CN109951531B - Super-fusion cloud computing system - Google Patents
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Abstract
The invention relates to the technical field of communication, and provides a super-fusion cloud computing system which comprises data exchange equipment and is characterized by further comprising at least one super-fusion node, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a super-fusion cloud computing system.
Background
The data center architecture based on the virtualization technology is called a mainstream of the data center in the last decades, but is still a traditional three-layer architecture formed by overlapping three components, namely a server, a storage network and a storage device, as shown in fig. 1. With the rapid increase of the application and the number of users, the three-layer architecture in fig. 1 exposes many problems in the data center construction and operation and maintenance process, and the fundamental reason is that the performance of centralized shared storage cannot really realize capacity expansion as required along with the service development. The memory controller determines the overall performance of the memory, and cannot achieve lateral expansion because it is embedded in the memory device. When the number of virtual machines and the demand of I/O (Input/Output) interfaces increase greatly, a huge amount of data access requests may cause congestion of a controller, which causes a performance bottleneck. Therefore, when a new application needs to be brought online, the performance bottleneck problem of the storage device in the existing environment can be solved only by purchasing a new storage device.
Just because the storage device lacks the linear expansion ability, the business development is limited, and the business development requirement cannot be responded to in time. Advanced features of storage devices such as data compression, deduplication, replication features, and ports of SAN (fabric) switches all require additional authorization to be purchased for active use, which means increased cost.
To sum up, with the increase of the number of applications and the scale of users and the improvement of the requirements of users on the availability of systems, the three-layer architecture cannot meet the requirements of the current business development of enterprises and public institutions due to the defects of complex architecture, high maintenance difficulty, high cost and the like, and a new infrastructure is needed by data center construction and management departments to solve the technical problems.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a super-fusion cloud computing system, so as to solve the technical problems of complex architecture, high maintenance difficulty and high cost of a three-layer architecture in the prior art.
The embodiment of the invention provides a super-fusion cloud computing system, which comprises data exchange equipment and at least one super-fusion node, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; and the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment.
Each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module.
The computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of the computing module and the storage occupancy rate of the storage module.
The control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed.
The longitudinal capacity expansion is: and data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node.
The lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes.
The super-fusion cloud computing system provided by the embodiment of the invention comprises data exchange equipment and at least one super-fusion node, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed; the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node; the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes. According to the architecture of the super-fusion cloud computing system, the computing module, the network module, the storage module and the control module are arranged in the same super-fusion all-in-one machine, namely on the same physical node, the architecture is simple, the hardware cost is reduced, meanwhile, transverse expansion or longitudinal expansion can be flexibly carried out according to the resource occupation information of the computing module and the storage module in the current super-fusion node, the problem of performance bottleneck of the storage module is solved, and the super-fusion cloud computing system has high practicability and usability.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a diagram illustrating a conventional three-tier architecture according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a super-converged cloud computing system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a super-fusion node according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a super-fusion all-in-one machine according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hyper-converged cloud computing system according to a second embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to illustrate the technical solution of the present invention, the following description is given by way of specific examples.
The first embodiment is as follows:
fig. 2 is a schematic diagram illustrating a super-fusion cloud computing system according to a first embodiment of the present invention, and fig. 3 is a schematic diagram illustrating a structure of a super-fusion node according to a first embodiment of the present invention; fig. 4 shows a schematic structural diagram of a super-fusion all-in-one machine provided in an embodiment of the present invention. Referring to fig. 2, 3 and 4, the super-fusion cloud computing system includes a data exchange device and two super-fusion nodes, each of which includes three super-fusion all-in-one machines; the three super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed.
Wherein the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node; the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes.
Optionally, the computing module is configured to analyze resource usage conditions in the computing module and the storage module to obtain corresponding resource occupation information, and specifically includes:
the computing module is used for determining the comprehensive resource occupancy rate of the computing module and the storage occupancy rate of the storage module, and taking the comprehensive resource occupancy rate as the corresponding resource occupancy information.
