CN115499388B - Virtual host resource allocation method, device, equipment and storage medium - Google Patents
Virtual host resource allocation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN115499388B CN115499388B CN202211058035.1A CN202211058035A CN115499388B CN 115499388 B CN115499388 B CN 115499388B CN 202211058035 A CN202211058035 A CN 202211058035A CN 115499388 B CN115499388 B CN 115499388B
- Authority
- CN
- China
- Prior art keywords
- resource
- capacity
- reserved
- physical host
- user equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 60
- 238000013468 resource allocation Methods 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 6
- 239000002699 waste material Substances 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 4
- 230000006978 adaptation Effects 0.000 description 3
- 238000013467 fragmentation Methods 0.000 description 3
- 238000006062 fragmentation reaction Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 239000012634 fragment Substances 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000013065 commercial product Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/72—Admission control; Resource allocation using reservation actions during connection setup
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- 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
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Abstract
The application provides a virtual host resource allocation method, device, equipment and storage medium, wherein the method comprises the following steps: by applying the technical scheme, the reserved instance of the reserved capacity resource capable of meeting the planned resource capacity of the user equipment can be allocated to the user equipment in the whole residual resources of the cloud server based on the planned resource capacity in the resource planning request reported in advance by each user equipment. Therefore, the purpose that the resources are not allocated based on the real-time request of the user equipment any more, but the corresponding resources are reserved in the cloud server in advance, and then the resources are allocated to the cloud server directly according to the reserved resources in the follow-up process is achieved. And further, the problem that the utilization rate of the whole computing resources in the cloud is low in a mode that the user randomly schedules the resources in real time along with the opening request of the user in the related technology is avoided, so that the waste of the cloud computing resources is caused.
Description
Technical Field
The application belongs to the technical field of cloud, and particularly relates to a virtual host resource allocation method, device, equipment and storage medium.
Background
With the continuous change of external environments and the rapid development of cloud computing in the internet industry, many user devices are in a cloud environment for processing in order to better adapt to the change of environments.
In the related art, the user equipment may obtain the computer resources by requesting to the cloud server to purchase the cloud virtual machine without purchasing the physical machine, for example, when the user equipment needs the computing resources, the user equipment may send a resource opening request to the cloud, and at this time, the cloud server allocates the computing resources in the corresponding physical machine in the cloud to the user equipment according to the real-time random scheduling optimal policy.
However, the above access has a problem that the utilization rate of the overall computing resources in the cloud is low in a manner of randomly scheduling the resources for the user in real time along with the opening request of the user, so that the waste of the cloud computing resources is caused.
Disclosure of Invention
The application provides a virtual host resource allocation method, device, equipment and storage medium, which can solve the problem that the utilization rate of the whole computing resources in the cloud is low in a mode of randomly scheduling the resources for users in real time in the related technology.
An embodiment of a first aspect of the present application proposes a method for allocating resources of a virtual host, where the method is applied to a cloud server, and includes:
receiving a first resource planning request reported by user equipment, wherein the first resource planning request carries a first planning resource capacity, and the first resource planning request is used for reserving resources of the first planning resource capacity for the user equipment;
generating a first resource reservation instance corresponding to the first planning resource capacity based on the first planning resource capacity and the residual resource capacity of at least one physical host included in the cloud server;
and allocating virtual host resources for the user equipment based on the first resource reservation instance.
An embodiment of a second aspect of the present application proposes a virtual host resource allocation device, where the device is applied to a cloud server, and includes:
the receiving module is configured to receive a first resource planning request reported by the user equipment, wherein the first resource planning request carries a first planning resource capacity;
a generation module configured to generate a first resource reservation instance corresponding to the first planned resource capacity based on the first planned resource capacity and a remaining resource capacity of at least one physical host included by the cloud server;
An allocation module configured to allocate virtual host resources for the user equipment based on the first resource reservation instance.
An embodiment of a third aspect of the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the computer program to implement the method of the first aspect.
An embodiment of the fourth aspect of the present application provides a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the method of the first aspect.
The technical scheme provided in the embodiment of the application has at least the following technical effects or advantages:
in the embodiment of the application, a cloud server may receive a first resource planning request reported by a user equipment, where the first resource planning request carries a first planned resource capacity; generating a first resource reservation instance corresponding to the first planning resource capacity based on the first planning resource capacity and the residual resource capacity of at least one physical host included in the cloud server; and allocating virtual host resources for the user equipment based on the first resource reservation instance. By applying the technical scheme, the reserved instance of the reserved capacity resource capable of meeting the planned resource capacity of the user equipment can be allocated to the user equipment in the whole residual resources of the cloud server based on the planned resource capacity in the resource planning request reported in advance by each user equipment. Therefore, the purpose that the resources are not allocated based on the real-time request of the user equipment any more, but the corresponding resources are reserved in the cloud server in advance, and then the resources are allocated to the cloud server directly according to the reserved resources in the follow-up process is achieved. And further, the problem that the utilization rate of the whole computing resources in the cloud is low in a mode that the user randomly schedules the resources in real time along with the opening request of the user in the related technology is avoided, so that the waste of the cloud computing resources is caused.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures.
In the drawings:
fig. 1 a-1 b are schematic diagrams illustrating a method for allocating resources to a user device by a cloud server in a related art according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a method for allocating resources of a virtual host according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a virtual host resource allocation flow according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a virtual host resource allocation apparatus according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 6 shows a schematic diagram of a storage medium according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this application belongs.
In the related technology, with the development of cloud-edge integration and edge integration strategies, small-scale commercial product cloud boxes are gradually popularized, and the cloud boxes generally have the capabilities of small resource pools, low price and consistent cloud-edge experience.
Because the cloud box resource pool is generally smaller, various capability requirements like public cloud, scattering and the like are simultaneously required to be considered, and when a scene with inconsistent resources is created, a scene with inconsistent size and capacity can be created. This also results in the potential for problems with the inefficiency of cloud server computing resource allocation.
