CN111638961A

CN111638961A - Resource scheduling system and method, computer system, and storage medium

Info

Publication number: CN111638961A
Application number: CN202010502455.9A
Authority: CN
Inventors: 许广洋; 陈彦锦; 满欣; 顾龚磊
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2020-06-04
Filing date: 2020-06-04
Publication date: 2020-09-08

Abstract

The present disclosure provides a resource scheduling system, comprising: the controller management platform is used for receiving resource configuration information of each calculation example input by a user; a plurality of types of resource controllers, each resource controller to: acquiring resource configuration information of each computing instance input by a user from a controller management platform; acquiring actual resource information of each calculation example from a calculation node where each calculation example is located; and under the condition that the resource configuration information of each computing instance is different from the actual resource information, sending an instruction to the computing node where each computing instance is located so as to schedule each computing node to adjust the actual resource information of each computing instance. The present disclosure provides a resource scheduling method, a computer system, and a storage medium.

Description

Resource scheduling system and method, computer system, and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a resource scheduling system and method, a computer system, and a storage medium.

Background

With the rapid development of computer technologies, more and more enterprises build cloud computing platform Service, and cloud computing platforms generally adopt a layered structure of IaaS (Infrastructure as a Service) and PaaS (software as a Service).

In carrying out the disclosed concept, the inventors discovered: if a container is built on the PaaS layer, a virtual machine can be applied on the IaaS layer, the virtual machine is brought into a cluster of the PaaS layer on the PaaS layer, and then the application is deployed on the virtual machine.

However, because the IaaS layer and the PaaS layer operate and maintain independently, resources belonging to the two layers cannot be scheduled in a unified manner, so that the resource delivery efficiency is low, and the flow for building a calculation example is long.

Disclosure of Invention

In view of the foregoing, the present disclosure provides a resource scheduling system and method, a computer system, and a storage medium.

One aspect of the present disclosure provides a resource scheduling system, including: the controller management platform is used for receiving resource configuration information of each calculation example input by a user; a plurality of types of resource controllers, each of the resource controllers to: acquiring resource configuration information of each computing instance input by a user from the controller management platform; acquiring actual resource information of each computing instance from the computing node where each computing instance is located; and under the condition that the resource configuration information of each computing instance is different from the actual resource information, sending an instruction to the computing node where each computing instance is located so as to schedule each computing node to adjust the actual resource information of each computing instance.

Another aspect of the present disclosure provides a resource scheduling method, including: receiving a requirement description file input by a user through a controller management platform, wherein the requirement description file comprises resource configuration information of a computing instance; acquiring respective resource state description files through a plurality of types of resource controllers, wherein the resource state description files comprise actual resource information of the computing instances; monitoring a demand description file in the controller management platform through each resource controller to determine whether resource configuration information in the demand description file is the same as actual resource information in the resource state description file; and under the condition that the resource configuration information in the requirement description file is determined to be different from the actual resource information in the resource state description file, sending an instruction to the computing node where the computing instance is located so as to schedule the computing node to adjust the actual resource information of the respective computing instance.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.

Another aspect of the disclosure provides a computer program comprising computer executable instructions for implementing the method as described above when executed.

Another aspect of the present disclosure provides a computer system comprising: one or more processors; storage means for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described above.

According to the embodiment of the disclosure, a technical means that a controller management platform receives configuration information of a computing instance input by a user, a plurality of types of resource controllers monitor the controller management platform, and under the condition that the configuration information of the computing instance input by the user is determined to be different from actual resource information of the computing instance, each resource controller can send an instruction to a computing node where the computing instance is located so as to schedule the computing node to adjust the actual resource information of the computing instance is adopted. The resource configuration information input by the user can be acquired through the controller management platform, and different types of resources are scheduled according to the resource configuration information input by the user, so that unified scheduling of the different types of resources is realized, and the utilization rate of infrastructure resources is improved, so that the technical problem that the construction process of the calculation example is long due to low resource delivery efficiency in the related technology is at least partially solved, and the technical effect of shortening the construction process of the calculation example is further achieved.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:

fig. 1 schematically shows an exemplary system architecture to which the resource scheduling method of the embodiments of the present disclosure may be applied;

FIG. 2 schematically shows a flow chart of a resource scheduling method according to an embodiment of the present disclosure;

FIG. 3 schematically shows a flow chart of a resource scheduling method according to another embodiment of the present disclosure;

FIG. 4 schematically shows a block diagram of a resource scheduling system according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a method of a network resource controller creating a network resource according to an embodiment of the disclosure;

FIG. 6 schematically illustrates a flow chart of a method of a storage resource controller creating a storage resource according to an embodiment of the present disclosure;

FIG. 7 schematically illustrates a flow diagram of a method of creating a physical machine resource according to an embodiment of the disclosure;

FIG. 8 schematically illustrates a flow diagram of a method of creating virtual machine resources according to an embodiment of the disclosure; and

fig. 9 schematically shows a block diagram of a computer system adapted to a resource scheduling method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

The embodiment of the disclosure provides a resource scheduling method. The method comprises the steps of receiving a requirement description file input by a user through a controller management platform, wherein the requirement description file comprises resource configuration information of a calculation instance; acquiring respective resource state description files through a plurality of types of resource controllers, wherein the resource state description files comprise actual resource information of a calculation example; monitoring a requirement description file in a controller management platform through each resource controller to determine whether resource configuration information in the requirement description file is the same as actual resource information in a resource state description file; and under the condition that the resource configuration information in the requirement description file is determined to be different from the actual resource information in the resource state description file, sending an instruction to the computing node where the computing instance is located so as to schedule the computing node to adjust the actual resource information of the respective computing instance.

