CN108874508A - A kind of cloud computing virtual server system load equilibration scheduling method - Google Patents
A kind of cloud computing virtual server system load equilibration scheduling method Download PDFInfo
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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
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- G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
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Abstract
The present invention provides a kind of cloud computing virtual server system load equilibration scheduling method, including cluster under computing pool in cloud computing virtual server system, wherein, multiple main frames are run under the cluster, each host uses shared storage, multiple virtual machines are run under each host, which is characterized in that include the following steps：Configure the threshold value of cluster host parameter under computing pool in cloud computing virtual server system；Obtain the monitoring data of host；By the size for the parameter value that monitoring data is got, to judge whether the host is the source host for executing virtual machine (vm) migration；Obtain the monitoring data of other hosts；According to monitoring data judgement is got, to execute the destination host for the migration for whether being subjected to virtual machine.To solve the problems, such as that load on host computers is unbalanced.
Description
Technical Field
The invention relates to the technical field of computer networks, in particular to a load balancing scheduling method for a cloud computing virtual server system.
Background
Today's society, along with the development of scientific information technology, especially the rapid development of cloud computing and virtualization technologies, has greatly changed the current work and lifestyle of people in the twenty-first century. The use of cloud computing is also becoming widely recognized and accepted. In the process of using the cloud computing technology, the deployment scale of the cloud computing environment is also continuously enlarged aiming at a wide application range, and particularly the cloud computing environment is mutually blended with the virtualization technology for use. In a cloud computing data center, with the technical implementation of virtualization technology, in a host in a cluster under a computing pool, because the number of virtual machines running on the host is different, the load of the host is different, and under the condition that the scale of the number of virtual machines on the host is large, the load bearing of the host is inevitably increased, so that the load balance of the hosts is very important to realize under the same cluster.
It is necessary to first solve the virtualization technology, which is to transform things from one form to another form, and the virtual machine technology is one of the virtualization technologies. A virtual machine (also called virtual server) refers to a complete computer system with complete hardware system functions, which is simulated by software and runs in a completely isolated environment. In a cloud computing server virtualization system, when the usage rate of a host CPU is too high and the usage rates of other host CPUs are too low, a host with too low usage rate load cannot be fully utilized, which causes waste in use of host resources.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a load balancing scheduling method for a cloud computing virtual server system, so as to solve the problem of unbalanced load of a host.
The technical scheme of the invention is as follows:
a load balancing scheduling method for a cloud computing virtual server system comprises a cluster under a computing pool in the cloud computing virtual server system, wherein a plurality of hosts run under the cluster, shared storage is used by the hosts, and a plurality of virtual machines run under the hosts, and the method comprises the following steps:
configuring a threshold value of cluster host machine parameters under a computing pool in a cloud computing virtual server system;
acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data;
acquiring monitoring data of other hosts; and judging whether the migration of the virtual machine is acceptable or not according to the acquired monitoring data.
Further, acquiring monitoring data of the host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data; the method comprises the following steps:
if the acquired CPU utilization rate does not exceed the cluster CPU threshold set by the host, the source host is not the source host executing the virtual machine migration; and if the CPU utilization rate exceeds the set cluster CPU threshold value, the source host machine executes the virtual machine migration.
Further, acquiring monitoring data of other hosts; the method for executing the target host which can accept the migration of the virtual machine according to the judgment of the acquired monitoring data comprises the following steps:
acquiring monitoring data of the CPU utilization rates of other hosts, and if the CPU utilization rate of a certain host is higher, not executing migration of the virtual machine to the target host; and if the CPU utilization rate of a certain target host is lower, executing the virtual machine to be migrated to the target host.
Further, acquiring monitoring data of the host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of the parameter value acquired by the data, wherein the judging step comprises the following steps:
setting a trigger, triggering once at set time, acquiring and storing the network bandwidth, the CPU and the storage space of the monitoring host, and placing the network bandwidth, the CPU and the storage space in a host sequence list;
suppose that host K occupies a bandwidth of wxThe available bandwidth of the host K is Wx(ii) a The index of the network bandwidth available to host K is shown as equation 4-1.
Suppose that the host K has n processes, and the CPU occupied by each process is ciThen the CPU resource occupied by n processes isThe computing power of the host K is CxIf yes, the CPU resource index available for the host is shown as the formula 4-2;
suppose host K has y articlesPiece, each file occupies a storage space of mjThen the storage space occupied by y files isThe remaining storage space of the host K is MxThen the index of the storage space available to the host is as shown in equation 4-3.
So as to obtain the parameter index of the hostWhen any index is less than 20% of the set threshold, the parameter in the host sequence list is set to FALSE, and the host is the source host for executing the virtual machine migration.
Further, when the parameter index of other host computer is detectedWhen each index is greater than or equal to 80% of the set threshold value, the host is set as a destination host which can accept migration of the virtual machine.
Further, the setting of the priority of the destination host that can accept the migration of the virtual machine includes:
acquiring a priority index of a target host through an algorithm 4-4;
y: the index of the residual load capacity of the host K;
Wx: bandwidth available to host K;
wx: the bandwidth occupied by the host K in the operation of the next day;
Cx: the computing power of host K;
ci: when n processes occupy CPU resources, the CPU resource occupied by each process is ci，1＝<i<＝n；
mj: when there are j files as storage space, each file occupies m storage capacityj，1＝<j<＝y；
Mx: the storage capacity of host K;
t: load capacity of the host K, where T is log2D/F；
D: performance index of host K consumption
Wherein,
f: the current performance index of the host K, F ═ Wx*Cx*Mx；
Wherein each term in the algorithm is multiplied by 102The decimal is removed in the calculation process, so that the rounding of the parameters is convenient;
after the priority indexes of the hosts are obtained, the corresponding hosts are placed into a priority sequence list according to the priority indexes of the hosts, the priority parameter indexes of the hosts are sorted from large to small, and the host with a larger priority parameter is arranged at an outlet of the priority sequence list of the host K.
Further, the method for migrating the virtual machine in the method further includes:
s31: collecting the information of all the virtual machines in the collected monitoring range, wherein the information comprises the running states of the virtual machines;
s32: determining a virtual machine to be migrated in all virtual machines in the source host according to the information;
s33: and automatically migrating the virtual machine to be migrated.
Further preferably, step S32 includes:
setting a first time threshold value of running of a virtual machine corresponding to a source host;
if the running time of the virtual machine corresponding to the source host exceeds a first time threshold, determining that the virtual machine corresponding to the host is a virtual machine to be migrated;
the corresponding step 33 comprises:
migrating the virtual machine with the running time of the virtual machine exceeding a first time threshold from the source host to the destination host.
Further preferably, step S32 includes:
setting a specific virtual machine in each time period in a plurality of virtual machines corresponding to a source host;
searching a specific virtual machine in the current time period, and taking the specific virtual machine as a virtual machine to be migrated, which needs to be migrated;
the corresponding step 33 comprises:
and migrating the searched specific virtual machine in the current time period from the source host to the destination host.
According to the technical scheme, the invention has the following advantages: the monitoring data of the CPU of the host computer is fully utilized to judge whether to execute the migration of the virtual machine and to which target host computer, so that the problem of unbalanced load of the host computer is solved, the reasonable utilization of host computer resources is improved, and the overall effective utilization rate of the host computer is improved.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Therefore, compared with the prior art, the invention has prominent substantive features and remarkable progress, and the beneficial effects of the implementation are also obvious.
Drawings
Fig. 1 is a flowchart of a load balancing scheduling method for a cloud computing virtual server system according to an embodiment;
fig. 2 is a schematic flowchart of a virtual machine migration method according to an embodiment;
fig. 3 is a flowchart illustrating a virtual machine migration method according to the second embodiment.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings by way of specific examples, which are illustrative of the present invention and are not limited to the following embodiments.
Example one
As shown in fig. 1, a load balancing scheduling method for a cloud computing virtual server system includes a cluster under a computing pool in the cloud computing virtual server system, where a plurality of hosts run under the cluster, each host uses shared storage, and each host runs a plurality of virtual machines, including the following steps:
configuring a threshold value of cluster host machine parameters under a computing pool in a cloud computing virtual server system;
acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data;
acquiring monitoring data of other hosts; and judging whether the migration of the virtual machine is acceptable or not according to the acquired monitoring data.
Acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data; the method comprises the following steps:
if the acquired CPU utilization rate does not exceed the cluster CPU threshold set by the host, the source host is not the source host executing the virtual machine migration; and if the CPU utilization rate exceeds the set cluster CPU threshold value, the source host machine executes the virtual machine migration.
Acquiring monitoring data of other hosts; the method for executing the target host which can accept the migration of the virtual machine according to the judgment of the acquired monitoring data comprises the following steps:
acquiring monitoring data of the CPU utilization rates of other hosts, and if the CPU utilization rate of a certain host is higher, not executing migration of the virtual machine to the target host; and if the CPU utilization rate of a certain target host is lower, executing the virtual machine to be migrated to the target host.