For example, as shown in fig. 1 a-1 b, for example, there are two physical hosts under the cloud server, and each physical host is a host with 104c (i.e. with 104 core processor) computing resource capacity, when a user requests to allocate 2 computing resources 52c (i.e. with 52 core processor) and one computing resource 8c (i.e. with 8 core processor) to the cloud server, the cloud server allocates two schemes to the user device according to a policy of real-time random resource allocation.
The first scheme is as follows:
as shown in fig. 1a, the cloud server may allocate a virtual host of one 52c and a virtual host of one 8c to the user in the physical host 1, where the remaining capacity of the physical host 1 cannot be in another 52c supporting the user. So that it can only be allocated another one 52c of the virtual hosts on the physical host 2. In this case, the remaining capacity of the physical host 1 is 44c, and the remaining capacity of the physical host 2 is 52c. It will be appreciated that this results in a low remaining resource capacity for both physical hosts, and if the user continues to request a 96c computing resource from it at this point, the cloud server cannot fulfill the request.
The second scheme is as follows:
as shown in fig. 1b, the cloud server may allocate a virtual host of one 52c and a virtual host of one 52c to the user in the physical host 1, where the remaining capacity of the physical host 1 cannot be at the other 8c supporting the user. It can be assigned another 8c virtual host on the physical host 2. In this case, the remaining capacity of the physical host 1 is 0c, and the remaining capacity of the physical host 2 is 96c. It will be appreciated that this situation results in a higher remaining resource capacity for both physical hosts. For example, when the user continues to request a computing resource of 96c from the cloud server, the cloud server may also fulfill the request.
From the above, in the related art, the method of randomly scheduling resources for the user in real time along with the opening request of the user may have a low utilization rate of the overall computing resources in the cloud, thereby causing the waste of the cloud computing resources.
In view of the above problems, the present application proposes a method for allocating resources of a virtual host, where the concept is to allocate, in advance, a reserved instance of reserved capacity resources capable of meeting the planned resource capacity of each user device in the overall remaining resources of a cloud server according to a preset policy, based on the planned resource capacity in a resource planning request reported by the user device. Therefore, a scheme of distributing corresponding resources in the physical host according to the optimal distribution strategy is realized, and the problem that the utilization rate of the whole computing resources in the cloud is low in a mode of randomly scheduling the resources for the user in real time along with the opening request of the user can be avoided.
The following describes a method, an apparatus, a device, and a storage medium for allocating virtual host resources according to embodiments of the present application with reference to the accompanying drawings.
Referring to fig. 2, the method is applied to a cloud server, and specifically comprises the following steps:
step 101: and receiving a first resource planning request reported by user equipment, wherein the first resource planning request carries a first planning resource capacity, and the first resource planning request is used for reserving resources of the first planning resource capacity for the user equipment.
As an example, the user equipment may be a terminal having a work processing capability, a server having a work processing capability, or the like. In one mode, the number of the user equipment is not specifically limited, and may be one or a plurality of user equipment.
In one manner, one or more user devices may be user devices deployed with the same operational scenario in a cloud server. In another manner, one or more user devices may also be user devices deployed with different operating scenarios in a cloud server.
Wherein the first resource planning request is for requesting a cloud server to allocate a capacity of resources thereto, which may include computing resources, storage resources, and the like.
By way of example, taking a first resource planning request as an example for requesting computing resources, the first planning resource capacity may correspond to computing resources of 52 cores, 108 cores, and so on. Or, taking the first resource planning request as an example to request for a storage resource, the first planning resource capacity may correspond to 100T, 200T storage resources, and so on.
Step 102: and generating a first resource reservation instance corresponding to the first planning resource capacity based on the first planning resource capacity and the residual resource capacity of at least one physical host included in the cloud server.
Further, after receiving the first planned resource capacity pre-reported by the user equipment, the cloud server can allocate capacity for the user equipment according to the residual capacity of all the physical hosts at present in a mode of higher resource utilization rate, and records the association relationship between the physical hosts allocated for the user equipment and the corresponding reserved resources into the first resource reservation instance.
The resource reservation instance is an association relationship used for representing the corresponding physical host and the corresponding reserved resources. The relationship may be stored in a storage area in the server by a carrier such as a table, text, or image.
As an example, for example, the first resource reservation instance may be a relationship of physical host a and corresponding 108 core computing resources, and physical host B and corresponding 52 core computing resources. After the resource reservation instance is determined, the resource reservation instance can be stored, so that corresponding virtual resources are allocated to the user equipment according to the instance later.
Step 103: and allocating virtual host resources for the user equipment based on the first resource reservation instance.
Further, after the corresponding first resource reservation instance is generated for the user equipment, when the resource opening request reported by the user equipment is subsequently received, the reserved resource can be allocated for the user equipment based on whether the resource opening request includes a result that whether the to-be-opened resource capacity is matched with the reserved resource capacity corresponding to the first resource reservation instance.
The virtual host resource is a virtual host bearing a certain resource and used for working and processing for a user. For example, when the resource is a 52-core computing resource, the virtual host resource allocated to the user device is a virtual host with the 52-core computing resource, so that the user can process corresponding work on the user device by using the virtual host with the 52-core computing resource.
For another example, when the resource is a 100T storage resource, the virtual host resource allocated to the user device is a virtual host with the 100T storage resource, so that the user can store corresponding data on the user device by using the virtual host with the 100T storage resource.
As shown in fig. 3, a flowchart of a method for allocating resources of a virtual host according to the present application is provided, which includes the following steps:
step 1, a cloud server receives a first resource planning request reported by user equipment, wherein the first resource planning request is used for pre-distributing resources for the user equipment and carries first planning resource capacity.
Further, the user equipment may send, in advance, a first resource planning request to the cloud server for a resource capacity allocated to itself by the cloud server when performing work processing later.
For example, a virtual host whose computing resources, such as the user device itself, are expected to require 104c computing resources at a later processing job, may pre-send a first resource planning request to the cloud server containing two 52c and a total of 104c computing resources (i.e., a first planned resource capacity). So that the cloud server reserves 104c computing resources for it in advance.
Step 2, the cloud server acquires at least one sub-planning resource capacity contained in the first planning resource capacity; and respectively acquiring the residual resource capacity corresponding to at least one physical host associated with the cloud server.
