CN115883310A - Service deployment method, service deployment system, electronic device, and storage medium - Google Patents
Service deployment method, service deployment system, electronic device, and storage medium Download PDFInfo
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- CN115883310A CN115883310A CN202111136324.4A CN202111136324A CN115883310A CN 115883310 A CN115883310 A CN 115883310A CN 202111136324 A CN202111136324 A CN 202111136324A CN 115883310 A CN115883310 A CN 115883310A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
- H04L41/5051—Service on demand, e.g. definition and deployment of services in real time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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Abstract
The embodiment of the application discloses a service deployment method, a service deployment system, electronic equipment and a storage medium, wherein the service deployment method comprises the following steps: acquiring a service deployment type and a service deployment condition; determining a plurality of candidate cloud platform service types according to the service deployment type; wherein the candidate cloud platform service type comprises candidate resource information; and determining the candidate cloud platform service type of which the candidate resource information meets the service deployment condition as a target cloud platform service type from the candidate cloud platform service types. According to the method and the device, the service to be deployed can be rapidly deployed, the risk of manual evaluation errors is avoided, and the service online process is accelerated to a certain extent.
Description
Technical Field
The invention relates to the technical field of cloud platform service deployment, in particular to a service deployment method, a service deployment system, electronic equipment and a storage medium.
Background
At present, in order to meet customized and differentiated service requirements of users, operators can simultaneously provide multiple cloud platform service types such as IAAS (infrastructure as a service) and PAAS (platform as a service) on a cloud platform.
In the related technology, according to the service deployment requirement, a user evaluates and screens multiple cloud platform service types in a manual evaluation mode to select a target cloud platform service type. However, the above method not only needs a long evaluation implementation period, but also is prone to evaluation errors during the evaluation process, thereby affecting the service online process.
Disclosure of Invention
The embodiment of the application provides a service deployment method, a service deployment system, an electronic device and a storage medium, which can realize rapid deployment of a service to be deployed, avoid the risk of manual evaluation errors and further accelerate the service online process to a certain extent.
In a first aspect, an embodiment of the present application provides a service deployment method, including:
acquiring a service deployment type and a service deployment condition;
determining a plurality of candidate cloud platform service types according to the service deployment type; wherein the candidate cloud platform service type comprises candidate resource information;
and determining the candidate cloud platform service type of which the candidate resource information meets the service deployment condition as a target cloud platform service type from the candidate cloud platform service types.
In a second aspect, an embodiment of the present application further provides a service deployment system, including:
the acquisition module is used for acquiring the service deployment type and the service deployment condition;
the service deployment module is used for determining a plurality of candidate cloud platform service types according to the service deployment types; wherein the candidate cloud platform service type comprises candidate resource information; and the candidate cloud platform service type with the candidate resource information meeting the service deployment condition is determined as a target cloud platform service type from the candidate cloud platform service types.
In a third aspect, an embodiment of the present application further provides an electronic device, including:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the service deployment method of the first aspect.
In a fourth aspect, the present application further provides a computer-readable storage medium, in which processor-executable instructions are stored, where the processor-executable instructions, when executed by a processor, are configured to implement the service deployment method according to the second aspect.
According to the service deployment method, the service deployment system, the electronic device and the storage medium, the target cloud platform service type matched with the service to be deployed is screened out from the multiple cloud platform service types to be determined provided by the cloud platform according to the service deployment type and the service deployment condition, and therefore the service to be deployed can be deployed according to the target cloud platform service type. Therefore, according to the embodiment, the rapid deployment of the service to be deployed can be realized, the risk of manual evaluation errors is avoided, and the service online process is accelerated to a certain extent.
Drawings
Fig. 1 is a schematic flow chart of a service deployment method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of a service deployment method according to another embodiment of the present application;
FIG. 3 is a schematic flow chart diagram illustrating a service deployment method according to another embodiment of the present application;
FIG. 4 is a schematic flow chart diagram illustrating a service deployment method according to another embodiment of the present application;
FIG. 5 is a schematic structural diagram of a service deployment system provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of a workflow of a service deployment system according to an embodiment of the present application;
FIG. 7 is a schematic illustration of a workflow provided by another embodiment of the present application;
fig. 8 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application. In the present application, the embodiments and features of the embodiments may be arbitrarily combined with each other without conflict.