Furthermore, corresponding weights can be set for the operation utilization rate and the storage occupancy rate of the storage module respectively according to the analysis requirement. For example, the weight of the operation usage rate is W1, and the storage occupancy rate of the storage module is W2, then the resource integrated occupancy rate is the operation usage rate W1+ the storage occupancy rate W2. For example, if the calculation usage rate is 60% (i.e., 0.6), the weight of the calculation usage rate is W1 ═ 0.6, the storage occupancy is 70% (i.e., 0.7), and the storage occupancy W2 is 0.4, then the resource integrated occupancy is 0.6 × 0.6+0.7 ═ 0.4 ═ 0.64.
Optionally, the control module is configured to determine whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and perform longitudinal capacity expansion or lateral capacity expansion to the outside sequentially through the network module and the data exchange device when the storage capacity expansion needs to be performed, specifically:
the same super-fusion node comprises a first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine; in the first super-fusion all-in-one machine, the control module determines the comprehensive resource occupancy rate according to the operation utilization rate of the computing module and the storage occupancy rate of the storage module; when the comprehensive resource occupancy rate is greater than the preset occupancy rate, the control module communicates with the control module of the second super-convergence all-in-one machine through the network module, the data exchange equipment and the network module of the second super-convergence all-in-one machine, and when the storage module of the second super-convergence all-in-one machine is determined to meet the longitudinal expansion condition, the control module controls the storage module to longitudinally expand towards the second super-convergence all-in-one machine through the network module and the data exchange equipment in the first super-convergence all-in-one machine.
And when the storage module of the second super-convergence all-in-one machine cannot meet the requirement of longitudinal expansion, in the first super-convergence all-in-one machine, the control module controls the storage module to transversely expand to the external super-convergence node sequentially through the network module and the data exchange equipment.
For example, the super-fusion cloud computing system comprises two super-fusion nodes, each super-fusion node comprises 3 super-fusion all-in-one machines, and when the storage module of each super-fusion all-in-one machine in each super-fusion node cannot meet the longitudinal expansion requirement, it is determined that the configuration of the storage module of each super-fusion all-in-one machine in the current super-fusion node cannot meet the longitudinal expansion requirement. If the storage module of the super-fusion all-in-one machine in one super-fusion node cannot meet the longitudinal extension requirement, judging whether the storage module of the super-fusion all-in-one machine in the other super-fusion node can meet the longitudinal extension requirement or not, and if the storage module of the super-fusion all-in-one machine in the other super-fusion node cannot meet the longitudinal extension requirement, in the first super-fusion all-in-one machine of the super-fusion node, controlling the storage module to transversely extend to the external super-fusion node through the network module and the data exchange equipment in sequence by the control module. It can be understood that if the storage module of the super-fusion all-in-one machine in another super-fusion node can meet the requirement of longitudinal expansion, the longitudinal expansion is performed.
Wherein the longitudinal capacity expansion specifically comprises:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine for backup, and migrating the data backed up to the storage module of the second super-fusion all-in-one machine to the storage module of the first super-fusion all-in-one machine after the capacity of the storage module of the first super-fusion all-in-one machine is expanded; the same super-fusion node comprises the first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine.
Optionally, the migrations are all online thermomigrations. The capacity expansion includes, but is not limited to, hardware upgrade of the CPU core number, the memory, and the disk, for example, the CPU core number of the current super-fusion all-in-one machine is 8 cores, the memory is 2TB, the upgraded CPU core number is 16 cores, and the memory is 8 TB.
Wherein the lateral capacity expansion specifically is:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine; the first super-fusion all-in-one machine and the second super-fusion all-in-one machine belong to a super-fusion node.
For example, the ultra-fusion cloud computing system comprises an ultra-fusion node A, wherein the ultra-fusion node A comprises 3 ultra-fusion kiosks a1, a2 and a3, when the lateral expansion is needed, at least one ultra-fusion node is added according to the need of the lateral expansion, and if the ultra-fusion node B is added and comprises the ultra-fusion kiosks B1, B2 and B3, data in the storage modules of the fusion kiosks a1, a2 and/or a3 are migrated to the storage modules in the ultra-fusion kiosks B1, B2 and/or B3. It can be understood that when the requirement of the lateral expansion is the first requirement, the data in the storage module of one fusion kiosk (a1, a2 or a3) in the super-fusion node a can be migrated to the storage module in the super-fusion kiosk b1, b2 or b 3; when the requirement of the transverse expansion is a second requirement, the data in the storage modules of the two fusion unified machines (a1, a 2; a1, a2 or a2, a3) in the super-fusion node A can be migrated to the storage modules in the super-fusion unified machines b1, b2 or b 3; when the requirement for lateral expansion is a third requirement, the data in the storage modules of the three super-fusion unions (a1, a2 and a3) in the super-fusion node a can be migrated to the storage modules in the super-fusion unions b1, b2 or b3 together; when the requirement for lateral expansion is a fourth requirement, data in storage modules of two super-fusion all-in-one machines (a1, a 2; a1, a3 or a2, a3) in the super-fusion node a can be migrated to storage modules of two super-fusion all-in-one machines (b1, b 2; b1, b3 or b2, b3) correspondingly, for example, data in a storage module of the super-fusion all-in-one machine a1 in the super-fusion node a is migrated to a storage module of the super-fusion all-in-one machine b1, data in a storage module of the super-fusion all-in-one machine 63a 2 in the super-fusion node a is migrated to a storage module of the super-fusion all-in-one machine b2, and data in a storage module of the super-fusion all-in-one machine a3 in the super-fusion node a is not migrated. When the requirement of the transverse expansion is a fifth requirement, data in the storage modules of the three super-fusion all-in-one machines (a1, a2, and a3) in the super-fusion node a can be respectively and correspondingly migrated to the storage modules of the three super-fusion all-in-one machines (b1, b2, and b3), for example, data in the storage module of the super-fusion all-in-one machine a1 is respectively and correspondingly migrated to the storage module of the super-fusion all-in-one machine b1, data in the storage module of the super-fusion all-in-one machine a2 is respectively and correspondingly migrated to the storage module of the super-fusion all-in-one machine b2, and data in the storage module of the super-fusion all-in-one machine a3 is respectively and correspondingly migrated to the storage module of the super-.
It should be noted that the first requirement, the second requirement, the third requirement, the fourth requirement, and the fifth requirement are different requirements, and optionally, the first requirement, the second requirement, the third requirement, the fourth requirement, and the fifth requirement are sequentially increased. Optionally, the calculation module is further configured to calculate an access frequency of data in the storage module.
The control module is also used for transferring the data with the access frequency lower than the preset frequency in the storage module to the storage module of the external hyper-convergence all-in-one machine sequentially through the network module and the data exchange equipment.
Wherein, the access frequency refers to the number of accesses within a preset period of time. For example, if the preset frequency is 2 accesses within 60 days, the data with the access frequency (for example, 1 access within 60 days) lower than the preset frequency (2 accesses within 60 days) in the storage module needs to be migrated, and the data is migrated to the storage module of the external super-convergence all-in-one machine through the network module and the data exchange device. It should be noted that the storage module of the external super-fusion all-in-one machine refers to a super-fusion all-in-one machine other than the current super-fusion all-in-one machine, including a super-fusion all-in-one machine with the same super-fusion node and a super-fusion all-in-one machine with different super-fusion nodes.
Optionally, the storage module is a plurality of magnetic disks for storing data.
Optionally, the super-fusion node includes at least three super-fusion all-in-one machines. It can be understood that each super-fusion node may further include four super-fusion integrators, or a part of super-fusion nodes includes three super-fusion integrators, and a part of super-fusion nodes includes four super-fusion integrators, which is not limited herein.
The super-fusion cloud computing system provided by the embodiment of the invention comprises data exchange equipment and a plurality of super-fusion nodes, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed; the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node; the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes. According to the architecture of the super-fusion cloud computing system, the computing module, the network module, the storage module and the control module are arranged in the same super-fusion all-in-one machine, namely on the same physical node, the architecture is simple, the hardware cost is reduced, meanwhile, transverse expansion or longitudinal expansion can be flexibly carried out according to the resource occupation information of the computing module and the storage module in the current super-fusion node, the problem of performance bottleneck of the storage module is solved, and the super-fusion cloud computing system has high practicability and usability.
Example two:
fig. 5 is a schematic diagram illustrating a hyper-converged cloud computing system according to a second embodiment of the present invention. Referring to fig. 5, the super-fusion cloud computing system includes a data exchange device and a super-fusion node, where the super-fusion node includes three super-fusion all-in-one machines; the three super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed.