Also for example, as described above, when the cloud server receives a first resource planning request including two 52c total 104c computing resources (i.e., a first planned resource capacity), it first needs to determine the 2 sub-planned resource capacities (i.e., the sub-planned resource capacities including 2 52 c) included in the first planned resource capacity (i.e., the 104c computing resources).
Furthermore, the cloud server also needs to calculate all physical hosts with the residual resource capacity in the cloud environment. For example, physical host 1 (remainder 60 c), physical host 2 (remainder 104 c), and physical host 3 (remainder 8 c), respectively.
In one manner, the physical hosts may be determined by all physical hosts associated with the cloud server and having the remaining resource capacity.
In another manner, the cloud server may be a part of a physical host associated with the cloud server. The determination method of the partial physical hosts is that firstly, the maximum allocation capacity (for example, 200 c) of the user equipment is obtained, and one or more physical hosts which can meet 200c according to the total residual capacity allocated to the user equipment by the maximum allocation capacity are used as the partial physical hosts allocated to the user equipment.
And step 3, respectively arranging and combining all the sub-planning resource capacities to obtain a sequence to be compared for representing the combination of the various sub-planning resource capacities.
And 4, after the resource pre-allocation planning is carried out on each sequence to be compared and the first residual resource capacity corresponding to at least one physical host, detecting the second residual resource of each physical host.
And 5, selecting a target sequence to be compared corresponding to the minimum second residual resource and a corresponding target physical host in each resource pre-allocation plan.
In the process of planning the corresponding physical hosts for each sub-planned resource capacity, the method and the device can respectively allocate the at least one sub-planned resource capacity and the residual resource capacity corresponding to the at least one physical host by using the fragmentation minimum strategy. And determining a corresponding target physical host to generate a first resource reservation instance corresponding to the first planning resource capacity for each sub-planning resource capacity according to the fragmentation minimum strategy.
Specifically, for example, a first projected resource capacity (i.e., 104c computing resource) contains 2 sub-projected resource capacities (i.e., sub-projected resource capacity 1 containing 52c and sub-projected resource capacity 2 containing 52 c). All physical hosts with the remaining resource capacity in the cloud server are physical host 1 (remaining 60 c), physical host 2 (remaining 104 c), and physical host 3 (remaining 8 c), respectively.
At this time, the 2 sub-planned resource capacities are required to be respectively arranged and combined, so as to obtain the sequences to be compared for representing the combinations of the multiple sub-planned resource capacities. The method comprises the following steps:
sequence 1 to be compared: sub-schedule resource capacity 1 containing 52 c;
sequence 2 to be compared: sub-schedule resource capacity 1 containing 52 c;
sequence 3 to be compared: sub-scheduled resource capacity 1 containing 1 52c and sub-scheduled resource capacity 2 containing 1 52 c.
Further, in the embodiment of the present application, resource pre-allocation planning needs to be performed on the 3 sequences to be compared and the first remaining resource capacity corresponding to each physical host respectively. And detecting a second remaining resource of each physical host after the pre-allocation plan.
That is, for the sequence 1 to be compared, it needs to perform resource adaptation with the physical hosts 1, 2, 3 of the residuals 60c (i.e. the first residual capacity), 104c (i.e. the first residual capacity), 8c (i.e. the first residual capacity), respectively. As a result, the second remaining resource of the physical host 1 is 8, the second remaining resource of the physical host 1 is 52c, and the physical host 3 cannot be adapted.
As can be seen from the above, for the sequence to be compared 1, its target physical host corresponding to the smallest second remaining resource is 1 (the second remaining resource is 8 c).
Likewise, for the sequence to be compared 2, it needs to perform resource adaptation with the physical hosts 1, 2, 3 of the residuals 60c (i.e. the first residual capacity), 104c (i.e. the first residual capacity), 8c (i.e. the first residual capacity), respectively. As a result, the second remaining resource of the physical host 1 is 8, the second remaining resource of the physical host 1 is 52c, and the physical host 3 cannot be adapted.
As can be seen from the above, for the sequence to be compared 2, its target physical host corresponding to the smallest second remaining resource is also 1 (the second remaining resource is 8 c).
In addition, for the sequence 3 to be compared, it needs to perform resource adaptation with the physical hosts 1, 2, 8c (i.e. the first residual capacity) of the residual 60c (i.e. the first residual capacity), 104c (i.e. the first residual capacity), respectively. As a result, physical host 1 cannot be adapted, the second remaining resource of physical host 1 is 0c, and physical host 3 cannot be adapted.
As can be seen from the above, for the sequence to be compared 3, its target physical host corresponding to the smallest second remaining resource is 2 (the second remaining resource is 0 c).
As can be seen from the above, the resource pre-allocation plan of the target to-be-compared sequence corresponding to the minimum second remaining resource and the corresponding target physical host is: the target to-be-compared sequence 3 is compared with the corresponding target physical host 2. Thus, the optimal resource allocation method for the plurality of sub-planned resource capacities is to allocate the 2 sub-planned resource capacities to the physical hosts 2 in the cloud server.
And 6, reserving reserved capacity matched with the corresponding sub-planned resource capacity on each target physical host.
And 7, establishing an association relation between at least one target physical host and the corresponding reserved capacity, and taking the association relation as a first resource reservation instance.
When the optimal resource allocation mode of the user equipment is determined to be that the 2 sub-planned resource capacities are allocated to the physical host 2 in the cloud server, the physical host 2 can be used as a target physical host, and the remaining resources (104 c) on the target physical host can be used as reserved capacity reserved for the user equipment.
Further, in order to enable resources to be opened for the ue in time later, in this embodiment of the present application, the association relationship between the physical hosts 2 and 104c (i.e. the association relationship between the target physical host and the corresponding reserved capacity) needs to be recorded on a virtual instance, and the instance is used as the first resource reservation instance of the ue.
And 8, receiving a resource opening request reported by the user equipment, wherein the resource opening request comprises the capacity of the resource to be opened.
And 9, detecting whether the capacity of the resource to be opened is matched with the reserved resource capacity corresponding to the user equipment, wherein the reserved resource capacity is reflected by the first resource reservation instance. If there is a match, the process proceeds to step 10, and if there is no match, the process proceeds to step 12.
