CN112416517A - Virtual computing organization control management system and method - Google Patents
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Abstract
The embodiment of the invention discloses a virtualized computing organization control management system and a method thereof, wherein the virtualized computing organization control management system comprises the following steps: the data center module is used for binding a plurality of hosts so that the elastic cloud server can select an operation host or an operation host group; the host management module is used for selecting the host on the available host group according to the selected flavour template when the user creates the virtual machine; the scheduling module is used for automatically selecting a more appropriate host according to the resource conditions of the data center pool, the host group or the host when a user creates the elastic cloud server or needs to select the host; the data processing module is used for managing the related data of each host; and the local storage module is used for creating the volume by the user according to the required elastic cloud server and independently carrying out hanging and unloading operations on the volume. The related services of the elastic cloud server are managed according to the requirements of the user on the virtual machine and the dynamic change of the resources of each running host, so that the management efficiency is improved, and the error rate of manually configured migration data is reduced.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a virtualized computing organization control management system and a virtualized computing organization control management method.
Background
The virtualization breaks through the boundary of time and space, is the most remarkable characteristic of cloud computing, and comprises two application virtualization and resource virtualization. As is known, the physical platform is not spatially connected with the environment of application deployment, and it is through the virtual platform that data backup, migration, expansion, and the like are completed for the corresponding terminal operation. The cloud computing power is added on the basis of the original server, so that the computing speed can be rapidly improved, and finally, the purpose of dynamically expanding the virtualized layer is achieved to expand the application.
In the existing virtualization technology, when a single-point server fails, applications distributed on different physical servers can be recovered or a new server is deployed by using a dynamic expansion function for calculation, but mostly data inheritance is realized by adopting a mode of manually configuring and migrating data. And the manual intervention mode is adopted, so that under the condition that a large number of virtual hosts exist in the virtual platform, the migration efficiency of the virtual hosts is low, bandwidth resources are occupied in a large amount, and the phenomena of message congestion and the like occur in the virtual platform, so that the operation of the virtual platform is seriously influenced.
Disclosure of Invention
Because the existing method has the above problems, embodiments of the present invention provide a virtualized computing organization control management system and method.
The embodiment of the invention provides a virtualized computing organization control management system, which comprises:
the browser template management module is used for defining the computing and storing modes and the storing capacity of the created elastic cloud server;
the data center module is used for binding a plurality of hosts so that the elastic cloud server can select an operation host or an operation host group;
the host management module is used for selecting the host on the available host group according to the selected flavour template when the user creates the virtual machine;
the elastic cloud server module is used for creating an elastic cloud server which needs to be stored and needs to be customized according to mirror image conditions by a user, and executing startup and shutdown and capacity expansion operations on the created elastic cloud server;
the scheduling module is used for automatically selecting a more appropriate host according to the resource conditions of the data center pool, the host group or the host when a user creates the elastic cloud server or needs to select the host;
the data processing module is used for managing the related data of each host;
and the local storage module is used for creating the volume by the user according to the required elastic cloud server and independently carrying out hanging and unloading operations on the volume.
Further, the elastic cloud server module is specifically configured to:
and selecting a proper operation host or an operation host group from the plurality of hosts bound with the data center module according to the physical resource requirement and the virtualization resource requirement of the elastic cloud server and the residual physical resource condition and the residual virtualization resource condition of each operation host.
Further, the scheduling module is specifically configured to:
and migrating different hosts or host groups for the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resources corresponding to the hosts in the data center module.
Further, the scheduling module is specifically configured to, when migrating different hosts or host groups to the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resource corresponding to each host in the data center module, perform:
if the running speed of the running host or the running host group selected by the elastic cloud server module is lower than a preset running speed threshold and the resource occupancy rate of the running host or the running host group selected by the elastic cloud server module is greater than a preset resource occupancy rate threshold, judging whether resources corresponding to each host in the data center module are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
Further, the data processing module is specifically configured to:
and after the elastic cloud server carries out host migration, migrating the usb mount of the elastic cloud server to a corresponding host or a corresponding host group so as to realize virtual cross-host usb mount.
