云计算未来分析(云计算对未来的发展和影响)

Trend 1: From the perspective of deployment model, hybrid cloud that integrates central cloud and edge cloud, public cloud and private cloud capabilities will better adapt to the diversified IT needs of governments and enterprises
Trend 2 : From the perspective of industry platforms, industry clouds with scenario attributes, especially industry cloud platforms that are easy for the country to coordinate, will be built on a large scale
Trend 3: From the perspective of manufacturing scenario applications, accelerate the cloud migration of manufacturing equipment and services System migration to the cloud has become an important measure for the digital transformation of the manufacturing industry
Trend 4: From the perspective of enterprise types, real economy enterprises, especially large group enterprises, will become the main force in "cloud migration"
Trend 5 : From the perspective of system platform, the compatibility and adaptability of cloud platforms have become standard, further promoting the reconstruction of IT infrastructure and self-built IT ecology
Trend 6: From the perspective of technology integration, cloud computing and digital twins, machines The cross-integration of digital technologies such as learning and blockchain further enhances value
Trend 7: From the perspective of cloud security, a protection system based on zero trust can provide reliable guarantee for cloud security
Trend 8: From the perspective of cloud security From the perspective of services, the cloud with high performance and low latency is the best platform to carry new business formats such as video and Yuan Universe
Trend 9: From the perspective of open source, open source reshapes cloud operating system software to help PaaS and SaaS layers Collaborative development and innovation of the industrial chain
Trend 10: From the perspective of infrastructure, the transformation of "green and low-carbon + resource cloudization" data centers is imperative

Cloud computing has huge room for development. Cloud computing, the Internet of Things, and big data, as representative technologies of the third wave of informatization, have developed rapidly in recent years, and cloud computing has now been implemented. Nowadays, a large number of Internet services are cloud-based, and services surrounding cloud computing are gradually improving. In the future, more Internet services will be migrated to the cloud, so the development space of cloud computing will be huge in the future.
Cloud computing takes service as its core and requires a large number of technical talents. The core of cloud computing is service. Simply put, cloud computing provides users with cheap computing resources through the Internet, so all cloud computing operations revolve around services. The service field of cloud computing will release a large number of jobs, so for cloud computing professionals, the future employment situation is relatively optimistic.
Cloud computing is the foundation of big data and artificial intelligence. Cloud computing is closely related to big data. It can be said that without big data, there would be no cloud computing. Distributed storage and distributed computing in cloud computing are also the core technologies of big data. With the development of big data, cloud computing will surely receive further attention, and cloud computing is also one of the important foundations of artificial intelligence. The future intelligent society will definitely be inseparable from cloud computing.

As for the future development of cloud computing, we believe that it can be considered from two aspects: software and hardware, so as to be open to thinking about the possibilities from more perspectives.
From a hardware perspective, in recent years, the country has proposed important computing power infrastructure strategies such as "digital computing in the east and computing in the west". One of its goals is to use cloud computing as an important basic resource for society and people's livelihood, and to support it with bottom-level consolidation. Development of upper-layer applications. Therefore, the conceivable future is that cloud computing server farms will be more densely distributed across the country, thus forming a general pattern of national load balancing and computing power adjustment. The support of super computing power will provide a strong guarantee for the development of local economies; On the other hand, the computing power architecture that focuses on the cloud takes into account business scenarios, bandwidth impact and other related factors. With the improvement of the computing power of localized equipment chips, edge computing has increasingly entered the industry's horizons and undertaken more processes locally. tasks, thereby sharing the computing power pressure, and ultimately achieving a more complete encapsulation of the scene.
From a software perspective, computing power support is like water, which can be used as a sea, a lake, a pool, or a stream. It needs different support according to different scenarios. For example, in the existing head-mounted entertainment industry, the dizziness that often occurs in wireless connections is due to the lag in the transmission of VR content images, resulting in a low rendering frame rate, which is misaligned with the instinctive system of the human brain. , and through the support of greater computing power to ensure clearer and higher frame rate picture rendering, it can be beneficial to promote the development of the overall VR entertainment industry through content improvement.
In the specific industrial practice process, a large number of existing digital systems only present target scenes with three-dimensional and highly realistic effects, and integrate so-called live data to a certain extent, but most of them only provide information such as live video streams. Simple feedback, and the true meaning of digitalization is to provide a liberalized platform that allows different data to be integrated and cross-analyzed, thereby extracting value to assist decision-making and rapid response. For example, in asset management systems, through the integration and integration of surrounding terrain data The integration of complete BIM data of the target building can first present the on-site pattern, and then extract data such as stress analysis of the BIM structure through on-site IOT data collection, so as to understand the potential impact of changes in the external environment on the target assets. , and the relevant data can also be compared with the accumulated historical data in the past, and artificial intelligence can be used to form a path for comparing historical theoretical estimates and actual situations, ultimately providing reference for decision-making and improving solutions.