Step 10, if matching, creating at least one initial virtual host for the user equipment; and acquiring each target physical host identity reserved for the user equipment, wherein the target physical host identity is contained in the first resource reservation instance.
It can be understood that if the resource capacity requested to be opened by the user equipment is the same as the resource capacity requested to be planned by the user equipment, it is determined that the resource capacity to be opened matches with the reserved resource capacity corresponding to the user equipment. And then an initial virtual host can be created for the user equipment, and reserved resources on the target physical host contained in the first resource reservation instance are mapped to the initial virtual host, so that the purpose of using the reserved resources allocated to the user equipment is achieved.
And step 11, mapping the reserved resources of each target physical host identity to at least one initial virtual host.
And step 12, if the target sub-resource capacity is not matched with the reserved resource capacity, determining the target sub-resource capacity which is different from the reserved resource capacity, and distributing resources for the target sub-resource capacity in the residual resource capacity of the target physical host.
And step 13, allocating the allocated resources to the user equipment for use.
By applying the technical scheme, the reserved instance of the reserved capacity resource capable of meeting the planned resource capacity of the user equipment can be allocated to the user equipment in the whole residual resources of the cloud server based on the planned resource capacity in the resource planning request reported in advance by each user equipment. Therefore, the purpose that the resources are not allocated based on the real-time request of the user equipment any more, but the corresponding resources are reserved in the cloud server in advance, and then the resources are allocated to the cloud server directly according to the reserved resources in the follow-up process is achieved. And further, the problem that the utilization rate of the whole computing resources in the cloud is low in a mode that the user randomly schedules the resources in real time along with the opening request of the user in the related technology is avoided, so that the waste of the cloud computing resources is caused.
In an optional embodiment, the generating a first resource reservation instance corresponding to the first planned resource capacity according to the first planned resource capacity and a remaining resource capacity of at least one physical host included in the cloud server includes:
Acquiring at least one sub-planning resource capacity contained in the first planning resource capacity; respectively acquiring the residual resource capacity corresponding to at least one physical host associated with the cloud server;
respectively carrying out fragment minimum strategy allocation on at least one sub-planning resource capacity and the residual resource capacity corresponding to at least one physical host, and determining a corresponding target physical host for each sub-planning resource capacity;
reserving reserved capacity matched with the corresponding sub-planned resource capacity on each target physical host, and generating a first resource reserved instance based on at least one target physical host and the corresponding reserved capacity.
In an optional embodiment, in the obtaining, by the application, a remaining resource capacity corresponding to at least one physical host associated with the cloud server, respectively, the method includes:
and respectively acquiring the residual resource capacity corresponding to the physical host in a target selection range associated with the cloud server, wherein the target selection range is determined by the maximum allocation capacity corresponding to the user equipment.
The embodiment of the application can respectively acquire the residual resource capacities corresponding to all the physical hosts associated with the cloud server; or respectively acquiring the residual resource capacity corresponding to a part of physical hosts associated with the cloud server, wherein the part of physical hosts are at least one physical host allocated to the user equipment based on the maximum allocation capacity of the user equipment in all the physical hosts associated with the cloud server.
In one manner, in the embodiment of the present application, in the process of obtaining the remaining resource capacity corresponding to at least one physical host associated with the cloud server, the number of physical hosts may be all physical hosts associated with the cloud server and having the remaining resource capacity.
In another manner, the physical host may also be a part of the physical hosts associated with the cloud server. Specifically, for example, the maximum allocation capacity (for example, 200 c) of the ue may be obtained first, and one or more physical hosts that can satisfy 200c of the total remaining capacity allocated to the ue are used as part of the physical hosts allocated to the ue according to the maximum allocation capacity and the total remaining capacity allocated to the cloud server in all the physical hosts that currently have the remaining capacity.
In an optional embodiment, the generating a first resource reservation instance based on at least one target physical host and a corresponding reserved capacity includes:
and establishing an association relation between at least one target physical host and the corresponding reserved capacity, and taking the association relation as a first resource reservation instance.
In an optional embodiment, in the method, at least one sub-planning resource capacity and a remaining resource capacity corresponding to at least one physical host are allocated by a fragmentation minimum policy, and a corresponding target physical host is determined for each sub-planning resource capacity, which includes:
Respectively arranging and combining all the sub-planning resource capacities to obtain a sequence to be compared for representing the combination of the sub-planning resource capacities;
after each sequence to be compared and the first residual resource capacity corresponding to at least one physical host are subjected to resource pre-allocation planning, detecting the second residual resource of each physical host;
selecting a target sequence to be compared corresponding to the minimum second residual resource and a corresponding target physical host in each resource pre-allocation plan;
and determining a corresponding target physical host for each sub-planning resource capacity based on the target to-be-compared sequence and the corresponding target physical host.
In an optional embodiment, the allocating resources for the user equipment based on the first resource reservation instance includes:
receiving a resource opening request reported by user equipment, wherein the resource opening request comprises the capacity of a resource to be opened;
detecting whether the capacity of the resource to be opened is matched with the reserved resource capacity corresponding to the user equipment, wherein the reserved resource capacity is reflected by a first resource reservation instance;
and if so, allocating reserved resources corresponding to the reserved resource capacity in the cloud server to the user equipment for use.
In the embodiment of the application, the reservation locking processing can be performed on the resources of at least one physical host in the cloud server in advance through a mode of advanced planning, so that the planned resources can realize the maximum improvement of the utilization rate in a globally optimal mode no matter how the user equipment is established, and the unplanned resources are still scheduled and allocated according to an optimal planning mode during resource establishment.
Furthermore, the embodiment of the application obtains the exact requirement of planning resources in advance through the pre-planning submission, so that the global optimal planning processing of the resource pool can be realized by omitting the creation sequence, the influence of the creation sequence on the scheduling and the distribution of the resource pool is eliminated, and the maximum resource utilization rate improvement can be realized in a small resource pool mode.