As shown in fig. 2, the method for migrating a virtual machine in the method further includes:
s31: collecting the information of all the virtual machines in the collected monitoring range, wherein the information comprises the running states of the virtual machines;
s32: determining a virtual machine to be migrated in all virtual machines in the source host according to the information;
s33: and automatically migrating the virtual machine to be migrated.
Step S32 includes:
setting a first time threshold value of running of a virtual machine corresponding to a source host;
if the running time of the virtual machine corresponding to the source host exceeds a first time threshold, determining that the virtual machine corresponding to the host is a virtual machine to be migrated;
the corresponding step 33 comprises:
migrating the virtual machine with the running time of the virtual machine exceeding a first time threshold from the source host to the destination host.
Configuring a CPU threshold of a cluster under a computing pool (a plurality of hosts run under the cluster, shared storage is used by each host, and a plurality of virtual machines run under each host) in a cloud computing virtual server system;
the source host acquires monitoring data of the CPU utilization rate of the source host, and if the CPU utilization rate does not exceed a cluster threshold set by the host, the virtual machine does not execute migration; if the CPU utilization rate exceeds the cluster threshold set by the host, the virtual machine executes migration;
acquiring monitoring data of other hosts, namely the CPU utilization rate of a target host, and if the CPU utilization rate of a certain target host is higher, not executing migration of the virtual machine to the host; and if the CPU utilization rate of a certain target host is lower, executing the virtual machine to be migrated to the target host.
Judging whether the virtual machine is migrated to other hosts by the CPU utilization value obtained by the monitoring data and the CPU threshold value for setting the cluster to be capable of executing migration, and then judging whether the virtual machine can be accepted to be migrated according to the obtained CPU monitoring data of other hosts, namely the target host. Thereby solving the problem of unbalanced load of the host.
Example two
A load balancing scheduling method for a cloud computing virtual server system comprises a cluster under a computing pool in the cloud computing virtual server system, wherein a plurality of hosts run under the cluster, shared storage is used by the hosts, and a plurality of virtual machines run under the hosts, and the method comprises the following steps:
configuring a threshold value of cluster host machine parameters under a computing pool in a cloud computing virtual server system;
acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data;
acquiring monitoring data of other hosts; and judging whether the migration of the virtual machine is acceptable or not according to the acquired monitoring data.
Acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data; the method comprises the following steps:
if the acquired CPU utilization rate does not exceed the cluster CPU threshold set by the host, the source host is not the source host executing the virtual machine migration; and if the CPU utilization rate exceeds the set cluster CPU threshold value, the source host machine executes the virtual machine migration.
Acquiring monitoring data of other hosts; the method for executing the target host which can accept the migration of the virtual machine according to the judgment of the acquired monitoring data comprises the following steps:
acquiring monitoring data of the CPU utilization rates of other hosts, and if the CPU utilization rate of a certain host is higher, not executing migration of the virtual machine to the target host; and if the CPU utilization rate of a certain target host is lower, executing the virtual machine to be migrated to the target host.
As shown in fig. 3, the method for migrating a virtual machine in the method further includes:
s31: collecting the information of all the virtual machines in the collected monitoring range, wherein the information comprises the running states of the virtual machines;
s32: determining a virtual machine to be migrated in all virtual machines in the source host according to the information;
s33: and automatically migrating the virtual machine to be migrated.
Step S32 includes:
setting a specific virtual machine in each time period in a plurality of virtual machines corresponding to a source host;
searching a specific virtual machine in the current time period, and taking the specific virtual machine as a virtual machine to be migrated, which needs to be migrated;
the corresponding step 33 comprises:
and migrating the searched specific virtual machine in the current time period from the source host to the destination host.
EXAMPLE III
A load balancing scheduling method for a cloud computing virtual server system comprises a cluster under a computing pool in the cloud computing virtual server system, wherein a plurality of hosts run under the cluster, shared storage is used by the hosts, and a plurality of virtual machines run under the hosts, and the method comprises the following steps:
configuring a threshold value of cluster host machine parameters under a computing pool in a cloud computing virtual server system;
acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data;
acquiring monitoring data of other hosts; and judging whether the migration of the virtual machine is acceptable or not according to the acquired monitoring data.
Acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of the parameter value acquired by the data, wherein the judging step comprises the following steps:
setting a trigger, triggering once at set time, acquiring and storing the network bandwidth, the CPU and the storage space of the monitoring host, and placing the network bandwidth, the CPU and the storage space in a host sequence list;
suppose that host K occupies a bandwidth of wxThe available bandwidth of the host K is wx(ii) a The index of the network bandwidth available to host K is shown as equation 4-1.
