CN114679456A - High-performance computing and HPC cloud computing system and resource management technical method thereof - Google Patents
High-performance computing and HPC cloud computing system and resource management technical method thereof Download PDFInfo
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- CN114679456A CN114679456A CN202210310114.0A CN202210310114A CN114679456A CN 114679456 A CN114679456 A CN 114679456A CN 202210310114 A CN202210310114 A CN 202210310114A CN 114679456 A CN114679456 A CN 114679456A
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Abstract
The invention discloses a high-performance computing and HPC (high-performance computing) cloud computing system and a resource management technical method thereof. The high-performance computing and HPC cloud computing system and the resource management technical method thereof have the advantages that the internal computing structure of the cloud computing center is simple, the computing node matching is simple, the resource management computing efficiency is high, the stability is high, and the large time delay is effectively avoided when the mobile client terminal receives the returned execution result from the cloud computing system.
Description
Technical Field
The invention relates to the technical field of HPC cloud computing systems, in particular to a high-performance computing and HPC cloud computing system and a resource management technical method thereof.
Background
Cloud Computing (Cloud Computing) is a product of the convergence of traditional computer and network technology development, such as grid Computing, distributed Computing, parallel Computing, utility Computing, network storage, virtualization, load balancing, and the like. Many cloud computing deployments rely on computer clusters (but are quite different from the composition, architecture, purpose and working mode of grids), and also absorb the characteristics of autonomous computing and utility computing.
However, when the mobile client terminal executes the resource management operation through the cloud computing center, because the internal operation structure of the traditional cloud computing center is complex and the matching of the operation nodes is complex, the delay of the resource management operation is large, the stability is not high, and the mobile client terminal has a large time delay when receiving the returned execution result from the cloud computing system. Therefore, we improve this and propose a high performance computing and HPC cloud computing system and a resource management technique thereof.
Disclosure of Invention
In order to solve the technical problems, the invention provides the following technical scheme:
the invention discloses a high-performance computing and HPC (high-performance computing) cloud computing system which comprises a cloud computing center, wherein a data encryption module, a data storage module, a data transmission module and a data receiving module are arranged in the cloud computing center, the data encryption module, the data storage module, the data transmission module and the data receiving module can independently operate on data, a transmission end of the cloud computing center is provided with a service base station, a sharing end of the service base station is provided with a mobile client, and cloud computing data in the cloud computing center is subjected to data sharing with the mobile client through the service base station.
As a preferred technical solution of the present invention, the cloud computing center includes an HPC cloud computing system, a compute node processing unit, and a virtual server resource allocation unit, and the HPC cloud computing system, the compute node processing unit, and the virtual server resource allocation unit operate sequentially.
As a preferred technical solution of the present invention, a physical server node list is provided inside the HPC cloud computing system, and the physical server node list includes a plurality of physical server computing nodes for data analysis and computation.
As a preferred technical solution of the present invention, two parts of selecting a physical node calculation point and selecting a plurality of virtual calculation nodes are provided in the calculation node processing unit, and the two parts of selecting the physical node calculation point and selecting the plurality of virtual calculation nodes sequentially run.
As a preferred technical solution of the present invention, a plurality of virtual servers for processing data are arranged in the virtual server resource allocation unit, and the plurality of virtual servers are respectively matched with the selection of the plurality of virtual computing nodes.
A resource management technical method of a high-performance computing and HPC cloud computing system comprises the following steps:
s1, acquiring physical computing node parameters, namely acquiring the physical computing node parameters of the physical computing nodes from a node list of the HPC cloud computing system;
s2, selecting parameters of the physical computing nodes, and selecting the physical computing nodes meeting the resource demand parameters according to the parameters of the physical computing nodes;
s3, acquiring virtual computing node parameters, and acquiring virtual computing node parameters of virtual computing nodes in the selected physical computing nodes from the computing node list;
s4, selecting virtual computing node parameters, and selecting virtual computing nodes meeting the resource demand parameters according to the virtual computing node parameters;
and S5, matching the corresponding virtual server, and managing the resources by matching the corresponding virtual server with the virtual computing node parameters.
The invention has the beneficial effects that:
1. according to the high-performance computing and HPC cloud computing system and the resource management technical method thereof, the internal computing structure of the cloud computing center is simple, the matching of computing nodes is simple, the efficiency is high during resource management computing, the stability is high, and the large time delay is effectively avoided when the mobile client terminal receives the returned execution result from the cloud computing system;
2. according to the high-performance computing and HPC cloud computing system and the resource management technical method thereof, the physical computing node parameters of the physical computing nodes are obtained from the node list of the HPC cloud computing system, the physical computing nodes meeting the resource demand parameters are selected according to the physical computing node parameters, the parameter obtaining way is simple, and the efficiency is higher;
3. according to the high-performance computing and HPC cloud computing system and the resource management technical method thereof, resources are managed by matching the corresponding virtual servers through the virtual computing node parameters, and the management efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a high performance computing and HPC cloud computing system according to the present invention;
FIG. 2 is a schematic diagram of an internal cloud computing center of a high performance computing and HPC cloud computing system according to the present invention;
FIG. 3 is a schematic diagram of a resource management technique for a high performance computing and HPC cloud computing system according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example (b): as shown in fig. 1 to 3, the high performance computing and HPC cloud computing system includes a cloud computing center, a data encryption module, a data storage module, a data transmission module, and a data reception module are disposed inside the cloud computing center, the data encryption module, the data storage module, the data transmission module, and the data reception module can independently operate on data, a transmission end of the cloud computing center is provided with a service base station, a sharing end of the service base station is provided with a mobile client, and cloud computing data inside the cloud computing center is shared with the mobile client through the service base station.