In an optional embodiment, the application allocates reserved resources corresponding to the reserved resource capacity in the cloud server to the user equipment for use, and includes:
creating at least one initial virtual host for the user device; acquiring each target physical host identity reserved for the user equipment, wherein the target physical host identity is contained in the first resource reservation instance;
the reserved resources of each target physical host identity are mapped onto at least one initial virtual host.
The virtual host (virtual machine) is a computer virtualized by software technology, and by allocating certain computing and storage resources to the virtual host, the virtual host can perform relevant work processing for a user. In one manner, the virtual host in the embodiments of the present application may be VMware Workstation (VMware), virtualBox, microsoft Virtual PC, or the like. The present application is not limited in this regard.
In this embodiment of the present application, after at least one initial virtual host is created for the user equipment, the reserved resources under each target physical host identifier reserved for the user equipment, which are included in the first resource reservation instance, may be mapped onto the one or more initial virtual hosts. Thereby generating a processing device capable of performing work processing for the user.
In an optional embodiment, the detecting whether the to-be-opened resource capacity is matched with the reserved resource capacity corresponding to the user includes:
acquiring reserved capacity corresponding to each target physical host identifier reserved for user equipment, wherein the reserved capacity is contained in a first resource reserved example;
and detecting whether each sub-resource capacity contained in the resource capacity to be opened is identical with at least one reserved capacity.
In an optional embodiment, after detecting whether each sub-resource capacity included in the resource capacity to be opened is the same as at least one reserved capacity, the method further includes:
if the target sub-resource capacities are different, determining target sub-resource capacities which are different from the reserved resource capacities;
allocating resources for the target sub-resource capacity in the residual resource capacity of the target physical host;
and allocating the allocated resources to the user equipment for use.
It can be understood that if the resource capacity requested to be opened by the ue (i.e., the resource capacity to be opened) is the same as the resource capacity requested to be planned by the ue (i.e., the reserved capacity corresponding to each target physical host identifier reserved for the ue and included in the first resource reservation instance), it can be determined that the resource capacity to be opened matches with the reserved resource capacity corresponding to the ue. Otherwise, the two are not matched.
Under the condition of mismatch, the redundant resource capacity is the target sub-resource capacity, and the embodiment of the application can allocate resources for the target sub-resource capacity in the residual resource capacity of the target physical host and provide the resources for the user equipment.
In an optional embodiment, before receiving the resource opening request reported by the user equipment, the method further includes:
receiving a second resource planning request sent by user equipment, and performing failure processing on the first resource reservation instance;
and generating a second resource reservation instance which can meet the second planning resource capacity for the user equipment, and allocating resources for the user equipment based on the second resource reservation instance.
Further, before the user equipment opens the resources, the user equipment can change its resource plan at will once or multiple times, and because the resources are not really allocated at this time, the cloud server can plan and reserve by releasing the original first resource reservation example and reconstructing to obtain the second resource reservation example.
In addition, when the user equipment opens the resources, the cloud server can directly perform hit processing on the planned resources, and re-allocate corresponding resource capacity for the user equipment in the residual public area of the target physical host for the resources which cannot be hit.
By applying the technical scheme, the reserved instance of the reserved capacity resource capable of meeting the planned resource capacity of the user equipment can be allocated to the user equipment in the whole residual resources of the cloud server based on the planned resource capacity in the resource planning request reported in advance by each user equipment. Therefore, the purpose that the resources are not allocated based on the real-time request of the user equipment any more, but the corresponding resources are reserved in the cloud server in advance, and then the resources are allocated to the cloud server directly according to the reserved resources in the follow-up process is achieved. And further, the problem that the utilization rate of the whole computing resources in the cloud is low in a mode that the user randomly schedules the resources in real time along with the opening request of the user in the related technology is avoided, so that the waste of the cloud computing resources is caused.
The embodiment of the application also provides a device for distributing the virtual host resources, which is used for executing the operations executed in the virtual host resource distribution method provided by any embodiment. As shown in fig. 4, the apparatus is applied to a cloud server, and includes:
A receiving module 201, configured to receive a first resource planning request reported by a user equipment, where the first resource planning request carries a first planned resource capacity, and the first resource planning request is used to reserve a resource of the first planned resource capacity for the user equipment;
a generating module 202 configured to generate a first resource reservation instance corresponding to the first planned resource capacity based on the first planned resource capacity and a remaining resource capacity of at least one physical host included by the cloud server;
an allocation module 203 is configured to allocate virtual host resources for the user equipment based on the first resource reservation instance.
In another embodiment of the present application, the generating module 202 is configured to perform steps comprising:
acquiring at least one sub-planning resource capacity contained in the first planning resource capacity; respectively acquiring the residual resource capacity corresponding to at least one physical host associated with the cloud server;
respectively carrying out fragment minimum strategy allocation on the at least one sub-planning resource capacity and the residual resource capacity corresponding to the at least one physical host, and determining a corresponding target physical host for each sub-planning resource capacity;
Reserving reserved capacity matched with the corresponding sub-planned resource capacity on each target physical host, and generating the first resource reserved instance based on the at least one target physical host and the corresponding reserved capacity.
In another embodiment of the present application, the generating module 202 is configured to perform steps comprising:
and respectively acquiring the residual resource capacity corresponding to the physical host in a target selection range associated with the cloud server, wherein the target selection range is determined by the maximum allocation capacity corresponding to the user equipment.
In another embodiment of the present application, the generating module 202 is configured to perform steps comprising:
and establishing an association relation between the at least one target physical host and the corresponding reserved capacity, and taking the association relation as the first resource reservation instance.
In another embodiment of the present application, the generating module 202 is configured to perform steps comprising:
respectively arranging and combining all the sub-planning resource capacities to obtain a sequence to be compared for representing the combination of the sub-planning resource capacities;
after each sequence to be compared and the first residual resource capacity corresponding to at least one physical host are subjected to resource pre-allocation planning, detecting the second residual resource of each physical host;
Selecting a target sequence to be compared corresponding to the minimum second residual resource and a corresponding target physical host in each resource pre-allocation plan;
and determining a corresponding target physical host for each sub-planning resource capacity based on the target to-be-compared sequence and the corresponding target physical host.
