CN110308985B - Cloud exclusive server resource management method, device, equipment and storage medium - Google Patents
Cloud exclusive server resource management method, device, equipment and storage medium Download PDFInfo
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- CN110308985B CN110308985B CN201910413431.3A CN201910413431A CN110308985B CN 110308985 B CN110308985 B CN 110308985B CN 201910413431 A CN201910413431 A CN 201910413431A CN 110308985 B CN110308985 B CN 110308985B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
- G06F9/5016—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals the resource being the memory
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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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
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Abstract
The invention relates to the technical field of clouds, and discloses a cloud exclusive server resource management method, which comprises the following steps: acquiring operation information of an application system; judging whether the application system is accessed according to the running information; if the application system is accessed, acquiring the current access quantity of the application system, and acquiring exclusive server resources from an exclusive area of a public resource pool according to a predefined CPU memory ratio strategy; judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource; if yes, expanding and using new proprietary server resources in the proprietary area according to the current access quantity of the application system. The invention also discloses a cloud exclusive server resource management device, equipment and a computer readable storage medium. The invention can carry out personalized management on the exclusive server resources, satisfies the extreme utilization of the resources, and realizes the comprehensive management on the exclusive server resources.
Description
Technical Field
The present invention relates to the field of cloud technologies, and in particular, to a method, an apparatus, a device, and a computer readable storage medium for managing resources of a cloud-dedicated server.
Background
Currently, most public cloud products on the market are leased to users in a resource sharing mode, namely, some tenants share the same resource pool. When a load peak value of a certain tenant continuously occurs, the application performance of other tenants in the resource pool is affected to a certain extent, and stable operation of the service cannot be guaranteed. Even if an enterprise purchases a cloud product and singly uses cloud exclusive server resources, the enterprise still faces the problem of unbalanced load, if the cloud exclusive server resources are not managed, risks are brought to the stable operation of the enterprise, and especially the enterprise with higher safety compliance requirements is more deadly threatened, so how to manage the cloud exclusive server resources so as to realize the extremely utilization of the resources becomes the technical problem to be solved urgently at present.
Disclosure of Invention
The invention mainly aims to provide a cloud exclusive server resource management method, device, equipment and computer readable storage medium, and aims to solve the technical problem that an exclusive server cannot be managed in the prior art.
In order to achieve the above object, the present invention provides a cloud-dedicated server resource management method, which includes the following steps:
acquiring operation information of an application system;
judging whether the application system is accessed according to the running information of the application system;
if the application system is accessed, acquiring the current access quantity of the application system, and acquiring exclusive server resources from an exclusive area of a public resource pool according to a predefined CPU memory ratio strategy;
judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource;
if the current access amount of the application system exceeds the preset threshold value of the receivable access amount of the proprietary server resource, expanding the proprietary server resource in the proprietary area and using the expanded proprietary server resource according to the access amount of the current application system, and if the current access amount of the application system does not exceed the preset threshold value of the receivable access amount of the proprietary server resource, judging whether the current access amount of the application system exceeds the preset threshold value of the receivable access amount of the proprietary server resource.
Optionally, before the step of acquiring the running information of the application system, the method further includes the following steps:
Dividing a mixing area and an exclusive area in a public resource pool according to a preset rule, wherein the exclusive area is used for storing resources of an exclusive server;
by presetting a formula: number of dedicated server resources = daily maximum access/single dedicated server resource, calculating the number of dedicated server resources required to be stored in the dedicated area, and storing the number of dedicated server resources in the dedicated area.
Optionally, after the passing of the preset formula: the method comprises the steps of calculating the number of the exclusive server resources required to be stored in the exclusive area, and storing the number of the exclusive server resources in the exclusive area, wherein the number of the exclusive server resources = daily maximum access amount/single exclusive server resource, and the method further comprises the following steps:
by the formula: daily maximum access amount = maximum access amount associated with service of 150% total active users of the application system, and daily maximum access amount of each application system is calculated.
Optionally, after the step of acquiring the running information of the application system, the method further includes the following steps:
setting a self-defined monitoring index for a proprietary server in the proprietary region;
judging whether the operation parameters of the exclusive server in the exclusive area exceed the custom monitoring index;
And if the operation parameters of the exclusive server in the exclusive area exceed the self-defined monitoring index, judging that the operation of the exclusive server in the exclusive area is abnormal.
Optionally, before the step of obtaining the current access amount of the application system and obtaining the dedicated server resources in the dedicated area according to the predefined CPU memory ratio policy, the method further includes the following steps:
generating a custom image corresponding to the exclusive server resource according to the exclusive server resource allocation parameter, wherein the custom image is used for expanding new exclusive server resource according to the exclusive server resource;
acquiring the current access quantity of each application system, and calculating the ratio of the current access quantity of each application system;
and expanding new exclusive server resources according to the current access quantity of the application system and the ratio of the current access quantity of each application system through the custom mirror image.
