CN113626199A - Management method and device of idle cloud computing resources, electronic equipment and storage medium - Google Patents
Management method and device of idle cloud computing resources, electronic equipment and storage medium Download PDFInfo
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Abstract
The present disclosure provides a management method, an apparatus, an electronic device, and a storage medium for idle cloud computing resources, wherein the management method includes: receiving resource request information sent by a user, wherein the resource request information comprises server specifications, server quantity, reserved duration and bid value; acquiring a price list of idle cloud computing resources; determining whether the idle cloud computing resources meet the resource requirements of the user or not according to the server specification, the number of servers and the price table; responding to that the idle cloud computing resources meet the resource requirements, and calculating a target price value according to the server specification, the number of servers, the reserved time length and a price table; and if the bid value is greater than or equal to the target price value, managing the idle cloud computing resources according to the resource request information. Therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time.
Description
Technical Field
The present disclosure relates to the field of cloud computing technologies, and in particular, to a method and an apparatus for managing idle cloud computing resources, an electronic device, and a storage medium.
Background
In the cloud computing industry, the purchase of resources is typically in an "on-demand" manner, with time duration and usage being measured units.
Taking a cloud host as an example, the purchasing formula of a cloud host of a specific specification (specification, i.e. configuration of the cloud host, e.g. 4c8g) is generally two: firstly, the purchase is carried out in an unfixed time length, which is also called 'charging according to configuration' and 'post-payment'. Secondly, purchasing the duration of a certain period at one time, also called as 'packing the year and month' and 'prepaying'.
Currently, there is a way to sell idle resources, which is called "spot instance". In this way, according to the amount of the idle resources left in the resource pool, the cloud computing manufacturers provide the idle resources in a variable price and auction mode, and the users with the highest price will obtain the resources preferentially. However, during the use of the bidding instance, if there are other users who have higher bids or other users who have purchased the resource at a positive price, the current resource may be immediately freed to meet the new demand.
Disclosure of Invention
An embodiment of the first aspect of the disclosure provides a management method for idle cloud computing resources, which can be used for pricing the idle cloud computing resources in a more flexible manner, and simultaneously can also take into account price advantages and predictability of use duration of the idle cloud computing resources.
The embodiment of the second aspect of the disclosure provides a management device for idle cloud computing resources.
An embodiment of a third aspect of the present disclosure provides an electronic device.
A fourth aspect of the present disclosure is directed to a computer-readable storage medium.
An embodiment of a first aspect of the present disclosure provides a method for managing idle cloud computing resources, including:
receiving resource request information sent by a user, wherein the resource request information comprises server specifications, server quantity, reserved duration and bid value;
acquiring a price list of idle cloud computing resources; determining whether the idle cloud computing resources meet the resource requirements of the user according to the server specification, the number of servers and the price table;
responding to the idle cloud computing resources to meet the resource requirements, and calculating a target price value according to the server specification, the number of servers, the reserved time length and the price table;
and if the bid value is greater than or equal to the target price value, managing the idle cloud computing resources according to the resource request information.
According to the management method of the idle cloud computing resources, firstly, resource request information sent by a user is received, a price table of the idle cloud computing resources is obtained, whether the idle cloud computing resources meet the resource requirements of the user is determined according to the server specification, the number of servers and the price table, then, in response to the fact that the idle cloud computing resources meet the resource requirements, a target price value is calculated according to the server specification, the number of servers, the reserved time length and the price table, and if the bid value is larger than or equal to the target price value, the idle cloud computing resources are managed according to the resource request information. Therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time. .
In addition, the method for managing idle cloud computing resources according to the above embodiment of the present disclosure may further have the following additional technical features:
in one embodiment of the present disclosure, the price list is generated by: acquiring the specification of idle servers and the number of idle servers of the idle cloud computing resources; acquiring historical consumption data of cloud computing resources in a target time period; generating the utilization rate of the idle cloud computing resources in a prediction time period according to the idle server specification, the number of the idle servers and the historical resource consumption data; and generating the price list according to the specifications of the idle servers, the number of the idle servers and the utilization rate.
In an embodiment of the present disclosure, the method for managing idle cloud computing resources further includes: acquiring the specification of idle servers and the number of the idle servers of the idle cloud computing resources again, and acquiring historical cloud computing resource consumption data in the target time period again; regenerating the utilization rate of the idle cloud computing resources in the prediction time period according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the newly acquired historical resource consumption data; and updating the price list according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the regenerated utilization rate.
