Cloud Computing

Storage systems suitable for massive data are developing rapidly with the emergence of large-scale and super-large-scale data centers. The distributed storage technology abstracts storage resources of multiple servers into a resource pool. It requires that the storage resources be centrally managed to ensure data security and reliability. It implements user data redundancy on a large number of low-cost servers, and provides excellent data redundancy functions and high-performance storage services using distributed storage technology.

Cloud computing data centers take into account the requirements of green energy conservation, stability, and efficiency when solving the problems of rapid and efficient capacity expansion and deployment in a short time. A container data center is a product that not only incorporates the concept of cloud computing but also enables enterprises to build their own data centers quickly. Numerous well-known cloud providers worldwide have begun to develop and deploy large-scale green container data centers. In addition, the research and development of low-power servers and chips are also an important technical development direction.

The virtualization technology realized by pure software has an obvious performance loss. With the development of virtualization technology, the virtualization technology of software and hardware collaboration is maturing. The management processes, virtual switches, and virtual storage gateways of cloud platforms are separated from operating system processes, so that these processes can run on specially designed server boards, which can be programmed to maintain the advantages of virtualization and reduce the loss of virtualization significantly.

In a data center, there are many risks associated with inadequate security deployment. Incorrect configuration, unreasonable use of technology, and other factors will cause applications to be exposed on the network and attacked. Cloud security technology is an effective way to ensure the security of cloud computing services. It addresses issues including cloud infrastructure security, data security, authentication and access management security, and audit compliance. Therefore, comprehensive cloud computing security measures shall be determined based on cloud computing characteristics and user requirements.

As the operation and maintenance (O&M) continues to sink, applications concentrate increasingly on the development and operation of service capabilities. Cloud native technologies help organizations build and run flexible and scalable applications in new dynamic environments such as public clouds, private clouds, and hybrid clouds. These technologies build a loosely coupled system with good fault tolerance, easy management, and easy observation. It is a method of building and running applications that automates and incorporates key technologies such as DevOps, continuous deployment, microservices, and containers.

Extensive service agreements are clearly insufficient to persuade users to run their critical services on the cloud computing platform. Users require service quality agreements that put them at ease. Meticulous service quality is an inevitable trend. Efficient work load monitoring based on cloud computing should detect warning signs before performance issues arise, so as to nip them in the bud and provide cloud computing operation details in real time.