In another embodiment of the present application, the step of the allocation module 203, which is configured to perform, includes:
receiving a resource opening request reported by the user equipment, wherein the resource opening request comprises a resource capacity to be opened;
detecting whether the to-be-opened resource capacity is matched with the reserved resource capacity corresponding to the user equipment, wherein the reserved resource capacity is reflected by the first resource reservation instance;
and if so, allocating reserved resources corresponding to the reserved resource capacity in the cloud server to the user equipment for use.
In another embodiment of the present application, the step of the allocation module 203, which is configured to perform, includes:
creating at least one initial virtual host for the user device; acquiring each target physical host identifier reserved for the user equipment, wherein the target physical host identifier is contained in the first resource reservation instance;
And mapping the reserved resources of each target physical host identity to the at least one initial virtual host.
In another embodiment of the present application, the step of the allocation module 203, which is configured to perform, includes:
acquiring reserved capacity corresponding to each target physical host identifier reserved for the user equipment, wherein the reserved capacity is contained in the first resource reservation instance;
and detecting whether each sub-resource capacity contained in the resource capacity to be opened is identical with at least one reserved capacity.
In another embodiment of the present application, the generating module 202 is configured to perform steps comprising:
if not, determining a target sub-resource capacity which is not the same as the reserved resource capacity;
allocating resources for the target sub-resource capacity in the residual resource capacity of the target physical host;
and allocating the allocation resources to the user equipment for use.
In another embodiment of the present application, the steps of the receiving module 201 configured to perform include:
receiving a second resource planning request sent by the user equipment, and performing failure processing on the first resource reservation instance;
generating a second resource reservation instance for the user equipment, wherein the second resource reservation instance can meet a second planning resource capacity, and allocating resources for the user equipment based on the two resource reservation instances.
The embodiment of the application also provides the electronic equipment for executing the virtual host resource allocation method. Referring to fig. 5, a schematic diagram of an electronic device according to some embodiments of the present application is shown. As shown in fig. 5, the electronic apparatus 3 includes: a processor 300, a memory 301, a bus 302 and a communication interface 303, the processor 300, the communication interface 303 and the memory 301 being connected by the bus 302; the memory 301 stores a computer program that can be executed on the processor 300, and when the processor 300 executes the computer program, the virtual host resource allocation method provided in any of the foregoing embodiments of the present application is executed.
The memory 301 may include a high-speed random access memory (RAM: random Access Memory), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. The communication connection between the device network element and at least one other network element is achieved through at least one communication interface 303 (which may be wired or wireless), the internet, a wide area network, a local network, a metropolitan area network, etc. may be used.
Bus 302 may be an ISA bus, a PCI bus, an EISA bus, or the like. The buses may be classified as address buses, data buses, control buses, etc. The memory 301 is configured to store a program, and the processor 300 executes the program after receiving an execution instruction, and the method for allocating virtual host resources disclosed in any of the foregoing embodiments of the present application may be applied to the processor 300 or implemented by the processor 300.
The processor 300 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in the processor 300 or by instructions in the form of software. The processor 300 may be a general-purpose processor, including a processor (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present application may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in the memory 301, and the processor 300 reads the information in the memory 301, and in combination with its hardware, performs the steps of the above method.
The electronic device provided by the embodiment of the application and the virtual host resource allocation method provided by the embodiment of the application are out of the same inventive concept, and have the same beneficial effects as the method adopted, operated or realized by the electronic device.
The present embodiment also provides a computer readable storage medium corresponding to the virtual host resource allocation method provided in the foregoing embodiment, referring to fig. 6, the computer readable storage medium is shown as an optical disc 40, on which a computer program (i.e. a program product) is stored, where the computer program, when executed by a processor, performs the virtual host resource allocation method provided in any of the foregoing embodiments.
It should be noted that examples of the computer readable storage medium may also include, but are not limited to, a phase change memory (PRAM), a Static Random Access Memory (SRAM), a Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a flash memory, or other optical or magnetic storage medium, which will not be described in detail herein.
The computer readable storage medium provided in the above embodiments of the present application and the virtual host resource allocation method provided in the embodiments of the present application are the same inventive concept, and have the same advantages as the method adopted, operated or implemented by the application program stored therein.
It should be noted that:
in the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the present application may be practiced without these specific details. In some instances, well-known structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the application, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the application and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the following schematic diagram: i.e., the claimed application requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the present application and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
The foregoing is merely a preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. The virtual host resource allocation method is characterized by being applied to a cloud server and comprising the following steps:
receiving a first resource planning request reported by user equipment, wherein the first resource planning request carries a first planning resource capacity, and the first resource planning request is used for reserving resources of the first planning resource capacity for the user equipment;
Acquiring at least one sub-planning resource capacity contained in the first planning resource capacity; respectively acquiring the residual resource capacity corresponding to at least one physical host associated with the cloud server;
respectively arranging and combining all the sub-planning resource capacities to obtain a sequence to be compared for representing the combination of the sub-planning resource capacities;
after each sequence to be compared and the first residual resource capacity corresponding to at least one physical host are subjected to resource pre-allocation planning, detecting the second residual resource of each physical host;
selecting a target sequence to be compared corresponding to the minimum second residual resource and a corresponding target physical host in each resource pre-allocation plan;
determining a corresponding target physical host for each sub-planning resource capacity based on the target to-be-compared sequence and the corresponding target physical host;
reserving reserved capacity matched with the corresponding sub-planned resource capacity on each target physical host, and generating the first resource reserved instance based on the at least one target physical host and the corresponding reserved capacity;
and allocating virtual host resources for the user equipment based on the first resource reservation instance.
2. The method of claim 1, wherein the respectively obtaining remaining resource capacities corresponding to at least one physical host associated with the cloud server comprises:
and respectively acquiring the residual resource capacity corresponding to the physical host in a target selection range associated with the cloud server, wherein the target selection range is determined by the maximum allocation capacity corresponding to the user equipment.
3. The method of claim 1, wherein the generating the first resource reservation instance based on the at least one target physical host and a corresponding reserved capacity comprises:
and establishing an association relation between the at least one target physical host and the corresponding reserved capacity, and taking the association relation as the first resource reservation instance.
