CN113760528A - Resource processing method and device based on multi-cloud platform - Google Patents
Resource processing method and device based on multi-cloud platform Download PDFInfo
- Publication number
- CN113760528A CN113760528A CN202011553672.7A CN202011553672A CN113760528A CN 113760528 A CN113760528 A CN 113760528A CN 202011553672 A CN202011553672 A CN 202011553672A CN 113760528 A CN113760528 A CN 113760528A
- Authority
- CN
- China
- Prior art keywords
- resource
- cloud platform
- service system
- target service
- cloud
- 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.)
- Pending
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000004458 analytical method Methods 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 10
- 238000010586 diagram Methods 0.000 description 15
- 230000006870 function Effects 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 230000005012 migration Effects 0.000 description 6
- 238000013508 migration Methods 0.000 description 6
- 238000011084 recovery Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000033772 system development Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5077—Logical partitioning of resources; Management or configuration of virtualized resources
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a resource processing method and device based on a multi-cloud platform, and relates to the technical field of computers. One embodiment of the method comprises: receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request; based on a resource balance strategy, determining resource adjustment data corresponding to a plurality of cloud platforms under a target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system; and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize the resource balance of the plurality of cloud platforms. According to the embodiment, the resource balance of the multi-cloud platform can be realized, the accuracy of the resource balance can be improved, and the resource arrangement efficiency is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a resource processing method and device based on a multi-cloud platform.
Background
The multi-cloud technology is that a user can simultaneously own a plurality of cloud platforms, and can effectively organize and manage IaaS (i.e. a service layer providing computing, storage and network services on the cloud platform, such as a cloud host) and PaaS (i.e. a service layer providing system development capability support services on the cloud platform, such as a database) resources on the cloud platforms based on the amount of resources purchased by the user, and build a business system of the user.
Because the performances provided by the cloud platforms with the same configuration are likely to be different, and the cost performance, the provided resources and the resource capacity of the same cloud platform at different time intervals are also changed, it is difficult to consider the resource characteristics of multiple clouds comprehensively at the initial stage of the design of the service system, so that the phenomena of unnecessary resource waste or service system performance not meeting the requirements are caused.
Currently, the following methods are mainly used to achieve resource balance: firstly, the problems of high difficulty and high cost exist through a migration tool and depending on the operation and implementation of technical personnel, and the business system after migration cannot be ensured to have the deployment which is more consistent with performance and cost strategies; and secondly, re-researching and developing the service system. In addition, the existing method has the problems that the resource balance cannot be accurately realized, the dynamic balance of the resources cannot be realized, and the resource sorting efficiency is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a resource processing method and device based on a multi-cloud platform, which can implement resource balance of the multi-cloud platform, and can also improve accuracy of the resource balance and improve resource arrangement efficiency.
To achieve the above object, according to an aspect of the embodiments of the present invention, a resource processing method based on a multi-cloud platform is provided.
The resource processing method based on the multi-cloud platform comprises the following steps: receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request; based on the resource balancing strategy, determining resource adjustment data corresponding to the plurality of cloud platforms under the target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system; and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize resource balance of the plurality of cloud platforms.
Optionally, the method further comprises: acquiring the target service system and a first cloud platform according to a request for newly building the target service system, newly building cloud resources required by the target service system on the first cloud platform, and deploying the target service system on the cloud resources; judging whether the target service system has an expandable cloud platform, if so, transmitting system data corresponding to the target service system to the expandable cloud platform; storing system data corresponding to the target service system to a second cloud platform; the system data comprises a system image file, a program package and a configuration file corresponding to the service system.
Optionally, the determining whether the target service system has an extensible cloud platform, and if so, transmitting system data corresponding to the target service system to the extensible cloud platform includes: acquiring an access flow source corresponding to the target service system, and judging whether a cloud platform with an access distance smaller than that corresponding to the first cloud platform exists or not according to the access flow source; if so, confirming that the cloud platform with the access distance smaller than the access distance corresponding to the first cloud platform is the extensible cloud platform, and if not, confirming that the extensible cloud platform does not exist; and judging whether a cloud platform with available resources larger than a preset resource threshold exists, if so, determining that the cloud platform with the available resource amount larger than the preset resource amount is the expandable cloud platform, and if not, determining that the expandable cloud platform does not exist.
Optionally, the adjusting, according to the resource adjustment data, the resource data corresponding to the plurality of cloud platforms in the target service system includes: acquiring a cloud platform needing to increase resources according to the resource adjustment data; judging whether the cloud platform needing to be added with resources is the extensible cloud platform; if so, adjusting the resources of the cloud platform needing to increase the resources; if not, transmitting the system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to add resources, and then adjusting the resources of the cloud platform needing to add resources.
Optionally, after adjusting the resource data corresponding to the plurality of cloud platforms in the target service system according to the resource adjustment data, the method further includes: analyzing the operation condition of the target service system to obtain an analysis result; judging whether the resource balance strategy is met or not according to the analysis result; if so, confirming that the resource balance of the multi-cloud platform is realized; if not, continuing to adjust the resource data corresponding to the plurality of cloud platforms under the target service system so as to realize the resource balance of the plurality of cloud platforms.