Further, still include:
and the data inheritance module is used for realizing a re-downloading function on the mirror image of the elastic cloud server after the elastic cloud server carries out host migration so as to realize that a user creates a virtual machine again on the basis of the mirror image data of the original elastic cloud server and further realize data inheritance.
Further, the host management module is specifically configured to:
the hosts with the same attribute are integrated together, and a user can directly manage each host and directly check the use information of each host.
In a second aspect, an embodiment of the present invention further provides a virtualized computing organization control management method, including:
and selecting a proper operation host or operation host group from the data center module according to the resource conditions of the data center pool, the host group or the host, wherein the data center module is bound with a plurality of hosts so that the elastic cloud server can select the operation host or the operation host group.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the virtualized computing organization control management method according to the second aspect when executing the computer program.
In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the virtualized computing organization control management method according to the second aspect.
According to the technical scheme, the virtualized computing organization control management system and the virtualized computing organization control management method provided by the embodiment of the invention have the advantages that the hosts with the same attribute are integrated, so that a user can directly manage each host and directly check the use information of each host. The related services of the elastic cloud server are managed according to the requirements of the user on the virtual machine and the dynamic change of the resources of each running host, so that the management efficiency is improved, and the error rate of manually configured migration data is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a diagram of a virtualized computing organization control management system according to an embodiment of the invention;
FIG. 2 is a schematic diagram of another virtualized computing organization control and management system provided in accordance with an embodiment of the invention;
FIG. 3 is a flowchart of a virtualized computing organization control and management method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 is a schematic diagram illustrating a virtualized computing organization control management system according to an embodiment of the present invention, and fig. 2 is a schematic diagram illustrating another virtualized computing organization control management system according to an embodiment of the present invention. The virtualized computing organization control management system provided by the embodiment of the present invention is explained and explained in detail with reference to fig. 1 and fig. 2.
As shown in fig. 1, an embodiment of the present invention provides a virtualized computing organization control management system, including:
the browser template management module 1 is used for defining the computing and storing modes and the storing capacity of the created elastic cloud server;
the data center module 2 is used for binding a plurality of hosts so that the elastic cloud server can select an operating host or an operating host group;
the host management module 3 is used for selecting a host on an available host group according to the selected flavour template when a user creates a virtual machine;
the elastic cloud server module 4 is used for creating an elastic cloud server which needs to be stored and needs to be customized according to mirror image conditions by a user, and executing startup and shutdown and capacity expansion operations on the created elastic cloud server;
the scheduling module 5 is used for automatically selecting a more appropriate host according to the resource conditions of the data center pool, the host group or the host when a user creates the elastic cloud server or needs to select the host;
the data processing module 6 is used for managing the relevant data of each host;
and the local storage module 7 is used for creating the volume by the user according to the required elastic cloud server and independently carrying out hanging and unloading operations on the volume.
In this embodiment, it should be noted that the flavour template management module 1 is used to define the computing, storage manner, storage capability, and the like of the created elastic cloud server, and is hardware information that can be directly obtained by one elastic cloud server. The data center module 2 can bind a plurality of hosts to allow the elastic cloud server to select the running host or the running host group, that is, select the host on which the elastic cloud server can run in advance, and also can perform related management and operation on the hosts, and each center is isolated from each other and does not affect each other. The host management module 3 is equivalent to a set of nodes having common attributes. When a user creates a virtual machine, the host on the available host group is automatically selected by using the corresponding scheduling rule according to the selected Flavor module. The elastic cloud server module 4 is a key management module for implementing virtualization, and is associated with storage, mirroring, consoles, and other large modules. The user can create an elastic cloud server which needs storage and conditions such as required mirror images and the like are customized, and the created elastic cloud server is started, shut down and expanded. The scheduling module 5 can be used for the operation of selecting a host when a user creates the elastic cloud server or needs to select the host, and the Scheduler automatically selects a more appropriate host according to the conditions of the data center pool, the host group, the host resource and the like. The data processing module 6 is mainly used for computing node related data management, is connected with each big module, and processes the elastic cloud server according to the related conditions of each operation. For example: and after the elastic cloud server carries out host migration, migrating the usb mount of the elastic cloud server to a corresponding host or a corresponding host group so as to realize virtual cross-host usb mount. And a local storage module 7, wherein the storage is stored locally in the kvm node. The user can create the volume according to the needed elastic cloud server, and can also independently carry out operations such as hanging and unloading on the volume.