In an embodiment of the present disclosure, the price table includes a first corresponding relationship between the idle server specification and the idle server number, and the determining whether the idle cloud computing resource meets the resource demand of the user according to the server specification, the server number, and the price table includes: matching the server specification and the number of servers with the first corresponding relationship; if the matching is successful, determining that the idle cloud computing resources meet the resource requirements; and if the matching fails, determining that the idle cloud computing resources do not meet the resource requirements.
In an embodiment of the present disclosure, the price table includes a plurality of second corresponding relationships between the predicted reserved time lengths and the idle server specification, the number of idle servers, and the predicted price value, respectively, and the calculating a target price value according to the server specification, the number of servers, the reserved time length, and the price table in response to the idle cloud computing resource satisfying the resource demand includes: determining a third corresponding relation between the reserved time length and the specification of the idle servers, the number of the idle servers and the predicted price value from the second corresponding relation according to the reserved time length; and calculating the target price value according to the server specification, the number of the servers and the third corresponding relation.
An embodiment of a second aspect of the present disclosure provides a management apparatus for idle cloud computing resources, including:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving resource request information sent by a user, and the resource request information comprises server specifications, server quantity, reserved time length and bid value;
the acquisition module is used for acquiring a price list of the idle cloud computing resources;
the determining module is used for determining whether the idle cloud computing resources meet the resource requirements of the users according to the server specification, the number of the servers and the price table;
the calculation module is used for responding that the idle cloud computing resources meet the resource requirements, and calculating a target price value according to the server specification, the number of the servers, the reserved time length and the price table; and
and the management module is used for managing the idle cloud computing resources according to the resource request information if the bid value is greater than or equal to the target price value.
The management device for the idle cloud computing resources comprises a receiving module, an obtaining module, a determining module, a calculating module and a management module, wherein the receiving module is used for receiving resource request information sent by a user, the obtaining module is used for obtaining a price table of the idle cloud computing resources, the determining module is used for determining whether the idle cloud computing resources meet the resource requirements of the user according to the server specification, the server number and the price table, the calculating module is used for responding to the idle cloud computing resources to meet the resource requirements, a target price value is calculated according to the server specification, the server number, the reserved time length and the price table, and if the bid value is larger than or equal to the target price value, the management module is used for managing the idle cloud computing resources according to the resource request information. Therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time.
In addition, the management device for idle cloud computing resources according to the above embodiment of the present disclosure may further have the following additional technical features:
in an embodiment of the present disclosure, the apparatus for managing idle cloud computing resources further includes:
a generating module for generating the price list by: acquiring the specification of idle servers and the number of idle servers of the idle cloud computing resources; acquiring historical consumption data of cloud computing resources in a target time period; generating the utilization rate of the idle cloud computing resources in a prediction time period according to the idle server specification, the number of the idle servers and the historical resource consumption data; and generating the price list according to the specifications of the idle servers, the number of the idle servers and the utilization rate.
In an embodiment of the present disclosure, the apparatus for managing idle cloud computing resources further includes: an update module to: acquiring the specification of idle servers and the number of the idle servers of the idle cloud computing resources again, and acquiring historical cloud computing resource consumption data in the target time period again; regenerating the utilization rate of the idle cloud computing resources in the prediction time period according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the newly acquired historical resource consumption data; and updating the price list according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the regenerated utilization rate.
In an embodiment of the disclosure, the price table includes a first correspondence between the specification of the idle servers and the number of the idle servers, and the determining module is specifically configured to: matching the server specification and the number of servers with the first corresponding relationship; if the matching is successful, determining that the idle cloud computing resources meet the resource requirements; and if the matching fails, determining that the idle cloud computing resources do not meet the resource requirements.
In an embodiment of the disclosure, the price table includes a plurality of second corresponding relationships between the predicted reserved time lengths and the specification of the idle servers, the number of the idle servers, and the predicted price value, and the calculating module is specifically configured to: determining a third corresponding relation between the reserved time length and the specification of the idle servers, the number of the idle servers and the predicted price value from the second corresponding relation according to the reserved time length; and calculating the target price value according to the server specification, the number of the servers and the third corresponding relation.
An embodiment of a third aspect of the present disclosure provides an electronic device, including: the cloud computing resource management method comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor executes the program, the management method of the idle cloud computing resource is realized.
