CN112948133A - Resource scheduling management method and device and cloud platform - Google Patents
Resource scheduling management method and device and cloud platform Download PDFInfo
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- CN112948133A CN112948133A CN202110379693.XA CN202110379693A CN112948133A CN 112948133 A CN112948133 A CN 112948133A CN 202110379693 A CN202110379693 A CN 202110379693A CN 112948133 A CN112948133 A CN 112948133A
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Abstract
The invention relates to the technical field of resource management, in particular to a resource scheduling management method, a resource scheduling management device and a cloud platform. The method comprises the steps of obtaining first scheduling information; performing resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and simultaneously recording a resource scheduling strategy of the first data information to obtain second scheduling information; and performing resource scheduling on the second platform data according to the second scheduling information to obtain second data information. The method comprises the steps of acquiring first scheduling information, recording a scheduling flow executed by the first scheduling information on a first platform, then generating second scheduling information, performing resource scheduling by using the second scheduling information, recording scheduling strategies of the scheduling information on the cloud platform, thereby realizing unified management of a plurality of cloud platform resource scheduling strategies, and improving the resource utilization rate of a cloud platform cluster.
Description
Technical Field
The invention relates to the technical field of resource management, in particular to a resource scheduling management method, a resource scheduling management device and a cloud platform.
Background
In the prior art, with the rise of cloud computing technology, a cloud platform serves as a terminal device for providing virtual computing resources and storage resources, and provides services for small and medium-sized enterprises and individuals. In order to obtain optimal resource allocation and reduce waste of resource fragments, the existing cloud platform uses a resource scheduler and a cluster management tool; however, when the existing resource scheduler and cluster management tool are used to provide cloud resources to users, the schedulers of different cloud platforms at the same level are mixed to work, so that the resource scheduling process cannot be uniformly managed, and the resource utilization rate of the cloud platform is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a resource scheduling management method and apparatus, and a cloud platform, so as to solve the problem that a resource utilization rate of the cloud platform is not high due to the fact that unified management cannot be performed between different cloud platforms.
According to a first aspect, an embodiment of the present invention provides a resource scheduling method, including:
acquiring first scheduling information; performing resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and simultaneously recording a resource scheduling strategy of the first data information to obtain second scheduling information; and performing resource scheduling on the second platform data according to the second scheduling information to obtain second data information.
According to the resource scheduling management method provided by the embodiment of the invention, the first scheduling information is obtained, the scheduling process executed by the first scheduling information on the first platform is recorded, then the second scheduling information is generated, the resource scheduling is carried out by utilizing the second scheduling information, and the scheduling strategy of the scheduling information on the cloud platform is recorded, so that the unified management of the resource scheduling strategies of the plurality of cloud platforms is realized, and the resource utilization rate of the cloud platform is improved.
With reference to the first aspect, in a first implementation manner of the first aspect, performing resource scheduling on first platform data based on the first scheduling information to obtain first data information, further includes: performing data translation based on the first scheduling information to obtain first translation information; and performing resource scheduling on the first platform data by using the first translation information to obtain first data information.
According to the resource scheduling management method provided by the embodiment of the invention, the scheduling strategies of different cloud platforms are compatible through data translation, so that the resource utilization rate of the cloud platform and the flexibility of resource scheduling are improved.
With reference to the first aspect, in a second implementation manner of the first aspect, the recording a resource scheduling policy of the first data information to obtain second scheduling information includes: acquiring resource data of at least 2 nodes in a first platform data cluster; executing a preset scheduling strategy by using the resource data to obtain preset scheduling information; and extracting the resource scheduling strategy based on the preset scheduling information to obtain first scheduling information.
According to the resource scheduling management method provided by the embodiment of the invention, the resource data of the platform data cluster is obtained, the preset scheduling strategy is implemented on the data resource, and the implemented resource scheduling strategy is extracted after the preset resource scheduling is completed, so that the first scheduling information is obtained according to the resource scheduling strategy, the smooth resource scheduling is ensured, and the utilization rate of the resource scheduling can be improved.