4. The method of claim 1, wherein the allocating resources for the user device based on the first resource reservation instance comprises:
receiving a resource opening request reported by the user equipment, wherein the resource opening request comprises a resource capacity to be opened;
detecting whether the to-be-opened resource capacity is matched with the reserved resource capacity corresponding to the user equipment, wherein the reserved resource capacity is reflected by the first resource reservation instance;
And if so, allocating reserved resources corresponding to the reserved resource capacity in the cloud server to the user equipment for use.
5. The method of claim 4, wherein the allocating reserved resources in the cloud server corresponding to the reserved resource capacity for use by the user device comprises:
creating at least one initial virtual host for the user device; acquiring each target physical host identifier reserved for the user equipment, wherein the target physical host identifier is contained in the first resource reservation instance;
and mapping the reserved resources of each target physical host identity to the at least one initial virtual host.
6. The method of claim 4, wherein the detecting whether the to-be-opened resource capacity matches the reserved resource capacity corresponding to the user comprises:
acquiring reserved capacity corresponding to each target physical host identifier reserved for the user equipment, wherein the reserved capacity is contained in the first resource reservation instance;
and detecting whether each sub-resource capacity contained in the resource capacity to be opened is identical with at least one reserved capacity.
7. The method of claim 6, further comprising, after said detecting whether each sub-resource capacity included in said to-be-opened resource capacity is the same as at least one reserved capacity:
If not, determining a target sub-resource capacity which is not the same as the reserved resource capacity;
allocating resources for the target sub-resource capacity in the residual resource capacity of the target physical host;
and allocating the allocation resources to the user equipment for use.
8. The method of claim 4, further comprising, prior to said receiving a resource provisioning request reported by said user device:
receiving a second resource planning request sent by the user equipment, and performing failure processing on the first resource reservation instance;
generating a second resource reservation instance for the user equipment, wherein the second resource reservation instance can meet a second planning resource capacity, and allocating resources for the user equipment based on the two resource reservation instances.
9. A virtual host resource allocation apparatus, applied to a cloud server, comprising:
the receiving module is configured to receive a first resource planning request reported by the user equipment, wherein the first resource planning request carries a first planning resource capacity, and the first resource planning request is used for reserving resources of the first planning resource capacity for the user equipment;
a generation module configured to obtain at least one sub-planned resource capacity comprised by the first planned resource capacity; respectively acquiring the residual resource capacity corresponding to at least one physical host associated with the cloud server;
Respectively arranging and combining all the sub-planning resource capacities to obtain a sequence to be compared for representing the combination of the sub-planning resource capacities;
after each sequence to be compared and the first residual resource capacity corresponding to at least one physical host are subjected to resource pre-allocation planning, detecting the second residual resource of each physical host;
selecting a target sequence to be compared corresponding to the minimum second residual resource and a corresponding target physical host in each resource pre-allocation plan;
determining a corresponding target physical host for each sub-planning resource capacity based on the target to-be-compared sequence and the corresponding target physical host;
reserving reserved capacity matched with the corresponding sub-planned resource capacity on each target physical host, and generating the first resource reserved instance based on the at least one target physical host and the corresponding reserved capacity;
an allocation module configured to allocate virtual host resources for the user equipment based on the first resource reservation instance.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor runs the computer program to implement the method of any one of claims 1-8.
11. A computer readable storage medium having stored thereon a computer program, wherein the program is executed by a processor to implement the method of any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211058035.1A CN115499388B (en) | 2022-08-30 | 2022-08-30 | Virtual host resource allocation method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211058035.1A CN115499388B (en) | 2022-08-30 | 2022-08-30 | Virtual host resource allocation method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115499388A CN115499388A (en) | 2022-12-20 |
| CN115499388B true CN115499388B (en) | 2024-04-12 |
Family
ID=84469241
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211058035.1A Active CN115499388B (en) | 2022-08-30 | 2022-08-30 | Virtual host resource allocation method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115499388B (en) |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008022594A1 (en) * | 2006-08-18 | 2008-02-28 | Huawei Technologies Co., Ltd. | A method and apparatus of allocating bandwidth resource |
| CN102014159A (en) * | 2010-11-29 | 2011-04-13 | 华中科技大学 | Layered resource reservation system under cloud computing environment |
| CN102521715A (en) * | 2011-12-29 | 2012-06-27 | 上海华东电脑股份有限公司 | Method and system capable of controlling resource allocation of application system |
| WO2013042078A1 (en) * | 2011-09-22 | 2013-03-28 | International Business Machines Corporation | Provisioning of resources |
| CN104461744A (en) * | 2014-12-18 | 2015-03-25 | 曙光云计算技术有限公司 | Resource allocation method and device |
| CN105843670A (en) * | 2016-03-22 | 2016-08-10 | 浙江大学 | Cloud platform based virtual cluster deployment and integration method |
| US9569277B1 (en) * | 2016-01-29 | 2017-02-14 | International Business Machines Corporation | Rebalancing virtual resources for virtual machines based on multiple resource capacities |