It should be noted that although functional blocks are partitioned in a schematic diagram of an apparatus and a logical order is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the partitioning of blocks in the apparatus or the order in the flowchart. The terms first, second and the like in the description and in the claims, as well as in the drawings described above, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Before further detailed description of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be explained as follows.
The cloud platform, also called as a cloud computing management system, is a multi-level and all-around cloud computing management system formed by constructing IAAS (infrastructure as a service), PAAS (platform as a service) and SAAS (software as a service) to realize one-stop service of a full service period.
Among them, IAAS (infrastructure as a service) means that a user can obtain a service from a perfect computer infrastructure through a network; the PAAS (platform as a service) refers to that a platform developed by software is used as a service and submitted to a user in a SAAS mode; SAAS (software as a service) refers to a mode of providing software through a network, and a user can rent Web-based software to a provider to manage business activities of a cloud enterprise without purchasing the software.
NFV (network function virtualization), is a network architecture concept that uses virtualization technology to virtualize the entire class of network node functions into building communication services that can be connected or linked together.
In the related art, in order to implement service deployment operation of a service to be deployed, on one hand, service deployment requirements of the service to be deployed need to be considered, and on the other hand, capabilities, resource use conditions and the like of different cloud platform service types on a cloud platform need to be evaluated, so that an optimal cloud platform service type adapted to the service to be deployed is obtained. For example, a region needs to complete the service deployment of a third party vendor, and the following is usually confirmed manually:
1. the operation and maintenance mode of service deployment and the adaptation condition of a related platform;
2. infrastructure requirements of the service to be deployed, and support capabilities of the relevant platforms;
3. and whether the existing residual resource condition of the relevant platform can support the service deployment operation of the service to be deployed, and whether manual capacity expansion or other processing is required.
After obtaining the information, the operation and maintenance personnel calculate and evaluate the information by combining factors such as overall planning and utilization rate of service deployment, and finally determine a service deployment platform and a service deployment mode (namely determine the service type of the cloud platform). However, the above-mentioned evaluation process needs a long evaluation period, and human evaluation errors are easily generated in the evaluation process, thereby affecting the service online process.
Based on this, the embodiment of the application provides a service deployment method, a service deployment system, an electronic device and a storage medium, which can calculate the cloud platform service type adapted to the service to be deployed according to the service deployment type, the service deployment condition and the resource condition of multiple cloud platform service types provided by the cloud platform, thereby avoiding the risk of errors of manual evaluation and further accelerating the service online process to a certain extent.
Referring to fig. 1, an embodiment of the present application provides a service deployment method, where the service deployment method includes:
s110, acquiring a service deployment type and a service deployment condition;
s120, determining a plurality of candidate cloud platform service types according to the service deployment types;
s130, determining the candidate cloud platform service type with the candidate resource information meeting the service deployment condition as the target cloud platform service type from the candidate cloud platform service types.
The method comprises the steps of obtaining a service deployment demand model imported by a user through interface design or through a port and other communication transmission modes, triggering a service deployment strategy generation step according to the service deployment demand model, obtaining a cloud platform service type matched with the service deployment demand model according to the service deployment strategy generation step, and carrying out service deployment operation on the matched cloud platform service type according to the service deployment demand model. Therefore, the cloud platform service type adaptation process of the service to be deployed at one time and the service deployment operation when the service is on line are completed.
