CN115344353A - Method, system and equipment for hot expansion of memory in cloud platform virtual machine - Google Patents
Method, system and equipment for hot expansion of memory in cloud platform virtual machine Download PDFInfo
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- CN115344353A CN115344353A CN202211050077.0A CN202211050077A CN115344353A CN 115344353 A CN115344353 A CN 115344353A CN 202211050077 A CN202211050077 A CN 202211050077A CN 115344353 A CN115344353 A CN 115344353A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45583—Memory management, e.g. access or allocation
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention provides a method, a system and equipment for hot capacity expansion of memory in a cloud platform virtual machine, wherein the method comprises the steps of responding to a memory hot capacity expansion request of the virtual machine, and acquiring the capacity M to be expanded of the memory in the request and the number N of NUMA (non uniform memory access) nodes of the current virtual machine; respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacity and F of all the NUMA nodes; and distributing the capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of the virtual machine NUMA nodes and the residual memory capacity and F of all the NUMA nodes. After receiving the memory capacity expansion request of the virtual machine, the invention configures different capacity expansion capacities for the NUMA node of the virtual machine for the capacity to be expanded, the NUMA node number, the residual memory capacity of each NUMA node on the physical host and the residual memory capacity of all the NUMA nodes, adopts a flexible memory allocation method, and simultaneously ensures the success rate of memory thermal capacity expansion and the memory access performance to the maximum extent.
Description
Technical Field
The invention relates to the technical field of cloud platform resource allocation, in particular to a method, a system and equipment for hot memory expansion of a cloud platform virtual machine.
Background
In a virtualization scene, the memory thermal expansion can increase the running memory of the virtual machine on the premise of not interrupting the service of the virtual machine, and can ensure the continuity of the service to a great extent.
The Memory hot expansion depends on the number of NUMA nodes (Non-Uniform Memory Access Architecture) of the virtual machine and the current remaining Memory of the physical machine and the remaining Memory capacity on each numanide, and if the Memory is not finely managed, the problem of Memory over-distribution on the physical machine after the Memory is hot expanded may be caused, thereby bringing about hidden troubles to service stability. Taking the example that the virtual machine to be thermally expanded with the memory has two NUMA Nodes and the physical host in which the virtual machine is located also has two NUMA Nodes, if the memory of 64G needs to be thermally expanded, the currently disclosed implementation will uniformly hot plug the memory of 64G onto the two NUMA Nodes (i.e., each NUMA Node hot plug the memory of 32G).
Because most of the residual memory of each NUMA Node on the physical host is different, the implementation method for evenly distributing the memory to be increased can cause distribution failure when the physical memory is not much residual.
Disclosure of Invention
The invention provides a method, a system and equipment for hot memory expansion of a cloud platform virtual machine, which are used for solving the problem that the existing hot memory expansion mode easily causes unsuccessful allocation.
In order to realize the purpose, the invention adopts the following technical scheme:
the invention provides a method for hot memory expansion of a cloud platform virtual machine, which comprises the following steps:
responding to a memory hot capacity expansion request of the virtual machine, and acquiring the memory capacity M to be expanded and the number N of NUMA nodes of the current virtual machine in the request;
respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacities and F of all NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the NUMA node of the current virtual machine, and all NUMA nodes are composed of each NUMA node;
and distributing the capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of the virtual machine NUMA nodes and the residual memory capacity and F of all the NUMA nodes.
Further, after acquiring the memory capacity expansion request and before responding to the memory capacity expansion request, the method further includes a step of creating a resource lock for a physical host corresponding to the current virtual machine, and releasing the resource lock after the capacity expansion capacity is allocated to the current virtual machine memory.
Further, the capacity expansion rule specifically includes:
if the residual memory capacity sum F of all NUMA nodes is less than the capacity to be expanded of the memory, the memory allocation fails;
judging whether the residual memory capacity of each NUMA node of the physical host is larger than the value of M/N;
if yes, distributing M/N memory on each NUMA node of the virtual machine;
and if not, taking the ratio of the residual capacity of each NUMA node of the physical host to the residual memory capacity of all NUMA nodes and F as a weight, and allocating memory for the NUMA nodes of the corresponding virtual machine.
Further, the method further comprises the step of respectively storing the capacity of the NUMA node memory before capacity expansion and the capacity after capacity expansion in a first database and a second database.
Further, when the memory hot capacity expansion operation is carried out, the data difference value of the same NUMA node in the second database and the first database is used as the capacity expansion.