Wherein the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node; the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes.
Optionally, the computing module is configured to analyze resource usage conditions in the computing module and the storage module to obtain corresponding resource occupation information, and specifically includes:
the computing module is used for determining the comprehensive resource occupancy rate of the computing module and the storage occupancy rate of the storage module, and taking the comprehensive resource occupancy rate as the corresponding resource occupancy information.
Furthermore, corresponding weights can be set for the operation utilization rate and the storage occupancy rate of the storage module respectively according to the analysis requirement. For example, the weight of the operation usage rate is W1, and the storage occupancy rate of the storage module is W2, then the resource integrated occupancy rate is the operation usage rate W1+ the storage occupancy rate W2. For example, if the calculation usage rate is 60% (i.e., 0.6), the weight of the calculation usage rate is W1 ═ 0.6, the storage occupancy is 70% (i.e., 0.7), and the storage occupancy W2 is 0.4, then the resource integrated occupancy is 0.6 × 0.6+0.7 ═ 0.4 ═ 0.64.
Optionally, the control module is configured to determine whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and perform longitudinal capacity expansion or lateral capacity expansion to the outside sequentially through the network module and the data exchange device when the storage capacity expansion needs to be performed, specifically:
the same super-fusion node comprises a first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine; in the first super-fusion all-in-one machine, the control module determines the comprehensive resource occupancy rate according to the operation utilization rate of the computing module and the storage occupancy rate of the storage module; when the comprehensive resource occupancy rate is greater than the preset occupancy rate, the control module communicates with the control module of the second super-convergence all-in-one machine through the network module, the data exchange equipment and the network module of the second super-convergence all-in-one machine, and when the storage module of the second super-convergence all-in-one machine is determined to meet the longitudinal expansion condition, the control module controls the storage module to longitudinally expand towards the second super-convergence all-in-one machine through the network module and the data exchange equipment in the first super-convergence all-in-one machine.
And when the storage module of the second super-convergence all-in-one machine cannot meet the requirement of longitudinal expansion, in the first super-convergence all-in-one machine, the control module controls the storage module to transversely expand to the external super-convergence node sequentially through the network module and the data exchange equipment.
For example, the super-fusion cloud computing system comprises two super-fusion nodes, each super-fusion node comprises 3 super-fusion all-in-one machines, and when the storage module of each super-fusion all-in-one machine in each super-fusion node cannot meet the longitudinal expansion requirement, it is determined that the configuration of the storage module of each super-fusion all-in-one machine in the current super-fusion node cannot meet the longitudinal expansion requirement. If the storage module of the super-fusion all-in-one machine in one super-fusion node cannot meet the longitudinal extension requirement, judging whether the storage module of the super-fusion all-in-one machine in the other super-fusion node can meet the longitudinal extension requirement or not, and if the storage module of the super-fusion all-in-one machine in the other super-fusion node cannot meet the longitudinal extension requirement, in the first super-fusion all-in-one machine of the super-fusion node, controlling the storage module to transversely extend to the external super-fusion node through the network module and the data exchange equipment in sequence by the control module. It can be understood that if the storage module of the super-fusion all-in-one machine in another super-fusion node can meet the requirement of longitudinal expansion, the longitudinal expansion is performed.
Wherein the longitudinal capacity expansion specifically comprises:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine for backup, and migrating the data backed up to the storage module of the second super-fusion all-in-one machine to the storage module of the first super-fusion all-in-one machine after the capacity of the storage module of the first super-fusion all-in-one machine is expanded; the same super-fusion node comprises the first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine.
Optionally, the migrations are all online thermomigrations. The capacity expansion includes, but is not limited to, hardware upgrade of the CPU core number, the memory, and the disk, for example, the CPU core number of the current super-fusion all-in-one machine is 8 cores, the memory is 2T, the upgraded CPU core number is 16 cores, and the memory is 8T.
Wherein the lateral capacity expansion specifically is:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine; the first super-fusion all-in-one machine and the second super-fusion all-in-one machine belong to a super-fusion node.