With reference to the first aspect, in a third implementation manner of the first aspect, the performing resource scheduling on the second platform data according to the second scheduling information to obtain second data information includes: acquiring a resource scheduling strategy in the second platform data; and performing joint resource scheduling by using the resource scheduling strategy and the second scheduling information in the second platform data to obtain second data information.
According to the resource scheduling management method provided by the embodiment of the invention, the resource scheduling strategy and the second scheduling information in the second platform data are utilized to carry out joint resource scheduling, so that a user determines the scheduling strategy to be executed, and the accuracy of a resource scheduling result is ensured.
With reference to the first aspect, in a fourth implementation manner of the first aspect, before the performing resource scheduling on the second platform data according to the second scheduling information to obtain the second data information, the method further includes: translating based on the second scheduling information to obtain second translation information; resource scheduling is performed using the second translation information.
According to the resource scheduling management method provided by the embodiment of the invention, the scheduling strategies of different cloud platforms are compatible through data translation, so that the resource utilization rate of the cloud platform and the flexibility of resource scheduling are improved.
According to a second aspect, an embodiment of the present invention provides a resource scheduling management apparatus, including: the acquisition module is used for acquiring first scheduling information; the first processing module is used for carrying out resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and simultaneously recording a resource scheduling strategy of the first data information to obtain second scheduling information; and the second processing module is used for carrying out resource scheduling on the second platform data according to the second scheduling information to obtain second data information.
With reference to the second aspect, in a second implementation manner of the first aspect, the first processing module includes: the translation submodule is used for performing data translation based on the first scheduling information to obtain first translation information; and the first scheduling submodule is used for performing resource scheduling on the first platform data by using the first translation information to obtain first data information.
According to the resource scheduling management device provided by the embodiment of the invention, the acquisition module acquires the first scheduling information, then the first processing module is used for scheduling resources of the first cloud platform, meanwhile, the resource scheduling strategy of the first cloud platform is recorded and sent to the second processing module, and the second processing module is used for scheduling resources of the second cloud platform according to the scheduling process recorded by the first cloud platform, so that unified management of resource scheduling is realized, and the resource utilization rate of the cloud platform is improved.
According to a third aspect, an embodiment of the present invention provides a cloud platform, including: the scheduler is connected with the resource scheduling management device and is used for acquiring resource scheduling information; the resource scheduling management apparatus is configured to execute the method for scheduling resources in the first aspect or any implementation manner of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing therein computer instructions, and the processor executing the computer instructions to perform the resource scheduling management method according to the first aspect or any one of the embodiments of the first aspect.
According to a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, which stores computer instructions for causing a computer to execute the method for resource scheduling management described in the first aspect or any implementation manner of the first aspect.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
fig. 1 is a flowchart of a resource scheduling management method according to an embodiment of the present invention;
fig. 2 is a flowchart of an optional step S11 of the resource scheduling management method according to an embodiment of the present invention;
fig. 3 is a block diagram of a resource scheduling management apparatus according to an embodiment of the present invention;
fig. 4 is a block diagram of a cloud platform according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Reference numerals
10-an acquisition module; 11-a first processing module; 12-a second processing module; 13-a scheduler; 14-a resource scheduling means; 15-cloud platform; 20-a processor; 21-memory.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, it should be noted that, in general, the cloud platform is formed by data centers in different regions, and a large cloud platform resource pool is formed in a private line or public network manner. However, from the perspective of the service or location of each independent data center, it may be difficult for the management platform of the cloud computing resources to complete the construction of the cloud platform in each region by using a uniform technology stack. For example: the data center of the area A mainly provides the computing power of the artificial intelligence related field with GPU as the main part, and the data center of the area B mainly provides the scientific computing power with CPU as the main part. The cloud computing scheduling management platform scheduling strategy used in the region A is based on a fair scheduling strategy, and the cloud platform of the region B is based on a first-come-first-serve scheduling strategy.
The resource scheduling management method provided by the embodiment of the invention can be applied to a plurality of cross-region multi-platforms, wherein the applied cloud platform comprises a scheduler and a resource scheduling management device, and the specific resource scheduling management device comprises: the device comprises an acquisition module, a first processing module and a second processing module; specifically, an embodiment of the present invention provides a resource scheduling management method, as shown in fig. 1, the resource scheduling management method includes:
s10, first scheduling information is acquired.
In this embodiment, the first scheduling information is a flow step that needs to be executed by the current cloud platform, and the first scheduling information may be set according to a user requirement; for example: a user submits a task pod-xm to the data processing center; the task arrives at the first cloud platform, and the first cloud platform uses a corresponding policy (for example, scheduler-policies-fifo of scheduler-1) to complete resource scheduling and service deployment.
S11, based on the first scheduling information, performing resource scheduling on the first platform data to obtain first data information, and simultaneously recording a resource scheduling policy of the first data information to obtain second scheduling information.
In this embodiment, the first data information is a data result obtained or output after the first cloud platform executes/implements the process step/policy specified by the user. For example: currently, a first cloud platform uses scheduler-policies-fifo of scheduler-1 to complete resource scheduling and service deployment. And in order to carry out unified management on the second cloud platform, the resource scheduling is also completed by using a scheduler-policies-fifo scheduling strategy. Therefore, the second cloud platform needs to obtain the first scheduling information of the first cloud platform, and the first scheduling information implemented by the second platform is the second scheduling information. If the scheduling policies used between the cloud platforms are not consistent, the scheduling information needs to be translated between the acquired scheduling information, so that the uniformity of data transmission is ensured.
And S12, performing resource scheduling on the second platform data according to the second scheduling information to obtain second data information. In this embodiment, the obtained second data information is obtained by implementing second scheduling information and resource scheduling of default settings of different cloud platforms in different cloud platforms. Specifically, the second data information may also be second scheduling information obtained by the second platform by obtaining and translating the scheduling information of the first platform, where the second scheduling information includes a resource scheduling policy, i.e., schedule-policies-fifo, executed by the schedule-1 of the first cloud platform. Because the resource manager used by the second cloud platform is scheduler-2, according to the requirement of the second scheduling information, the resource scheduling finally completed by the second cloud platform should be completed by using scheduler-policies-fifo of scheduler-2.
According to the resource scheduling method provided by the embodiment of the invention, the first scheduling information is obtained, the scheduling process executed by the first scheduling information on the first platform is recorded, the second scheduling information is generated, the resource scheduling is carried out by using the second scheduling information, and the scheduling strategy of the scheduling information on the cloud platform is recorded, so that the unified management of the resource scheduling strategies of the plurality of cloud platforms is realized, and the resource utilization rate of the cloud platform is improved.
Optionally, as shown in fig. 2, step S11 may also be:
s111, data translation is carried out based on the first scheduling information to obtain first translation information.
In this embodiment, the first scheduling information may be sent to the translator to obtain the first translation information, where in this embodiment, the first translation information is to convert the default execution policy set by the target cloud platform into a policy specified in a unified manner, for example: the resource scheduling management used by the first cloud platform is kubernets, and the default scheduling strategy is scheduler-policies-fair; the second cloud platform uses kubernets, and schedulers-policies-gang used by a default scheduling strategy; when a user submits a task pod-xm to the cloud platform; and (4) the task is expected to arrive at the first cloud platform, the resource scheduling and service deployment are completed by using schedule-resources-fair, and the pod-xm task is deployed into the second cloud platform through the reproduction propagator. And it is also necessary to execute schedule-policies-fair, instead of schedule-policies-gang, in the second cloud platform with the default scheduling policy of the first cloud platform.
S112, the first translation information is used for resource scheduling of the first platform data to obtain first data information.
In this embodiment, the first data information may include flow information and called data information.
Optionally, in step S11, the method may further include:
s113, acquiring resource data of at least 2 nodes in the first platform data cluster.
In this embodiment, the resource data is a data resource that is preset in the cloud platform or the cloud server and needs to be called.
S114, executing a preset scheduling strategy by using the resource data to obtain preset scheduling information.
In this embodiment, the preset scheduling policy is given or specified by the user. The processing flow is determined by the user specification, and the accuracy of the result is ensured. For example: the first cloud platform uses scheduler-resources-fifo to complete resource scheduling. The preset scheduling information is resource use information obtained after resource scheduling executed by the current platform.
S115, extracting the resource scheduling strategy based on the preset scheduling information to obtain second scheduling information.