| CN106712998A (en) * | 2015-11-18 | 2017-05-24 | 中兴通讯股份有限公司 | Cloud platform resource management method, device and system |
| CN107171976A (en) * | 2016-03-07 | 2017-09-15 | 中兴通讯股份有限公司 | A kind of method and apparatus for realizing resource reservation |
| US9774489B1 (en) * | 2010-09-29 | 2017-09-26 | Amazon Technologies, Inc. | Allocating computing resources according to reserved capacity |
| CN107241421A (en) * | 2017-06-21 | 2017-10-10 | 北京云联万维技术有限公司 | A kind of cloud host resource method for obligating and device |
| US10129094B1 (en) * | 2014-03-13 | 2018-11-13 | Amazon Technologies, Inc. | Variable computing capacity |
| US10200304B1 (en) * | 2015-09-23 | 2019-02-05 | EMC IP Holding Company LLC | Stateless witness for multiple sites |
| CN111831450A (en) * | 2020-07-20 | 2020-10-27 | 北京百度网讯科技有限公司 | Method, device, electronic equipment and storage medium for allocating server resources |
| WO2021098182A1 (en) * | 2019-11-20 | 2021-05-27 | 上海商汤智能科技有限公司 | Resource management method and apparatus, electronic device and storage medium |
| CN114090240A (en) * | 2020-11-10 | 2022-02-25 | 广州汇量网络科技股份有限公司 | Scheduling method, device, equipment and storage medium for public cloud computing resources |
| WO2022053021A1 (en) * | 2020-09-10 | 2022-03-17 | 华为云计算技术有限公司 | Instance creation method, device and system |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104158841B (en) * | 2014-07-09 | 2017-08-15 | 中电科华云信息技术有限公司 | Computational resource allocation method |
| US10693806B2 (en) * | 2015-03-11 | 2020-06-23 | Vmware, Inc. | Network bandwidth reservations for system traffic and virtual computing instances |
| CN106293869A (en) * | 2015-05-26 | 2017-01-04 | 阿里巴巴集团控股有限公司 | A kind of resource allocation methods and device |
| US10061652B2 (en) * | 2016-07-26 | 2018-08-28 | Microsoft Technology Licensing, Llc | Fault recovery management in a cloud computing environment |
| CN108429768A (en) * | 2018-05-29 | 2018-08-21 | 新华三云计算技术有限公司 | Cloud data analysis service manages system, method and cloud server |
-
2022
- 2022-08-30 CN CN202211058035.1A patent/CN115499388B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008022594A1 (en) * | 2006-08-18 | 2008-02-28 | Huawei Technologies Co., Ltd. | A method and apparatus of allocating bandwidth resource |
| US9774489B1 (en) * | 2010-09-29 | 2017-09-26 | Amazon Technologies, Inc. | Allocating computing resources according to reserved capacity |
| CN102014159A (en) * | 2010-11-29 | 2011-04-13 | 华中科技大学 | Layered resource reservation system under cloud computing environment |
| WO2013042078A1 (en) * | 2011-09-22 | 2013-03-28 | International Business Machines Corporation | Provisioning of resources |
| CN102521715A (en) * | 2011-12-29 | 2012-06-27 | 上海华东电脑股份有限公司 | Method and system capable of controlling resource allocation of application system |
| US10129094B1 (en) * | 2014-03-13 | 2018-11-13 | Amazon Technologies, Inc. | Variable computing capacity |
| CN104461744A (en) * | 2014-12-18 | 2015-03-25 | 曙光云计算技术有限公司 | Resource allocation method and device |
| US10200304B1 (en) * | 2015-09-23 | 2019-02-05 | EMC IP Holding Company LLC | Stateless witness for multiple sites |
| CN106712998A (en) * | 2015-11-18 | 2017-05-24 | 中兴通讯股份有限公司 | Cloud platform resource management method, device and system |
| US9569277B1 (en) * | 2016-01-29 | 2017-02-14 | International Business Machines Corporation | Rebalancing virtual resources for virtual machines based on multiple resource capacities |
| CN107171976A (en) * | 2016-03-07 | 2017-09-15 | 中兴通讯股份有限公司 | A kind of method and apparatus for realizing resource reservation |
| CN105843670A (en) * | 2016-03-22 | 2016-08-10 | 浙江大学 | Cloud platform based virtual cluster deployment and integration method |
| CN107241421A (en) * | 2017-06-21 | 2017-10-10 | 北京云联万维技术有限公司 | A kind of cloud host resource method for obligating and device |
| WO2021098182A1 (en) * | 2019-11-20 | 2021-05-27 | 上海商汤智能科技有限公司 | Resource management method and apparatus, electronic device and storage medium |
| CN111831450A (en) * | 2020-07-20 | 2020-10-27 | 北京百度网讯科技有限公司 | Method, device, electronic equipment and storage medium for allocating server resources |
| WO2022053021A1 (en) * | 2020-09-10 | 2022-03-17 | 华为云计算技术有限公司 | Instance creation method, device and system |
| CN114090240A (en) * | 2020-11-10 | 2022-02-25 | 广州汇量网络科技股份有限公司 | Scheduling method, device, equipment and storage medium for public cloud computing resources |
Non-Patent Citations (1)
| Title |
|---|
| 云计算业务平台的虚拟机容量规划研究;周振勇;;电信网技术(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115499388A (en) | 2022-12-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10701139B2 (en) | Life cycle management method and apparatus | |
| US10545781B2 (en) | Dynamically deployed virtual machine | |
| US9645840B2 (en) | User-defined pools | |
| US9634958B2 (en) | Burst capacity for user-defined pools | |
| US9569275B2 (en) | Allocation and reservation of virtualization-based resources | |
| US11710206B2 (en) | Session coordination for auto-scaled virtualized graphics processing | |
| JP2018526916A (en) | Resource management method and apparatus | |
| CN110752937B (en) | Physical function multiplexing method and device and computer storage medium | |
| EP3629160B1 (en) | Method and device for managing vnf instantiation | |
| CN114138405A (en) | Virtual machine creating method and device, electronic equipment and storage medium | |
| CN113849260A (en) | Instance processing core allocation method and device | |
| CN115499388B (en) | Virtual host resource allocation method, device, equipment and storage medium | |
| WO2021013185A1 (en) | Virtual machine migration processing and strategy generation method, apparatus and device, and storage medium | |
| CN112181637A (en) | Memory resource allocation method and device | |
| US20140297867A1 (en) | Capacity merging for user-defined pools | |
| US8935659B2 (en) | Method for generating software | |
| US11360756B2 (en) | Processing unit subtype configuration | |
| US10642497B2 (en) | System, method and computer program product for instantiating blocks of a solid-state disk to include different flash characteristics | |
| US11086807B2 (en) | Allocating address space | |
| CN112583653A (en) | Pressure testing method and device and computer storage medium | |
| JP2016519368A (en) | User-defined pool | |
| US11423377B1 (en) | Lendable computing resources | |
| JP2018106709A (en) | METHOD OF PROCESSING OpenCL KERNEL AND COMPUTING DEVICE TO IMPLEMENT THE SAME | |
| US20240073111A1 (en) | Cloud Service Deployment Method of Cloud Platform and Related Device | |
| CN115904614A (en) | Container cloud resource scheduling method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |