.

   Performance requirements. Video surveillance is mainly the writing of video stream, and the characterization performance is how many streams can be supported by the storage. In the case of multiple concurrent writes, it has a great impact on bandwidth, data capacity, cache, etc., and puts a lot of pressure on storage. At this time, storage needs to be optimized specifically for video performance.

   Sensitive price. Mass storage in the security monitoring industry, due to the large total capacity, causes the total price and cost to rise. On the contrary, the requirements for unit capacity cost (price per TB) are very high.

   Space pressure and management difficulty. When a large number of high-definition videos began to emerge more and more, the storage requirements for the back-end also appeared a situation of rapid rise. Under such circumstances, the two to three times increase in data volume is destined to make traditional PC hard disks. Management, or local DVR, NVR mode brings unexpected pressure.

   The centralized management of stored data needs to be strengthened. When we analyze the overall construction of monitoring the entire system in the era of big data, we will expose factors such as the incompatibility of storage devices. Since large-scale monitoring systems are often constructed in phases, the equipment used in the construction process is not consistent, so the various brands and models of equipment in the actual project bring great difficulty to the centralized management of monitoring storage. At the same time, traditional DVR or DVS equipment, due to the limited network transmission capacity, is difficult to form a central system architecture of unified storage and unified monitoring, which makes it difficult to find storage data in the public security monitoring of enterprises, scheduling is not timely, and video storage is scattered. produce.

   How to break the game before being bound?

  Cloud storage meets the era of big data

Monitor the emergence of cloud storage, break through the performance and capacity bottlenecks of traditional storage methods, and meet the monitoring needs in the new era, enabling cloud storage providers to connect a large number of different types of storage devices in the network to form an exceptionally powerful storage capacity to achieve performance and capacity The linear expansion of data storage makes it possible to store massive amounts of data, allowing enterprises to have storage capacity equivalent to the entire cloud and successfully solve storage problems in the era of big data.

   The so-called "cloud model" is the visualized name of the data center model. After several years of development of the data center model in the IT field, the core idea is that the operation of information can be disassembled into segments, and the operation can be distributed through network connections, so that the entire operation process can be flexibly distributed locally and remotely. Nowadays, almost all large-scale IT systems have been data-centered, and the Internet itself further provides the most basic physical carrier for data centers. Cloud storage is a new concept extended and developed from the concept of cloud computing. It refers to the collection of a large number of different types of storage devices in the network through application software through functions such as cluster applications, grid technology or distributed file systems. Work together to provide a system for external data storage and business access functions. When the core of cloud computing system operation and processing is the storage and management of a large amount 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 as the core cloud computing system.

   When it comes to advanced storage technology, one has to talk about cloud storage. This is a very attractive storage technology. Cloud storage can realize full virtualization of storage, greatly simplify application links, save customer construction costs, and provide stronger storage and sharing functions. All devices in cloud storage are completely transparent to users, and any authorized user can connect to cloud storage through an access line to access space and data. Users do not need to care about the storage device model, quantity, network structure, storage protocol, application interface, etc., and the application is simple and transparent. For users, cloud storage does not refer to a specific device, but a collection composed of many storage devices and servers. Users use cloud storage not to use a certain storage device, but to use a data access service brought by the entire cloud storage system. So strictly speaking, cloud storage is not storage, but a service.

   The core of cloud storage is the combination of application software and storage devices, and the transformation from storage devices to storage services is realized through application software. Compared with traditional storage devices, cloud storage is not just a piece of hardware, but a complex system composed of multiple parts 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 business access services to the outside through application software. In addition, cloud storage is more of an application. Application storage is a storage device that integrates application software functions in storage devices. It not only has data storage functions, but also application software functions. It can be regarded as a collection of servers and storage devices. The development of application storage technology can greatly reduce the number of servers in cloud storage, thereby reducing system construction costs, reducing single points of failure and performance bottlenecks caused by servers in the system, reducing data transmission links, providing system performance and efficiency, and ensuring the efficiency of the entire system Stable operation.

   concluding remarks

   With the large-scale deployment of surveillance cameras in the era of big data, companies need to store a large number of video files, which seriously occupy the company's private storage space. This has created a demand for cloud storage in the video surveillance industry. Cloud storage can not only save the private storage space of enterprises and store video files in the cloud, in addition, centralized cloud storage is more convenient for cross-region video search. Not only cloud storage, but the current popular big data related technologies will also provide more technical support for the intelligent analysis of video data in the video surveillance industry.

   It can be said that cloud storage makes big data "small" and security becomes "big".

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