Fig. 1 schematically shows an exemplary system architecture 100 to which the resource scheduling method of the embodiments of the present disclosure may be applied. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the system architecture 100 according to this embodiment may include an electronic device 101, an electronic device 102, an electronic device 103, an electronic device 104, and an electronic device 105.

The electronic device 101 may be provided with a controller management platform, and the controller management platform may provide an Application Programming Interface (API), through which a user may submit a requirement description file of multiple computing instances, where the requirement description file may include multiple types of resource configuration information of each computing instance. For example, each compute instance may include network resource configuration information, storage resource configuration information, physical machine resource configuration information, virtual machine resource configuration information, and the like.

The resource configuration information of the computing instance configured in the requirement description file may be resource configuration information of the computing instance to be created, or may be configuration information of a created computing instance to be modified.

The electronic device 102, the electronic device 103, the electronic device 104 and the electronic device 105 may be provided with different types of resource controllers, for example, the electronic device 102 may be provided with a network resource controller, the electronic device 103 may be provided with a storage resource controller, the electronic device 104 may be provided with a physical machine resource controller, and the electronic device 105 may be provided with a virtual machine resource controller.

The resource controllers of various types can monitor the requirement description file in the controller management platform, and control the computing node where each computing instance is located to adjust the actual resource information of the computing instance according to the resource configuration information in the requirement description file.

The following description takes the example that the electronic device 102 controls the computing node where the computing instance is located to adjust the actual network resource information of the computing instance.

The network resource controller in the electronic device 102 may obtain a network resource status description file in real-time, which may include actual network resource information for each computing instance.

The network resource controller in the electronic device 102 may monitor a requirement description file in a controller management platform to determine whether network resource configuration information of each computation instance in the requirement description file is the same as actual resource information of each computation instance in a network resource state description file, and if it is determined that the network resource configuration information of a certain computation instance is different from the actual network resource information, the network resource controller may generate a network resource adjustment instruction according to the network resource configuration information of the computation instance, and the network resource controller may send the network resource adjustment instruction to a computing node where the computation instance is located, so that the computing node adjusts current actual network resource information of the computation instance according to the received network resource adjustment instruction.

The process of controlling the computing node to adjust the resource information of the corresponding type of the computing instance by the electronic device 103, the electronic device 104, and the electronic device 105 is similar to the process of controlling the computing node where the computing instance is located by the electronic device 102 to adjust the actual network resource information of the computing instance, and is not described here again.

It should be understood that the number of electronic devices 101-105 in fig. 1 is merely illustrative. There may be any number of electronic devices, as desired for implementation.

Fig. 2 schematically shows a flow chart of a resource scheduling method according to an embodiment of the present disclosure.

As shown in fig. 2, the method includes operations S201 to S204.

In operation S201, a requirement description file input by a user is received through a controller management platform, wherein the requirement description file includes resource configuration information of a computing instance.

According to the embodiment of the disclosure, as shown in fig. 1, a user may input a requirement description file of a plurality of computing instances through a controller management platform of an electronic device 101, wherein the requirement description file may include a plurality of types of resource configuration information of each computing instance. For example, each compute instance may include network resource configuration information, storage resource configuration information, physical machine resource configuration information, virtual machine resource configuration information, and the like.

According to the embodiment of the disclosure, the resource configuration information of the computing instance configured in the requirement description file may be the resource configuration information of the computing instance required to be created, or may be the configuration information of the created computing instance required to be modified.

In operation S202, respective resource state description files are obtained by a plurality of types of resource controllers, where the resource state description files include actual resource information of a computing instance.

According to an embodiment of the present disclosure, the plurality of types of resource controllers may include a network resource controller, a storage resource controller, a physical machine resource controller, and a virtual machine resource controller.

According to the embodiment of the disclosure, each type of resource controller can obtain the corresponding resource state description file. The resource status description file can be in a yaml format, which is a configuration description file format that separates data by blank characters and lines, and the present disclosure can also adopt resource status description files in other formats.

According to the embodiment of the present disclosure, taking the storage resource controller as an example, the storage resource controller may obtain a storage resource state description file, where the storage resource state description file may include actual storage resource information of each computing instance.

In operation S203, a requirement description file in the controller management platform is monitored by each resource controller to determine whether the resource configuration information in the requirement description file is the same as the actual resource information in the resource status description file.

According to the embodiment of the present disclosure, continuing to take the storage resource controller as an example, the storage resource controller may monitor a requirement description file in the controller management platform, and determine whether the storage resource configuration information of each computation instance in the requirement description file is the same as the actual resource information of each computation instance in the storage resource state description file.

In operation S204, in a case that it is determined that the resource configuration information in the requirement description file is not the same as the actual resource information in the resource status description file, an instruction is sent to the computing node where the computing instance is located, so as to schedule the computing node to adjust the actual resource information of each computing instance.

According to the embodiment of the present disclosure, taking the storage resource controller as an example, when the storage resource configuration information of a certain computing instance is different from the actual storage resource information, the storage resource controller may generate a storage resource adjustment instruction according to the storage resource configuration information of the computing instance, and the storage resource controller may send the storage resource adjustment instruction to the computing node where the computing instance is located, so that the computing node adjusts the current actual storage resource information of the computing instance according to the received storage resource adjustment instruction.

According to the embodiment of the present disclosure, the steps of the network resource controller, the physical machine resource controller, and the virtual machine resource controller adjusting resources corresponding to the computing instance are similar to the above operations S201 to S204, and are not described herein again.

According to the embodiment of the disclosure, each type of resource controller can adjust the computing node where the cyclic control computing instance is located according to the requirement description file input by the user, so that the computing node continuously adjusts the current actual resource information of the computing instance until the current actual resource information is the same as the resource information configured in the requirement description file. Because different types of resources can be scheduled by using different types of resource controllers according to the requirements of users, the declarative supply of different types of resources is realized, different computing instances such as a physical machine, a virtual machine and a container share an infrastructure resource pool, the unified scheduling management of infrastructure resources is realized, the utilization rate of the infrastructure resources is improved to the maximum extent, and the construction process of the computing instances can be shortened.

Fig. 3 schematically shows a flow chart of a resource scheduling method according to an embodiment of the present disclosure.

As shown in fig. 3, the method includes operations S301 to S304.

In operation S301, a creation instruction for creating a new computing instance and resource configuration information of the new computing instance, which are input by a user, are received through the controller management platform.

According to the embodiment of the disclosure, a user may input an instruction to create a new computing instance and input resource configuration information of the newly created computing instance through the controller management platform, where the resource configuration information of the newly created computing instance may include network resource configuration information, storage resource configuration information, physical machine resource configuration information, virtual machine resource configuration information, and the like.

In operation S302, each resource controller obtains resource configuration information of a new computing instance input by a user in response to monitoring a creation event triggered by a creation instruction.

According to the embodiment of the disclosure, taking the creation of the container instance as an example, in response to an instruction to create the container, the network resource controller may obtain network resource configuration information of the newly created computing instance, the storage resource controller may obtain storage resource configuration information of the newly created computing instance, the physical machine resource controller may obtain physical machine resource configuration information of the newly created computing instance, and the virtual machine resource controller may obtain virtual machine resource configuration information of the newly created computing instance.

In operation S303, a configuration instruction is generated according to the resource configuration information of the new compute instance.

According to the embodiment of the present disclosure, following the above example, the network resource controller may generate a network resource configuration instruction according to the network resource configuration information of the newly created computing instance, the storage resource controller may generate a storage resource configuration instruction according to the storage resource configuration information of the newly created computing instance, the physical machine resource controller may generate a physical machine resource configuration instruction according to the physical machine resource configuration information of the newly created computing instance, and the virtual machine resource controller may generate a virtual machine resource configuration instruction according to the virtual machine resource configuration information of the newly created computing instance.

In operation S304, a configuration instruction is sent to the compute node corresponding to the new compute instance to create the new compute instance.

According to the embodiment of the present disclosure, following the above example, the network resource controller may send a network resource configuration instruction to the computing node where the container is located, so that the computing node where the container is located configures the network resource. The storage resource controller may send a storage resource configuration instruction to the computing node where the container is located, so that the computing node where the container is located configures the storage resource. The physical machine resource controller may send a physical machine resource configuration instruction to the computing node where the container is located, so that the computing node where the container is located configures the physical machine resource. The virtual machine resource controller may send a virtual machine resource configuration instruction to the computing node where the container is located, so that the computing node where the container is located configures virtual machine resources.

According to the embodiment of the present disclosure, the network resource configuration information may include network segment information to which the computing instance belongs, an IP address, a subnet mask, a virtual local area network number, and the like. The storage resource configuration information may include a storage pool used by the compute instance, a level of the storage pool, a management port of a disk drive where the storage pool is located, an IP address of the management port, information of a file system mounted by the compute instance, a size of the file system, and the like. The physical machine resource configuration information may include baseboard management controller information of a physical machine where the computing instance is located, IP information of the baseboard management controller, operating system information of the physical machine where the computing instance is located, IP information of the physical machine, gateway information of the physical machine, and the like. The virtual machine resource configuration information includes operating system information of the virtual machine where the computing instance is located, IP information of the virtual machine, gateway information of the virtual machine, and the like.

Fig. 4 schematically shows a block diagram of a resource scheduling system according to an embodiment of the present disclosure.

As shown in fig. 4, the resource scheduling system 400 may include a controller management platform 410 and multiple types of resource controllers, wherein the multiple types of resource controllers may include a network resource controller 420, a storage resource controller 430, a physical machine resource controller 440, and a virtual machine resource controller 450.

Controller management platform 410 may be configured to receive user input of resource configuration information for each computing instance.

According to the embodiment of the disclosure, the controller management platform may provide a uniform API access entry, and a user may submit a requirement description file of multiple computing instances through an API interface, where the requirement description file may include multiple types of resource configuration information of each computing instance. For example, each compute instance may include network resource configuration information, storage resource configuration information, physical machine resource configuration information, virtual machine resource configuration information, and the like.

According to an embodiment of the present disclosure, each resource controller is configured to: acquiring resource configuration information of each computing instance input by a user from a controller management platform; acquiring actual resource information of each calculation example from a calculation node where each calculation example is located; and under the condition that the resource configuration information of each computing instance is different from the actual resource information, sending an instruction to the computing node where each computing instance is located so as to schedule each computing node to adjust the actual resource information of each computing instance.

According to the embodiment of the present disclosure, taking the storage resource controller 430 as an example, the storage resource controller 430 may obtain a storage resource state description file, which may include actual storage resource information of each computing instance. The storage resource controller 430 may monitor a requirement description file in the controller management platform, and determine whether the storage resource configuration information of each computing instance in the requirement description file is the same as the actual resource information of each computing instance in the storage resource status description file. Under the condition that it is determined that the storage resource configuration information of a certain computing instance is different from the actual storage resource information, the storage resource controller 430 may generate a storage resource adjustment instruction according to the storage resource configuration information of the computing instance, and the storage resource controller 430 may send the storage resource adjustment instruction to the computing node where the computing instance is located, so that the computing node adjusts the current actual storage resource information of the computing instance according to the received storage resource adjustment instruction.

According to the embodiment of the present disclosure, the network resource controller 420, the physical machine resource controller 440, and the virtual machine resource controller 450 implement the adjustment of the respective types of resources and the storage resource controller 430, which are not described herein again.

According to the embodiment of the disclosure, each type of resource controller can adjust the computing node where the cyclic control computing instance is located according to the requirement description file input by the user, so that the computing node continuously adjusts the current actual resource information of the computing instance until the current actual resource information is the same as the resource information configured in the requirement description file. Because different types of resources can be scheduled by using different types of resource controllers according to the requirements of users, the declarative supply of different types of resources is realized, different computing instances such as a physical machine, a virtual machine and a container share an infrastructure resource pool, the unified scheduling management of infrastructure resources is realized, and the utilization rate of the infrastructure resources is improved to the maximum extent.

According to an embodiment of the present disclosure, the controller management platform 410 is further configured to: receiving a creation instruction for creating a new computing instance input by a user, and receiving resource configuration information of the new computing instance input by the user.

Each resource controller is to: in response to monitoring a creation event triggered by a creation instruction, acquiring resource configuration information of a new computing instance input by a user; generating a configuration instruction according to the resource configuration information of the new computing instance; and sending the configuration instructions to the compute node corresponding to the new compute instance to create the new compute instance.

According to the embodiment of the disclosure, the resource configuration information of the computing instance configured in the requirement description file can be the resource configuration information of the newly created computing instance.

The control flow of the network resource controller 420, the storage resource controller 430, the physical machine resource controller 440, and the virtual machine resource controller 450 will be described below by taking a newly created container example as an example.

According to the embodiment of the present disclosure, the requirement file created by the user may include a CRD (Custom resource definition, CRD for short). The user-defined resource information may include, for example, a group to which the newly added CRD resource belongs, and the newly added CRD resource type may be, for example, a Network type, a newly added CRD resource set type, a newly added CRD resource type complex type, a newly added CRD resource version, and the like. The group to which the newly added CRD resource belongs, the newly added CRD resource type, and the newly added CRD resource version may constitute a unique identification name of the CRD resource on the controller management platform 410.

According to the embodiment of the present disclosure, after the CRD Resource is registered on the controller management platform 410 using the CRD Resource definition file, the CRD Resource may be instantiated using the corresponding Resource controller, and the instantiated CRD Resource may be referred to as CR (Custom Resource). The CR resource may represent a desired state, and after a CR is created, the corresponding controller may listen to the CR's state to reconcile the actual state to the desired state according to the logic of the control loop.