Optionally, after the step of expanding and using a new proprietary server resource in the proprietary area according to the current access amount of the application system if the current access amount of the application system exceeds the preset threshold of the receivable access amount of the proprietary server resource, the method further includes the following steps:
Dividing the new exclusive server resources into one or more new sub-exclusive server resources according to the type of the demand of the application system on the new exclusive server resources;
acquiring the actual demand of the application system on the new sub-dedicated server resource;
judging whether the ratio of the actual demand of the new sub-dedicated server resources to the maximum value of the number of the new dedicated server resources is smaller than a preset minimum ratio;
and if the ratio of the actual demand of the new sub-proprietary server resources to the maximum value of the number of the new proprietary server resources is smaller than a preset minimum ratio, transferring the new sub-proprietary server resources out of the proprietary region according to the actual demand of the application system on the new sub-proprietary server resources.
Further, in order to achieve the above object, the present invention also provides a cloud-dedicated server resource management device, including:
the first acquisition module is used for acquiring the running information of the application system;
the first judging module is used for judging whether the application system is accessed according to the running information;
the second acquisition module is used for acquiring the current access quantity of the application system if the application system is accessed, and acquiring exclusive server resources from an exclusive area of a public resource pool according to a predefined CPU memory ratio strategy;
The second judging module is used for judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource;
and the first expansion module is used for expanding and using new exclusive server resources in the exclusive area if the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resources.
Optionally, the cloud-dedicated server resource management device further includes the following modules:
the first division module is used for dividing a mixed area and an exclusive area in the public resource pool according to a preset rule, and the exclusive area is used for storing resources of an exclusive server;
the calculation module is used for calculating the formula by presetting: the number of dedicated server resources = daily maximum access/single dedicated server resource, the number of dedicated server resources required to be stored in the dedicated area is calculated, and the number of dedicated server resources are stored in the dedicated area.
Optionally, the cloud-dedicated server resource management device further includes the following modules:
the setting module is used for setting a self-defined monitoring index for the exclusive server in the exclusive area;
the third judging module is used for judging whether the operation parameters of the exclusive server in the exclusive area exceed the custom monitoring index;
And the judging module is used for judging that the exclusive server in the exclusive area runs abnormally if the running parameter of the exclusive server in the exclusive area exceeds the self-defined monitoring index.
Optionally, the cloud-dedicated server resource management device further includes the following modules:
the system comprises a creation module, a configuration module and a configuration module, wherein the creation module is used for generating a custom mirror image corresponding to an exclusive server resource according to an exclusive server resource configuration parameter, and the custom mirror image is used for expanding a new exclusive server resource according to the exclusive server resource;
the acquisition and calculation module is used for acquiring the current access quantity of each application system and calculating the ratio of the current access quantity of each application system;
and the second expansion module is used for expanding new exclusive server resources according to the current access quantity of the application system and the ratio of the current access quantity of each application system through the custom mirror image.
Optionally, the cloud-dedicated server resource management device further includes the following modules:
the second dividing module is used for dividing the new exclusive server resources into one or more new sub-exclusive server resources according to the type of the demand of the application system for the new exclusive server resources;
The third acquisition module is used for acquiring the actual demand of the application system on the new sub-exclusive server resource;
a fourth judging module, configured to judge whether a ratio of the actual demand of the new sub-dedicated server resource to the maximum value of the number of new dedicated server resources is smaller than a preset minimum ratio;
and the transfer module is used for transferring the new sub-exclusive server resource out of the exclusive area according to the actual demand of the application system for the new sub-exclusive server resource if the ratio of the actual demand of the new sub-exclusive server resource to the maximum value of the number of the new exclusive server resources is smaller than a preset minimum ratio.
Further, to achieve the above object, the present invention further provides a cloud-dedicated server resource management device, where the cloud-dedicated server resource management device includes a memory, a processor, and a cloud-dedicated server resource management program stored on the memory and executable on the processor, and the cloud-dedicated server resource management program when executed by the processor implements the steps of the cloud-dedicated server resource management method according to any one of the above.
Further, to achieve the above object, the present invention further provides a computer readable storage medium, where a cloud-dedicated server resource management program is stored, and the cloud-dedicated server resource management program when executed by a processor implements the steps of the cloud-dedicated server resource management method according to any one of the above claims.
According to the method and the system, the dedicated server resources stored in the dedicated area are expanded to form new resources according to the actual access quantity of the user to the application system, in addition, the quantity and the proportion of the dedicated server resources can be adjusted and managed according to the access quantity, the extreme utilization of the resources is met, the comprehensive management of the dedicated server resources is realized, the dedicated server resources can be more suitable for the requirements of actual scenes, and the user experience can be improved.
Drawings
Fig. 1 is a schematic structural diagram of an operating environment of a cloud-dedicated server resource management device according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for managing resources of a cloud-dedicated server according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for managing resources of a cloud-dedicated server according to a second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a third embodiment of a method for managing resources of a cloud-dedicated server according to the present invention;
FIG. 5 is a flowchart illustrating a method for managing resources of a cloud-dedicated server according to a fourth embodiment of the present invention;
FIG. 6 is a flowchart illustrating a method for managing resources of a cloud-dedicated server according to a fifth embodiment of the present invention;
FIG. 7 is a flowchart illustrating a method for managing resources of a cloud-dedicated server according to a sixth embodiment of the present invention;
FIG. 8 is a schematic diagram of a functional module of a first embodiment of a cloud-dedicated server resource management device according to the present invention;
fig. 9 is a schematic diagram of functional modules and units of a second embodiment of a cloud-dedicated server resource management device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The invention provides cloud exclusive server resource management equipment.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an operating environment of a cloud-dedicated server resource management device according to an embodiment of the present invention.
As shown in fig. 1, the cloud-dedicated server resource management apparatus includes: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the hardware structure of the cloud-specific server resource management device shown in fig. 1 does not constitute a limitation of the cloud-specific server resource management device, and may include more or fewer components than illustrated, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a cloud-specific server resource management program may be included in a memory 1005, which is one type of computer-readable storage medium. The operating system is a program for managing and controlling cloud-exclusive server resource management equipment and software resources, and supports the operation of the cloud-exclusive server resource management program and other software and/or programs.
In the hardware structure of the cloud-dedicated server resource management device shown in fig. 1, the network interface 1004 is mainly used for accessing the network; the user interface 1003 is mainly used for detecting confirmation instructions, editing instructions, and the like. And the processor 1001 may be configured to manage the cloud-specific server resource management program stored in the memory 1005 and perform the operations of the following embodiments of the cloud-specific server resource management method.
Based on the hardware structure of the cloud exclusive server resource management device, various embodiments of the cloud exclusive server resource management method are provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a cloud-dedicated server resource management method according to the present invention. In this embodiment, the cloud-dedicated server resource management method includes the following steps:
step S10, acquiring operation information of an application system;
in this embodiment, the client event may be monitored by a preset listener, the preset listener acquires and processes real-time data or Oracle history data, and a preset listener is set at each application system, where each preset listener is an independent module, and can independently collect data, and the installation, stopping, running, and upgrading are not affected by each other, and the OSGI controller uniformly controls the life cycle of each monitoring agent, and realizes loose coupling between the collector and the system. The running state of each application system can be monitored through a preset monitoring program, and different server resources are required to be acquired by the application system in different running stages on a display interface displayed by a client. The preset monitor program can acquire various data of the application system in the running process, and can reversely deduce the behavior of the user according to the data, such as whether the user browses the application system, how many users click the application system currently, how much time the user spends browsing the content after opening the application system or whether other operations are executed or not.
Step S20, judging whether the application system is accessed according to the running information of the application system;
in this embodiment, the preset monitor may acquire various data, such as log information, of the application system during running, and according to these data, the behavior of the user may be deduced, for example, the application program is currently in an open state, which indicates that the application program is being accessed, in order to determine whether the user accessing the current application system is a legal user, through the verification program, it may be verified whether the user is actually accessing the application system, for example, the user needs to input correct verification information to determine that the application system is being accessed, where the verification information may be a verification code, fingerprint information, etc. in the form of a short message, and in addition, in order to enable the user to acquire information more conforming to the current scenario, the application system may acquire, through various API interfaces, real behavior information or geographical location information of the user, etc. of the user, so that the application system may acquire corresponding service resources from the cloud server according to the acquired information, and then display the service resources to the user in the form of a page.
Step S30, if the application system is accessed, the current access quantity of the application system is obtained, the exclusive server resource is obtained from the exclusive area of the public resource pool according to the predefined CPU memory ratio strategy, and if the application system is not accessed, the step S20 is returned;
In this embodiment, the method for obtaining the current access amount of the application system is not limited, and the access amount may be obtained by analyzing the log of the application system. The dedicated server resources only provide service resources for a specific application system, and it should be noted that before the dedicated server resources are not set, the server resources in the public resource pool may be shared, for example, there are three servers, i.e., a server, B, and C, originally in the public resource pool, the application system A, B, C may use any one of the server resources of a server, B, and C, and after the dedicated server is set, the application system a may use the server resources of a separately, and B and C may not use the server resources of a server, so that such a server is called a dedicated server. The dedicated area refers to an area for storing dedicated server resources, which is set in a common resource pool, for example, one or more areas for storing dedicated server resources may be set in one common resource pool. The predefined CPU memory ratio policy refers to setting different memory ratios for different dedicated servers, for example, the memory is 1:1,1:2,1:3,1:4,1:8,1:12, and the resource ratio of the dedicated servers is 1:1,1:2,1:3,1:4,1:8,1:12. Different memory ratios are set for different proprietary servers, which are set before proprietary server resources are acquired.
For example, the memory ratio of the dedicated server a to the dedicated server b is set to be 1:1,1:2,1:3,1:4,1:8, and 1:12. The dedicated servers with different memory are preset, for example, the access amount of the application system A is 1000, the access amount of the application system B is 2000, the access amount ratio is 1:2, and the dedicated server resources with corresponding memory proportion can be obtained according to the access amount ratio, and the resources can be directly obtained because the dedicated servers with different proportions of 1:1,1:2,1:3,1:4,1:8,1:12 and the like are preset. The daily access amount of the application system A is larger, the daily access amount of the application system B is smaller, the dedicated server resources with larger memory can be allocated to the application system A according to a predefined CPU memory ratio strategy, the dedicated server resources with smaller memory are allocated to the application system B, so that the dedicated server resources in the dedicated area can be reasonably and fully utilized, if the dedicated server resources with smaller memory are allocated to the application system with large daily access amount, the speed of acquiring data by the application system is influenced because of smaller memory, and if the resources of the dedicated server with large memory are allocated to the application system with small daily access amount, the waste of the memory resources can be caused.
Step S40, judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource;
in this embodiment, the daily maximum access amount of each application system is approximately calculated, the maximum access amounts of each application system are summed, and then the total number of servers required for the exclusive area of the resource pool is calculated according to the processing capacity of a single server and the redundancy policies of different application systems of different enterprises. The specific calculation formula is as follows: the approximate calculation can be performed as follows: daily maximum access = 150% of total active users of the application system, maximum access number associated with the service, required number of exclusive servers = daily maximum access/maximum access number that a single exclusive server can withstand. The preset threshold of the receivable access amount of the dedicated server resource may be set according to the daily maximum access amount of the application system, for example, the daily maximum access amount of the a application system is 1000, and then the dedicated server resource satisfying 1000 may be set by the preset access amount. And distributing proper number of proprietary servers for each application system according to a predefined CPU memory ratio strategy based on the daily access ratio of each application system.
In addition, each dedicated server may be assigned a weight based on the daily access duty cycle of the respective application system. For example, the weights may be defined by the amount of access of the application system. For example, the daily access amount of the application system a is 40, the daily access amount of the application system b is 60, then the weight of the server number a is 40, and the weight of the server number b is 60, which means that the number of server resources a is greater than the number of server resources b in the case where the total server number is fixed. In the embodiment, only the daily maximum access amount is calculated, in an actual scene, the actual access amount is dynamically changed, the actual access amount can be larger than the daily maximum access amount or smaller than the daily maximum access amount, and in the daily case, the exclusive area allocates exclusive server resources for each application system in proportion according to the access amount ratio of each application system and the requirement on the system performance so as to meet the daily access of each system. However, since daily access is changed, there may be a scenario in which the access amount of the current application system exceeds a preset threshold of the receivable access amount of the dedicated server resource, so in this embodiment, for any one application system, a pre-developed monitor program is used to monitor the change of the access amount of the application system to determine whether the current access amount exceeds the preset threshold.
In addition, the following is followed before: and monitoring the daily access quantity of the application system, and obtaining the daily access quantity duty ratio of each application system. The daily access amount of the application system can be monitored by a pre-developed monitoring system, and the monitored items comprise: number of independent visitors; repeating visitor number; page browsing number; page view number for each visitor; statistical indicators of certain specific files or pages, such as the number of page displays and the number of file downloads. Based on the daily access volume ratio of each application system, the dedicated server resources are distributed to each application system according to the daily access volume ratio, for example, the daily access volume of the application system A is 1000 and the daily access volume of the application system B is 2000 through analysis of the logs of the application system, the daily transaction volume ratio of the application system A to the application system B is 1:2, and the dedicated server resources with the memory ratio of 1:2 can be used according to the transaction volume of 1:2. The higher the daily access of an application system, the greater the number of resources that need to be allocated to the dedicated server.
Step S50, if the current access amount of the application system exceeds the preset threshold of the receivable access amount of the exclusive server resource, expanding the exclusive server resource in the exclusive area according to the access amount of the current application system and using the expanded exclusive server resource, and if the current access amount of the application system does not exceed the preset threshold of the receivable access amount of the exclusive server resource, returning to step S40.
In this embodiment, if the access amount of the current application system exceeds the preset threshold value of the number of dedicated server resources, in order to ensure that a suitable number of dedicated server resources can be obtained, a suitable number of dedicated server resources can be used according to the current actual access amount, for example, when the application system of the first bank is at the peak, its service throughput is 1000 ten thousand flow per day, and currently, due to the increase of loan service of the application system caused by the decrease of tax rate, the original dedicated server is insufficient to satisfy the current access amount, so that a suitable number of dedicated server resources needs to be used according to the current actual access amount to satisfy the current requirement. In this embodiment, a certain amount of dedicated server resources are pre-stored in the dedicated area in the resource pool according to a preset rule, but in an actual scenario, the pre-stored dedicated server resources may not meet the actual access amount, so a suitable amount of dedicated server resources may be newly built through a pre-preset custom mirror image to meet the requirement of the actual scenario, if the current access amount of the application system exceeds the preset threshold of the receivable access amount of the dedicated server resources, step S40 is returned, that is, whether the current access amount of the application system exceeds the preset threshold of the receivable access amount of the dedicated server resources is determined.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of a cloud-dedicated server resource management method according to the present invention. In this embodiment, the cloud-dedicated server resource management method includes the following steps:
step S60, a mixing area and an exclusive area are divided in a public resource pool according to a preset rule, wherein the exclusive area is used for storing resources of an exclusive server;
in this embodiment, the preset rule refers to dividing regions of different sizes according to the access amount of each application system in advance, naming different regions according to the nature of server resources stored in each region, for example, if the resources of the server in the region a are dedicated for access by the application system a, the region a may be named as a dedicated region, and if the resources of the server in the region B are available for access by all application systems, this may be named as a mixed region. The exclusive area is an area for storing exclusive server resources.
The exclusive area is an area for storing exclusive server resources, and the mixed area is an area for storing shared server resources, and the mixed area and the exclusive area can be divided in a physical isolation or logical isolation mode.
Step S70, through a preset formula: the number of dedicated server resources = daily maximum access/single dedicated server resource, the number of dedicated server resources required to be stored in the dedicated area is calculated, and the number of dedicated server resources are stored in the dedicated area.
In this embodiment, the following formula is preset: the number of dedicated server resources = daily maximum access/single dedicated server resource, and the number of dedicated server resources required to be stored in the dedicated area can be obtained by calculating, for example, in the dedicated area a, the total number of dedicated server resources a and dedicated server resources b is 100, and the ratio of the number of dedicated server resources a to the number of dedicated server resources b is 2:3; in the resource pool B, the total number of the dedicated server resources A and the dedicated server resources B is 1000, and the ratio of the dedicated server resources A to the dedicated server resources B is 2:3; the ratio of the resources of the first server to the number of resources of the second server is 3:2; then, the number of resources of the first server and the second server in the resource pool a is respectively: 40. 60; b: 400. 600.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of a cloud-dedicated server resource management method according to the present invention. In this embodiment, before step S70 in fig. 3, the method further includes the following steps:
Step S80, through the formula: daily maximum access amount = maximum access amount associated with service of 150% total active users of the application system, and daily maximum access amount of each application system is calculated.
In this embodiment, the preset method refers to calculating the maximum access amount of each application system by adopting a preset formula, and when calculating the daily maximum access amount of the application system, the calculation can be performed by the following formula, where the daily maximum access amount=the maximum access number associated with the service of 150% of the total active users of the application system. For example, if the daily maximum access amount of the application system a is 100 and the daily maximum access amount of the application system b is 500, the sum of the accesses is 500.
Referring to fig. 5, fig. 5 is a flowchart illustrating a fourth embodiment of a cloud-dedicated server resource management method according to the present invention. In this embodiment, after step S10 in fig. 2, the following steps are further included:
step S90, setting a self-defined monitoring index for a dedicated server in the dedicated area;
in this embodiment, the preset custom monitoring index means includes: CPU utilization rate, CPU average load, intranet packet output quantity, intranet bandwidth and the like, wherein the CPU utilization rate, namely whether the maximum request quantity of an application system to the exclusive server resource reaches 90% or 100% of the number of the exclusive server resource, is formulated as 90% so as to reserve 10% of the resource, so that when the demand quantity of the application system to the exclusive server resource is increased rapidly, buffering time can be provided, and the peak value of the exclusive server resource available resource can be prevented from being reached in a short time. The 100% is formulated to determine whether the demand of the application system for dedicated server resources reaches a peak.
Step S100, judging whether the operation parameters of the exclusive server in the exclusive area exceed the custom monitoring index;
in this embodiment, the operation parameters of the dedicated server need to be monitored in real time through a preset cloud server monitoring component, and an API interface for calling various operation parameters is preset on the cloud server monitoring component, where the operation parameters include: CPU utilization, namely the percentage of the CPU in a non-idle state, is calculated by taking/proc/stat data; the average load of the CPU, namely, the first column data of 1 minute of fetch/proc/loadavg is 100, and the cloud monitoring 5-minute granularity data is 1 minute data to obtain the maximum value; the intranet output bandwidth is the average per second output flow of the intranet network card; the internal network bandwidth, namely the average per second inflow of the internal network card; the packet output of the intranet is the average packet output per second of the intranet network card. Each index has a standard value, namely a self-defined monitoring index, and the acquired operation index of the dedicated server in the dedicated area is compared with the self-defined monitoring index to judge whether the operation index of the dedicated server in the dedicated area exceeds the self-defined monitoring index.
Step S110, if the operation parameters of the exclusive server in the exclusive area exceed the self-defined monitoring index, determining that the operation of the exclusive server in the exclusive area is abnormal, and if not, returning to step S100.
In this embodiment, in order to certainly prove that each application system can acquire the dedicated server resource in time, it is necessary to determine whether the demand of the application system for the dedicated server resource reaches a peak value, and if so, it is indicated that the server is in a state of providing resources under high load, so that the server can be considered to have a possibility of failing to provide corresponding resources for each application system in time, and therefore, the server in such a state can be determined as a dedicated server that cannot operate normally.
Referring to fig. 6, fig. 6 is a flowchart illustrating a fifth embodiment of a cloud-dedicated server resource management method according to the present invention. In this embodiment, before step S30 in fig. 2, the method further includes the following steps:
step S120, generating a custom mirror image corresponding to the exclusive server resource according to the exclusive server resource allocation parameter, wherein the custom mirror image is used for expanding new exclusive server resources according to the exclusive server resource;
in this embodiment, a template for expanding the dedicated server resource, that is, a custom image, is set according to the existing dedicated server resource, and resources related to an operation instruction of an operating system, a preloaded application program and an operating environment are set in the template, and when a specific condition is satisfied, for example, when the demand of the current application system for the dedicated server resource continuously peaks, the custom image projects the initial dedicated server resource again, so as to complete expansion. In order to enable the expanded dedicated server resources to meet the requirements of actual scenes, a custom rule, namely, a custom mirror image can be set, for example, dedicated server resources are expanded according to the proportion of 1:1, 1:2 or 1:3, if the demand of the dedicated server resources is more for some dedicated server resources and the demand of the dedicated server resources is less for other dedicated server resources, more server resources can be expanded for the dedicated server resources with more demands according to the custom rule, and the server resources with less demands can be expanded for the dedicated server resources with less demands, so that the space occupying a dedicated area can be reduced, and meanwhile, the running speed of the server can be improved.
For example, the initial dedicated server projects a part of resources according to the ratio of the preset resource quantity (for example, 1:1,1:2, 1:3), for example, 3 dedicated server resources of first class exist in the dedicated area, but the current demand for the resources is larger, the current demand for resources can be calculated according to 1 by mirroring: 1, the initial 3 dedicated server resources of the first class are developed, and the 3 dedicated server resources are developed additionally.
The rule of expanding the exclusive server resources in the exclusive area through the preset user-defined mirror image according to the actual access quantity of the user to the application system can be preset, so that the exclusive server resources with different proportions and sizes can be expanded according to different access quantity.
Step S130, obtaining the current access quantity of each application system, and calculating the ratio of the current access quantity of each application system;
in this embodiment, in order to obtain the ratio of the current access amounts of the application systems, the current access amounts of the application systems need to be obtained first, and the ratio of the current access amounts of the application systems needs to be calculated according to the current access amounts of the application systems, for example, the current access amount of the financial application system is x, the current access amount of the human resource management system is y, and then the ratio of the current access amounts of the financial application system and the human resource management system is p=x/y. The ratio of the current access amounts of each application system needs to be calculated to expand the new dedicated server resources according to the same ratio according to the ratio of the access amounts, for example, the ratio is 1:2, it is explained that the current access amount of the human resource management system is higher, so when expanding the new dedicated server resource, it needs to be as follows 1:2 expand new resources.
And step S140, expanding new exclusive server resources according to the current access quantity of the application system and the ratio of the current access quantity of each application system through the custom mirror image.
In this embodiment, only when the current access amount of the application system is larger and reaches the maximum value that the dedicated server resource can provide resources, the new dedicated server resource is expanded through the custom mirror image in the dedicated area, so that the current access amount of the application system is obtained in real time, and the new dedicated server resource is expanded according to the access amount.
The expansion process is that when the demand of the application system for the exclusive server resource reaches 90% of the maximum available amount of the exclusive server resource, the exclusive server resource is expanded according to the preset custom mirror image according to the proportion of 1:1, 1:2 or 1:3.
Referring to fig. 7, fig. 7 is a flowchart illustrating a method for managing cloud-dedicated server resources according to a sixth embodiment of the present invention. In this embodiment, after step S50 in fig. two, the method further includes the following steps:
step S150, dividing the new exclusive server resources into one or more new sub-exclusive server resources according to the type of the demand of the application system for the new exclusive server resources;
In this embodiment, the types of dedicated server resources include: parameter value classes of functions, value classes of local variables, and constant string classes. The requirements of different application systems for the resource types are different, so in order to further refine the new dedicated server resources, in this embodiment, the new dedicated server resources need to be divided into one or more new sub-dedicated server resources according to the requirements of the application systems for the different resource types.
Step S160, obtaining the actual demand of the application system for the new sub-exclusive server resource;
in this embodiment, the actual demand of the application system for the new sub-dedicated server resource is obtained, for example, according to the type of the resource, the actual demand may be divided into a parameter value class, a value class of a local variable, and a constant string class of a function.
Step S170, judging whether the ratio of the actual demand of the new sub-dedicated server resources to the maximum value of the number of the new dedicated server resources is smaller than a preset minimum ratio;
in this embodiment, the maximum value of the number of new dedicated server resources is calculated by the summation formula, for example, the number of the first sub-dedicated server resources is 1, the number of the second sub-dedicated server resources is 2, and the maximum value of the number of dedicated server resources is 3.
In order to reflect the utilization rate of the application system to the new sub-dedicated server resources, it is therefore necessary to determine, based on the actual demand of the application system to the new sub-dedicated server resources, whether the ratio of the actual demand of the new sub-dedicated server resources to the maximum value of the number of new dedicated server resources is smaller than a preset minimum ratio. For example, a preset minimum ratio of 20% and a calculated ratio of 1% indicates that the new sub-dedicated server resource is low in utilization.
Step S180, if the ratio of the actual demand of the new sub-dedicated server resource to the maximum value of the new dedicated server resource is smaller than the preset minimum ratio, the new sub-dedicated server resource is transferred out of the dedicated area according to the actual demand of the application system for the new sub-dedicated server resource, and if not, step S170 is returned.
In this embodiment, the transfer policy refers to transferring the new sub-dedicated server resource out of the dedicated area when the utilization rate of the application system on the new sub-dedicated server resource does not reach a preset minimum value. For the new sub-dedicated server resource with lower utilization rate, the resource can be transferred to the mixing area for all application systems according to the actual demand of the application system for the new sub-dedicated server resource, so that the resource waste is avoided.
The invention further provides a cloud exclusive server resource management device.
Referring to fig. 8, fig. 8 is a schematic functional block diagram of a first embodiment of a cloud-dedicated server resource management device according to the present invention. In this embodiment, the cloud-dedicated server resource management device includes:
a first obtaining module 10, configured to obtain operation information of an application system;
a first judging module 20, configured to judge whether the application system is accessed according to the running information;
the second obtaining module 30 is configured to obtain, if the application system is accessed, a current access amount of the application system, and obtain, according to a predefined CPU memory ratio policy, an exclusive server resource from an exclusive area of the common resource pool;
A second judging module 40, configured to judge whether the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource;
the first expansion module 50 is configured to expand and use a new dedicated server resource in the dedicated area if the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource.
In this embodiment, the first obtaining module 10 is configured to obtain operation information of an application system; the first judging module 20 is configured to judge whether the application system is accessed according to the running information; the second obtaining module 30 is configured to obtain, if the application system is accessed, a current access amount of the application system, and obtain, according to a predefined CPU memory ratio policy, an exclusive server resource from an exclusive area of the common resource pool; the second determining module 40 is configured to determine whether the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource; the first expansion module 50 is configured to expand and use a new dedicated server resource in the dedicated area if the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource. The number and the proportion of the exclusive server resources can be timely adjusted according to the number of the accesses of the user to the application system through the modules, the extreme utilization of the resources is met, the comprehensive management of the exclusive server is realized, the exclusive server can be more suitable for the requirements of actual scenes, and the user experience can be improved.
Fig. 9 is a schematic functional block diagram of a second embodiment of a cloud-dedicated server resource management device according to the present invention. In this embodiment, the cloud-dedicated server resource management device includes:
a first obtaining module 10, configured to obtain operation information of an application system;
a first judging module 20, configured to judge whether the application system is accessed according to the running information;
the second obtaining module 30 is configured to obtain, if the application system is accessed, a current access amount of the application system, and obtain, according to a predefined CPU memory ratio policy, an exclusive server resource from an exclusive area of the common resource pool;
a second judging module 40, configured to judge whether the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource;
the first expansion module 50 is configured to expand and use a new dedicated server resource in the dedicated area if the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource;
the first dividing module 60 is configured to divide a mixing area and an exclusive area in the public resource pool according to a preset rule, where the exclusive area is used for storing exclusive server resources;
A calculation module 70, configured to calculate the following formula by: number of dedicated server resources = daily maximum access/single dedicated server resource, calculating the number of dedicated server resources required to be stored in the dedicated area, and storing the number of dedicated server resources in the dedicated area.
In this embodiment, the first obtaining module 10 is configured to obtain operation information of an application system; the first judging module 20 is configured to judge whether the application system is accessed according to the running information; the second obtaining module 30 is configured to obtain, if the application system is accessed, a current access amount of the application system, and obtain, according to a predefined CPU memory ratio policy, an exclusive server resource from an exclusive area of the common resource pool; the second determining module 40 is configured to determine whether the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource; the first expansion module 50 is configured to expand and use a new dedicated server resource in the dedicated area if the current access amount of the application system exceeds a preset threshold of the receivable access amount of the dedicated server resource; the first partitioning module 60 is configured to partition a mixing area and an exclusive area in the public resource pool according to a preset rule, where the exclusive area is used for storing exclusive server resources; the calculation module 70 is configured to calculate a value by a preset formula: number of dedicated server resources = daily maximum access/single dedicated server resource, calculating the number of dedicated server resources required to be stored in the dedicated area, and storing the number of dedicated server resources in the dedicated area. The number of the required exclusive server resources can be calculated through the modules, and the number of the exclusive server resources can be stored in the exclusive area, so that the management of the exclusive server resources is facilitated.
The invention also provides a computer readable storage medium.
In this embodiment, the computer readable storage medium stores a cloud-dedicated server resource management program, where the cloud-dedicated server resource management program implements the steps of the cloud-dedicated server resource management method described in any one of the embodiments above when executed by a processor.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM), comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server or a network device, etc.) to perform the method according to the embodiments of the present invention.
While the embodiments of the present invention have been described above with reference to the drawings, the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many modifications may be made thereto by those of ordinary skill in the art without departing from the spirit of the present invention and the scope of the appended claims, which are to be accorded the full scope of the present invention as defined by the following description and drawings, or by any equivalent structures or equivalent flow changes, or by direct or indirect application to other relevant technical fields.
Claims (8)
1. The cloud exclusive server resource management method is characterized by comprising the following steps of:
acquiring operation information of an application system;
judging whether the application system is accessed according to the running information;
if the application system is accessed, acquiring the current access quantity of the application system, and acquiring exclusive server resources from an exclusive area of a public resource pool according to a predefined CPU memory ratio strategy;
judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource;
if the current access amount of the application system exceeds the preset threshold of the receivable access amount of the exclusive server resource, expanding and using a new exclusive server resource in the exclusive area according to the current access amount of the application system;
dividing the new exclusive server resources into one or more new sub-exclusive server resources according to the type of the demand of the application system for the new exclusive server resources;
acquiring the actual demand of the application system on the new sub-dedicated server resource;
judging whether the ratio of the actual demand of the new sub-dedicated server resources to the maximum value of the number of the new dedicated server resources is smaller than a preset minimum ratio;
If yes, transferring the new sub-exclusive server resource out of the exclusive area according to the actual demand of the application system for the new sub-exclusive server resource;
before the step of acquiring the current access amount of the application system and acquiring the exclusive server resources in the exclusive area according to the predefined CPU memory ratio strategy, the method further comprises the following steps:
generating a custom image corresponding to the exclusive server resource according to the exclusive server resource allocation parameter, wherein the custom image is used for expanding new exclusive server resource according to the exclusive server resource;
acquiring the current access quantity of each application system, and calculating the ratio of the current access quantity of each application system;
and expanding new exclusive server resources according to the current access quantity of the application system and the ratio of the current access quantity of each application system through the custom mirror image.