For example, the ultra-fusion cloud computing system comprises an ultra-fusion node A, wherein the ultra-fusion node A comprises 3 ultra-fusion kiosks a1, a2 and a3, when the lateral expansion is needed, at least one ultra-fusion node is added according to the need of the lateral expansion, and if the ultra-fusion node B is added and comprises the ultra-fusion kiosks B1, B2 and B3, data in the storage modules of the fusion kiosks a1, a2 and/or a3 are migrated to the storage modules in the ultra-fusion kiosks B1, B2 and/or B3. It can be understood that when the requirement of the lateral expansion is the first requirement, the data in the storage module of one fusion kiosk (a1, a2 or a3) in the super-fusion node a can be migrated to the storage module in the super-fusion kiosk b1, b2 or b 3; when the requirement of the transverse expansion is a second requirement, the data in the storage modules of the two fusion unified machines (a1, a 2; a1, a2 or a2, a3) in the super-fusion node A can be migrated to the storage modules in the super-fusion unified machines b1, b2 or b 3; when the requirement for lateral expansion is a third requirement, the data in the storage modules of the three super-fusion unions (a1, a2 and a3) in the super-fusion node a can be migrated to the storage modules in the super-fusion unions b1, b2 or b3 together; when the requirement for lateral expansion is a fourth requirement, data in storage modules of two super-fusion all-in-one machines (a1, a 2; a1, a3 or a2, a3) in the super-fusion node a can be migrated to storage modules of two super-fusion all-in-one machines (b1, b 2; b1, b3 or b2, b3) correspondingly, for example, data in a storage module of the super-fusion all-in-one machine a1 in the super-fusion node a is migrated to a storage module of the super-fusion all-in-one machine b1, data in a storage module of the super-fusion all-in-one machine 63a 2 in the super-fusion node a is migrated to a storage module of the super-fusion all-in-one machine b2, and data in a storage module of the super-fusion all-in-one machine a3 in the super-fusion node a is not migrated. When the requirement of the transverse expansion is a fifth requirement, data in the storage modules of the three super-fusion all-in-one machines (a1, a2, and a3) in the super-fusion node a can be respectively and correspondingly migrated to the storage modules of the three super-fusion all-in-one machines (b1, b2, and b3), for example, data in the storage module of the super-fusion all-in-one machine a1 is respectively and correspondingly migrated to the storage module of the super-fusion all-in-one machine b1, data in the storage module of the super-fusion all-in-one machine a2 is respectively and correspondingly migrated to the storage module of the super-fusion all-in-one machine b2, and data in the storage module of the super-fusion all-in-one machine a3 is respectively and correspondingly migrated to the storage module of the super-.
It should be noted that the first requirement, the second requirement, the third requirement, the fourth requirement, and the fifth requirement are different requirements, and optionally, the first requirement, the second requirement, the third requirement, the fourth requirement, and the fifth requirement are sequentially increased. Optionally, the calculation module is further configured to calculate an access frequency of data in the storage module.
The control module is also used for transferring the data with the access frequency lower than the preset frequency in the storage module to the storage module of the external hyper-convergence all-in-one machine sequentially through the network module and the data exchange equipment.
Wherein, the access frequency refers to the number of accesses within a preset period of time. For example, if the preset frequency is 2 accesses within 60 days, the data with the access frequency (for example, 1 access within 60 days) lower than the preset frequency (2 accesses within 60 days) in the storage module needs to be migrated, and the data is migrated to the storage module of the external super-convergence all-in-one machine through the network module and the data exchange device. It should be noted that the storage module of the external super-fusion all-in-one machine refers to a super-fusion all-in-one machine other than the current super-fusion all-in-one machine, including a super-fusion all-in-one machine with the same super-fusion node and a super-fusion all-in-one machine with different super-fusion nodes.
Optionally, the storage module is a plurality of magnetic disks for storing data.
Optionally, the super-fusion node includes at least three super-fusion all-in-one machines. It can be understood that each super-fusion node may further include four super-fusion integrators, or a part of super-fusion nodes includes three super-fusion integrators, and a part of super-fusion nodes includes four super-fusion integrators, which is not limited herein.