In some embodiments, the service deployment policy generating step comprises: and analyzing the service deployment requirement model to obtain the service deployment type and the service deployment condition. The service deployment type represents a cloud platform service type supported by the service to be deployed; the service deployment condition represents a screening condition correspondingly generated according to the service deployment requirement of the service to be deployed. And screening the service types of the cloud platform to be determined provided by the cloud platform according to the service deployment type to obtain a plurality of candidate cloud platform service types. Wherein the candidate cloud platform service type comprises candidate resource information. And screening candidate resource information corresponding to the multiple candidate types according to the service deployment condition to obtain a candidate cloud platform service type meeting the service deployment condition, and calibrating the screened candidate cloud platform service type as a target cloud platform service type, so that service deployment operation can be performed on the service to be deployed according to the target cloud platform service type.
In the embodiment of the application, a target cloud platform service type matched with the service to be deployed is screened out from a plurality of to-be-determined cloud platform service types provided by the cloud platform according to the service deployment type and the service deployment condition, so that the service to be deployed can be deployed according to the target cloud platform service type. Therefore, the embodiment of the application can realize rapid deployment of the service to be deployed, avoid the risk of manual evaluation errors and further accelerate the service online process to a certain extent.
Referring to fig. 2, in some embodiments, step S110 includes the sub-steps of:
s210, obtaining a plurality of to-be-determined cloud platform service types;
s220, matching the service deployment type with a plurality of to-be-determined cloud platform service types, and determining a plurality of candidate cloud platform service types matched with the service deployment type in the plurality of to-be-determined cloud platform service types.
And analyzing the service deployment requirement model to obtain the service deployment type, namely analyzing to obtain the cloud platform service type supported by the service to be deployed. The method comprises the steps of obtaining a plurality of to-be-determined cloud platform service types accessed into a platform, screening the plurality of to-be-determined cloud platform service types according to service deployment types to screen out the to-be-determined cloud platform service types matched with the service deployment types, and calibrating the screened to-be-determined cloud platform service types as candidate cloud platform service types. It is to be understood that "match" in this embodiment means that the service provided by the screened candidate cloud platform service type is the same as the service represented by the service deployment type, and/or means that the service range provided by the screened candidate cloud platform service type is larger than the service range represented by the service deployment type.
After the candidate cloud platform service types are screened out according to the embodiment, performance screening is further performed according to the service deployment requirement of the service to be deployed, so that the candidate cloud platform service types meeting the service deployment requirement, such as infrastructure, existing residual resources and the like, are screened out from the candidate cloud platform service types, the screened candidate cloud platform service types are calibrated as target cloud platform service types, and then the service to be deployed is subjected to service deployment operation according to the target cloud platform service types. The screening of candidate cloud platform service types will be specifically described below with reference to the features of the above embodiments.
In some embodiments, the service deployment condition includes a capacity demand condition, where the capacity demand condition includes that at least one of a virtual machine resource, a port resource, a network bandwidth resource, a disk resource, and a mirror resource is not less than a preset demand resource threshold.
Specifically, step S130 includes the sub-steps of: and determining the candidate cloud platform service type with the candidate resource information meeting the capacity requirement condition as the target cloud platform service type from the candidate cloud platform service types. The service deployment condition represents a screening condition correspondingly generated according to a service deployment requirement of the service to be deployed, that is, the service deployment requirement includes a capacity deployment requirement, and the capacity deployment requirement includes at least one of a virtual machine resource, a port resource, a network bandwidth resource, a disk resource, and a mirror resource. According to the difference of the service types of the candidate cloud platforms, obtaining candidate resource information corresponding to the service deployment requirement, for example: for IAAS (infrastructure as a service), the acquired candidate resource information comprises virtual machine information, port information, network bandwidth information, disk information, mirror image information and the like; for CAAS (communication as a service), the acquired candidate resource information, boackie mirror information, and the like. And respectively carrying out conformity judgment on the candidate resource information of different candidate cloud platform service types and the service deployment condition, screening out the candidate cloud platform service types capable of supporting the deployment requirement of the service capacity to be deployed, and calibrating the screened candidate cloud platform service types as the target cloud platform service types.
Referring to FIG. 3, in other embodiments, the service deployment conditions include operating environment conditions and capacity demand conditions. Step S130 includes the sub-steps of:
s310, determining the candidate cloud platform service type with the candidate resource information meeting the operating environment condition as a calibration cloud platform service type from the candidate cloud platform service types;
and S320, determining the calibration cloud platform service type with the calibration resource information meeting the capacity requirement condition as the target cloud platform service type from the calibration cloud platform service types.
The operating environment condition is that at least one of a service reliability index, a service importance index, a resource sharing grade or a resource isolation index is not lower than a preset operating environment threshold value.
Specifically, the service deployment condition represents a screening condition correspondingly generated according to a service deployment requirement of the service to be deployed, that is, the service deployment requirement includes a running environment deployment requirement and a capacity deployment requirement. The deployment requirement of the running environment comprises at least one of a service reliability index, a service importance index, a resource sharing grade or a resource isolation index; the capacity deployment requirement comprises at least one of virtual machine resources, port resources, network bandwidth resources, disk resources and mirror image resources. And acquiring candidate resource information corresponding to the deployment requirement of the operating environment so as to screen out the service type of the calibrated cloud platform from a plurality of candidate cloud platform service types.
The service reliability index represents an evaluation index generated according to the data jitter condition, the request packet loss condition and the like of the candidate cloud platform service type; the service importance index represents an evaluation index generated according to the level of a server to which the candidate cloud platform service type belongs, the level of a machine room to which the server belongs (including a core machine room, a basic machine room and the like), the section where the server is located (including a core section, a basic section and the like), the maintainability of the server and the like; the resource sharing level represents an evaluation index generated according to sharing attributes (including shareable and unshared) and the like of the candidate cloud platform service type; the resource isolation index represents an evaluation index generated according to exclusivity, physical nodes, container nodes, and the like of the candidate cloud platform service type. The evaluation indexes can comprise a first level, a second level, a third level and the like, and the higher the level is, the more reliable, the more important, the non-shareable and the better the isolation are.
Taking the e-commerce field as an example, the service to be deployed comprises two types of payment service and commodity display service. The core of the payment service is the security of payment and the reliability of payment data, namely, the payment service focuses more on the functions of monitoring, backup, disaster recovery and the like of the service types of the candidate cloud platform. The core of the commodity display service is the stability of commodity display, namely the commodity display service focuses more on the conditions of data jitter, data packet loss and the like of candidate cloud platform service types. Therefore, when the service to be deployed is a payment service, a calibration cloud platform service type with a higher service importance index needs to be screened from a plurality of candidate deployment types, that is, a calibration cloud platform service type with a service importance index greater than or equal to three levels and with other indexes (including a service reliability index, a resource sharing level index and a resource isolation index) less than or equal to three levels or without limitation should be selected. When the service to be deployed is a commodity display service, a calibration cloud platform service type with a higher service reliability index needs to be screened out from a plurality of candidate deployment types, namely a calibration cloud platform service type with a service reliability index greater than or equal to three levels and other indexes (including a service importance index, a resource sharing level index and a resource isolation index) smaller than or equal to three levels or without limitation is selected.
Secondly, for different service deployment requirements, when the service to be deployed needs to monopolize the server, a higher operating environment threshold value is set for the resource sharing level and the resource isolation index of the candidate cloud platform service type, namely, a calibration cloud platform service type with the resource sharing level and the resource isolation index both being greater than or equal to three levels is selected from the candidate cloud platform service types.
It is to be understood that specific contents of the operating environment condition and the capacity requirement condition described in the foregoing embodiment, and specific contents of the listed service reliability index, service importance index, resource sharing level, and resource isolation index are only exemplary, and this is not specifically limited in this embodiment of the application.
According to the description, the calibration cloud platform service type which meets the conditions of service performance, resources, infrastructure and the like to be deployed is screened out from the candidate cloud platform service types. And then, screening out a target cloud platform service type from the plurality of calibration cloud platform service types according to the capacity demand condition, and performing service deployment operation on the service to be deployed according to the target cloud platform service type. It can be understood that the method for screening out the target cloud platform service type from the multiple calibration cloud platform service types according to the capacity demand condition is basically the same as the method for screening out the target cloud platform service type from the multiple candidate deployment types according to the capacity demand condition in the above embodiment, and therefore, details are not repeated in the embodiment of the present application.
Referring to fig. 4, in some embodiments, the service deployment method further comprises the steps of:
s410, determining the number of the service types of the target cloud platform;
and S420, if the number of the target cloud platform service types is larger than a preset threshold value, screening the target cloud platform service types to obtain the operation cloud platform service types.
When the number of the screened target cloud platform service types includes a plurality of types, one target cloud platform service type is screened from the plurality of target cloud platform service types according to a preset policy such as a priority (that is, a preset threshold is set to 1), and the screened target cloud platform service type is marked as an operation cloud platform service type. The service type of the operation cloud platform and the corresponding operation resource information are sent to a user through an interface, a port and the like, so that the pre-operation of service deployment operation is realized, namely only the service type of the cloud platform to be determined, to which the service to be deployed can be deployed in the cloud platform, is judged in advance, and the final service deployment operation is not carried out. .
In some embodiments, the service deployment method further comprises the steps of: and sending an instantiation request comprising the service type of the operation cloud platform to the virtual network function management module, so that the virtual network function management module performs service deployment operation according to the instantiation request.
It should be noted that the service deployment method provided in the embodiment of the present application is a deployment mechanism based on an NFV structure, that is, the deployment mechanism in the embodiment of the present application is established on the basis that an NFVO (lifecycle management unit or lifecycle management module) and a VNFM (virtual network function management module) already have a resource management capability for different cloud platform service types. Therefore, after the pre-operation result (i.e. the back-transmission operation cloud platform service type) is transmitted back to the user according to the above embodiment, the actual service deployment operation can be performed. Sending an instantiation request to the virtual network function management module, where the instantiation request carries the service deployment requirement described in the above embodiment and the screened operation cloud platform service type, so that the virtual network function management module performs service deployment operation on the corresponding operation cloud platform service type on the cloud platform according to the service deployment requirement.
Hereinafter, a combination of the service deployment method and the NFV structure provided in the embodiment of the present application will be specifically described.
Referring to fig. 5, an embodiment of the present application provides a service deployment system. The service deployment system includes an acquisition module 510 and a service deployment module 520. The obtaining module 510 is configured to obtain a service deployment type and a service deployment condition. The service deployment module 520 is configured to determine a plurality of candidate cloud platform service types according to the service deployment type; the candidate cloud platform service type comprises candidate resource information; the service deployment module 520 is further configured to determine, from the candidate cloud platform service types, a candidate cloud platform service type whose candidate resource information meets the service deployment condition as a target cloud platform service type.
Referring to fig. 5 and 6, in some embodiments, the obtaining module 510 obtains a service deployment requirement module imported by a user through an interface design or through a communication transmission manner such as a port, and the service deployment module 520 triggers a service deployment policy generation step according to the service deployment requirement module, so as to obtain a cloud platform service type adapted to the service deployment requirement module according to the service deployment policy generation step, and further perform a service deployment operation on the adapted cloud platform service type according to the service deployment requirement module. Therefore, the cloud platform service type adaptation process of the service to be deployed at one time and the service deployment operation when the service is on line are completed.
The service deployment strategy generating step comprises: the service deployment module 520 parses the service deployment requirement model to obtain the service deployment type and the service deployment condition. The service deployment type represents a cloud platform service type supported by the service to be deployed; the service deployment condition represents a screening condition correspondingly generated according to the service deployment requirement of the service to be deployed. And screening the service types of the cloud platform to be determined provided by the cloud platform according to the service deployment types to obtain a plurality of candidate cloud platform service types. Wherein the candidate cloud platform service type comprises candidate resource information. And screening candidate resource information corresponding to the plurality of candidate types according to the service deployment condition to obtain candidate cloud platform service types meeting the service deployment condition, and calibrating the screened candidate cloud platform service types as target cloud platform service types, so that service deployment operation can be performed on the service to be deployed according to the target cloud platform service types.