According to an embodiment of the present disclosure, the network resource controller 420 is configured to: in response to monitoring a creation event triggered by a creation instruction, acquiring network resource configuration information of a new computing instance input by a user; generating a network configuration instruction according to the network resource configuration information of the new computing instance; sending the network configuration instruction to a computing node corresponding to the new computing instance to generate network resource information of the new computing instance; wherein the network resource configuration information includes at least one of: and calculating the network segment information, the IP address, the subnet mask and the virtual local area network number to which the example belongs.

According to the embodiment of the disclosure, the requirement file may include Network customized resources, and the Network customized resources may include a Network CRD (user customized Network resource) and a Network claim CRD (user customized Network declaration resource), where the Network CRD is used to describe Network segment information to which the stateful service container belongs. The networkclasm CRD is used for describing specific Network information such as a state service container IP address, a subnet mask, a Virtual Local Area Network (VLAN) number and the like.

According to the embodiment of the disclosure, the Network CRD may include the following information: VLAN number of Network segment, initial IP address of Network segment, end IP address of Network segment, gateway address of Network segment and mask bit number of Network segment. The status field in the Network CRD is updated by the Network resource controller 420 according to the Network status, wherein the status field may include the number information of all the IPs of the Network segment, and may also include the number of the IP addresses that have been used in the Network segment.

According to the embodiment of the disclosure, the fields of the networkclim CRD may include: name of Network to which networkclasm belongs. Wherein, the status field in the networkclasm CRD can be updated by the network resource controller 420 according to the networkclasm status. The status field may include IP address information allocated by the network resource controller 420 for the NetworkClaim, may also include IP address information of a scheduled computing node, and may also include information on whether the NetworkClaim is used. The compute nodes that are scheduled may be specified in custom resources or may be assigned by the controller management platform.

According to the embodiment of the disclosure, the Network resource controller 420 may monitor states of Network CRD and Network Claim CRD resources and respond to an event of creating a container, and generate a Network configuration instruction according to Network information configured by the Network CRD and the Network Claim CRD resources, and the Network resource controller 420 sends the Network configuration instruction to a Network controller agent of the computing node, so that the Network controller agent configures a Network for the container. The network controller agent is deployed at each computing node, receives a network configuration instruction sent by the network resource controller 420, and configures the network for the corresponding container according to the instruction. In this embodiment, the virtual network card is added to the network namespace of the container.

FIG. 5 schematically illustrates a flow chart of a method for a network resource controller to create a network resource according to an embodiment of the disclosure.

As shown in fig. 5, the method includes operations S501 to S505.

In operation S501, a user-defined network declaration resource networkclim CRD corresponding to the new container created by the user is acquired.

In operation S502, a Network resource Network CRD is obtained according to the user-defined Network declaration resource Network CRD.

In operation S503, a globally unique IP address is allocated to the container according to the Network segment information in the user Network customized resource Network CRD.

In operation S504, a network configuration instruction is generated according to the generated IP address, VLAN number, gateway address, and mask bit number.

In operation S505, a network configuration instruction is sent to the network controller agent of the computing node where the newly created container is located, so that the network controller agent configures the network.

According to the embodiment of the disclosure, after the network is configured, the generated IP address, VLAN number, gateway address and mask bit number information can be updated to networkclasm CRD (user network declaration custom resource). Specifically, the network resource controller 420 may update a status field of the networkclasm CRD, and synchronize the generated information such as the IP address to the networkclasm CRD. Because the networkclasm CRD corresponds to the container one to one, the IP address can be bound to the container.

According to an embodiment of the present disclosure, the storage resource controller 430 is configured to: in response to monitoring a creation event triggered by a creation instruction, acquiring storage resource configuration information of a new computing instance input by a user; generating a storage configuration instruction according to the storage resource configuration information of the new computing instance; and sending the storage configuration instruction to the computing node corresponding to the new computing instance to generate the storage resource information of the new computing instance. Wherein the storage resource configuration information includes at least one of: the storage pool used by the computing instance, the level of the storage pool, the management port of the disk machine where the storage pool is located, the IP address of the management port, the information of the file system mounted by the computing instance, and the size of the file system.

According to the embodiment of the disclosure, the requirement file may include a Storage custom resource, and the Storage custom resource may include a Storage area Network system CRD (Storage area Network CRD, abbreviated as "Storage CRD"), a Host CRD (user-defined Host resource), a lungerop CRD (logical unit number CRD, abbreviated as "Lun CRD"), and a Volumepath CRD (user-defined mount path resource), where the Storage custom resource is used for abstractively and centrally storing information. And the Host CRD resource is used for abstracting the topological relation between the computing node and the centralized storage. And the LungRoup CRD resource is used for abstracting the information of the data volume in the centralized storage. And the Volumepath CRD resource is used for abstracting the information of the mounted volume on the computing node.

