Analysis of common problems in real-time cloud rendering of deployment programs (1)

How much concurrency does a server have?

To determine how many concurrent connections a server can support, you can use the following simple and popular methods:

1. Professional:Use performance testing tools to simulate a large number of users sending requests to the server at the same time,and observe the response time and throughput of the server . If the response time increases significantly or the throughput is saturated, it means that the server's concurrency has reached the upper limit.

2. Simple:Observe the CPU and GPU utilization of the server. When the server handles a large number of requests, the load on the CPU and GPU increases. If their utilization is closer to around 80%, the server may support a higher number of concurrent connections. You can open several resource-intensive applications at the same time, increase server load, and monitor CPU and GPU utilization. If they are around 80% and the server performs well, then the server may support this many concurrent connections.

It should be noted that the amount of concurrency is also affected by application scenarios and user behavior. Different applications have different concurrency requirements. Therefore, in a real production environment, comprehensive performance testing is the best way to evaluate server concurrency.

What is the difference between cloud desktop and real-time cloud rendering?

The development of real-time cloud rendering technology provides support for the use of more large-scale programs, and is not limited to specific software such as UE4 and U3D. Under the Windows platform, almost all most programs can be streamed through real-time cloud rendering technology, providing a more efficient user experience.

Real-time cloud rendering has lower latency compared to traditional cloud desktops. Traditional cloud desktops are mainly used in lightweight application scenarios such as administrative offices and OA, such as office software such as Office. Real-time cloud rendering technology focuses on processing 3D scenes and heavy-duty applications, such as digital twins, smart factories and other application scenarios that require complex 3D visualization models.

Real-time cloud rendering supports the use of various large-scale software, such as Autodesk's products 3DsMAX, Maya, CAD, Revit, etc., Bently's MicroStation, and CATIA, etc. These large-scale software usually require powerful computing resources to run and render, and real-time cloud rendering technology can distribute these tasks to the cloud, and users can enjoy smoothness by simply accessing them through terminal devices usage experience.

Point real-time cloud rendering What is the difference between and pixel flow?

Pixel flow technology currently has some browser compatibility issues, such as WeChat in iOS and browsers in some Chrome versions, which may cause problems that cannot be opened. In addition, pixel flow is only a plug-in function of the engine. It only supports UE4 content and cannot support other software, such as 3D Max and Flash. In addition,there are still many mechanisms that need to be improved in terms of productization and services, such as the lack of load balancing, speed measurement and scheduling, automatic updates, publishing, background statistical reports, user status monitoring, and alarm functions. . In order to improve these functions, a lot of manpower and time need to be invested.

In contrast, point-volume real-time cloud rendering technology can support all types of content, including game engines such as UE4 and Unity, as well as other software such as 3D Max and Flash. Compared with pixel streaming, DotCloud streaming technology is more complete and has a variety of functions and services, such as load balancing, speed measurement and scheduling, automatic updates, publishing, background statistical reports, user status monitoring, and alarm mechanisms. Whose cloud rendering technology supports multiple client modes, such as Windows and Android, in addition to private protocols, which can achieve lower latency and more complete functions.

In addition,real-time cloud rendering technology also has a visual background management interface, which can quickly form content into a web page or exe. In contrast, the subsequent productization and service improvement of pixel streaming technology still require a lot of practice and exploration. Our Dianduo cloud streaming technology already has more detailed and complete functions and service systems, which can better Meet user needs.

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Origin blog.csdn.net/qq_45842932/article/details/134598118