According to the electronic device disclosed by the embodiment of the disclosure, the processor executes the computer program stored on the memory, so that the idle cloud computing resources can be priced in a more flexible manner, and meanwhile, the price advantage and the predictability of the use duration of the idle cloud computing resources can be considered.
A fourth aspect of the present disclosure provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for managing idle cloud computing resources as described in the foregoing first aspect of the present disclosure.
The computer-readable storage medium of the embodiment of the disclosure stores a computer program and is executed by a processor, so that the idle cloud computing resources can be priced in a more flexible manner, and price advantages and predictability of the use duration of the idle cloud computing resources can be considered.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart diagram of a method for managing idle cloud computing resources according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart diagram illustrating a method for managing idle cloud computing resources according to another embodiment of the present disclosure;
fig. 3 is a schematic flow chart diagram of a method for managing idle cloud computing resources according to another embodiment of the present disclosure;
fig. 4 is a flowchart illustrating a method for managing idle cloud computing resources according to another embodiment of the present disclosure;
fig. 5 is a flowchart illustrating a method for managing idle cloud computing resources according to another embodiment of the present disclosure;
FIG. 6 is a schematic flow chart diagram of updating a price list according to one embodiment of the present disclosure;
FIG. 7 is a schematic flow chart illustrating a process for a user to purchase idle cloud computing resources at a client;
fig. 8 is a block schematic diagram of an apparatus for managing idle cloud computing resources according to one embodiment of the present disclosure; and
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure.
The following describes a management method, an apparatus, an electronic device, and a storage medium of idle cloud computing resources according to embodiments of the present disclosure with reference to the accompanying drawings.
The method for managing idle cloud computing resources provided in the embodiments of the present disclosure may be executed by an electronic device, where the electronic device may be a PC (Personal Computer), a tablet Computer, a server, or the like, and is not limited herein.
In the disclosed embodiment, the electronic device may be provided with a processing component, a storage component and a driving component. Optionally, the driving component and the processing component may be integrated, the storage component may store an operating system, an application program, or other program modules, and the processing component implements the method for managing idle cloud computing resources provided in the embodiment of the present disclosure by executing the application program stored in the storage component.
Fig. 1 is a flowchart illustrating a method for managing idle cloud computing resources according to an embodiment of the present disclosure.
The management method of the idle cloud computing resources according to the embodiments of the present disclosure can be further executed by the management apparatus of the idle cloud computing resources according to the embodiments of the present disclosure, the device can be configured in the electronic equipment to receive the resource request information sent by the user and acquire the price list of the idle cloud computing resources, and determining whether the idle cloud computing resources meet the resource requirements of the user according to the server specification, the number of servers and the price table, then responding to the idle cloud computing resources to meet the resource requirements, calculating a target price value according to the server specification, the number of servers, the reserved time length and the price table, if the bid value is greater than or equal to the target price value, managing the idle cloud computing resources according to the resource request information, therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time.
As a possible situation, the management method of the idle cloud computing resources according to the embodiment of the present disclosure may also be executed at a server, where the server may be a cloud server, and the management method of the idle cloud computing resources may be executed at a cloud end.
As shown in fig. 1, the method for managing idle cloud computing resources may include:
The server specification may be a configuration of servers (cloud hosts), such as 1c2g (1 processor 2g memory), 2c4g (2 processor 4g memory), 2c8g (2 processor 8g memory), etc., the number of servers may be the number of servers that a user wants to use, the reserved time may be the time that the user wants to use the idle cloud computing resources (i.e., the time that the server is used), and the bid value may be the highest bid value the user expects to pay.
In the embodiment of the disclosure, when a user wants to purchase an idle cloud computing resource, resource request information may be created by a client, and the resource request information is sent to a relevant server (for example, a cloud computing resource management server), and the server may respond (operate) after receiving the resource request information.
It should be noted that, the client described in this embodiment may provide a resource request application page, and a user may fill in a requirement of the user through the resource request application page to create related resource request information. The client can be installed in electronic equipment such as a mobile phone, a tablet computer and a PC (personal computer) of a user.
As a possible situation, when a user wants to purchase an idle cloud computing resource, resource request information may be created through a client, and a corresponding response (operation) may be directly made according to the resource request information.