The second aspect of the present invention provides a system for thermal storage capacity expansion in a cloud platform virtual machine, where the system includes:
the request processing unit is used for responding to a memory hot capacity expansion request of the virtual machine and acquiring the memory capacity M to be expanded and the number N of NUMA nodes of the current virtual machine in the request;
the information acquisition unit is used for respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacities and F of all the NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the current NUMA node of the virtual machine, and all the NUMA nodes consist of each NUMA node;
and the capacity expansion analysis unit distributes capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of NUMA nodes of the virtual machine, and the residual memory capacities and F of all NUMA nodes.
The system further comprises a resource processing unit, wherein the resource processing unit is respectively connected with the request processing unit and the capacity expansion analysis unit, triggers the resource processing unit after receiving the memory capacity expansion request, creates a resource lock for a physical host corresponding to the current virtual machine, and releases the resource lock after the capacity expansion capacity is allocated to the memory of the current virtual machine.
Further, the expansion analysis unit includes:
the pre-analysis subunit is used for failing memory allocation if the residual memory capacity and F of all the NUMA nodes are less than the capacity to be expanded of the memory;
the judging subunit is used for judging whether the residual memory capacity of each NUMA node of the physical host is larger than the value of M/N;
the first allocation subunit is used for allocating the M/N memory on each NUMA node of the virtual machine when the judgment result is yes;
and the second allocation subunit is used for taking the ratio of the remaining capacity of each NUMA node of the physical host to the remaining memory capacity of all NUMA nodes and F as a weight and allocating the memory to the NUMA node of the corresponding virtual machine if the judgment result is negative.
The third aspect of the present invention provides a device for hot memory expansion in a cloud platform virtual machine, including a virtual machine and a physical host corresponding to the virtual machine, where the virtual machine and the physical host are respectively provided with NUMA nodes, and each NUMA node of the virtual machine corresponds to one NUMA node of the physical host, the device further includes the system, the system is deployed at a physical host end, and when the memory of the NUMA node of the virtual machine needs to be expanded, the physical host runs the system to execute expansion operation.
A third aspect of the invention provides a computer storage medium having stored thereon computer instructions which, when run on the system, cause the system to perform the steps of the method.
The device for performing thermal storage expansion in a cloud platform virtual machine according to the second aspect and the apparatus for performing thermal storage expansion in a cloud platform virtual machine according to the third aspect of the present invention can implement the methods in the first aspect and the implementation manners of the first aspect, and achieve the same effects.
The effects provided in the summary of the invention are only the effects of the embodiments, not all of the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
1. after receiving the memory capacity expansion request of the virtual machine, the invention allocates different capacity expansion capacities for the virtual machine NUMA node for the capacity to be expanded, the NUMA node number, the residual memory capacity of each NUMA node on the physical host and the residual memory capacity of all the NUMA nodes, adopts a flexible memory allocation method, and simultaneously ensures the success rate of memory thermal capacity expansion and the memory access performance to the maximum extent.
2. After receiving the content hot expansion request, a resource lock is created for the physical host, so that the problems that the memory is sufficient when the concurrent scene is checked due to the fact that the memory is split in the flow of the memory check and the actual hot-plug memory, but the memory is over-divided after the actual hot-plug memory, and the smooth completion of the memory allocation is further ensured.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of an embodiment of the method of the present invention;
FIG. 2 is a schematic flow chart diagram of one implementation of an embodiment of the method of the present invention;
FIG. 3 is a schematic block diagram of an embodiment of the system of the present invention;
fig. 4 is a schematic structural diagram of an embodiment of the apparatus of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, an embodiment of the present invention provides a method for thermal capacity expansion of a memory in a cloud platform virtual machine, including the following steps:
s1, responding to a memory hot capacity expansion request of a virtual machine, and acquiring a memory capacity M to be expanded and the number N of NUMA nodes of the current virtual machine in the request;
s2, respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacities and F of all NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the NUMA node of the current virtual machine, and all the NUMA nodes consist of each NUMA node;
and S3, distributing capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of the virtual machine NUMA nodes and the residual memory capacity and F of all the NUMA nodes.
In one implementation manner of the method embodiment of the present invention, in step S1, after acquiring the memory expansion request and before responding to the memory expansion request, the method further includes creating a resource lock for a physical host corresponding to the current virtual machine, and releasing the resource lock after allocating the expansion capacity to the memory of the current virtual machine in step S3.
Before step S1, the method includes the steps of checking and allocating the memory of the virtual machine: before thermal expansion, storing the memory condition of each NUMA Node of the virtual machine in a first database migration _ context _ old _ NUMA _ topology; further comprising initializing a temporary specification: and recording the difference value obtained by subtracting the original specification memory from the target specification memory as M, and recording the current NUMA node number of the virtual machine as N.
