Cloud monitoring industry in hand IT and security

The core of cloud security is the cloud platform, which is a technology based on the Internet of Things and adopts cloud storage technology to meet the needs of modern security. Many companies have invested a lot of resources to improve and maintain the security and stability of the system, especially for monitoring video data, cloud computing can meet all the needs of users.

Cloud Monitoring Extensibility Applications In addition to the security of cloud monitoring, cloud computing has another big advantage - scalability. Objectively speaking, the concept of cloud is just another metaphor of the Internet. Cloud technology is a value-added service based on network services. With the help of the cloud platform, video surveillance, alarms, access control, and GPS positioning can be unified and 24-hour seamless remote monitoring can be achieved.

The advantage of cloud computing lies in its good “elasticity”, which is the service requirement that can provide accurate metering and storage. The cloud computing video surveillance solution can not only support one or thousands of monitoring probes or servers, but also solve the cost problem. Considering the cloud monitoring application, it is different from the ordinary monitoring system configuration. Adding a surveillance camera does not require any cost. However, in the actual environment, multiple monitoring applications will put a lot of pressure on the network bandwidth and back-end storage.

The emergence of cloud monitoring and match-making IT and security cloud technology has changed the traditional security video surveillance model and realized the network monitoring with the concept of “cloud”. Cloud computing not only makes mass storage monitoring possible, but also makes massive video data mining a reality. Although cloud applications have many advantages in the field of security, the integration of IT and security represented by cloud still encounters a lot of adjustments.

◇ Bandwidth The video surveillance system based on the cloud concept still faces no difficulties in bandwidth transmission. Cloud monitoring focuses on the transmission of massive amounts of video data over different networks. When the bandwidth is not enough, the cloud monitoring function cannot be played. Network bandwidth is your channel for accessing information from the Internet, and this channel is an important way to get video information from the “cloud” side. Of course, the normal download speed and monitoring upload speed are not the same. As an example, a small retail store with 5 HD cameras needs 10 Mbps bandwidth to obtain a real-time HD video cloud. Obviously, ordinary households' ADSL can hardly satisfy this bandwidth. Public network applications can only be deployed after it is impracticable, but the price is high. It's amazing. Some security companies provide leasing services to provide online high-definition video to third-party and "hybrid cloud" models. Similarly, there are also small-resolution cloud storage solutions that help compensate for the lack of bandwidth.

â—‡ Video Data Management Cloud storage allows video to use a lot of bandwidth, and the subsequent problem is the massive data storage problem. Most surveillance storage solutions envisage local storage. Still using the above monitoring solution as an example, 1TB is required to be stored in one month, and users spend more than a thousand dollars to purchase a 1TB hard disk. But you should also pay attention to its hidden costs, including data transmission costs, data redundancy costs, or the most basic real-time monitoring of electricity costs. To solve the hidden costs, users have to reduce the resolution and storage requirements, and even worse, the video effects are reduced. Security cloud monitoring solutions make storage easier, and hybrid cloud solutions can store high-definition video remotely, which is far better than local storage.

â—‡ Monitor real-time performance When monitoring content involves security and financial management, it is important to achieve zero-second delay monitoring. People's understanding of real-time monitoring can be equivalent to the requirements of high-definition picture quality. Cloud video surveillance not only enables fast real-time access, but also guarantees quality. QQ and other public remote video tools will appear to delay, but also as a remote monitoring and management system, real-time monitoring not only requires a reliable network environment, the equipment software requirements are also particularly high.

â—‡ Monitoring and management do a good job of coordination Internet-based cloud monitoring has also changed the way companies and users communicate. A company manages thousands of devices for different users, and some monitoring distances are far away. It takes a lot of effort to manage a lot of monitoring devices. In particular, cameras that are used in different fields must ensure that they record their normal operational records and that their reports on system performance become the core of cloud monitoring solutions. In order to prevent these remote cameras, it is necessary to remotely upgrade these devices and eliminate other faults, which saves labor costs and makes monitoring and management more efficient.

Cloud-based services allow users to choose more solutions and service providers based on cloud storage must face cruel facts, if you can not win the trust of users, provide business-critical services and data, then users are likely to choose other home service providers. Without any hardware cost involved, it seems that all enterprises need to do is to ensure that surveillance cameras and encoders are in line with mainstream trends. Compression algorithms and transport protocols must refer to mainstream standards. In the integration of its own characteristics of business, to ensure that customers feel unique cloud monitoring services.

The cloud monitoring industry has a bright future Cloud computing brings enormous benefits to security. With the development of cloud computing and big data in recent years, the storage and intelligent analysis challenges in video surveillance services have been solved, and the role of technology promotion is very obvious. This is due to the increasing popularity of video surveillance in security, transportation, medical, and logistics applications. Massive video processing requires a corresponding storage and computing platform.

The three levels of the Internet of Things are sensor monitoring, network, and applications. In the future, video surveillance is an extremely important core node of the Internet of Things. The amount of video information is huge. With the expansion of the global eye scale and the development of high-definition, the massive transmission and storage needs will require more cloud storage, cloud computing, and cloud search technologies, as well as large-scale networking applications.

Through the development of big data processing technology, global video resources are handled as a basic big data video resource. Through the global eye platform, on the one hand, big data processing on video is realized, and on the other hand, the data after intelligent processing is processed. Comprehensive data services on the global eye platform. Finally, by using the Internet of Things technology, various applications can also be carried out. Cloud computing has always been developing in terms of security, digitalization, networking, and even intelligence. For the current development orientation, it is from a decentralized, non-networked technology to the integration of the network, the pattern of data centering. Therefore, cloud storage technology is still very advantageous in dealing with this change. For example, the peaceful city project that is very hot now has very high requirements for monitoring and networking. High-definition video, after undergoing different encoding processes, also generates very large storage requirements. This is undoubtedly a very big challenge to traditional storage methods.

In addition, cloud technology can also be very good for intelligent video analysis. Especially for such a large-scale monitoring system as Safe City. Simple manual analysis can no longer effectively monitor every detection point, so intelligent system analysis plays an irreplaceable role in this management. At present, the drawbacks of restricting the wide application of intelligent analysis are that, apart from the fact that intelligent video analysis technology is not mature enough, the inefficiency is also another major factor.

The wide application of video cloud services, big data, and cloud computing technologies can also play a significant role in traffic management, industry security, and other aspects. For the management of the back-end channel pressures and management pressures, cloud computing security can also provide Very important auxiliary role.