It should be noted that the price table described in this embodiment may be generated and pre-stored in the storage space of the server to facilitate the retrieval of the application. The storage space is not limited to an entity-based storage space, such as a hard disk, and the storage space may also be a cloud storage space connected to a server.
Specifically, after receiving the resource request information sent by the user, the server may call (acquire) a price list of the idle cloud computing resources from its own storage space.
To clearly illustrate the above embodiment, in one embodiment of the present disclosure, as shown in fig. 2, the price table may be generated by:
It should be noted that, the specification of the idle servers and the number of the idle servers described in this embodiment may be obtained through an associated API (Application Programming Interface), for example, the specification of the idle servers and the number of the idle servers of the idle cloud computing resources may be obtained from the resource pool through the associated API.
Specifically, the server may obtain the idle server specification and the number of idle servers of the idle cloud computing resource from the resource pool of the cloud computing resource through the relevant API interface.
In the embodiment of the disclosure, cloud computing resource historical consumption data in a target time period can be acquired from a cloud computing resource usage database. The server can write real-time consumption data of the cloud computing resources into the cloud computing resource use database so as to facilitate subsequent use.
Specifically, after acquiring the specification of the idle servers and the number of the idle servers of the idle cloud computing resource, the server may call the cloud computing resource usage database from its own storage space, and acquire historical consumption data of the cloud computing resource within a target time period (for example, within the last week) from the cloud computing resource usage database.
It should be noted that, the server described in this embodiment may update data written in the cloud computing resource usage database in real time, and may periodically clean up obsolete data in the cloud computing resource usage database, so as to release the storage space of the server and relieve the pressure on the storage space.
And 203, generating the utilization rate of the idle cloud computing resources in the prediction time period according to the specification of the idle servers, the number of the idle servers and historical resource consumption data.
It should be noted that the prediction time period described in this embodiment may be calibrated according to actual conditions, and is usually less than one month, for example, one week or one day in the future.
In the embodiment of the disclosure, the utilization rate of the idle cloud computing resources in the prediction time period can be generated according to a preset utilization rate generation algorithm, the specification of the idle servers, the number of the idle servers and historical resource consumption data. The preset utilization rate generation algorithm can be calibrated according to actual conditions.
Specifically, after the server acquires historical cloud computing resource consumption data in the target time period, the utilization rate of the idle cloud computing resources in the prediction time period can be generated according to a preset utilization rate generation algorithm, the specifications of the idle servers, the number of the idle servers and the historical resource consumption data.
As a possible scenario, the specification of the idle servers, the number of the idle servers, and the historical resource consumption data may be processed according to the utilization rate generation model to generate the utilization rate of the idle cloud computing resources in the prediction time period. It should be noted that the utilization rate generation model described in this embodiment may be trained in advance and pre-stored in the storage space of the server to facilitate retrieval of the application.
The training and the generation of the utilization rate generation model can be executed by a related training server, the training server can be a cloud server or a host of a computer, communication connection is established between the training server and a server capable of executing the management method of the idle cloud computing resources provided by the embodiment of the disclosure, and the communication connection can be at least one of wireless network connection and wired network connection. The training server can send the trained analytical model to the server so that the server can call the model when needed, and therefore the computing pressure of the server is greatly reduced.
Specifically, after the cloud computing resource historical consumption data in the target time period are acquired, the server can call out the utilization rate generation model from the storage space of the server, and inputs the specification of the idle servers, the number of the idle servers and the resource historical consumption data into the utilization rate generation model, so that the specification of the idle servers, the number of the idle servers and the resource historical consumption data are processed through the utilization rate generation model, and the utilization rate of the idle cloud computing resources output by the utilization rate generation model in the prediction time period is obtained.
As another possible scenario, the server may also process the idle server specification, the number of idle servers, and the resource historical consumption data using a utilization calculation tool (e.g., a plug-in) to generate a utilization of the idle cloud computing resources over the predicted time period.
And step 204, generating a price list according to the specification of the idle servers, the number of the idle servers and the utilization rate.
In the embodiment of the disclosure, the price table may be generated based on a preset price table generating strategy, and the predicted price values at different predicted reserved durations may be calculated according to the specification of the idle servers, the number of the idle servers, and the utilization rate. And the preset price table generation strategy can be calibrated according to the actual situation.