In step S3, the capacity expansion rule specifically includes:
if the residual memory of the physical host is less than M, failing to allocate the memory;
if the residual memory capacity sum F of all the NUMA nodes is less than the capacity to be expanded of the memory, the memory allocation fails;
judging whether the residual memory capacity of each NUMA node of the physical host is larger than the value of M/N;
if yes, distributing M/N memory on each NUMA node of the virtual machine;
and if not, taking the ratio of the remaining capacity of each NUMA node of the physical host to the remaining memory capacity of all NUMA nodes and F as a weight, and allocating memory for the NUMA nodes of the corresponding virtual machine.
And recording the memory condition after allocation in a second database migration _ context.
And when the memory hot capacity expansion operation is carried out, taking the data difference value of the same NUMA node in the second database and the first database as the capacity expansion.
As shown in fig. 2, locking the physical host resources, saving the initial resource state of the virtual machine, and initializing the temporary specification, including the memory specification and the number N of the current NUMA nodes of the virtual machine, and recording the difference between the target specification memory and the original specification memory in the middle of the memory specification as M; after receiving a content thermal expansion request, firstly judging whether the residual memory of the physical host is smaller than M, if so, failing to distribute, if not, judging whether the sum of the memories of NUMA nodes of the physical host corresponding to the virtual NUMA nodes in the thermal expansion request is smaller than M, if so, failing to distribute, if not, judging whether the residual memory of the NUMA nodes of the corresponding host is larger than M/N, if so, distributing M/N memory for each NUMA node of the virtual machine, if not, distributing hot-plug memory according to the weight of the residual memory of the NUMA nodes of the physical host occupying the residual total memory, after the distribution is completed, updating the memory distributed in a migration chain migration _ context, updating and calculating the memory use in a NUMA node computer _ nodes table, releasing a resource lock and ending the memory thermal expansion flow.
As shown in fig. 3, an embodiment of the present invention further provides a system for thermal capacity expansion of a cloud platform virtual machine memory, where the system includes a request processing unit 1, an information obtaining unit 2, a capacity expansion analysis unit 3, and a resource processing unit 4.
The method comprises the steps that a request processing unit 1 responds to a memory hot capacity expansion request of a virtual machine, and the memory capacity M to be expanded in the request and the number N of NUMA nodes of the current virtual machine are obtained; the information acquisition unit 2 respectively calculates the remaining memory capacity of each NUMA node on the physical host and the remaining memory capacities and F of all NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the NUMA node of the current virtual machine, and all the NUMA nodes consist of each NUMA node; and the capacity expansion analysis unit 3 allocates capacity expansion capacity to the current virtual machine memory according to a preset capacity expansion rule, the memory capacity to be expanded M, the number N of NUMA nodes of the virtual machine, and the residual memory capacities and F of all the NUMA nodes.
The resource processing unit 4 is respectively connected with the request processing unit and the capacity expansion analysis unit, triggers the resource processing unit after receiving the memory capacity expansion request, creates a resource lock for a physical host corresponding to the current virtual machine, and releases the resource lock after the capacity expansion capacity is distributed to the memory of the current virtual machine.
The expansion analysis unit 4 comprises a pre-analysis subunit, a judgment subunit, a first allocation subunit and a second allocation subunit:
the pre-analysis subunit analyzes whether the residual memory capacity and F of all the NUMA nodes are smaller than the capacity to be expanded of the memory, and if yes, the memory allocation fails;
the judging subunit is used for judging whether the residual memory capacity of each NUMA node of the physical host is greater than the value of M/N;
the first allocation subunit is used for allocating an M/N memory on each NUMA node of the virtual machine when the judgment result is yes;
and the second allocation subunit is used for taking the ratio of the remaining capacity of each NUMA node of the physical host to the remaining memory capacity of all NUMA nodes and F as a weight and allocating memory to the NUMA node of the corresponding virtual machine when the judgment result is negative.
As shown in fig. 4, an embodiment of the present invention further provides a device for performing hot-plug expansion on a cloud platform virtual machine memory, where the device includes a virtual machine and a physical host corresponding to the virtual machine, where the virtual machine and the physical host are respectively provided with NUMA nodes, and each NUMA node of the virtual machine corresponds to one NUMA node of the physical host, and the device further includes the system described in the above embodiment, where the system is deployed at a physical host end, and when a memory of a NUMA node of the virtual expansion machine needs to be stored, the physical host runs the system to perform an expansion operation.
The embodiment of the invention also provides a computer storage medium, wherein a computer instruction is stored in the computer storage medium, and when the computer instruction runs on a system, the system executes the steps of the method.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive changes in the technical solutions of the present invention.