The super-fusion cloud computing system provided by the embodiment of the invention comprises data exchange equipment and a super-fusion node, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment; each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module; the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module; the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed; the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node; the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes. According to the architecture of the super-fusion cloud computing system, the computing module, the network module, the storage module and the control module are arranged in the same super-fusion all-in-one machine, namely on the same physical node, the architecture is simple, the hardware cost is reduced, meanwhile, transverse expansion or longitudinal expansion can be flexibly carried out according to the resource occupation information of the computing module and the storage module in the current super-fusion node, the problem of performance bottleneck of the storage module is solved, and the super-fusion cloud computing system has high practicability and usability.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (7)
1. The super-fusion cloud computing system comprises data exchange equipment and is characterized by further comprising at least one super-fusion node, wherein each super-fusion node comprises a plurality of super-fusion all-in-one machines; the plurality of super-integration all-in-one machines are in communication connection through the data exchange equipment;
each super-integration all-in-one machine comprises a computing module, a network module, a storage module and a control module;
the computing module is used for analyzing the resource use conditions in the computing module and the storage module to obtain corresponding resource occupation information; the resource use condition comprises the operation use rate of a computing module and the storage occupancy rate of a storage module;
the control module is used for determining whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupation information, and performing longitudinal capacity expansion or transverse capacity expansion to the outside sequentially through the network module and the data exchange equipment when the storage capacity expansion needs to be performed;
the longitudinal capacity expansion is: data backup and/or data migration are/is carried out among a plurality of super-fusion all-in-one machines in the same super-fusion node;
the lateral capacity is expanded to: and when the number of the super-fusion nodes is more than one, carrying out data migration between different super-fusion nodes.
2. The super-fusion cloud computing system of claim 1, wherein the control module is configured to determine whether the super-fusion all-in-one machine needs to perform storage capacity expansion according to the resource occupancy information, and perform longitudinal capacity expansion or lateral capacity expansion to the outside sequentially through the network module and the data exchange device when the storage capacity expansion needs to be performed, specifically:
the same super-fusion node comprises a first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine; in the first super-fusion all-in-one machine, the control module determines the comprehensive resource occupancy rate according to the operation utilization rate of the computing module and the storage occupancy rate of the storage module; when the comprehensive resource occupancy rate is greater than the preset occupancy rate, the control module communicates with the control module of the second super-fusion all-in-one machine through the network module, the data exchange equipment and the network module of the second super-fusion all-in-one machine, and when the storage module of the second super-fusion all-in-one machine is determined to meet the longitudinal expansion condition, the control module controls the storage module to longitudinally expand to the second super-fusion all-in-one machine through the network module and the data exchange equipment in the first super-fusion all-in-one machine;
and when the storage module of the second super-convergence all-in-one machine cannot meet the requirement of longitudinal expansion, in the first super-convergence all-in-one machine, the control module controls the storage module to transversely expand to the external super-convergence node sequentially through the network module and the data exchange equipment.
3. The super-fusion cloud computing system of claim 1 or 2, wherein the vertical capacity expansion is specifically:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine for backup, and migrating the data backed up to the storage module of the second super-fusion all-in-one machine to the storage module of the first super-fusion all-in-one machine after the capacity of the storage module of the first super-fusion all-in-one machine is expanded; the same super-fusion node comprises the first super-fusion all-in-one machine and at least one second super-fusion all-in-one machine.
4. The super-fusion cloud computing system of claim 1 or 2, wherein the lateral capacity expansion is specifically:
migrating data in a storage module of a first super-fusion all-in-one machine to a storage module of a second super-fusion all-in-one machine; the first super-fusion all-in-one machine and the second super-fusion all-in-one machine belong to a super-fusion node.
5. The hyper-converged cloud computing system of claim 1, wherein the computing module is further configured to compute access frequencies of data in the storage module;
the control module is also used for transferring the data with the access frequency lower than the preset frequency in the storage module to the storage module of the external hyper-convergence all-in-one machine sequentially through the network module and the data exchange equipment.
6. The hyper-converged cloud computing system of claim 1, wherein the storage modules are a plurality of disks for storing data.
7. The super-fusion cloud computing system of claim 1, wherein the super-fusion nodes comprise at least three super-fusion kiosks.
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