Specifically, after generating the utilization rate of the idle cloud computing resources in the prediction time period, the server may generate a policy based on a preset price table, and calculate predicted price values for different predicted reserved durations according to the specification of the idle servers, the number of the idle servers, and the utilization rate to generate the price table.
As a possible scenario, after the server generates the utilization rate of the idle cloud computing resources in the prediction time period, the server may further process the idle server specification, the number of idle servers, and the utilization rate process through the price list generation model to generate the price list. It should be noted that the price list generation model described in this embodiment may be trained in advance and pre-stored in the storage space of the server to facilitate retrieval of the application.
As another possible scenario, after generating the utilization of the idle cloud computing resources within the predicted time period, the server may also process the idle server specification, the number of idle servers, and the utilization process using a price table generation tool (e.g., a plug-in) to generate a price table.
It should be noted that the price table described in this embodiment may include a plurality of predicted reserved time lengths, specifications of idle servers, the number of idle servers, and predicted price values, and their corresponding relationships. The unit prices of servers (cloud computing servers) with different specifications under different predicted reserved time lengths may be different, for example, the unit price is higher as the predicted reserved time length is longer, and resources are not forcibly recycled by the system within the predicted reserved time length, which may be specifically shown in table 1 below:
TABLE 1
As can be seen from table 1, for a single server of the same specification, the longer the predicted reservation duration is, the higher the price is, and the higher the predicted utilization rate of the idle resources in a certain future time period is, the higher the price is.
And 103, determining whether the idle cloud computing resources meet the resource requirements of the user or not according to the server specification, the number of servers and the price list.
To clearly illustrate the above embodiment, in an embodiment of the present disclosure, as shown in fig. 3, the price table may include a first corresponding relationship between the specification of the idle servers and the number of idle servers, and determining whether the idle cloud computing resources meet the resource demand of the user according to the specification of the servers, the number of servers, and the price table may include:
It should be noted that the first correspondence described in this embodiment is the current idle number corresponding to a certain size of server, for example, the current idle number of the server in 1c2g size is 5, and the current idle number of the server in 2c4g is 10.
Specifically, after the server obtains the price list of the idle cloud computing resources, the price list may be analyzed to obtain a first corresponding relationship between the idle server specification and the number of idle servers in the price list, then the server specification and the number of servers in the request resource information may be matched with the first corresponding relationship, and whether matching is successful is determined according to a matching result (that is, whether the idle server specification in the first corresponding relationship and the number of idle servers corresponding to the idle server specification meet the requirement of the user are determined), and if yes, it may be determined that the idle cloud computing resources meet the resource requirement; if not, determining that the idle cloud computing resources do not meet the resource requirements.
And 104, responding to that the idle cloud computing resources meet the resource requirements, and calculating a target price value according to the server specification, the number of servers, the reserved time length and the price table.
In an embodiment of the present disclosure, as shown in fig. 4, the price table may include a second corresponding relationship between a plurality of predicted reserved time lengths and the specification of the idle servers, the number of idle servers, and the predicted price value, respectively, and in response to the idle cloud computing resources meeting the resource demand, calculating the target price value according to the specification of the servers, the number of servers, the reserved time length, and the price table may include:
In the embodiment of the present disclosure, in the process of analyzing the price table, a plurality of predicted reserved durations in the available price table respectively correspond to a second corresponding relationship between the specification of the idle server, the number of the idle servers, and the predicted price value.
Specifically, in response to the idle cloud computing resource meeting the resource requirement, the server may first obtain the second corresponding relationship from the price table, and may query the second corresponding relationship using the reserved time length in the request resource information as an index, so as to determine a third corresponding relationship between the reserved time length and the specifications of the idle servers, the number of the idle servers, and the predicted price value from the second corresponding relationship.
Specifically, after determining the third corresponding relationship, the server may match the server specification in the request resource information with the third corresponding relationship to obtain a fourth corresponding relationship between the reserved time and the server specification, the number of idle servers, and the predicted price value, and then calculate the target price value according to the number of servers in the request resource information and the number of idle servers and the predicted price value in the fourth corresponding relationship, for example, the predicted price value is divided by the number of idle servers and then multiplied by the number of servers to obtain the target price value.
And 105, if the bid value is greater than or equal to the target price value, managing the idle cloud computing resources according to the resource request information.