2. The cloud-dedicated server resource management method of claim 1, further comprising, before the step of acquiring the operation information of the application system, the steps of:
dividing a mixing area and an exclusive area in a public resource pool according to a preset rule, wherein the exclusive area is used for storing exclusive server resources;
By presetting a formula: number of dedicated server resources = daily maximum access/single dedicated server resource, calculating the number of dedicated server resources required to be stored in the dedicated area, and storing the number of dedicated server resources in the dedicated area.
3. The cloud-specific server resource management method of claim 2, wherein, in the passing of the preset formula: the method comprises the steps of calculating the number of the exclusive server resources required to be stored in the exclusive area, and storing the number of the exclusive server resources in the exclusive area, wherein the number of the exclusive server resources = daily maximum access amount/single exclusive server resource, and the method further comprises the following steps:
by the formula: daily maximum access amount = maximum access amount associated with service of 150% total active users of the application system, and daily maximum access amount of each application system is calculated.
4. The cloud-dedicated server resource management method of claim 1, further comprising, after the step of acquiring the operation information of the application system, the steps of:
setting a self-defined monitoring index for a proprietary server in the proprietary region;
judging whether the operation parameters of the exclusive server in the exclusive area exceed the custom monitoring index;
And if the operation parameters of the exclusive server in the exclusive area exceed the self-defined monitoring index, judging that the operation of the exclusive server in the exclusive area is abnormal.
5. A cloud-specific server resource management apparatus, wherein the cloud-specific server resource management apparatus performs the cloud-specific server resource management method according to any one of claims 1 to 4, the cloud-specific server resource management apparatus comprising:
the first acquisition module is used for acquiring the running information of the application system;
the first judging module is used for judging whether the application system is accessed according to the running information;
the second acquisition module is used for acquiring the current access quantity of the application system if the application system is accessed, and acquiring exclusive server resources from an exclusive area of a public resource pool according to a predefined CPU memory ratio strategy;
the second judging module is used for judging whether the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resource;
and the first expansion module is used for expanding and using new exclusive server resources in the exclusive area according to the current access quantity of the application system if the current access quantity of the application system exceeds a preset threshold value of the receivable access quantity of the exclusive server resources.
6. The cloud-specific server resource management apparatus of claim 5, further comprising the following modules:
the first division module is used for dividing a mixed area and an exclusive area in the public resource pool according to a preset rule, and the exclusive area is used for storing exclusive server resources;
the calculation module is used for calculating the formula by presetting: number of dedicated server resources = daily maximum access/single dedicated server resource, calculating the number of dedicated server resources required to be stored in the dedicated area, and storing the number of dedicated server resources in the dedicated area.
7. Cloud-specific server resource management device, characterized in that it comprises a memory, a processor and a cloud-specific server resource management program stored on the memory and executable on the processor, which cloud-specific server resource management program, when executed by the processor, implements the steps of the cloud-specific server resource management method according to any of claims 1-4.
8. A computer readable storage medium, wherein a cloud-specific server resource management program is stored on the computer readable storage medium, which when executed by a processor, implements the steps of the cloud-specific server resource management method according to any of claims 1-4.
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| CN114416274A (en) * | 2021-10-18 | 2022-04-29 | 徐州医科大学 | Virtual resource management system and method thereof |
| CN114500221B (en) * | 2021-12-28 | 2024-04-26 | 阿里巴巴（中国）有限公司 | Cloud system, public cloud management and control method, public cloud management and control equipment and storage medium |
| CN114896296B (en) * | 2022-02-24 | 2023-08-11 | 浙江华通云数据科技有限公司 | Cloud service resource allocation method and device, electronic equipment and computer readable medium |
| CN117707687A (en) * | 2022-09-07 | 2024-03-15 | 华为云计算技术有限公司 | Capacity management method and related system |
| CN116566844B (en) * | 2023-07-06 | 2023-09-05 | 湖南马栏山视频先进技术研究院有限公司 | Data management and control method based on multi-cloud fusion and multi-cloud fusion management platform |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104270417A (en) * | 2014-09-12 | 2015-01-07 | 湛羽 | Comprehensive service providing system and method based on cloud computing |
| CN106254328A (en) * | 2016-07-27 | 2016-12-21 | 杭州华为数字技术有限公司 | A kind of access control method and device |
| WO2019007420A1 (en) * | 2017-07-07 | 2019-01-10 | 中兴通讯股份有限公司 | Load balance scheduling method and device, and computer readable storage medium |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7353538B2 (en) * | 2002-11-08 | 2008-04-01 | Federal Network Systems Llc | Server resource management, analysis, and intrusion negation |
| US20170230419A1 (en) * | 2016-02-08 | 2017-08-10 | Hytrust, Inc. | Harmonized governance system for heterogeneous agile information technology environments |
-
2019
- 2019-05-17 CN CN201910413431.3A patent/CN110308985B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104270417A (en) * | 2014-09-12 | 2015-01-07 | 湛羽 | Comprehensive service providing system and method based on cloud computing |
| CN106254328A (en) * | 2016-07-27 | 2016-12-21 | 杭州华为数字技术有限公司 | A kind of access control method and device |
| WO2019007420A1 (en) * | 2017-07-07 | 2019-01-10 | 中兴通讯股份有限公司 | Load balance scheduling method and device, and computer readable storage medium |
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