Suppose that the host K has n processes, and the CPU occupied by each process is ciThen the CPU resource occupied by n processes isThe computing power of the host K is CxIf yes, the CPU resource index available for the host is shown as the formula 4-2;
suppose that host K has y files, and the storage space occupied by each file is mjThen the storage space occupied by y files isThe remaining storage space of the host K is MxThen the index of the storage space available to the host is as shown in equation 4-3.
So as to obtain the parameter index of the hostWhen any index is less than 20% of the set threshold, the parameter in the host sequence list is set to FALSE, and the host is the source host for executing the virtual machine migration.
Parameter index of other host when detectingWhen each index is greater than or equal to 80% of the set threshold value, the host is set as a destination host which can accept migration of the virtual machine.
The setting of the priority of the destination host that can accept the migration of the virtual machine includes:
acquiring a priority index of a target host through an algorithm 4-4;
y: the index of the residual load capacity of the host K;
Wx: bandwidth available to host K;
wx: the bandwidth occupied by the host K in the operation of the next day;
Cx: the computing power of host K;
ci: when n processes occupy CPU resources, the CPU resource occupied by each process is ci，1＝<i<＝n；
mj: when there are j files as storage space, each file occupies M storage capacityj，1＝<j<＝y；
Mx: the storage capacity of host K;
t: load capacity of the host K, where T is log2D/F；
D: performance index of host K consumption
Wherein,
f: the current performance index of the host K, F ═ Wx*Cx*Mx；
Wherein each term in the algorithm is multiplied by 102The decimal is removed in the calculation process, so that the rounding of the parameters is convenient;
after the priority indexes of the hosts are obtained, the corresponding hosts are placed into a priority sequence list according to the priority indexes of the hosts, the priority parameter indexes of the hosts are sorted from large to small, and the host with a larger priority parameter is arranged at an outlet of the priority sequence list of the host K.
The method for migrating the virtual machine in the method further comprises the following steps:
s31: collecting the information of all the virtual machines in the collected monitoring range, wherein the information comprises the running states of the virtual machines;
s32: determining a virtual machine to be migrated in all virtual machines in the source host according to the information;
s33: and automatically migrating the virtual machine to be migrated.
Step S32 includes:
setting a first time threshold value of running of a virtual machine corresponding to a source host;
if the running time of the virtual machine corresponding to the source host exceeds a first time threshold, determining that the virtual machine corresponding to the host is a virtual machine to be migrated;
the corresponding step 33 comprises:
migrating the virtual machine with the running time of the virtual machine exceeding a first time threshold from the source host to the destination host.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A load balancing scheduling method for a cloud computing virtual server system comprises a cluster under a computing pool in the cloud computing virtual server system, wherein a plurality of hosts run under the cluster, shared storage is used by the hosts, and a plurality of virtual machines run under the hosts, and is characterized by comprising the following steps:
configuring a threshold value of cluster host machine parameters under a computing pool in a cloud computing virtual server system;
acquiring monitoring data of a host; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data;
acquiring monitoring data of other hosts; and judging whether the migration of the virtual machine is acceptable or not according to the acquired monitoring data.
2. The load balancing scheduling method of the cloud computing virtual server system according to claim 1, wherein the step of obtaining monitoring data of the host computer; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of a parameter value acquired by data; the method comprises the following steps:
if the acquired CPU utilization rate does not exceed the cluster CPU threshold set by the host, the source host is not the source host executing the virtual machine migration; and if the CPU utilization rate exceeds the set cluster CPU threshold value, the source host machine executes the virtual machine migration.
3. The load balancing scheduling method of the cloud computing virtual server system according to claim 2, wherein the steps of obtaining monitoring data of other hosts; the method for executing the target host which can accept the migration of the virtual machine according to the judgment of the acquired monitoring data comprises the following steps:
acquiring monitoring data of the CPU utilization rates of other hosts, and if the CPU utilization rate of a certain host is higher, not executing migration of the virtual machine to the target host; and if the CPU utilization rate of a certain target host is lower, executing the virtual machine to be migrated to the target host.
4. The load balancing scheduling method of the cloud computing virtual server system according to claim 1, wherein the step of obtaining monitoring data of the host computer; judging whether the host is a source host for executing virtual machine migration or not by monitoring the size of the parameter value acquired by the data, wherein the judging step comprises the following steps:
setting a trigger, triggering once at set time, acquiring and storing the network bandwidth, the CPU and the storage space of the monitoring host, and placing the network bandwidth, the CPU and the storage space in a host sequence list;
suppose that host K occupies a bandwidth of wxThe available bandwidth of the host K is Wx(ii) a The index of the network bandwidth available to host K is shown as equation 4-1.