In some embodiments, the NFVO may be deployed integrally with the service deployment module (as shown in fig. 6), or the NFVO and the service deployment module may be deployed independently (as shown in fig. 7). Hereinafter, with respect to the two embodiments and in combination with the service deployment method described in the above embodiments, the obtaining module, the service deployment module, and other modules of the service deployment system are specifically described. It is understood that the service deployment module can be integrated with other systems such as OSS (service provider management function) in addition to NFVO.
Referring to fig. 6, in some embodiments, the obtaining module includes a type obtaining unit, a capacity requirement obtaining unit, or includes a type obtaining unit, a capacity requirement obtaining unit, and a running environment obtaining unit. When the NFVO is integrally deployed with the service deployment module, the service deployment module includes a deployment type confirmation unit and a lifecycle management unit (i.e., NFVO). The type obtaining unit is used for obtaining a service deployment type imported or designed by a user, the capacity requirement obtaining unit is used for obtaining a capacity requirement condition imported or designed by the user, and the operating environment obtaining unit is used for obtaining an operating environment condition imported or designed by the user. The deployment confirming unit is used for acquiring a plurality of to-be-determined cloud platform service types of the accessed platform, matching the service deployment type obtained by analyzing the service deployment demand model with the plurality of to-be-determined cloud platform service types, and determining a plurality of candidate cloud platform service types matched with the service deployment type in the plurality of to-be-determined cloud platform service types.
And then, the deployment type confirming unit acquires the candidate resource information and compares the candidate resource information with the capacity demand condition so as to obtain the target cloud platform service type meeting the capacity demand condition from the plurality of candidate cloud platform service types. Or when the acquisition module comprises an operation environment acquisition unit, comparing the candidate resource information with the operation environment condition, obtaining a calibration cloud platform service type meeting the operation environment condition from a plurality of candidate cloud platform service types, and comparing the calibration resource information of the calibration cloud platform service type with the capacity requirement condition to obtain the target cloud platform service type. When the screened target cloud platform service types include a plurality of types, the deployment type confirmation unit is further used for screening one operation cloud platform service type from the plurality of target cloud platform service types according to preset strategies such as priority and the like. And transmitting the service type of the operation cloud platform back to the interface or the port, and further transmitting the service type back to the user, so that one-time pre-operation is completed, namely only the pre-judgment is made on which type of the service of the cloud platform to be deployed can be deployed to the cloud platform, and final service deployment operation is not performed. When service deployment operation needs to be performed, the lifecycle management unit sends an instantiation request to the VNFM, where the instantiation request carries an operation cloud platform service type and a service deployment requirement corresponding to a service to be deployed, so that the VNFM performs service deployment operation on the operation cloud platform service type corresponding to the cloud platform according to the service deployment requirement. It can be understood that the comparison method of the operating environment condition and the capacity requirement condition is substantially the same as the description of the service deployment method, and is not described herein again.
Referring to fig. 7, it is different from the above embodiment that, when the NFVO and the service deployment module are deployed independently, the service deployment module includes a deployment type confirmation unit, and the service deployment system further includes an NFVO (lifecycle management module) and a VNFM (virtual network function management module). The NFVO sends an instantiation request including the service deployment requirement model to the service deployment module, so that the deployment type determining unit obtains the service deployment type and the service deployment condition from the service deployment requirement model through analysis, and obtains the service type of the operation cloud platform according to the service deployment method described in the above embodiment. The NFVO is further configured to send an instantiation request including an operation cloud platform service type and a service deployment requirement to the VNFM, so that the VNFM performs service deployment operation on the corresponding operation cloud platform service type in the cloud platform according to the service deployment requirement.