The elastic cloud server module 4 may be further configured to select a suitable operation host or an operation host group from the data center module 2 according to a preset rule, perform related management and operation on the elastic cloud server, and maintain a related state of the elastic cloud server, and a user may predefine related information for the elastic cloud server to use. Specifically, the elastic cloud server module 4 selects a suitable operating host or operating host group from the plurality of hosts bound to the data center module 2 according to the physical resource demand and the virtualized resource demand of the elastic cloud server and the remaining physical resource situation and the remaining virtualized resource situation of each operating host. It should be noted that, if the elastic cloud server selects multiple hosts to be migrated, the problem of resource allocation needs to be considered, so as to avoid multiple hosts competing for the same resource at the same time. Meanwhile, the workload of the elastic cloud server has different physical resource requirements and virtualization resource requirements at different time intervals, and needs to be reasonably configured, so that the embodiment of the invention migrates the related services of the server according to the requirements of the server and the dynamic change of the resources of each running host, thereby not only avoiding resource competition of a plurality of hosts, but also realizing automatic selection of the host selected by the elastic cloud server. Further, the scheduling module 5 is configured to migrate different hosts or host groups to the elastic cloud server according to dynamic changes of resources corresponding to the hosts in the data center module 2. Specifically, the scheduling module 5 migrates different hosts or host groups to the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module 4 and the dynamic change of the resources corresponding to the hosts in the data center module 2. If the operation speed of the operation host or the operation host group selected by the elastic cloud server module 4 is lower than a preset operation speed threshold and the resource occupancy rate of the operation host or the operation host group selected by the elastic cloud server module 4 is greater than a preset resource occupancy rate threshold, judging whether the resources corresponding to each host in the data center module 2 are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module 2 according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
In this embodiment, it should be noted that, according to the flexible cloud server module 4, whether the resources corresponding to each host in the data center module 2 dynamically change or not may also be determined according to the operating speed and the resource occupancy rate of the selected operating host or the operating host group, the available score of each host is further determined, and the host with the highest rank is selected as the host to be migrated. According to the embodiment of the invention, the value calculation is carried out through the running speed and the resource occupancy rate of the host, and the performance ranking of each host is obtained, so that the best host to be migrated which is most suitable for data inheritance can be obtained.
In this embodiment, the data processing module 6 may be further configured to migrate the service related to the elastic cloud server to the corresponding host or the host group after the host migration is performed by the elastic cloud server. Specifically, after the elastic cloud server performs host migration, the usb mount of the elastic cloud server is migrated to the corresponding host or host group, so as to implement virtual cross-host usb mount. Therefore, after the elastic cloud server performs host migration, virtual cross-host mounting can be further achieved, namely after the elastic cloud server is migrated to a different host, the usb mounted on the original host can still be used, and the elastic cloud server is not affected by the migration.
In this embodiment, it can be understood that hosts with the same characteristics can be grouped together so that the elastic cloud server picks the host that is most suitable for migration.
According to the technical scheme, the virtualized computing organization control management system provided by the embodiment of the invention selects the proper running host or running host group through the elastic cloud server according to the preset rule, migrates according to the dynamic change of the resources corresponding to the hosts, migrates the relevant services of the elastic cloud server to the corresponding hosts or host groups after the elastic cloud server performs host migration, and thus, the automatic selection of the elastic cloud server selection host is realized. Meanwhile, according to the embodiment of the invention, the related services of the server are migrated according to the requirements of the server and the dynamic change of the resources of each running host, so that the optimal host suitable for data inheritance can be selected, the migration efficiency is further improved, and the error rate of manually configured migration data is reduced.
Based on the content of the foregoing embodiment, in this embodiment, the elastic cloud server module is specifically configured to:
and selecting a proper operation host or an operation host group from the plurality of hosts bound with the data center module according to the physical resource requirement and the virtualization resource requirement of the elastic cloud server and the residual physical resource condition and the residual virtualization resource condition of each operation host.
In this embodiment, it should be noted that the elastic cloud server module 4 is configured to select an appropriate running host or running host group from the data center module 2 according to a preset rule. Specifically, the elastic cloud server module 4 selects a suitable operating host or operating host group from the plurality of hosts bound to the data center module 2 according to the physical resource demand and the virtualized resource demand of the elastic cloud server and the remaining physical resource situation and the remaining virtualized resource situation of each operating host. It should be noted that, if the elastic cloud server selects multiple hosts to be migrated, the problem of resource allocation needs to be considered, so as to avoid multiple hosts competing for the same resource at the same time. Meanwhile, the workload of the elastic cloud server has different physical resource requirements and virtualization resource requirements at different time intervals, and needs to be reasonably configured, so that the embodiment of the invention migrates the related services of the server according to the requirements of the server and the dynamic change of the resources of each running host, thereby not only avoiding resource competition of a plurality of hosts, but also realizing automatic selection of the host selected by the elastic cloud server.
Based on the content of the foregoing embodiment, in this embodiment, the scheduling module is specifically configured to:
and migrating different hosts or host groups for the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resources corresponding to the hosts in the data center module.
In this embodiment, it should be noted that the scheduling module 5 is configured to migrate different hosts or host groups for the elastic cloud server according to dynamic changes of resources corresponding to the hosts in the data center module 2. Specifically, the scheduling module 5 migrates different hosts or host groups to the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module 4 and the dynamic change of the resources corresponding to the hosts in the data center module 2.
Based on the content of the foregoing embodiment, in this embodiment, when migrating different hosts or host groups for the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resource corresponding to each host in the data center module, the scheduling module is specifically configured to:
if the running speed of the running host or the running host group selected by the elastic cloud server module is lower than a preset running speed threshold and the resource occupancy rate of the running host or the running host group selected by the elastic cloud server module is greater than a preset resource occupancy rate threshold, judging whether resources corresponding to each host in the data center module are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
In this embodiment, the scheduling module 5 is configured to migrate different hosts or host groups for the elastic cloud server according to dynamic changes of resources corresponding to the hosts in the data center module 2. Specifically, the scheduling module 5 migrates different hosts or host groups to the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module 4 and the dynamic change of the resources corresponding to the hosts in the data center module 2. If the operation speed of the operation host or the operation host group selected by the elastic cloud server module 4 is lower than a preset operation speed threshold and the resource occupancy rate of the operation host or the operation host group selected by the elastic cloud server module 4 is greater than a preset resource occupancy rate threshold, judging whether the resources corresponding to each host in the data center module 2 are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module 2 according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the content of the first and second substances,the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
In this embodiment, it should be noted that, according to the operation speed and the resource occupancy rate of the operation host or the operation host group selected by the elastic cloud server module 4, whether the resource corresponding to each host in the center module 2 is dynamically changed is determined, the available score of each host is further determined, and the host with the top rank is selected as the host to be migrated. According to the embodiment of the invention, the value calculation is carried out through the running speed and the resource occupancy rate of the host, and the performance ranking of each host is obtained, so that the best host to be migrated which is most suitable for data inheritance can be obtained.
