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  • Future trends in cloud computing-based network monitoring

        The greatest technological revolution, that is cloud computing technology in recent years in the IT field. Based on cloud computing architecture and implementation of this new technology IT services, IT infrastructure will be virtualized, only according to the needs of users through the Internet to provide the required software, data storage, cloud computing language is: SaaS, Software as a Service, PaaS, Platform as a Service, IaaS, Infrastructure as a Service.
        Cloud computing technology will have a IP video monitoring applications, to revolutionize the video as a service VSaaS. For users, this will greatly reduce the enormous pressure of the user to learn the IT technology, the other back-end storage devices such as the user will no longer be seen, so to avoid the need to hand the huge investment in equipment maintenance.
        We all know, real-time video is video surveillance of the main features to meet the cost of this feature is the high demand on network bandwidth and storage. With network technologies such as EPON, GPON FTTH, FTTB and FTTH network for rapid deployment of 3G, 4G of LTE, WIFI and other wireless broadband technologies, applications, and coding compression techniques, optimization, bandwidth issues will no longer be the main problem. The cloud-based storage solutions will provide users with massive storage services. Virtualization, load balancing, and grid computing technology in the back-end deployment will greatly solve the problems of storage.
        Currently, the IP video monitoring based on cloud computing architecture, deployment, product management, security, operations has matured, especially in Europe and the United States and other countries is growing at a speed of 20-30% per year. Domestic manufacturers have begun to be deployed in some areas based on cloud computing architecture for IP video monitoring products. The cloud computing architecture network video surveillance in the current "private cloud" with China Telecom, China Mobile and China Unicom in the Green City, Digital City and intellectual investment in the city, the video surveillance of public cloud "will also be gradually into civilian security, such as small and medium-sized enterprises, chain enterprises and individual users.
        In addition, although the intelligence is one of the trends in video surveillance, intelligence analysis has been the development of hot spots, but never a good reason for this is the lack of a good basis for the calculation, such as network cameras, NVR´s CPU technology capabilities, such as. And cloud-based video analysis will provide the best platform and computing power.
        Only through the clouds on the video content analysis, the user can only with the huge virtual computing power to analyze vast amounts of information, such as the human face to statistics, counting, intelligent feature-based search functions. This application has also been called architecture as a Service IaaS (Infrastructure as a Service), this is also IaaS in the field of IP video monitoring applications. In the the IaaS above, cloud-based computing architecture network video surveillance can provide users with easy to extend the massive storage space and limitless computing power.
        Cloud computing provides the technical capability to achieve the user terminal network cameras plug and play, with the demand must be configured VSaaS function. According to the configuration storage space based on the user´s own needs, video programs, as well as mobile applications, truly take anywhere, any time random access.
        Obviously, the network of convenience bound to the video data security requirements. To achieve data security service (PaaS), Cloud computing platform security features will be more perfect, in particular, can make up the loopholes in the current IP cameras monitoring almost undefended. Can use IPSec at the network layer or transport layer using TLS secure, encrypted transmission of data using S / MIME mechanism for end-to-end encryption at the application layer transfer process using RSA to encrypt the dialogue, and transfer the contents of the can The DES, 3DES, AES encryption algorithm.
        The data storage can be used the 3DES, AES or SM1 and other algorithms for encryption. For example, with the party launched a series of security encryption cameras went a step further, the use of supports 128 SM1, SM2, the DES/3DES symmetric encryption algorithm, the transfer process using 1024-bit RSA algorithm, support the PKCSII standard PADDING way. The signature algorithm supports 1024-bit RSA algorithm, hash algorithm HASH including SHA-1, MD5, SCH, to ensure data security.

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