Specifically, after the server calculates the target price value, the server may compare a bid value in the request resource information with the target value to determine whether the bid value is greater than or equal to the target value, and if so, may allocate idle cloud computing resources (server specifications and quantities) to the user for use within a reserved time according to the resource request information, that is, the user purchases successfully; if not, the idle cloud computing resources in the resource request information are not allocated to the user, namely the user fails to purchase.
The idle cloud computing resources allocated to the user, that is, the idle cloud computing resources purchased by the user, are not forcibly released within the reserved time length. Therefore, the requirements of the user can be guaranteed.
In an embodiment of the present disclosure, as shown in fig. 5, the method for managing the idle cloud computing resources may further include:
Specifically, after the prediction time period, the server may re-obtain the idle server specification and the number of idle servers of the idle cloud computing resources from the resource pool of the cloud computing resources through the relevant API interface, and re-obtain the historical consumption data of the cloud computing resources in the target time period (for example, in the last week) from the cloud computing resource usage database.
Specifically, the regeneration of the utilization rate may refer to the related description in step 203, and is not described herein again.
Specifically, after the server regenerates the utilization rate of the idle cloud computing resources in the prediction time period, the server may recalculate the predicted price values for different predicted reserved durations based on the preset price table generation strategy according to the specifications of the reacquired idle servers, the reacquired number of idle servers, and the regenerated utilization rate, so as to update the current price table, thereby generating a new price table.
The price table can be updated as shown in fig. 6, the server first obtains specifications of the idle servers and the number of the idle servers, obtains historical consumption data of cloud computing resources, then generates a utilization rate of the cloud computing resources in a prediction time period, and finally updates the price table, and the process is circulated under a certain condition (for example, after the prediction time period), so as to achieve the purpose of continuously updating the price table.
In order to enable a person skilled in the art to more clearly understand the method for purchasing idle cloud computing resources in the embodiment of the present disclosure, referring to fig. 7, a schematic flow diagram of purchasing idle cloud computing resources at a client is shown, where a user first sends resource request information, then a system queries a price table, and determines whether to match a user demand, and if so, the user purchases successfully; if not, the user needs to resend the resource request information.
In the embodiment of the disclosure, when the purchased idle cloud computing resource expires, if the user wants to continue to add the purchase duration according to the original purchase flow, the user needs to purchase according to the currently updated price list and the added resource request information.
In summary, according to the management method of the idle cloud computing resources of the embodiment of the disclosure, first, resource request information sent by a user is received, a price table of the idle cloud computing resources is obtained, whether the idle cloud computing resources meet the resource requirements of the user is determined according to the server specification, the number of servers and the price table, then, in response to the idle cloud computing resources meeting the resource requirements, a target price value is calculated according to the server specification, the number of servers, the reserved time length and the price table, and if the bid value is greater than or equal to the target price value, the idle cloud computing resources are managed according to the resource request information. Therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time.
Fig. 8 is a block diagram illustrating an apparatus for managing idle cloud computing resources according to an embodiment of the present disclosure.
The management device for the idle cloud computing resources, disclosed by the embodiment of the disclosure, can be configured in an electronic device to receive resource request information sent by a user, acquire a price table of the idle cloud computing resources, determine whether the idle cloud computing resources meet the resource requirements of the user according to the server specification, the number of servers and the price table, respond that the idle cloud computing resources meet the resource requirements, calculate a target price value according to the server specification, the number of servers, the reserved time length and the price table, and manage the idle cloud computing resources according to the resource request information if the bid value is greater than or equal to the target price value, so that the idle cloud computing resources can be priced in a more flexible manner, and meanwhile, the price advantage of the idle cloud computing resources and the predictability of the use time length can be considered. As shown in fig. 8, the apparatus 800 for managing idle cloud computing resources may include: a receiving module 810, an obtaining module 820, a determining module 830, a calculating module 840, and a managing module 850.
The receiving module 810 is configured to receive resource request information sent by a user, where the resource request information includes a server specification, a number of servers, a reserved time length, and a bid amount.
An obtaining module 820 is configured to obtain a price list of the idle cloud computing resources.
The determining module 830 is configured to determine whether the idle cloud computing resources meet the resource demand of the user according to the server specification, the number of servers, and the price table.
The calculating module 840 is configured to calculate a target price value according to the server specification, the number of servers, the reserved time length, and the price table in response to the idle cloud computing resource meeting the resource requirement.
And the management module 850 is configured to manage the idle cloud computing resource according to the resource request information if the bid value is greater than or equal to the target price value.