Referring to fig. 8, an embodiment of the present application provides an electronic device, including:
the processor 801 may be implemented by a general-purpose CPU (central processing unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits, and is configured to execute a relevant program to implement the technical solution provided in the embodiment of the present application;
the memory 802 may be implemented in the form of a ROM (read only memory), a static memory device, a dynamic memory device, or a RAM (random access memory). The memory 802 may store an operating system and other application programs, and when the technical solution provided in the embodiments of the present application is implemented by software or firmware, related program codes are stored in the memory 802, and the processor 801 is used to call and execute the service deployment method in the embodiments of the present application;
an input/output interface 803 for realizing input and output of information;
the communication interface 804 is configured to implement communication interaction between the device and other devices, and may implement communication in a wired manner (e.g., USB, network cable, etc.) or in a wireless manner (e.g., mobile network, wi-Fi, bluetooth, etc.); and
a bus 805 that transfers information between the various components of the device (e.g., the processor 801, memory 802, input/output interfaces 803, and communication interface 804);
wherein the processor 801, the memory 802, the input/output interface 803 and the communication interface 804 are communicatively connected to each other within the device via a bus 805.
The embodiment of the application also provides a storage medium, which is a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used for causing a computer to execute the service deployment method.
The memory, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and these remote memories may be connected to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The embodiments described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute a limitation to the technical solutions provided in the embodiments of the present application, and it is obvious to those skilled in the art that the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems with the evolution of technology and the emergence of new application scenarios.
The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and the scope of the claims of the embodiments of the present application is not limited thereto. Any modifications, equivalents and improvements within the scope and spirit of the embodiments of the present disclosure should be considered within the scope of the claims of the embodiments of the present disclosure by those skilled in the art.
Claims (15)
1. The service deployment method comprises the following steps:
acquiring a service deployment type and a service deployment condition;
determining a plurality of candidate cloud platform service types according to the service deployment type; wherein the candidate cloud platform service type comprises candidate resource information;
and determining the candidate cloud platform service type of which the candidate resource information meets the service deployment condition as a target cloud platform service type from the candidate cloud platform service types.
2. The service deployment method of claim 1, wherein the determining a plurality of candidate cloud platform service types according to the service deployment type comprises:
acquiring a plurality of to-be-determined cloud platform service types;
and matching the service deployment type with the multiple pending cloud platform service types, and determining multiple candidate cloud platform service types matched with the service deployment type from the multiple pending cloud platform service types.
3. The service deployment method according to claim 2, wherein the service deployment condition includes a capacity demand condition;
the capacity demand condition is that at least one of virtual machine resources, port resources, network bandwidth resources, disk resources and mirror image resources is not less than a preset demand resource threshold.
4. The service deployment method according to claim 3, wherein the service deployment condition further comprises a runtime environment condition;
the determining, from the candidate cloud platform service types, that the candidate cloud platform service type of which the candidate resource information meets the service deployment condition is a target cloud platform service type includes:
determining the candidate cloud platform service type of which the candidate resource information meets the operating environment condition as a calibration cloud platform service type from the candidate cloud platform service types; the service type of the calibration cloud platform comprises calibration resource information;
determining the calibration cloud platform service type with the calibration resource information meeting the capacity requirement condition as the target cloud platform service type from the calibration cloud platform service types;
the operating environment condition is that at least one of a service reliability index, a service importance index, a resource sharing grade or a resource isolation index is not lower than a preset operating environment threshold value.
5. The service deployment method according to any one of claims 1 to 4, further comprising:
determining the number of the target cloud platform service types;
if the number of the target cloud platform service types is larger than a preset threshold value, screening the target cloud platform service types to obtain operation cloud platform service types; and the operation cloud platform service type is used for carrying out service deployment operation.
6. The service deployment method of claim 5, further comprising:
and sending an instantiation request comprising the operation cloud platform service type to a virtual network function management module, so that the virtual network function management module carries out service deployment operation according to the instantiation request.
7. A service deployment system, comprising:
the acquisition module is used for acquiring the service deployment type and the service deployment condition;
the service deployment module is used for determining a plurality of candidate cloud platform service types according to the service deployment types; wherein the candidate cloud platform service type comprises candidate resource information; and the candidate cloud platform service type with the candidate resource information meeting the service deployment condition is determined as a target cloud platform service type from the candidate cloud platform service types.
