Method for acquiring virtual machine memory working sets and memory optimization and allocation method

Abstract

The invention discloses a method for acquiring virtual machine memory working sets and a memory optimization and allocation method. The method for acquiring the virtual machine memory working sets comprises the first step of modifying a memory page access mechanism of a VMM, wherein the access permission of PTEs of all one-stage page tables of VMs is set into a system state; the second step of generating minor page failures into the VMM when one memory page is accessed by one VM, acquiring the virtual address of the page and the page table address of the page through the VMM and setting the PTE access permission of the page into a user state; the third step of recording the addresses of the pages accessed by the VMs to a corresponding LRU histogram used recently through the VMM, and drawing a failure rate curve to obtain the memory working sets WSS of all VMs; the fourth step of allocating memory for all VMs through the VMM according to WSS of the VMs and needs. By means of the method, the cost for acquiring the memory sets of VMs can be reduced, allocation according to needs and the memory of the VMs can be achieved, and the utilization rate of resources can be greatly improved.

Description

technical field [0001] The invention relates to a method for acquiring a virtual machine memory working set and a memory optimization allocation method, and belongs to the technical field of virtualization. technical background [0002] In the current common virtualization application, there is such a scenario: multiple virtual machines (Virtual Machine, VM) are managed on the same virtualization manager (Virtual Machine Monitor, VMM), and memory is shared between multiple VMs, etc. hardware resources. However, there are often multiple virtual machines running on a physical machine, and the memory of these virtual machines is usually statically set by the VMM (such as figure 1 shown). When a virtual machine is overloaded with memory, it has to swap some physical pages to disk, even if other virtual machines have free memory, resulting in a sharp drop in performance. In order to improve or avoid similar situations, the most suitable method is to allow the resource manager ...

AI Technical Summary

Problems solved by technology

However, because the program performance and the allocated memory size are not in a linear relationship, this method cannot predict how much the program performance will be affected when these inactive pages are reclaimed.

There is also a way to detect the working set of memory by monitoring disk I / O to infer the current memory pressure and calculate the size of the overloaded memory, but this can only predict the working set size of the application when the memory is overloaded, and is not applicable to the system. Situations where there is free memory, so no decision can be made about reclaiming excess memory

Images