In this embodiment, the second scheduling information is a scheduling policy executed by acquiring the preset scheduling information from the acquired preset scheduling information, that is, the second scheduling information.
Optionally, before step S114, the method may include: translating based on the second scheduling information to obtain second translation information; and utilizing the second translation information for resource scheduling.
In this embodiment, by recording each resource decision flow of the current scheduler, after the scheduling is successful, statistics is performed on resource information of each node through the cluster, and when a new service is issued in the cluster each time, influences of each management and cooperative component in the cluster are set. The recorder is used for recording each scheduling completely, and sending the scheduling decision to other cloud platforms for recurring translation of the next scheduler, after the resource scheduling device of the next scheduler receives the scheduling decision, the scheduling decision is translated according to the basic information of the scheduler of the platform where the scheduler is located, and after the translation is successful, the scheduler can use the decision made by the last scheduler, so that recurring operation is completed, and the resource utilization rate of the cloud platforms is improved.
Optionally, in step S12, the method may further include:
s121, acquiring a resource scheduling strategy in the second platform data.
In this embodiment, after determining the second platform that needs to perform resource scheduling, the default resource scheduling policy of the second platform needs to be extracted from the second platform, for example: the default using scheduling strategy used by the first cloud platform is scheduler-policies-fifo, and the default using scheduling strategy used by the second cloud platform is scheduler-policies-fair. The second platform also switches from the default scheduling policy scheduler-policies-fair to scheduler-policies-fifo when the first platform task schedule is replicated.
And S122, performing joint resource scheduling by using the resource scheduling strategy and the second scheduling information in the second platform data to obtain second data information.
In this embodiment, the resource scheduling policy of the first platform may be obtained by the recorder, and then the resource scheduling policy in the second platform is combined, or the resource scheduling policy in the second platform is replaced by the resource scheduling policy of the first platform, and then the resource information in the second platform data is scheduled and extracted according to the determined resource scheduling policy. Thereby meeting the requirements of uniformity and flexibility of task scheduling strategies.
Optionally, the first platform and the second platform may be public cloud platforms or hybrid cloud platforms. The resource scheduling policy of the cloud platform includes a plurality of policies, such as FIFO scheduler, that is, first come first served first; capacity Scheduler Capacity scheduling, which divides resources by taking a queue as a unit; the Fair Scheduler multi-user Scheduler is more balanced in resource allocation compared with a capacity scheduling multi-user Scheduler, and each node of a cloud platform cluster can be guaranteed to bear a considerable amount of cloud computing tasks as much as possible; the gang Scheduler batch task Scheduler is mainly used for executing all the tasks or not executing all the tasks when the batch of tasks is submitted.
An embodiment of the present invention provides a resource scheduling management apparatus, as shown in fig. 3, the resource scheduling management apparatus includes:
the obtaining module 10 is configured to obtain the first scheduling information, and the details refer to the related description of step S10 of the foregoing method embodiment.
The first processing module 11 is configured to perform resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and record a resource scheduling policy of the first data information to obtain second scheduling information, where details refer to the related description of step S11 in the foregoing method embodiment.
The second processing module 12 is configured to perform resource scheduling on the second platform data according to the second scheduling information to obtain second data information, and the details refer to the related description of step S12 in the foregoing method embodiment.
The resource scheduling management device provided by this embodiment acquires the first scheduling information through the acquisition module, then uses the first processing module to perform resource scheduling on the first cloud platform, records the resource scheduling policy of the first cloud platform and sends the resource scheduling policy to the second processing module, and the second processing module performs resource scheduling on the second cloud platform according to the scheduling flow recorded by the first cloud platform, so as to implement unified management on resource scheduling and improve the resource utilization rate of the cloud platform.
Optionally, in the first processing module 11, the method further includes:
the translation sub-module 111 is configured to perform data translation based on the first scheduling information to obtain first translation information, and the details refer to the related description of step S111 of the foregoing method embodiment.
The first scheduling sub-module 112 is configured to perform resource scheduling on the first platform data by using the first translation information to obtain first data information, and the detailed content refers to the related description of step S112 in the foregoing method embodiment.