According to the embodiment of the present disclosure, a computing node is connected to a disk drive through an HBA (Host Bus Adapter) card using an SAN (Storage Area Network) optical Network, each HBA card is embodied as an FC (fiber Channel) initiator at the disk drive side, each computing node is a Host, and the Host needs to associate with an initiator of a corresponding HBA card; and forming a Host group by a plurality of hosts. On the disk side, disk machines are divided into different StoragePool; dividing Luns (Logical unit number ) from StoragePool; a plurality of Luns form Lungroup. Adding the Hostgroup and Lungo to the same MappingView (mapping chart) establishes the relation between the Host and the Lun. The mounted block device can be identified by the computing node through multipath software, wherein the block device can be a device capable of randomly accessing a fixed-size data piece, and can be mounted to a specified directory after a file system is created for the block device, so that persistent storage is provided for the container.

In accordance with an embodiment of the present disclosure, the Sansystem CRD may include the following field information: specifying which StoragePool (storage resource pool) can be used, specifying the level of the StoragePool, the management port IP address of the disk drive, the management port of the disk drive, the management user name of the disk drive, the management password of the disk drive, and the model number of the disk drive.

According to an embodiment of the present disclosure, the Host CRD may include the following field information: the name of the SansystemCRC that the compute node belongs to, the Hostgroup name corresponding to the disk side of the compute node, the IP address of the compute node, the type of the initiator, and the WWN (world Wide name, WWN for short) number of the initiator.

According to an embodiment of the present disclosure, the lungerop CRD may include the following field information: the method comprises the steps of dividing types of luns on a disk machine side, dividing sizes of the luns, mounting a file system type of a directory, a Hostgroup associated with the lungo, a StoragPool level of the Lun, a PV (Physical Volume) name corresponding to the lungo, a Sansysem CRD resource name corresponding to the lungo, a VG (Volume Group) name created on a computing node, attribute updating information corresponding to the Lun when the Lun is created on the disk machine, and mappingView information corresponding to the lungo returned by the disk machine.

According to the embodiment of the present disclosure, the Volumepath CRD may include the following field information: the type of the created file system, the Lun ID number used for mounting, the node IP address of the mounted file system, the size of the mounted file system, the name of the created VG and the related information updated after the mounting of the file system.

FIG. 6 schematically illustrates a flow chart of a method for a storage resource controller to create a storage resource according to an embodiment of the present disclosure.

As shown in fig. 6, the method includes operations S601 to S606.

In operation S601, a user-defined Host resource Host CRD is obtained.

In operation S602, a user-defined storage area network system resource Sansystem CRD is obtained according to the user-defined Host resource Host CRD.

In operation S603, the storage resource pool StoragePool information available according to the user-defined storage area network system resource Sansystem CRD is obtained. The storage resource controller 430 may log in the management port of the disk drive according to the management port IP address of the disk drive in the Sansystem CRD, and determine whether the storage pool status is available. Matching with the available StoragePool names specified in the Sansystem CRD confirms the StoragePool information available to the final storage manager.

In operation S604, a user-defined logical unit number resource lungeroup CRD is created according to the storage resource pool StoragePool information available. The storage resource controller 430 may create a lungerop CRD resource according to the applied capacity information, file system format, disk information, node information, initiator, and other information.

In operation S605, a storage resource and a user-defined mount volume path resource Volumepath CRD are created on the disc machine side according to the user-defined logical unit number resource lungerop CRD. The storage resource controller 430 may access the disk drive through the management IP of the disk drive according to the information of the lungerop CRD, and create a required storage resource to allocate to the computing node where the container is located. And can update the state of the lungerop CRD according to the state returned by the disk drive. The storage resource controller 430 may determine whether the creation of the disk-side storage resource is completed according to the state of the lungerop CRD. And if the creation is finished, updating the state of the Lungorup CRD according to the information returned by the disk drive and creating the Volumepath CRD resource.

In operation S606, the file system is mounted according to the user-defined mount volume path resource Volumepath CRD. The storage controller agents deployed in the computing nodes can judge whether the node applying for mounting is the storage controller agent itself by monitoring the state of the newly created Volumepath CRD resource. If the device name is the device name corresponding to the computing node, the corresponding device name on the computing node is obtained according to the Lun ID information, VG is created according to the device name and the VG name, the file system is formatted according to the file system format, a mounting directory is created, and the file system is mounted.

According to the embodiment of the present disclosure, after the file system is mounted, the state of the Volumepath CRD resource may be updated. Specifically, the storage controller agent may update the state of the Volumepath CRD resource according to the state of the mounted file system.

According to an embodiment of the present disclosure, the physical machine resource controller 440 is configured to: in response to monitoring a creation event triggered by a creation instruction, acquiring physical machine resource configuration information of a new computing instance input by a user; generating a physical machine configuration instruction according to the physical machine resource configuration information of the new calculation example; sending the physical configuration instruction to a computing node corresponding to the new computing instance to generate physical machine resource information of the new computing instance;

wherein the physical machine resource configuration information includes at least one of: the method comprises the following steps of calculating baseboard management controller information of a physical machine where an example is located, IP information of the baseboard management controller, operating system information of the physical machine where the example is located, IP information of the physical machine and gateway information of the physical machine.