Based on the content of the foregoing embodiment, in this embodiment, the processing module is specifically configured to:
and after the elastic cloud server carries out host migration, migrating the usb mount of the elastic cloud server to a corresponding host or a corresponding host group so as to realize virtual cross-host usb mount.
In this embodiment, it should be noted that the processing module 6 is configured to migrate the service related to the elastic cloud server to the corresponding host or the host group after the host migration is performed by the elastic cloud server. Specifically, after the elastic cloud server performs host migration, the usb mount of the elastic cloud server is migrated to the corresponding host or host group, so as to implement virtual cross-host usb mount. Therefore, after the elastic cloud server performs host migration, virtual cross-host mounting can be further achieved, namely after the elastic cloud server is migrated to a different host, the usb mounted on the original host can still be used, and the elastic cloud server is not affected by the migration.
Based on the content of the foregoing embodiment, in this embodiment, the method further includes:
and the data inheritance module is used for realizing a re-downloading function on the mirror image of the elastic cloud server after the elastic cloud server carries out host migration so as to realize that a user creates a virtual machine again on the basis of the mirror image data of the original elastic cloud server and further realize data inheritance.
In this embodiment, it should be noted that, after the elastic cloud server performs host migration, the data inheritance module can implement a re-download function on the image of the elastic cloud server, so that a user can create a virtual machine again on the basis of the image data of the original elastic cloud server, and inherit the data. Specifically, a target image file can be determined according to a preset migration rule and an initial image file, the target image file and related configuration data are loaded in the process of creating the virtual machine, and the related port is converted, so that the user can create the virtual machine again on the basis of the original elastic cloud server image data, and the data inheritance is realized.
Based on the content of the foregoing embodiment, in this embodiment, the host management module is specifically configured to:
the hosts with the same attribute are integrated together, and a user can directly manage each host and directly check the use information of each host.
In this embodiment, the host management module may implement a virtualized service node, so that a user may manage each virtualized node more conveniently, and the user may also directly view the usage information of each node.
Based on the same inventive concept, another embodiment of the present invention provides a virtualized computing organization control management method, and referring to fig. 3, a flowchart of the virtualized computing organization control management method according to an embodiment of the present invention is provided. As shown in fig. 3, a virtualized computing organization control management method provided in an embodiment of the present invention specifically includes the following contents:
step 101: and selecting a proper operation host or operation host group from the data center module according to the resource conditions of the data center pool, the host group or the host, wherein the data center module is bound with a plurality of hosts so that the elastic cloud server can select the operation host or the operation host group.
In this step, the data center module may bind a plurality of hosts, so that the elastic cloud server selects an operating host or an operating host group, that is, which part of hosts the elastic cloud server may operate on is selected in advance. Optionally, the flexible cloud server module may select a suitable running host or a suitable running host group from the data center module according to a preset rule. Specifically, the elastic cloud server module selects a proper operating host or an operating host group from a plurality of hosts bound with the data center module according to the physical resource requirement and the virtualized resource requirement of the elastic cloud server and the remaining physical resource condition and the remaining virtualized resource condition of each operating host. It should be noted that, if the elastic cloud server selects multiple hosts to be migrated, the problem of resource allocation needs to be considered, so as to avoid multiple hosts competing for the same resource at the same time. Meanwhile, the workload of the elastic cloud server has different physical resource requirements and virtualization resource requirements at different time intervals, and needs to be reasonably configured, so that the embodiment of the invention migrates the related services of the server according to the requirements of the server and the dynamic change of the resources of each running host, thereby not only avoiding resource competition of a plurality of hosts, but also realizing automatic selection of the host selected by the elastic cloud server. Further, the scheduling module is configured to migrate different hosts or host groups to the elastic cloud server according to dynamic changes of resources corresponding to the hosts in the data center module. Specifically, the scheduling module migrates different hosts or host groups to the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resources corresponding to the hosts in the data center module. If the operation speed of the operation host or the operation host group selected by the elastic cloud server module is lower than a preset operation speed threshold and the resource occupancy rate of the operation host or the operation host group selected by the elastic cloud server module is greater than a preset resource occupancy rate threshold, judging whether the resources corresponding to each host in the data center module are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
In this step, it should be noted that, according to the operating speed and the resource occupancy rate of the operating host or the operating host group selected by the elastic cloud server module, whether the resource corresponding to each host in the central module dynamically changes is determined, the available score of each host is further determined, and the host with the top rank is selected as the host to be migrated. According to the embodiment of the invention, the value calculation is carried out through the running speed and the resource occupancy rate of the host, and the performance ranking of each host is obtained, so that the best host to be migrated which is most suitable for data inheritance can be obtained.