In an embodiment of the present disclosure, the apparatus 800 for managing idle cloud computing resources further includes: a generating module 860 for generating a price list by: acquiring the specification of idle servers and the number of the idle servers of idle cloud computing resources; acquiring historical consumption data of cloud computing resources in a target time period; generating the utilization rate of the idle cloud computing resources in a prediction time period according to the specifications of the idle servers, the number of the idle servers and historical resource consumption data; and generating a price list according to the specification of the idle servers, the number of the idle servers and the utilization rate.
In an embodiment of the present disclosure, the apparatus 800 for managing idle cloud computing resources further includes: an update module 870 to: the specification and the number of idle servers of the idle cloud computing resources are obtained again, and historical cloud computing resource consumption data in a target time period are obtained again; regenerating the utilization rate of the idle cloud computing resources in the prediction time period according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the newly acquired historical resource consumption data; and updating the price list according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the regenerated utilization rate.
In an embodiment of the disclosure, the price list includes a first corresponding relationship between the specification of the idle servers and the number of the idle servers, and the determining module 830 is specifically configured to: matching the server specification and the number of the servers with the first corresponding relation; if the matching is successful, determining that the idle cloud computing resources meet the resource requirements; and if the matching fails, determining that the idle cloud computing resources do not meet the resource requirements.
In an embodiment of the disclosure, the price table includes a plurality of second corresponding relationships between the predicted reserved time lengths and the specification of the idle servers, the number of the idle servers, and the predicted price value, and the calculating module 840 is specifically configured to: determining a third corresponding relation between the reserved time length and the specification of the idle servers, the number of the idle servers and the predicted price value from the second corresponding relation according to the reserved time length; and calculating the target price value according to the server specification, the number of the servers and the third corresponding relation.
In summary, in the management apparatus for idle cloud computing resources according to the embodiment of the disclosure, first, the receiving module receives resource request information sent by a user, the obtaining module obtains a price table of the idle cloud computing resources, the determining module determines whether the idle cloud computing resources meet the resource demand of the user according to the server specification, the server number, and the price table, then the computing module responds that the idle cloud computing resources meet the resource demand, calculates a target price value according to the server specification, the server number, the reserved duration, and the price table, and if the bid value is greater than or equal to the target price value, the management module manages the idle cloud computing resources according to the resource request information. Therefore, the idle cloud computing resources can be priced in a more flexible mode, and price advantages and the using duration predictability of the idle cloud computing resources can be considered at the same time.
In order to implement the foregoing embodiments, as shown in fig. 9, the present invention further provides an electronic device 900, which includes a memory 910, a processor 920, and a computer program stored in the memory 910 and executable on the processor 920, where the processor 920 executes the computer program to implement the method for managing idle cloud computing resources according to the foregoing embodiments of the present disclosure.
According to the electronic device disclosed by the embodiment of the disclosure, the processor executes the computer program stored on the memory, so that the idle cloud computing resources can be priced in a more flexible manner, and meanwhile, the price advantage and the predictability of the use duration of the idle cloud computing resources can be considered.
In order to implement the foregoing embodiments, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for managing idle cloud computing resources according to the foregoing embodiments of the present disclosure.
The computer-readable storage medium of the embodiment of the disclosure stores a computer program and is executed by a processor, so that the idle cloud computing resources can be priced in a more flexible manner, and price advantages and predictability of the use duration of the idle cloud computing resources can be considered.
In the description of the present specification, the terms "first", "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (12)
1. A method for managing idle cloud computing resources, comprising:
receiving resource request information sent by a user, wherein the resource request information comprises server specifications, server quantity, reserved duration and bid value;
acquiring a price list of idle cloud computing resources;
determining whether the idle cloud computing resources meet the resource requirements of the user according to the server specification, the number of servers and the price table;
responding to the idle cloud computing resources to meet the resource requirements, and calculating a target price value according to the server specification, the number of servers, the reserved time length and the price table; and
and if the bid value is greater than or equal to the target price value, managing the idle cloud computing resources according to the resource request information.
2. The method for managing the idle cloud computing resources of claim 1, wherein the price table is generated by:
acquiring the specification of idle servers and the number of idle servers of the idle cloud computing resources;
acquiring historical consumption data of cloud computing resources in a target time period;
generating the utilization rate of the idle cloud computing resources in a prediction time period according to the idle server specification, the number of the idle servers and the historical resource consumption data;
and generating the price list according to the specifications of the idle servers, the number of the idle servers and the utilization rate.