According to the embodiment of the disclosure, the requirement file may include a physical machine self-defining resource, and the physical machine self-defining resource may include a barreme CRD (user self-defining physical machine resource) for abstracting physical machine information.

The physical machine resource controller 440 may monitor creation of the barremet CRD, and configure the physical machine resource to provide the physical machine service through out-of-band management technologies such as BMC (baseboard management controller), PXE (Preboot execution environment).

The following explains the execution process of the physical machine resource controller 440 by taking an example of a physical machine requested by a user as a specific example.

FIG. 7 schematically illustrates a flow diagram of a method of creating a physical machine resource according to an embodiment of the disclosure.

As shown in fig. 7, the method includes operations S701 to S704.

In operation S701, the physical machine resource controller 440 manages a physical machine state according to the IP information of the BMC, and powers on the physical machine.

In operation S702, the physical machine resource controller 440 connects to the server through the physical machine network card PXE client, and the server issues a start kernel for the physical machine to prepare for installing an operating system.

In operation S703, the physical machine resource controller 440 mounts the operating system image by booting the kernel, and specifies an operating system for the physical machine installation user.

In operation S704, the network resource controller 420 configures a network for the physical machine according to the network requirement information of the user in the user-defined physical machine resource barremecl CRD.

According to an embodiment of the present disclosure, the virtual machine resource controller 450 is configured to: in response to monitoring a creation event triggered by a creation instruction, acquiring virtual machine resource configuration information of a new computing instance input by a user; generating a virtual machine configuration instruction according to the virtual machine resource configuration information of the new computing instance; sending the virtual machine configuration instruction to a computing node corresponding to the new computing instance to generate virtual machine resource information of the new computing instance; the virtual machine resource configuration information includes at least one of the following: the method comprises the steps of calculating operating system information of a virtual machine where an instance is located, IP information of the virtual machine and gateway information of the virtual machine.

According to the embodiment of the disclosure, the requirement file may include a virtual machine custom resource, and the virtual machine custom resource may include a VirtualMachine CRD (user-defined virtual machine resource) for abstracting virtual machine information.

The Virtual Machine resource controller 450 may monitor the creation of Virtual Machine CRD resources, and create Virtual Machine resources for a user through a Virtual Machine technology of KVM (Kernel-based Virtual Machine).

FIG. 8 schematically shows a flow diagram of a method of creating virtual machine resources according to an embodiment of the disclosure.

As shown in fig. 8, the method includes operations S801 to S804.

In operation S801, the virtual machine resource controller 450 selects a host machine through a preset scheduling algorithm to create a virtual machine for a user.

In operation S802, the virtual machine resource controller 450 creates a virtual machine on a host machine through KVM technology according to user requirements.

In operation S803, the virtual machine resource controller 450 mounts an operating system image for the virtual machine according to the operating system requirement information of the user in the user-defined virtual machine resource virtualmachine crd.

In operation S804, the network resource controller 420 configures a network for the host according to the network requirement information of the user in the user-defined virtual machine resource virtualmachine crd.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any number of the controller management platform 410, the network resource controller 420, the storage resource controller 430, the physical machine resource controller 440, and the virtual machine resource controller 450 may be combined in one module/unit/sub-unit to be implemented, or any one of the modules/units/sub-units may be split into a plurality of modules/units/sub-units. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to an embodiment of the present disclosure, at least one of the controller management platform 410, the network resource controller 420, the storage resource controller 430, the physical machine resource controller 440, and the virtual machine resource controller 450 may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in any one of three implementations of software, hardware, and firmware, or in any suitable combination of any of them. Alternatively, at least one of the controller management platform 410, the network resource controller 420, the storage resource controller 430, the physical machine resource controller 440, and the virtual machine resource controller 450 may be implemented at least in part as computer program modules that, when executed, perform corresponding functions.

FIG. 9 schematically shows a block diagram of a computer system suitable for implementing the above described method according to an embodiment of the present disclosure. The computer system illustrated in FIG. 9 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.

As shown in fig. 9, a computer system 900 according to an embodiment of the present disclosure includes a processor 901 which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. Processor 901 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 901 may also include on-board memory for caching purposes. The processor 901 may comprise a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.

In the RAM 903, various programs and data necessary for the operation of the system 900 are stored. The processor 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. The processor 901 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 902 and/or the RAM 903. Note that the programs may also be stored in one or more memories other than the ROM 902 and the RAM 903. The processor 901 may also perform various operations of the method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

System 900 may also include an input/output (I/O) interface 905, input/output (I/O) interface 905 also connected to bus 904, according to an embodiment of the present disclosure. The system 900 may also include one or more of the following components connected to the I/O interface 905: an input portion 906 including a keyboard, a mouse, and the like; an output section 907 including components such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 908 including a hard disk and the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as necessary. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 910 as necessary, so that a computer program read out therefrom is mounted into the storage section 908 as necessary.

According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure 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 storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 909, and/or installed from the removable medium 911. The computer program, when executed by the processor 901, performs the above-described functions defined in the system of the embodiment of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: 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), 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 disclosure, 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.