In this step, the processing module may be further configured to migrate, after the elastic cloud server performs host migration, the service related to the elastic cloud server to the corresponding host or the host group. Specifically, after the elastic cloud server performs host migration, the usb mount of the elastic cloud server is migrated to the corresponding host or host group, so as to implement virtual cross-host usb mount. Therefore, after the elastic cloud server performs host migration, virtual cross-host mounting can be further achieved, namely after the elastic cloud server is migrated to a different host, the usb mounted on the original host can still be used, and the elastic cloud server is not affected by the migration.
According to the technical scheme, the virtual computing organization control management method provided by the embodiment of the invention selects the proper running host or running host group through the elastic cloud server according to the preset rule, migrates according to the dynamic change of the resources corresponding to the hosts, migrates the relevant services of the elastic cloud server to the corresponding hosts or host groups after the elastic cloud server migrates the hosts, and thus realizes automatic selection of the elastic cloud server selection hosts. Meanwhile, according to the embodiment of the invention, the related services of the elastic cloud server are managed according to the requirements of the user on the virtual machine and the dynamic change of the resources of each running host, so that the management efficiency is improved, and the error rate of manually configured migration data is reduced.
The virtualized computing organization control management method described in this embodiment may be used to implement the above method embodiments, and the principle and technical effect are similar, and are not described herein again.
Based on the same inventive concept, another embodiment of the present invention provides an electronic device, which refers to the schematic structural diagram of the electronic device shown in fig. 4, and specifically includes the following contents: a processor 401, a memory 402, a communication interface 403, and a communication bus 404;
the processor 401, the memory 402 and the communication interface 403 complete mutual communication through the communication bus 404; the communication interface 403 is used for implementing information transmission between the devices;
the processor 401 is configured to call a computer program in the memory 402, and the processor implements a process of the virtualized computing organization control management system when executing the computer program, for example, the processor implements the following processes when executing the computer program: and selecting a proper operation host or operation host group from the data center module according to the resource conditions of the data center pool, the host group or the host, wherein the data center module is bound with a plurality of hosts so that the elastic cloud server can select the operation host or the operation host group.
Based on the same inventive concept, a further embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements a process of the virtualized computing organization control management system, for example, the processor implements the following processes when executing the computer program: and selecting a proper operation host or operation host group from the data center module according to the resource conditions of the data center pool, the host group or the host, wherein the data center module is bound with a plurality of hosts so that the elastic cloud server can select the operation host or the operation host group.