Suppose that the host K has n processes, and the CPU occupied by each process is ciThen the CPU resource occupied by n processes isThe computing power of the host K is CxIf yes, the CPU resource index available for the host is shown as the formula 4-2;
suppose that host K has y files, and the storage space occupied by each file is mjThen the storage space occupied by y files isThe remaining storage space of the host K is MxThen the index of the storage space available to the host is as shown in equation 4-3.
So as to obtain the parameter index of the hostWhen any index is less than 20% of the set threshold, the parameter in the host sequence list is set to FALSE, and the host is the source host for executing the virtual machine migration.
5. The load balancing scheduling method of the cloud computing virtual server system according to claim 4, wherein the parameter index of the other host is detectedWhen each index is greater than or equal to 80% of the set threshold value, the host is set as a destination host which can accept migration of the virtual machine.
6. The load balancing scheduling method for the cloud computing virtual server system according to claim 4, wherein the setting of the priority of the destination host that can accept migration of the virtual machine includes:
acquiring a priority index of a target host through an algorithm 4-4;
y: the index of the residual load capacity of the host K;
Wx: bandwidth available to host K;
wx: the bandwidth occupied by the host K in the operation of the next day;
Cx: the computing power of host K;
ci: when n processes occupy CPU resources, the CPU resource occupied by each process is ci，1＝<i<＝n；
mj: when there are j files as storage space, each file occupies m storage capacityj，1＝<j<＝y；
Mx: the storage capacity of host K;
t: load capacity of the host K, where T is log2D/F；
D: performance index of host K consumption
Wherein,
f: the current performance index of the host K, F ═ Wx*Cx*Mx；
Wherein each term in the algorithm is multiplied by 102Is to calculateThe decimal is removed in the process of (2), so that the rounding of the parameters is convenient;
after the priority indexes of the hosts are obtained, the corresponding hosts are placed into a priority sequence list according to the priority indexes of the hosts, the priority parameter indexes of the hosts are sorted from large to small, and the host with a larger priority parameter is arranged at an outlet of the priority sequence list of the host K.
7. The load balancing scheduling method for the cloud computing virtual server system according to claim 3 or 6, wherein the migration method for the virtual machine in the method further includes:
s31: collecting the information of all the virtual machines in the collected monitoring range, wherein the information comprises the running states of the virtual machines;
s32: determining a virtual machine to be migrated in all virtual machines in the source host according to the information;
s33: and automatically migrating the virtual machine to be migrated.
8. The load balancing scheduling method for the cloud computing virtual server system according to claim 7, wherein the step S32 includes:
setting a first time threshold value of running of a virtual machine corresponding to a source host;
if the running time of the virtual machine corresponding to the source host exceeds a first time threshold, determining that the virtual machine corresponding to the host is a virtual machine to be migrated;
the corresponding step 33 comprises:
migrating the virtual machine with the running time of the virtual machine exceeding a first time threshold from the source host to the destination host.
9. The load balancing scheduling method for the cloud computing virtual server system according to claim 7, wherein the step S32 includes:
setting a specific virtual machine in each time period in a plurality of virtual machines corresponding to a source host;
searching a specific virtual machine in the current time period, and taking the specific virtual machine as a virtual machine to be migrated, which needs to be migrated;
the corresponding step 33 comprises:
and migrating the searched specific virtual machine in the current time period from the source host to the destination host.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110347502A (en) * | 2019-06-21 | 2019-10-18 | 无锡华云数据技术服务有限公司 | Load equilibration scheduling method, device and the electronic equipment of cloud host server |
| CN111949412A (en) * | 2020-09-18 | 2020-11-17 | 成都精灵云科技有限公司 | Active load balancing system and method based on application load |
| CN115048189A (en) * | 2022-08-15 | 2022-09-13 | 国网信息通信产业集团有限公司 | Virtual machine resource balancing method and cluster system |
| CN115794314A (en) * | 2023-01-29 | 2023-03-14 | 国网信息通信产业集团有限公司 | Virtual machine migration method in cloud computing environment |
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| CN110347502A (en) * | 2019-06-21 | 2019-10-18 | 无锡华云数据技术服务有限公司 | Load equilibration scheduling method, device and the electronic equipment of cloud host server |
| CN111949412A (en) * | 2020-09-18 | 2020-11-17 | 成都精灵云科技有限公司 | Active load balancing system and method based on application load |
| CN115048189A (en) * | 2022-08-15 | 2022-09-13 | 国网信息通信产业集团有限公司 | Virtual machine resource balancing method and cluster system |
| CN115794314A (en) * | 2023-01-29 | 2023-03-14 | 国网信息通信产业集团有限公司 | Virtual machine migration method in cloud computing environment |
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