An embodiment of the present invention provides a cloud platform, which is specifically shown in fig. 4: a scheduler 13, the scheduler 13 is connected with the resource scheduling management device 14, and the scheduler 13 is used for obtaining resource scheduling information; the resource scheduling management device 14 is provided with a recorder for recording the flow executed by the scheduler 13, a transmitter for receiving or transmitting the scheduling information of the scheduler 13, and a translator for converting the scheduling information of the scheduler 13 of the different cloud platform into the flow information executable by the scheduler currently executing the resource scheduling. In actual use, data transmission is performed among the plurality of cloud platforms 14, so that unified management of resource scheduling is realized, and the resource utilization rate of the cloud platforms 14 is improved. The number of cloud platforms omitted is indicated by an ellipsis in fig. 4.
In addition, an embodiment of the present invention further provides an electronic device, as shown in fig. 5, the electronic device may include a processor 20 and a memory 21, where the processor 20 and the memory 21 may be connected by a bus or in another manner, and fig. 5 illustrates an example of connection by a bus.
The processor 20 may be a Central Processing Unit (CPU). The Processor 20 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or any combination thereof.
The memory 21, which is a non-transitory computer readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., the acquisition module 10, the first processing module 11, and the second processing module 12 shown in fig. 3) corresponding to the resource scheduling method in the embodiment of the present invention. The processor 20 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 21, namely, implements the resource scheduling management method in the above method embodiments.
The memory 21 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 20, and the like. Further, the memory 21 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 21 optionally includes memory located remotely from processor 20, which may be connected to processor 20 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 21 and when executed by the processor 20 perform the resource scheduling management method in the embodiment shown in fig. 1-2.
The details of the electronic device may be understood by referring to the corresponding descriptions and effects in the embodiments shown in fig. 1 to fig. 4, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A resource scheduling management method is characterized by comprising the following steps:
acquiring first scheduling information;
performing resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and simultaneously recording a resource scheduling strategy of the first data information to obtain second scheduling information;
and performing resource scheduling on the second platform data according to the second scheduling information to obtain second data information.
2. The method of claim 1, wherein the resource scheduling for the first platform data based on the first scheduling information to obtain first data information, further comprising:
performing data translation based on the first scheduling information to obtain first translation information;
and performing resource scheduling on the first platform data by using the first translation information to obtain first data information.
3. The method of claim 1, wherein the recording the resource scheduling policy of the first data information to obtain second scheduling information comprises:
acquiring resource data of at least 2 nodes in a first platform data cluster;
executing a preset scheduling strategy by using the resource data to obtain preset scheduling information;
and extracting the resource scheduling strategy based on the preset scheduling information to obtain second scheduling information.
4. The method of claim 1, wherein the resource scheduling of the second platform data according to the second scheduling information to obtain second data information comprises:
acquiring a resource scheduling strategy in the second platform data;
and performing joint resource scheduling by using the resource scheduling strategy and the second scheduling information in the second platform data to obtain second data information.
5. The method of claim 1, wherein before the resource scheduling of the second platform data according to the second scheduling information to obtain the second data information, the method further comprises:
translating based on the second scheduling information to obtain second translation information;
resource scheduling is performed using the second translation information.
6. A resource scheduling management apparatus, comprising:
the acquisition module is used for acquiring first scheduling information;
the first processing module is used for carrying out resource scheduling on the first platform data based on the first scheduling information to obtain first data information, and simultaneously recording a resource scheduling strategy of the first data information to obtain second scheduling information;
and the second processing module is used for carrying out resource scheduling on the second platform data according to the second scheduling information to obtain second data information.
7. The apparatus of claim 6, wherein the first processing module comprises:
the translation submodule is used for performing data translation based on the first scheduling information to obtain first translation information;
and the first scheduling submodule is used for performing resource scheduling on the first platform data by using the first translation information to obtain first data information.
8. A cloud platform, comprising:
the scheduler is connected with the resource scheduling management device and is used for acquiring resource scheduling information;
the resource scheduling management device is configured to perform the resource scheduling management method according to any one of claims 1 to 5.
9. An electronic device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the resource scheduling management method of any of claims 1-5.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method of resource schedule management according to any one of claims 1-5.
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