Optionally, the method further comprises: and under the condition that the target service system is a core service system, storing system data corresponding to the target service system to each cloud platform.
Optionally, the method further comprises: if a fault cloud platform is detected and the target service system is a core service system, acquiring a target cloud platform corresponding to the fault cloud platform, wherein the target cloud platform is a cloud platform except the fault cloud platform; judging whether the target service system is operated on the target cloud platform or not; if so, adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform; if not, starting the target service system on the target cloud platform based on the system data corresponding to the target service system, and then adding the resource data corresponding to the fault cloud platform under the target service system on the target cloud platform.
To achieve the above object, according to another aspect of the embodiments of the present invention, a resource processing apparatus based on a multi-cloud platform is provided.
The resource processing device based on the multi-cloud platform of the embodiment of the invention comprises: the policy management module is used for receiving a resource processing request of the multi-cloud platform and acquiring a target service system and a resource balancing policy corresponding to the target service system according to the resource processing request; the resource management module is used for determining resource adjustment data corresponding to a plurality of cloud platforms under the target service system according to resource capacity data corresponding to the cloud platforms and resource data corresponding to the cloud platforms under the target service system based on the resource balance strategy; and the resource adjusting module is used for adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjusting data so as to realize the resource balance of the plurality of cloud platforms.
Optionally, the resource management module further includes a resource preset management module, configured to: acquiring the target service system and a first cloud platform according to a request for newly building the target service system, newly building cloud resources required by the target service system on the first cloud platform, and deploying the target service system on the cloud resources; judging whether the target service system has an expandable cloud platform, if so, transmitting system data corresponding to the target service system to the expandable cloud platform; storing system data corresponding to the target service system to a second cloud platform; the system data comprises a system image file, a program package and a configuration file corresponding to the service system.
Optionally, the resource preset management module is further configured to: acquiring an access flow source corresponding to the target service system, and judging whether a cloud platform with an access distance smaller than that corresponding to the first cloud platform exists or not according to the access flow source; if so, confirming that the cloud platform with the access distance smaller than the access distance corresponding to the first cloud platform is the extensible cloud platform, and if not, confirming that the extensible cloud platform does not exist; and judging whether a cloud platform with available resources larger than a preset resource threshold exists, if so, determining that the cloud platform with the available resource amount larger than the preset resource amount is the expandable cloud platform, and if not, determining that the expandable cloud platform does not exist.
Optionally, the resource adjusting module is further configured to: acquiring a cloud platform needing to increase resources according to the resource adjustment data; judging whether the cloud platform needing to be added with resources is the extensible cloud platform; if so, adjusting the resources of the cloud platform needing to increase the resources; if not, transmitting the system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to add resources, and then adjusting the resources of the cloud platform needing to add resources.
Optionally, the resource management module further includes a resource feedback management module, configured to: analyzing the operation condition of the target service system to obtain an analysis result; judging whether the resource balance strategy is met or not according to the analysis result; if so, confirming that the resource balance of the multi-cloud platform is realized; if not, continuing to adjust the resource data corresponding to the plurality of cloud platforms under the target service system so as to realize the resource balance of the plurality of cloud platforms.
Optionally, the resource preset management module is further configured to: and under the condition that the target service system is a core service system, storing system data corresponding to the target service system to each cloud platform.
Optionally, the apparatus further includes a disaster recovery management module, configured to: if a fault cloud platform is detected and the target service system is a core service system, acquiring a target cloud platform corresponding to the fault cloud platform, wherein the target cloud platform is a cloud platform except the fault cloud platform; judging whether the target service system is operated on the target cloud platform or not; if so, adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform; if not, starting the target service system on the target cloud platform based on the system data corresponding to the target service system, and then adding the resource data corresponding to the fault cloud platform under the target service system on the target cloud platform.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by one or more processors, the one or more processors implement the resource processing method based on the multi-cloud platform of the embodiment of the invention.
To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention stores thereon a computer program, and when the computer program is executed by a processor, the resource processing method based on a multi-cloud platform of an embodiment of the present invention is implemented.
One embodiment of the above invention has the following advantages or benefits: the resource balancing method and the device have the advantages that based on the acquired resource balancing strategy, the resource adjusting data corresponding to the cloud platforms under the service system are determined by combining the resource capacity data corresponding to the cloud platforms, then the resource data corresponding to the cloud platforms under the service system are adjusted according to the determined resource adjusting data, so that the resource balancing of the cloud platforms can be realized, the problems that in the prior art, the difficulty is high and the cost is high due to the fact that resource balancing needs to be realized through a migration tool are solved, the accuracy of the resource balancing can be improved, and the resource sorting efficiency is improved.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of main steps of a resource processing method based on a multi-cloud platform according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating the main processes of creating new resources and provisioning resources according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a main flow of a resource processing method based on a multi-cloud platform according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of main modules of a resource processing apparatus based on a multi-cloud platform according to an embodiment of the present invention
FIG. 5 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 6 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of main steps of a resource processing method based on a multi-cloud platform according to an embodiment of the present invention. As a reference embodiment of the present invention, as shown in fig. 1, the main steps of the resource processing method based on the multi-cloud platform may include steps S101 to S103.
Step S101: and receiving a resource processing request of the multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request.
A user adopts cloud platform products provided by a plurality of cloud platform manufacturers, accounts are established on a plurality of cloud platforms, and a service system is built on a plurality of cloud platform systems, so that the purposes of providing services for terminal users in different regions and guaranteeing high availability of the system are achieved. However, due to the characteristic of cloudy resources, the actual resource service capability is reduced at a higher resource cost, which may cause unnecessary resource waste or undesirable performance of the service system. Therefore, the resources corresponding to the multiple cloud platforms need to be sorted to achieve resource balance corresponding to the multiple cloud platforms. The resource processing request of the multiple cloud platforms refers to a request for sorting resources corresponding to the multiple platforms, that is, a request for realizing resource balance corresponding to the multiple platforms. After receiving a resource processing request of a plurality of cloud platforms, a target service system corresponding to the resource processing request and a resource balancing policy corresponding to the target service system may be obtained, that is, the target service system deployed on the plurality of cloud platforms needs to conform to the resource balancing policy. On the other hand, the resources in the embodiment of the present invention refer to resources on a cloud platform, that is, resources such as a cloud host, a cloud storage, and a cloud network on an IaaS layer, and resources such as a cloud database and a cloud middleware on a PaaS layer.
In the embodiment of the invention, the resource balancing strategy can be one or a combination of multiple strategies of a cost performance strategy, a user experience strategy and a low cost strategy. The cost performance strategy is to determine resources corresponding to each cloud platform under the condition that the high-speed access requirement of the service system can be met, so that the resource cost is minimum; the user experience strategy is a strategy for improving the performance of the whole service system, and can realize the coordination and consistency of resources such as calculation, storage, network, data, cache and the like, eliminate the performance bottleneck of user access and bear larger service volume; the low-cost strategy is to select the resource distribution scheme with the lowest cost under the condition of bearing the access requirement of the service system, but cannot ensure that the user can access the system at a high speed. In the embodiment of the invention, the resource balance strategy can be one or a combination of multiple strategies of a cost performance strategy, a user experience strategy and a low cost strategy, so that a user can better use a cloud environment and the user experience is improved.
Step S102: and determining resource adjustment data corresponding to the plurality of cloud platforms under the target service system according to the resource capacity data corresponding to the plurality of cloud platforms and the resource data corresponding to the plurality of cloud platforms under the target service system based on the resource balance strategy.
The resource capacity is the capacity of measuring the performance, stability, function and the like of the external output service of the resources on the cloud platform, and can be used for measuring the actual technical value of the resources on the cloud platform for the user. In addition, the resource capacity data corresponding to the cloud platforms can be obtained by measuring and calculating the cloud platforms by using the multi-cloud resource capacity calculator. Specifically, the resource capacities of the cloud platforms can be measured at the same time in a random sampling manner, and the resource capacities are standardized, so that the resource capacities corresponding to the cloud platforms are measured under a unified standard. According to the resource balancing strategy and the resource capacity data corresponding to the cloud platforms, the resource demand data corresponding to the cloud platforms under the target service system can be obtained. Resource demand data can be understood as: in order to meet the resource balance strategy, the resource distribution schemes corresponding to the cloud platforms are adopted. On the other hand, the resource data corresponding to the multiple cloud platforms in the target service system are as follows: and the resource distribution situation corresponding to a plurality of cloud platforms under the current target service system. Therefore, the resource adjustment data corresponding to the multiple cloud platforms under the target service system, that is, how the resource corresponding to each cloud platform under the target service system needs to be adjusted, can be calculated and obtained through the resource demand data corresponding to the multiple cloud platforms under the target service system and the resource distribution condition corresponding to the multiple cloud platforms under the current target service system.
For ease of understanding, the following examples are provided for illustration. The method includes the steps that a certain target service system S needs to create 1000 virtual machine resources on three cloud platforms A, B and C, 300 virtual machine resources need to be created on the cloud platform A according to cost performance strategies corresponding to the target service system S and resource capacity data corresponding to the three cloud platforms A, B and C, 450 virtual machine resources are created on the cloud platform B, and 250 virtual machine resources are created on the cloud platform C. At present, for the target service system S, 200 virtual machine resources are created on the a cloud platform, 600 virtual machine resources are created on the B cloud platform, and 200 virtual machine resources are created on the C cloud platform. Then, for the target service system S, the resource adjustment data corresponding to the cloud platform a is to add 100 virtual machine resources, the resource adjustment data corresponding to the cloud platform B is to reduce 150 virtual machine resources, and the resource adjustment data corresponding to the cloud platform C is to add 50 virtual machine resources.
Step S103: and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize the resource balance of the plurality of cloud platforms.
After the resource adjustment data is obtained, that is, after the resource adjustment data corresponding to each cloud platform is obtained, the resource data corresponding to a plurality of cloud platforms in the target service system can be adjusted, so that the resource balance of the plurality of cloud platforms is realized. According to the example, for the A cloud platform, 100 virtual machine resources corresponding to the target service system S are added; for the B cloud platform, reducing 150 virtual machine resources corresponding to the target service system S; and for the C cloud platform, 50 virtual machine resources corresponding to the target service system S are added.
Further, after adjusting the resource data corresponding to the plurality of cloud platforms in the target service system according to the resource adjustment data, the resource processing method based on the plurality of cloud platforms may further include: analyzing the operation condition of the target service system to obtain an analysis result; judging whether the resource balance strategy is met or not according to the analysis result; if so, confirming that the resource balance of the multi-cloud platform is realized; if not, continuing to adjust the resource data corresponding to the multiple cloud platforms under the target service system so as to realize the resource balance of the multiple cloud platforms.
And gradually adjusting the resource data corresponding to the plurality of cloud platforms in the target service system according to the resource adjustment data, and gradually switching the access flow according to the adjusted resource distribution condition. Then, the resource operation condition corresponding to the adjusted target service system can be analyzed, and whether the resource data corresponding to the multiple cloud platforms in the current target service system meet the resource balance policy or not is judged according to the analysis result. If so, confirming that the resource balance of the multi-cloud platform is realized, and if not, continuously adjusting the resource data corresponding to the plurality of cloud platforms under the target service system to realize the resource balance of the multi-cloud platform. The resource balance is carried out through the resource balance strategy, the operation condition after balance can be analyzed, and feedback adjustment is carried out according to the analysis result, so that the effectiveness of the resource balance system and the adaptability to the multi-cloud platform environment are continuously improved.
According to the resource processing method based on the multi-cloud platform, the resource adjustment data corresponding to the plurality of cloud platforms under the service system can be determined based on the acquired resource balance strategy and in combination with the resource capacity data corresponding to the plurality of cloud platforms, and then the resource data corresponding to the plurality of cloud platforms under the service system can be adjusted according to the determined resource adjustment data, so that the resource balance of the multi-cloud platform can be realized, the problems of high difficulty and high cost caused by the fact that resource balance needs to be realized through a migration tool in the prior art are solved, the accuracy of the resource balance can be improved, and the resource arrangement efficiency is improved.
In order to realize the resource balance of the multi-cloud platform, the resource processing method based on the multi-cloud platform further comprises the process of creating resources and presetting the resources. The preset resource means that system data such as a system image file, a program package, a configuration file and the like corresponding to the service system are placed on a cloud platform without a service system running environment in advance, so that the service system resource can be directly generated through the system data corresponding to the service system when the service system resource needs to be established. Fig. 2 is a schematic diagram of the main processes of creating a new resource and presetting the resource according to the embodiment of the present invention. As a reference embodiment of the present invention, the main process of creating new resources and presetting resources may include:
step S201: according to the request of the newly-built target service system, the target service system and the first cloud platform are obtained, cloud resources required by the newly-built target service system are built on the first cloud platform, and the target service system is deployed on the cloud resources.
In the embodiment of the invention, the first cloud platform can be randomly selected from a plurality of cloud platforms, can be selected according to actual requirements and can be selected according to experience. Also, the number of the first cloud platforms is one or more. The cloud resources required by the target service system are virtual cloud resources required for realizing the functions of the service system, such as virtual computing resources, virtual storage resources, virtual network resources and the like; that is, the IaaS and PaaS resources, such as computation, storage, network, database, etc., allocated for the target business system. Cloud resources required by the target service system are newly built on the first cloud platform, so that service functions provided by the target service system can be met. And then, a target service system is built on the newly-built cloud resources, so that the service module and the resource capacity can be tested.
Step S202: and judging whether the target service system has the expandable cloud platform, if so, executing the step S203, and transmitting system data corresponding to the target service system to the expandable cloud platform.
The extensible cloud platform is a cloud platform capable of performing resource extension on resources corresponding to the target service system. Further, whether the target business system has the extensible cloud platform or not can be judged in the following two ways.
Acquiring an access flow source corresponding to a target service system, and judging whether a cloud platform with an access distance smaller than that corresponding to a first cloud platform exists or not according to the access flow source; if so, confirming that the cloud platform with the access distance smaller than the access distance corresponding to the first cloud platform is the expandable cloud platform, and if not, confirming that the expandable cloud platform does not exist.
After the deployment of the target service system is completed, the target service system can normally provide services to the outside, so that an access traffic source of the target service system can be obtained based on a network access condition, for example, if most access users are from a city of D1, the access traffic source can be considered as a city of D1. Then, whether a cloud platform with an access distance smaller than that corresponding to the first cloud platform exists is judged, that is, whether a cloud platform closer to the access user exists is judged. For example, the access traffic source is the city D1, the first cloud platform is the cloud platform located in the city D2, and considering that the access distance between the cloud platform located in the city D1 and the access user (i.e., the access user whose access traffic source is the city D1) is smaller than the access distance between the cloud platform located in the city D2 and the access user, the cloud platform located in the city D1 is the scalable cloud platform.
And (II) judging whether a cloud platform with available resources larger than a preset resource threshold exists, if so, determining that the cloud platform with the available resource amount larger than the preset resource amount is an expandable cloud platform, and if not, determining that the expandable cloud platform does not exist. And if the available resources corresponding to a certain cloud platform are larger than the preset resource threshold value, the cloud platform is an extensible cloud platform.
The extensible cloud platform corresponding to the target service system is a cloud platform which preferentially adds resources to the target service system. Therefore, after the extensible cloud platform corresponding to the target service system is obtained, the system data corresponding to the target service system can be transmitted to the extensible cloud platform, that is, the system data such as the system image file, the program package, the configuration file and the like corresponding to the target service system are transmitted to the extensible cloud platform, so that when the target service system needs to be operated on the extensible platform, the system data corresponding to the target service system can be quickly utilized to generate a system resource instance, resource switching can be quickly carried out, and the resource sorting efficiency is further improved.
Step S204: the system data corresponding to the target service system is stored on the second cloud platform, and resource presetting can be realized, so that when the service system resources need to be established, the system data can be acquired from the second cloud platform, and then the target service system is operated by directly utilizing the acquired system data. The second cloud platform is a cloud platform without a target service system operation environment, so that the second cloud platform cannot operate the target service system, and the problem of system data loss corresponding to the target service system caused by the failure of the second cloud platform can be avoided.
In addition, it should be noted that the execution sequence of step S204 may be adjusted according to the actual situation, and may be executed after step S201.
The resource adjustment data is the amount of resources which need to be increased or decreased and corresponds to each cloud platform under the target service system. For example, for the cloud platform a, 100 virtual machine resources corresponding to the target service system S are added; for the B cloud platform, reducing 150 virtual machine resources corresponding to the target service system S; and for the C cloud platform, 50 virtual machine resources corresponding to the target service system S are added. For a certain cloud platform, resource data corresponding to the cloud platform under the target service system needs to be reduced, and then resource reduction is directly performed. However, for a certain platform, resource data corresponding to the cloud platform under the target service system needs to be added, and then it needs to be determined whether the cloud platform has system data corresponding to the target service system. As described above, the system data corresponding to the target service system is transmitted to the extensible cloud platform, so that it can be determined whether the cloud platform is the extensible cloud platform. Therefore, as a reference embodiment of the present invention, adjusting resource data corresponding to a plurality of cloud platforms in a target service system according to resource adjustment data may include: acquiring a cloud platform needing to increase resources according to the resource adjustment data; judging whether the cloud platform needing to be added with resources is an extensible cloud platform; if so, adjusting the resources of the cloud platform needing to increase the resources; and if not, transmitting system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to add the resources, and then adjusting the resources of the cloud platform needing to add the resources.
Fig. 3 is a schematic diagram of a main flow of a resource processing method based on a multi-cloud platform according to an embodiment of the present invention. As shown in fig. 3, the main flow of the resource processing method based on the multi-cloud platform may include:
step S301, receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request;
step S302, based on a resource balance strategy, determining resource adjustment data corresponding to a plurality of cloud platforms under a target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system;
step S303, acquiring a cloud platform needing to increase resources and a cloud platform needing to reduce resources according to the resource adjustment data;
step S304, judging whether the cloud platform needing to be added with resources is an expandable cloud platform, if so, executing step S306, and if not, executing step S305;
step S305, transmitting system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to increase resources;
step S306, increasing resources of the cloud platform needing to increase resources, and reducing resources of the cloud platform needing to reduce resources;
step S307, analyzing the operation condition of the target service system to obtain an analysis result;
step S308, judging whether the resource balance strategy is met or not according to the analysis result, if so, executing step S309, and if not, executing step S310;
step S309, confirming the realization of the resource balance of the multi-cloud platform;
step S310, continuously adjusting resource data corresponding to a plurality of cloud platforms in the target service system, so as to implement resource balance of the plurality of cloud platforms.
It should be noted that the extensible cloud platform and the second cloud platform in step S301 to step S310 are already described in detail in step S201 to step S204 above, and are not specifically described here.
The resource processing method based on the multi-cloud platform further comprises a disaster recovery processing process. Specifically, after a certain cloud platform fails, a plurality of cloud platforms except the failed cloud platform may be subjected to resource arrangement, so that resource balance is realized. And if the fault cloud platform is monitored to recover to normal work, the plurality of cloud platforms including the fault cloud platform are subjected to resource arrangement, and resource balance is achieved again. In consideration of the existence of a core service system, that is, a service system specified by a user and required to be kept accessed in a disaster, if a cloud platform fails, resources corresponding to the core service system running on the cloud platform that fails need to be adjusted in a short time. Therefore, in the embodiment of the present invention, when the target service system is the core service system, the system data corresponding to the target service system is stored to each cloud platform.
Further, if a fault cloud platform is detected and a target service system is a core service system, acquiring a target cloud platform corresponding to the fault cloud platform, wherein the target cloud platform is a cloud platform other than the fault cloud platform; judging whether a target service system is operated on a target cloud platform; if so, adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform; if not, starting the target service system on the target cloud platform based on the system data corresponding to the target service system, and then adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform.
For ease of understanding, the disaster recovery process is described in detail below.
a. When a certain cloud platform is detected to be out of order, acquiring whether a core service system is operated on the cloud platform with the failure;
b. if the core service system is not operated on the cloud platform with the fault, the resource arrangement can be carried out on the cloud platforms except the cloud platform with the fault so as to realize the resource balance, and if the cloud platform with the fault is monitored to recover the normal work, the resource arrangement is carried out on the cloud platforms including the cloud platform with the fault so as to realize the resource balance again;
c. if the core service system runs on the cloud platform with the fault, judging whether the core service system runs on the cloud platform except the cloud platform with the fault;
c1. if the core service system is operated on the cloud platform except the fault cloud platform, resource data corresponding to the cloud platform with the fault under the core service system can be added on the cloud platform except the fault cloud platform;
c2. if the core service system is not operated on the cloud platform except the fault cloud platform, the core service system is automatically operated, and then resource data corresponding to the cloud platform with the fault under the core service system is added on the cloud platform except the fault cloud platform;
c3. after c1 and c2, resource sorting may be performed on the plurality of cloud platforms other than the failed cloud platform to achieve resource balance, and if it is monitored that the failed cloud platform recovers to normal operation, resource sorting may be performed on the plurality of cloud platforms including the failed cloud platform to achieve resource balance again.
The resource arrangement method based on the multi-cloud platform comprises a disaster recovery processing flow, and can ensure that after a certain cloud platform in the multi-cloud environment breaks down, service systems can be quickly recovered based on resources on other cloud platforms, and service capacity is provided.
Fig. 4 is a schematic diagram of main modules of a resource processing apparatus based on a multi-cloud platform according to an embodiment of the present invention. As shown in fig. 4, the main modules of the resource processing apparatus 400 based on the multi-cloud platform may include: a policy management module 401, a resource management module 402, and a resource adjustment module 403.
Among other things, the policy management module 401 may be configured to: receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request; resource management module 402 may be used to: based on a resource balance strategy, determining resource adjustment data corresponding to a plurality of cloud platforms under a target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system; resource adjustment module 403 may be used to: and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize the resource balance of the plurality of cloud platforms.
As a referential embodiment of the present invention, the resource management module 402 may include: the resource preset management module 4021. The resource provisioning management module 4021 may be configured to: acquiring a target service system and a first cloud platform according to a request of newly building the target service system, newly building cloud resources required by the target service system on the first cloud platform, and deploying the target service system on the cloud resources; judging whether the target service system has an expandable cloud platform, if so, transmitting system data corresponding to the target service system to the expandable cloud platform; storing system data corresponding to the target service system to a second cloud platform; the system data comprises a system image file, a program package and a configuration file corresponding to the service system.
As a reference embodiment of the present invention, the resource preset management module 4021 may further be configured to: acquiring an access flow source corresponding to a target service system, and judging whether a cloud platform with an access distance smaller than that corresponding to a first cloud platform exists or not according to the access flow source; if so, confirming that the cloud platform with the access distance smaller than the access distance corresponding to the first cloud platform is the expandable cloud platform, and if not, confirming that the expandable cloud platform does not exist; and judging whether the cloud platform with the available resources larger than a preset resource threshold exists, if so, determining that the cloud platform with the available resource amount larger than the preset resource amount is an expandable cloud platform, and if not, determining that the expandable cloud platform does not exist.
As a reference embodiment of the present invention, the resource adjusting module 403 is further configured to: acquiring a cloud platform needing to increase resources according to the resource adjustment data; judging whether the cloud platform needing to be added with resources is an extensible cloud platform; if so, adjusting the resources of the cloud platform needing to increase the resources; and if not, transmitting system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to add the resources, and then adjusting the resources of the cloud platform needing to add the resources.
As a referential embodiment of the present invention, the resource management module 402 may include: resource feedback management module 4022. The resource feedback management module 4022 may be configured to: analyzing the operation condition of the target service system to obtain an analysis result; judging whether the resource balance strategy is met or not according to the analysis result; if so, confirming that the resource balance of the multi-cloud platform is realized; if not, continuing to adjust the resource data corresponding to the multiple cloud platforms under the target service system so as to realize the resource balance of the multiple cloud platforms.
As a reference embodiment of the present invention, the resource preset management module 4021 may further be configured to: and under the condition that the target service system is the core service system, storing system data corresponding to the target service system to each cloud platform.
As shown in fig. 4, as a reference embodiment of the present invention, the resource processing apparatus 400 based on a multi-cloud platform may further include: a disaster recovery management module 404. The disaster recovery management module 404 is configured to: if the fault cloud platform is detected and the target service system is the core service system, acquiring a target cloud platform corresponding to the fault cloud platform, wherein the target cloud platform is a cloud platform except the fault cloud platform; judging whether a target service system is operated on a target cloud platform; if so, adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform; if not, starting the target service system on the target cloud platform based on the system data corresponding to the target service system, and then adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform.
According to the resource processing device based on the multiple cloud platforms, the resource adjustment data corresponding to the multiple cloud platforms under the service system can be determined based on the acquired resource balance strategy and in combination with the resource capacity data corresponding to the multiple cloud platforms, and then the resource data corresponding to the multiple cloud platforms under the service system are adjusted according to the determined resource adjustment data, so that the resource balance of the multiple cloud platforms can be realized, the problems of high difficulty and high cost caused by the fact that resource balance needs to be realized through a migration tool in the prior art are solved, the accuracy of the resource balance can be improved, and the resource arrangement efficiency is improved.
Fig. 5 illustrates an exemplary system architecture 500 of a resource processing apparatus or a resource processing method based on a multi-cloud platform to which an embodiment of the present invention may be applied.
