Dynamic memory releasing method

Abstract

The invention provides a dynamic memory releasing method used for dynamically releasing memory used in a temporary file generated when a user logs in to a server. The dynamic memory releasing method comprises the step of recording the user log-in time, namely, the time when the user logs in to the server is recorded; the step of allocating memory space, namely, the memory space is allocated for the log-in user; the step of generating the temporary file, namely, the corresponding temporary file is generated when the user operates the file; the step of recording the temporary file generating time, namely, the generating time of the temporary file when the user logs out the server is recorded; the step of comparing the generating time of the temporary file, namely, the generating time of the temporary file and the time when all current on-line users log in to the server are compared; the step of releasing the memory space of the temporary file, namely, when the generating time of the temporary time is earlier than the log-in time of all the current on-line users, the memory space of the temporary file is released. By means of the method, the memory space of the temporary file generated when the users log out the server can be dynamically and accurately released, and the memory using rate is greatly improved.

Description

technical field [0001] The invention relates to a dynamic memory release method, in particular to a dynamic memory release method in a cloud computing server. Background technique [0002] As we all know, virtual devices such as cloud computing are more prone to memory fragmentation than traditional personal computers. The reason is that during the process of multiple users logging in to the device, a temporary dynamic user login space will be generated for each user, and a corresponding temporary resource area will be allocated to each user. When the user logs out, the data will be classified again. Organize and write temporary data to permanent hard disk for preservation. Therefore, for cloud computing servers that are online for a long time, it is very important to clean up and recycle temporary memory in time. When users go online and offline, memory fragments will be generated, and these memory fragments cannot be deleted. This is because when allocating memory, the s...

AI Technical Summary

Problems solved by technology

Therefore, for cloud computing servers that are online for a long time, it is very important to clean up and recycle temporary memory in time. When users go online and offline, memory fragments will be generated, and these memory fragments cannot be deleted.

This is because, when allocating memory, the system cannot identify which user the memory is allocated to, so when the user goes offline, it can only release the user's fixed resources, and because it cannot be determined which user operated, the file The temporary resource of could not be freed

Although these temporary fragments are very small, if accumulated for a long time, it will lead to more and more memory occupied by temporary data, and even cause the device to alarm after the memory is used up.

[0003] In the prior art, in view of the above problems, since the size of memory fragments is very small, the continuous increase of fragments cannot be controlled, so the problem can only be avoided by restarting the device, or using two servers for switching maintenance, which will cause users to purchase Increased cost of equipment

No matter which solution, it does not substantially solve the problem of cleaning and recycling the temporary memory of the device

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