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2025-03-01 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Servers >
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Today, I will talk to you about how to solve the problem of Cloud Virtual Machine full. Many people may not know much about it. In order to let you know more, Xiaobian summarizes the following contents for you. I hope you can gain something according to this article.
When people buy a Cloud Virtual Machine, they demand that the server not only meet normal workload requirements, but also maintain high throughput during peak periods. However, under heavy load, the performance of servers is often lower than people expect.
There are two types of server overload:
1. One is instantaneous overload, that is, temporary and short-term overload of the server, which is mainly caused by the characteristics of the server load. A large number of studies show that the network traffic distribution of Web requests is self-similar, that is, the traffic of Web requests can vary significantly in a large range.
This causes servers to be overloaded for short periods of time, but usually for short periods of time.
2. The other is a server overload for a long time, which is usually caused by a special event, such as a denial of service attack or a "livelock" phenomenon.
The first case of server overload is inevitable, but the second case can be improved by improving the Cloud Virtual Machine. Putting aside malicious ddos attacks, careful analysis of the process of server processing packets can be found that the root cause of system performance degradation under overload is unfair preemption of CPU in the high priority processing stage.
Therefore, if the CPU occupancy rate of the high-priority processing stage is limited, or the number of CPUs processing high priority is limited, the packet receiving livelock phenomenon can be reduced or eliminated. Or directly upgrade the configuration and resources of the Cloud Virtual Machine, because cloud computing resources can be adjusted at any time due to Auto Scaling.
After reading the above content, do you have any further understanding of how to solve the problem when the Cloud Virtual Machine is full? If you still want to know more knowledge or related content, please pay attention to the industry information channel, thank you for your support.
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