3. The method for managing the idle cloud computing resources of claim 2, further comprising:
acquiring the specification of idle servers and the number of the idle servers of the idle cloud computing resources again, and acquiring historical cloud computing resource consumption data in the target time period again;
regenerating the utilization rate of the idle cloud computing resources in the prediction time period according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the newly acquired historical resource consumption data;
and updating the price list according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the regenerated utilization rate.
4. The method for managing the idle cloud computing resources according to claim 2, wherein the price table includes a first corresponding relationship between the idle server specification and the number of idle servers, and the determining whether the idle cloud computing resources meet the resource requirement of the user according to the server specification, the number of servers, and the price table includes:
matching the server specification and the number of servers with the first corresponding relationship;
if the matching is successful, determining that the idle cloud computing resources meet the resource requirements;
and if the matching fails, determining that the idle cloud computing resources do not meet the resource requirements.
5. The method for managing the idle cloud computing resources of claim 2, wherein the price table includes a second correspondence between a plurality of predicted reserved time lengths and the idle server specification, the number of idle servers, and a predicted price value, respectively, and the calculating a target price value according to the server specification, the number of servers, the reserved time length, and the price table in response to the idle cloud computing resources satisfying the resource demand comprises:
determining a third corresponding relation between the reserved time length and the specification of the idle servers, the number of the idle servers and the predicted price value from the second corresponding relation according to the reserved time length;
and calculating the target price value according to the server specification, the number of the servers and the third corresponding relation.
6. An apparatus for managing idle cloud computing resources, comprising:
the system comprises a receiving module, a sending module and a receiving module, wherein the receiving module is used for receiving resource request information sent by a user, and the resource request information comprises server specifications, server quantity, reserved time length and bid value;
the acquisition module is used for acquiring a price list of the idle cloud computing resources;
the determining module is used for determining whether the idle cloud computing resources meet the resource requirements of the users according to the server specification, the number of the servers and the price table;
the calculation module is used for responding that the idle cloud computing resources meet the resource requirements, and calculating a target price value according to the server specification, the number of the servers, the reserved time length and the price table; and
and the management module is used for managing the idle cloud computing resources according to the resource request information if the bid value is greater than or equal to the target price value.
7. The apparatus for managing idle cloud computing resources of claim 6, further comprising:
a generating module for generating the price list by:
acquiring the specification of idle servers and the number of idle servers of the idle cloud computing resources;
acquiring historical consumption data of cloud computing resources in a target time period;
generating the utilization rate of the idle cloud computing resources in a prediction time period according to the idle server specification, the number of the idle servers and the historical resource consumption data;
and generating the price list according to the specifications of the idle servers, the number of the idle servers and the utilization rate.
8. The apparatus for managing idle cloud computing resources of claim 7, further comprising:
an update module to:
acquiring the specification of idle servers and the number of the idle servers of the idle cloud computing resources again, and acquiring historical cloud computing resource consumption data in the target time period again;
regenerating the utilization rate of the idle cloud computing resources in the prediction time period according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the newly acquired historical resource consumption data;
and updating the price list according to the specifications of the newly acquired idle servers, the number of the newly acquired idle servers and the regenerated utilization rate.
9. The apparatus for managing idle cloud computing resources of claim 7, wherein the price table includes a first correspondence between the idle server specification and the number of idle servers, and the determining module is specifically configured to:
matching the server specification and the number of servers with the first corresponding relationship;
if the matching is successful, determining that the idle cloud computing resources meet the resource requirements;
and if the matching fails, determining that the idle cloud computing resources do not meet the resource requirements.
10. The apparatus for managing cloud computing resources as claimed in claim 7, wherein the price table includes a plurality of second corresponding relationships between the predicted reserved time lengths and the specification of the idle servers, the number of the idle servers, and the predicted price value, and the calculating module is specifically configured to:
determining a third corresponding relation between the reserved time length and the specification of the idle servers, the number of the idle servers and the predicted price value from the second corresponding relation according to the reserved time length;
and calculating the target price value according to the server specification, the number of the servers and the third corresponding relation.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for managing the idle cloud computing resources as claimed in any one of claims 1 to 5.
12. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing a method for managing idle cloud computing resources as claimed in any one of claims 1 to 5.
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