For example, according to embodiments of the present disclosure, a computer-readable storage medium may include the ROM 902 and/or the RAM 903 described above and/or one or more memories other than the ROM 902 and the RAM 903.

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 disclosure. 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. Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A resource scheduling system, comprising:

the controller management platform is used for receiving resource configuration information of each calculation example input by a user;

a plurality of types of resource controllers, each of the resource controllers to:

acquiring resource configuration information of each computing instance input by a user from the controller management platform;

acquiring actual resource information of each computing instance from the computing node where each computing instance is located; and

and under the condition that the resource configuration information of each computing instance is different from the actual resource information, sending an instruction to the computing node where each computing instance is located so as to schedule each computing node to adjust the actual resource information of each computing instance.

2. The system of claim 1, wherein:

the controller management platform is further to: receiving a creation instruction for creating a new computing instance input by a user, and receiving resource configuration information of the new computing instance input by the user;

each of the resource controllers is to:

in response to monitoring a creation event triggered by the creation instruction, acquiring resource configuration information of the new computing instance input by the user;

generating a configuration instruction according to the resource configuration information of the new computing instance; and

sending the configuration instruction to a compute node corresponding to the new compute instance to create the new compute instance.

3. The system of claim 2, wherein the plurality of types of resource controllers includes a network resource controller;

the network resource controller is to:

in response to monitoring a creation event triggered by the creation instruction, acquiring network resource configuration information of the new computing instance input by the user;

generating a network configuration instruction according to the network resource configuration information of the new computing instance; and

sending the network configuration instruction to a computing node corresponding to the new computing instance to generate network resource information of the new computing instance;

wherein the network resource configuration information includes at least one of: and the network segment information, the IP address, the subnet mask and the virtual local area network number to which the calculation example belongs.

4. The system of claim 2, wherein the plurality of types of resource controllers includes a storage resource controller;

the storage resource controller is to:

in response to monitoring a creation event triggered by the creation instruction, acquiring storage resource configuration information of the new computing instance input by the user;

generating a storage configuration instruction according to the storage resource configuration information of the new computing instance; and

sending the storage configuration instruction to a computing node corresponding to the new computing instance to generate storage resource information of the new computing instance;

wherein the storage resource configuration information includes at least one of: the storage pool used by the computing instance, the level of the storage pool, the management port of the disk machine where the storage pool is located, the IP address of the management port, the information of the file system mounted by the computing instance and the size of the file system.

5. The system of claim 2, wherein the plurality of types of resource controllers includes a physical machine resource controller;

the physical machine resource controller is configured to:

in response to monitoring a creation event triggered by the creation instruction, acquiring physical machine resource configuration information of the new computing instance input by the user;

generating a physical machine configuration instruction according to the physical machine resource configuration information of the new computing example; and

sending the physical machine configuration instruction to a computing node corresponding to the new computing instance to generate physical machine resource information of the new computing instance;

wherein the physical machine resource configuration information includes at least one of: the information of the baseboard management controller of the physical machine where the computing example is located, the IP information of the baseboard management controller, the operating system information of the physical machine where the computing example is located, the IP information of the physical machine and the gateway information of the physical machine.

6. The system of claim 2, wherein the plurality of types of resource controllers comprise a virtual machine resource controller;

the virtual machine resource controller is configured to:

in response to monitoring a creation event triggered by the creation instruction, acquiring virtual machine resource configuration information of the new computing instance input by the user;

generating a virtual machine configuration instruction according to the virtual machine resource configuration information of the new computing instance; and

sending the virtual machine configuration instruction to a computing node corresponding to the new computing instance to generate virtual machine resource information of the new computing instance;

wherein the virtual machine resource configuration information includes at least one of: the method comprises the following steps of operating system information of a virtual machine where the computing instance is located, IP information of the virtual machine and gateway information of the virtual machine.

7. A resource scheduling method comprises the following steps:

receiving a requirement description file input by a user through a controller management platform, wherein the requirement description file comprises resource configuration information of a computing instance;

acquiring respective resource state description files through a plurality of types of resource controllers, wherein the resource state description files comprise actual resource information of the computing instances;

monitoring a demand description file in the controller management platform through each resource controller to determine whether resource configuration information in the demand description file is the same as actual resource information in the resource state description file;

and under the condition that the resource configuration information in the requirement description file is determined to be different from the actual resource information in the resource state description file, sending an instruction to the computing node where the computing instance is located so as to schedule the computing node to adjust the actual resource information of the respective computing instance.

8. The method of claim 7, further comprising:

receiving, by a controller management platform, a creation instruction for creating a new computing instance and resource configuration information of the new computing instance, which are input by a user;

each resource controller responds to a creation event triggered by the creation instruction, and acquires resource configuration information of the new computing instance input by the user;

9. A computer system, comprising:

one or more processors;

a memory for storing one or more programs,

wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 7-8.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 7 to 8.