8. The service deployment system of claim 7, wherein the acquisition module comprises: the type obtaining unit is used for obtaining the service deployment type;
the service deployment module comprises: the deployment type confirmation unit is used for acquiring a plurality of to-be-determined cloud platform service types; and the service deployment type is matched with the multiple to-be-determined cloud platform service types, and multiple candidate cloud platform service types matched with the service deployment type are determined in the multiple to-be-determined cloud platform service types.
9. The service deployment system of claim 8 wherein the service deployment conditions include capacity demand conditions;
the acquisition module further comprises: a capacity demand acquisition unit configured to acquire the capacity demand condition; the capacity demand condition is that at least one of virtual machine resources, port resources, network bandwidth resources, disk resources, mirror image resources and container resources is not less than a preset demand resource threshold.
10. The service deployment system of claim 9 wherein the service deployment conditions further comprise runtime environment conditions;
the acquisition module further comprises: an operating environment acquisition unit for acquiring the operating environment condition; the operating environment condition is that at least one of a service reliability index, a service importance index, a resource sharing grade or a resource isolation index is not lower than a preset operating environment threshold value.
11. The service deployment system according to any one of claims 8 to 10, wherein the service deployment module is further configured to determine a number of target cloud platform service types; if the number of the target cloud platform service types is larger than a preset threshold value, screening the target cloud platform service types to obtain operation cloud platform service types; and the operation cloud platform service type is used for carrying out service deployment operation.
12. The service deployment system of claim 11, wherein the service deployment module further comprises: the life cycle management unit is used for sending an instantiation request comprising the operation cloud platform service type;
the service deployment system further comprises: and the virtual network function management module is used for carrying out service deployment operation according to the instantiation request.
13. The service deployment system of claim 11, further comprising:
the life cycle management module is used for sending an instantiation request comprising the operation cloud platform service type;
and the virtual network function management module is used for carrying out service deployment operation according to the instantiation request.
14. An electronic device, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the service deployment method of any one of claims 1 to 6.
15. Computer readable storage medium having stored therein processor executable instructions, characterized in that said processor executable instructions, when executed by a processor, are for implementing a service deployment method as claimed in any one of claims 1 to 6.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111136324.4A CN115883310A (en) | 2021-09-27 | 2021-09-27 | Service deployment method, service deployment system, electronic device, and storage medium |
| PCT/CN2022/108333 WO2023045552A1 (en) | 2021-09-27 | 2022-07-27 | Service deployment method, service deployment system, electronic device, and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111136324.4A CN115883310A (en) | 2021-09-27 | 2021-09-27 | Service deployment method, service deployment system, electronic device, and storage medium |
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| CN116723114B (en) * | 2023-08-07 | 2023-12-29 | 国网信息通信产业集团有限公司 | Multi-cloud interface adaptation method for multi-cloud environment |
| CN117155804B (en) * | 2023-10-27 | 2024-01-09 | 腾讯科技（深圳）有限公司 | Cloud server deployment method and related device |
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| CN106453646A (en) * | 2016-11-29 | 2017-02-22 | 上海有云信息技术有限公司 | Resource scheduling method and device for security service platform |
| CN109714423A (en) * | 2018-12-29 | 2019-05-03 | 浪潮电子信息产业股份有限公司 | A kind of OpenStack dispositions method, device, equipment and medium |
| CN112583861B (en) * | 2019-09-27 | 2023-08-22 | 阿里巴巴集团控股有限公司 | Service deployment method, resource allocation method, system, device and server |
| US20210112141A1 (en) * | 2019-10-15 | 2021-04-15 | Hewlett Packard Enterprise Development Lp | Selecting a cloud service provider for deploying a cloud service |
| CN111770477B (en) * | 2020-06-08 | 2024-01-30 | 中天通信技术有限公司 | Deployment method and related device for protection resources of MEC network |
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