In addition, the logic instructions in the memory may be implemented in the form of software functional units and may be stored in a computer readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on such understanding, the above technical solutions may be essentially or partially implemented in the form of software products, which may be stored in computer readable storage media, such as ROM/RAM, magnetic disk, optical disk, etc., and include several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the virtualized computing organization control and management system according to various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A virtualized computing organization control management system, comprising:
the browser template management module is used for defining the computing and storing modes and the storing capacity of the created elastic cloud server;
the data center module is used for binding a plurality of hosts so that the elastic cloud server can select an operation host or an operation host group;
the host management module is used for selecting the host on the available host group according to the selected flavour template when the user creates the virtual machine;
the elastic cloud server module is used for creating an elastic cloud server which needs to be stored and needs to be customized according to mirror image conditions by a user, and executing startup and shutdown and capacity expansion operations on the created elastic cloud server;
the scheduling module is used for automatically selecting a more appropriate host according to the resource conditions of the data center pool, the host group or the host when a user creates the elastic cloud server or needs to select the host;
the data processing module is used for managing the related data of each host;
and the local storage module is used for creating the volume by the user according to the required elastic cloud server and independently carrying out hanging and unloading operations on the volume.
2. The virtualized computing organization control management system according to claim 1, wherein the elastic cloud server module is specifically configured to:
and selecting a proper operation host or an operation host group from the plurality of hosts bound with the data center module according to the physical resource requirement and the virtualization resource requirement of the elastic cloud server and the residual physical resource condition and the residual virtualization resource condition of each operation host.
3. The virtualized computing organization control and management system of claim 1, wherein the scheduling module is specifically configured to:
and migrating different hosts or host groups for the elastic cloud server according to the running condition and the resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resources corresponding to the hosts in the data center module.
4. The virtualized computing organization control and management system according to claim 3, wherein the scheduling module, when migrating different hosts or host groups for the elastic cloud server according to the running condition and resource occupation condition of the running host or the running host group selected by the elastic cloud server module and the dynamic change of the resources corresponding to the hosts in the data center module, is specifically configured to:
if the running speed of the running host or the running host group selected by the elastic cloud server module is lower than a preset running speed threshold and the resource occupancy rate of the running host or the running host group selected by the elastic cloud server module is greater than a preset resource occupancy rate threshold, judging whether resources corresponding to each host in the data center module are dynamically changed, if so, determining the available score of each host according to a first relation model, performing performance sorting on each host in the data center module according to the available scores, and selecting a migration host or a host group for the elastic cloud server from N hosts in front of the sorting;
wherein the first relationship model is: m ═ α G + (1- α) G2+β+εR+(1-ε)R2+ gamma)/K; wherein M represents the available score of the host, G represents the condition of the remaining physical resources of the host, R represents the condition of the remaining virtualized resources of the host, and alpha represents a first adjustment coefficient; epsilon represents a second adjustment coefficient, beta represents a first compensation factor, gamma represents a second compensation factor, and K represents a normalized reference value;
wherein, the value of N satisfies the second relation model and the value of N is minimum, wherein, the second relation model is: m1+M2+…+MNAnd T is more than or equal to T, and T is a preset score threshold value determined according to the resource requirement of the elastic cloud server.
5. The virtualized computing organization control and management system of claim 1, wherein the data processing module is specifically configured to:
and after the elastic cloud server carries out host migration, migrating the usb mount of the elastic cloud server to a corresponding host or a corresponding host group so as to realize virtual cross-host usb mount.
6. The virtualized computing organization control management system according to claim 1, further comprising:
and the data inheritance module is used for realizing a re-downloading function on the mirror image of the elastic cloud server after the elastic cloud server carries out host migration so as to realize that a user creates a virtual machine again on the basis of the mirror image data of the original elastic cloud server and further realize data inheritance.
7. The virtualized computing organization control management system according to claim 1, wherein the host management module is specifically configured to:
the hosts with the same attribute are integrated together, and a user can directly manage each host and directly check the use information of each host.
8. A virtualized computing organization control management method, comprising:
and selecting a proper operation host or operation host group from the data center module according to the resource conditions of the data center pool, the host group or the host, wherein the data center module is bound with a plurality of hosts so that the elastic cloud server can select the operation host or the operation host group.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the virtualized computing organization control management method according to claim 8 are implemented when the processor executes the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the virtualized computing organization control and management method according to claim 8.
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