Claims (10)
1. A method for heat storage capacity expansion in a cloud platform virtual machine is characterized by comprising the following steps:
responding to a memory hot capacity expansion request of the virtual machine, and acquiring the memory capacity M to be expanded and the number N of NUMA nodes of the current virtual machine in the request;
respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacities and F of all NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the NUMA node of the current virtual machine, and all NUMA nodes are composed of each NUMA node;
and distributing the capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of the virtual machine NUMA nodes and the residual memory capacity and F of all the NUMA nodes.
2. The method for thermal storage expansion of the cloud platform virtual machine according to claim 1, wherein the method further includes a step of creating a resource lock for a physical host corresponding to the current virtual machine after the memory expansion request is obtained and before the memory expansion request is responded, and the resource lock is released after the expansion capacity is allocated to the memory of the current virtual machine.
3. The method for heat capacity expansion of the cloud platform virtual machine memory according to claim 1, wherein the capacity expansion rules specifically include:
if the residual memory capacity sum F of all the NUMA nodes is less than the capacity to be expanded of the memory, the memory allocation fails;
judging whether the residual memory capacity of each NUMA node of the physical host is larger than the value of M/N;
if yes, distributing M/N memory on each NUMA node of the virtual machine;
and if not, taking the ratio of the remaining capacity of each NUMA node of the physical host to the remaining memory capacity of all NUMA nodes and F as a weight, and allocating memory for the NUMA nodes of the corresponding virtual machine.
4. The method for thermally expanding memory in a virtual machine of a cloud platform according to claim 3, wherein the method further comprises storing the capacity of the NUMA node memory before expansion and the capacity after expansion in the first database and the second database, respectively.
5. The method for thermally expanding the memory in the cloud platform virtual machine according to claim 4, wherein when the memory thermal expansion operation is performed, the data difference value of the same NUMA node in the second database and the first database is used as the expansion capacity.
6. The utility model provides a system of cloud platform virtual machine built-in heat flash, characterized by, the system includes:
the request processing unit is used for responding to a memory hot capacity expansion request of the virtual machine and acquiring the memory capacity M to be expanded and the number N of NUMA nodes of the current virtual machine in the request;
the information acquisition unit is used for respectively calculating the residual memory capacity of each NUMA node on the physical host and the residual memory capacities and F of all the NUMA nodes, wherein each NUMA node is a NUMA node of the physical host corresponding to the current NUMA node of the virtual machine, and all the NUMA nodes consist of each NUMA node;
and the capacity expansion analysis unit distributes capacity expansion capacity for the current virtual machine memory according to a preset capacity expansion rule, the memory capacity M to be expanded, the number N of NUMA nodes of the virtual machine, and the residual memory capacity and F of all the NUMA nodes.
7. The system for thermal memory expansion of the cloud platform virtual machine according to claim 6, further comprising a resource processing unit, wherein the resource processing unit is connected to the request processing unit and the expansion analysis unit, respectively, and triggers the resource processing unit after receiving the memory expansion request, creates a resource lock for the physical host corresponding to the current virtual machine, and releases the resource lock after allocating the expansion capacity to the memory of the current virtual machine.
8. The system for thermal volume expansion of the cloud platform virtual machine memory according to claim 6, wherein the volume expansion analysis unit includes:
the pre-analysis subunit is used for analyzing whether the residual memory capacity and F of all the NUMA nodes are smaller than the capacity to be expanded of the memory, and if so, the memory allocation fails;
the judging subunit is used for judging whether the residual memory capacity of each NUMA node of the physical host is greater than the value of M/N;
the first allocation subunit is used for allocating an M/N memory on each NUMA node of the virtual machine when the judgment result is yes;
and the second allocation subunit is used for taking the ratio of the remaining capacity of each NUMA node of the physical host to the remaining memory capacity of all NUMA nodes and F as a weight and allocating the memory to the NUMA node of the corresponding virtual machine if the judgment result is negative.
9. A device for hot storage capacity expansion in a cloud platform virtual machine comprises a virtual machine and a physical host corresponding to the virtual machine, wherein NUMA nodes are respectively arranged on the virtual machine and the physical host, and each NUMA node of the virtual machine corresponds to one NUMA node of the physical host.
10. A computer storage medium having computer instructions stored thereon, the computer instructions, when executed on a system according to any of claims 6-8, causing the system to perform the steps of the method according to any of claims 1-5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116880965A (en) * | 2023-09-08 | 2023-10-13 | 苏州浪潮智能科技有限公司 | Node distribution method, system, device and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116880965A (en) * | 2023-09-08 | 2023-10-13 | 苏州浪潮智能科技有限公司 | Node distribution method, system, device and medium |
| CN116880965B (en) * | 2023-09-08 | 2024-02-09 | 苏州浪潮智能科技有限公司 | Node distribution method, system, device and medium |
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