As shown in fig. 5, the system architecture 500 may include terminal devices 501, 502, 503, a network 504, and a server 505. The network 504 serves to provide a medium for communication links between the terminal devices 501, 502, 503 and the server 505. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. The terminal devices 501, 502, 503 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 505 may be a server providing various services, for example, a background management server (for example only) providing support in a resource processing process based on a multi-cloud platform by using the terminal devices 501, 502, 503; for another example, the server 505 may perform resource processing based on a multi-cloud platform according to an embodiment of the present invention.
It should be noted that the resource processing method based on the multiple cloud platforms provided by the embodiment of the present invention is generally executed by the server 505, and accordingly, the resource processing apparatus based on the multiple cloud platforms is generally disposed in the server 505.
It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use with a terminal device implementing an embodiment of the invention is shown. The terminal device shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a policy management module, a resource management module, and a resource adjustment module. For example, the policy management module may be further described as a module that receives a resource processing request of the cloud platform and obtains a resource balancing policy corresponding to the target service system and the target service system according to the resource processing request.
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request; based on a resource balance strategy, determining resource adjustment data corresponding to a plurality of cloud platforms under a target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system; and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize the resource balance of the plurality of cloud platforms.
According to the technical scheme of the embodiment of the invention, the resource adjustment data corresponding to the multiple cloud platforms under the service system can be determined based on the acquired resource balance strategy and in combination with the resource capacity data corresponding to the multiple cloud platforms, and then the resource data corresponding to the multiple cloud platforms under the service system can be adjusted according to the determined resource adjustment data, so that the resource balance of the multiple cloud platforms can be realized, the problems of high difficulty and high cost caused by the need of realizing the resource balance through a migration tool in the prior art are solved, the accuracy of the resource balance can be improved, and the resource arrangement efficiency is improved.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A resource processing method based on a multi-cloud platform is characterized by comprising the following steps:
receiving a resource processing request of a multi-cloud platform, and acquiring a target service system and a resource balancing strategy corresponding to the target service system according to the resource processing request;
based on the resource balancing strategy, determining resource adjustment data corresponding to the plurality of cloud platforms under the target service system according to resource capacity data corresponding to the plurality of cloud platforms and resource data corresponding to the plurality of cloud platforms under the target service system;
and adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjustment data so as to realize resource balance of the plurality of cloud platforms.
2. The method of claim 1, further comprising:
acquiring the target service system and a first cloud platform according to a request for newly building the target service system, newly building cloud resources required by the target service system on the first cloud platform, and deploying the target service system on the cloud resources;
judging whether the target service system has an expandable cloud platform, if so, transmitting system data corresponding to the target service system to the expandable cloud platform;
storing system data corresponding to the target service system to a second cloud platform;
the system data comprises a system image file, a program package and a configuration file corresponding to the service system.
3. The method according to claim 2, wherein the determining whether the target service system has an extensible cloud platform, and if yes, transmitting system data corresponding to the target service system to the extensible cloud platform includes:
acquiring an access flow source corresponding to the target service system, and judging whether a cloud platform with an access distance smaller than that corresponding to the first cloud platform exists or not according to the access flow source;
if so, confirming that the cloud platform with the access distance smaller than the access distance corresponding to the first cloud platform is the extensible cloud platform, and if not, confirming that the extensible cloud platform does not exist; and the number of the first and second groups,
and judging whether a cloud platform with available resources larger than a preset resource threshold exists, if so, determining that the cloud platform with the available resource amount larger than the preset resource amount is the expandable cloud platform, and if not, determining that the expandable cloud platform does not exist.
4. The method according to claim 2, wherein the adjusting resource data corresponding to the plurality of cloud platforms in the target service system according to the resource adjustment data includes:
acquiring a cloud platform needing to increase resources according to the resource adjustment data;
judging whether the cloud platform needing to be added with resources is the extensible cloud platform;
if so, adjusting the resources of the cloud platform needing to increase the resources;
if not, transmitting the system data corresponding to the target service system stored on the second cloud platform to the cloud platform needing to add resources, and then adjusting the resources of the cloud platform needing to add resources.
5. The method according to claim 1, wherein after adjusting the resource data corresponding to the plurality of cloud platforms in the target business system according to the resource adjustment data, the method further comprises:
analyzing the operation condition of the target service system to obtain an analysis result;
judging whether the resource balance strategy is met or not according to the analysis result;
if so, confirming that the resource balance of the multi-cloud platform is realized;
if not, continuing to adjust the resource data corresponding to the plurality of cloud platforms under the target service system so as to realize the resource balance of the plurality of cloud platforms.
6. The method of claim 2, further comprising:
and under the condition that the target service system is a core service system, storing system data corresponding to the target service system to each cloud platform.
7. The method of claim 6, further comprising:
if a fault cloud platform is detected and the target service system is a core service system, acquiring a target cloud platform corresponding to the fault cloud platform, wherein the target cloud platform is a cloud platform except the fault cloud platform;
judging whether the target service system is operated on the target cloud platform or not;
if so, adding resource data corresponding to the fault cloud platform under the target service system on the target cloud platform;
if not, starting the target service system on the target cloud platform based on the system data corresponding to the target service system, and then adding the resource data corresponding to the fault cloud platform under the target service system on the target cloud platform.