The cloud computing center comprises an HPC cloud computing system, a computing node processing unit and a virtual server resource allocation unit, wherein the HPC cloud computing system, the computing node processing unit and the virtual server resource allocation unit run sequentially, the set HPC cloud computing system can preliminarily confirm the operated logic to ensure that the operated program can be confirmed, the set computing node processing unit can confirm the computing nodes of data, and the set virtual server resource allocation unit can match the confirmed computing nodes with the virtual nodes to ensure that the data operation efficiency is higher.
The HPC cloud computing system is internally provided with a physical server node list, the physical server node list comprises a plurality of physical server computing nodes used for data analysis and computation, and the source management data can be subjected to node acquisition through the plurality of physical server computing nodes, so that subsequent computation is facilitated.
The computing node processing unit is internally provided with two parts, namely a physical node computing point selection part and a plurality of virtual computing node selection parts, wherein the two parts, namely the physical node computing point selection part and the virtual computing node selection parts, operate sequentially, the physical computing node which meets the resource demand parameter can be selected according to the physical computing node parameter through the set physical node computing point selection, and the virtual computing node parameter of the virtual computing node in the selected physical computing node can be obtained from the computing node list through the plurality of virtual computing nodes.
The virtual server resource allocation unit is internally provided with a plurality of virtual servers for processing data, the plurality of virtual servers are respectively matched with the selection of the plurality of virtual computing nodes, and the plurality of virtual servers are respectively matched with the selection of the plurality of virtual computing nodes, so that the virtual servers corresponding to the virtual computing node parameters can be matched to manage resources.
A resource management technical method of a high performance computing and HPC cloud computing system comprises the following steps:
s1, acquiring physical computing node parameters, namely acquiring the physical computing node parameters of the physical computing nodes from a node list of the HPC cloud computing system;
s2, selecting parameters of the physical computing nodes, and selecting the physical computing nodes meeting the resource demand parameters according to the parameters of the physical computing nodes;
s3, acquiring virtual computing node parameters, and acquiring virtual computing node parameters of virtual computing nodes in the selected physical computing nodes from the computing node list;
s4, selecting virtual computing node parameters, and selecting virtual computing nodes meeting the resource demand parameters according to the virtual computing node parameters;
and S5, matching the corresponding virtual server, and managing the resources by matching the corresponding virtual server with the virtual computing node parameters.
The working principle is as follows: firstly, acquiring physical computing node parameters of physical computing nodes from a node list of an HPC (high-performance computing) cloud computing system, selecting the physical computing nodes meeting resource demand parameters according to the physical computing node parameters, then acquiring virtual computing node parameters of virtual computing nodes in the selected physical computing nodes from the computing node list, selecting the virtual computing nodes meeting the resource demand parameters according to the virtual computing node parameters, and managing resources by matching corresponding virtual servers according to the virtual computing node parameters; the internal operation structure of the cloud computing center is simple, operation node matching is simple, efficiency is high in resource management operation, stability is high, large time delay is effectively avoided when a mobile client terminal receives a returned execution result from a cloud computing system, physical computing node parameters of physical computing nodes are obtained from a node list of an HPC cloud computing system, the physical computing nodes meeting resource demand parameters are selected according to the physical computing node parameters, the parameter obtaining way is simple, and efficiency is high.
Finally, it should be noted that: in the description of the present invention, it should be noted that the terms "vertical", "upper", "lower", "horizontal", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should also be noted that, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. The utility model provides a high performance calculates and HPC cloud computing system, includes cloud computing center, its characterized in that, inside data encryption module, data storage module, data transmission module and the data receiving module of being provided with of cloud computing center, data encryption module data storage module data transmission module and data receiving module can carry out independent operation to data, cloud computing center's transmission end is provided with the service base station, the sharing end of service base station is provided with mobile client, the inside cloud computing data of cloud computing center passes through the service base station with mobile client carries out the data sharing.
2. The high performance computing and HPC cloud computing system of claim 1, wherein the cloud computing center comprises an HPC cloud computing system, compute node processing units, and virtual server resource allocation units, the HPC cloud computing system, the compute node processing units, and the virtual server resource allocation units running in sequence.
3. The high-performance computing and HPC cloud computing system of claim 2, wherein said HPC cloud computing system has a physical server node list disposed therein, said physical server node list comprising a plurality of physical server computing nodes for data analysis and computation.
4. The high-performance computing and HPC cloud computing system of claim 2, wherein said compute node processing units have two parts, a physical compute point selection and a plurality of virtual compute nodes selection, running sequentially.
5. The high-performance computing and HPC cloud computing system of claim 4, wherein said virtual server resource allocation unit has a plurality of virtual servers for processing data, and said plurality of virtual servers are respectively matched with a selection of said plurality of virtual computing nodes.
6. A resource management technical method for a high performance computing and HPC cloud computing system is characterized by comprising the following steps:
s1, acquiring physical computing node parameters, namely acquiring the physical computing node parameters of the physical computing nodes from a node list of the HPC cloud computing system;
s2, selecting parameters of the physical computing nodes, and selecting the physical computing nodes meeting the resource demand parameters according to the parameters of the physical computing nodes;
s3, acquiring virtual computing node parameters, and acquiring virtual computing node parameters of virtual computing nodes in the selected physical computing nodes from the computing node list;
s4, selecting virtual computing node parameters, and selecting virtual computing nodes meeting the resource demand parameters according to the virtual computing node parameters;
and S5, matching the corresponding virtual server, and managing the resources by matching the corresponding virtual server with the virtual computing node parameters.
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