8. A resource processing device based on a multi-cloud platform is characterized by comprising:
the policy management module is used for receiving a resource processing request of the multi-cloud platform and acquiring a target service system and a resource balancing policy corresponding to the target service system according to the resource processing request;
the resource management module is used for determining resource adjustment data corresponding to a plurality of cloud platforms under the target service system according to resource capacity data corresponding to the cloud platforms and resource data corresponding to the cloud platforms under the target service system based on the resource balance strategy;
and the resource adjusting module is used for adjusting the resource data corresponding to the plurality of cloud platforms under the target service system according to the resource adjusting data so as to realize the resource balance of the plurality of cloud platforms.
9. An electronic device, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011553672.7A CN113760528A (en) | 2020-12-24 | 2020-12-24 | Resource processing method and device based on multi-cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011553672.7A CN113760528A (en) | 2020-12-24 | 2020-12-24 | Resource processing method and device based on multi-cloud platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113760528A true CN113760528A (en) | 2021-12-07 |
Family
ID=78786203
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011553672.7A Pending CN113760528A (en) | 2020-12-24 | 2020-12-24 | Resource processing method and device based on multi-cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113760528A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104539673A (en) * | 2014-12-18 | 2015-04-22 | 国云科技股份有限公司 | Method suitable for balancing cloud platform computing resources |
| CN105471985A (en) * | 2015-11-23 | 2016-04-06 | 北京农业信息技术研究中心 | Load balance method, cloud platform computing method and cloud platform |
| WO2017128980A1 (en) * | 2016-01-29 | 2017-08-03 | 华为技术有限公司 | Method and device for managing resources in cloud platform |
| US20180267833A1 (en) * | 2017-03-16 | 2018-09-20 | Quanta Computer Inc. | Management systems of cloud resources and management methods thereof |
| CN109144666A (en) * | 2018-07-30 | 2019-01-04 | 上海思询信息科技有限公司 | A kind of method for processing resource and system across cloud platform |
| CN110858161A (en) * | 2018-08-24 | 2020-03-03 | 阿里巴巴集团控股有限公司 | Resource allocation method, device, system, equipment and medium |
-
2020
- 2020-12-24 CN CN202011553672.7A patent/CN113760528A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104539673A (en) * | 2014-12-18 | 2015-04-22 | 国云科技股份有限公司 | Method suitable for balancing cloud platform computing resources |
| CN105471985A (en) * | 2015-11-23 | 2016-04-06 | 北京农业信息技术研究中心 | Load balance method, cloud platform computing method and cloud platform |
| WO2017128980A1 (en) * | 2016-01-29 | 2017-08-03 | 华为技术有限公司 | Method and device for managing resources in cloud platform |
| US20180267833A1 (en) * | 2017-03-16 | 2018-09-20 | Quanta Computer Inc. | Management systems of cloud resources and management methods thereof |
| CN109144666A (en) * | 2018-07-30 | 2019-01-04 | 上海思询信息科技有限公司 | A kind of method for processing resource and system across cloud platform |
| CN110858161A (en) * | 2018-08-24 | 2020-03-03 | 阿里巴巴集团控股有限公司 | Resource allocation method, device, system, equipment and medium |
Non-Patent Citations (1)
| Title |
|---|
| 江波: "云平台环境下的资源调度研究与实现", 中国优秀硕士学位论文全文数据库, 15 February 2017 (2017-02-15) * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11073992B2 (en) | Allocation and balancing of storage resources | |
| US10209908B2 (en) | Optimization of in-memory data grid placement | |
| US10394593B2 (en) | Nondisruptive updates in a networked computing environment | |
| CN107729570B (en) | Data migration method and device for server | |
| US10951692B1 (en) | Deployment of microservices based on back-end resource affinity | |
| US20170134529A1 (en) | Generation and distribution of named, definable, serialized tokens | |
| CN112965761B (en) | Data processing method, system, electronic equipment and storage medium | |
| CN113010405A (en) | Application program testing method and device | |
| CN112966200A (en) | Service degradation method and rendering server | |
| CN110489158B (en) | Method, device, medium and electronic equipment for optimizing code hosting platform | |
| US9471389B2 (en) | Dynamically tuning server placement | |
| CN113779004A (en) | Data verification method and device | |
| CN108810130B (en) | Method and device for planning distribution request | |
| CN115509744A (en) | Container distribution method, system, device, equipment and storage medium | |
| CN114070889B (en) | Configuration method, traffic forwarding device, storage medium, and program product | |
| CN113391882B (en) | Virtual machine memory management method and device, storage medium and electronic equipment | |
| CN112667368A (en) | Task data processing method and device | |
| US20240061701A1 (en) | Memory sharing method and device for virtual machines | |
| CN113760528A (en) | Resource processing method and device based on multi-cloud platform | |
| CN113760469A (en) | Distributed computing method and device | |
| US11809880B2 (en) | Dynamically verifying ingress configuration changes | |
| US11106500B2 (en) | Managing memories of computing resources based on data access speeds | |
| CN114090524A (en) | Excel file distributed exporting method and device | |
| CN113453192A (en) | Method and device for calculating service between vehicles | |
| CN117742875A (en) | Container scheduling method, device, electronic equipment and computer readable medium |
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 |