CN115604276B - Intelligent management system based on server resource utilization - Google Patents
Intelligent management system based on server resource utilization Download PDFInfo
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- 238000013468 resource allocation Methods 0.000 claims abstract description 44
- 238000007726 management method Methods 0.000 claims abstract description 20
- 238000007405 data analysis Methods 0.000 claims abstract description 15
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000000034 method Methods 0.000 description 5
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/101—Server selection for load balancing based on network conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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Abstract
The invention relates to an intelligent management system based on server resource utilization, in particular to the technical field of educational software design, which comprises the following steps: the data acquisition module is used for acquiring the resource demand of the client, the network fluency, the historical version of the server and the running state of the current version; the data storage module is connected with the data acquisition module and used for storing the historical version and the running state of the existing version of the server; the data analysis module is respectively connected with the data acquisition module and the data storage module and is used for reasonably distributing resources of the client; when the data comparison unit judges that the residual capacity of the server cannot completely bear the resource demand, whether the enabled resource can be released is determined according to the comparison result, and when the enabled resource can be released is determined, the resource allocation amount is adjusted according to the utilization rate difference; the invention effectively adjusts the server side through the feedback of the client side, thereby reasonably distributing the resource distribution amount.
Description
Technical Field
The invention relates to the technical field of educational software design, in particular to an intelligent management system based on server resource utilization.
Background
With the increasing innovation of science and technology, education and teaching have been changed from the traditional on-line mode to the convenient and fast on-line mode, but as the resource demand of the client to the server often exceeds the original resource capacity of the server, the client is delayed or crashed when acquiring corresponding services, so that the reasonable allocation of the resources required by the client is the most important.
Chinese patent publication No.: CN111274022A discloses a server resource allocation method and system, including: the method comprises the steps that when a management node receives a resource allocation request sent by a client, first resource information of a client request resource is obtained; the management node acquires a server resource which conforms to the first resource information from an idle resource of a resource pool, and determines a server node to which a sub-server resource forming the server resource belongs, wherein the server resource is formed by at least one sub-server resource; and the management node returns the second resource information of the sub server resource and the node information of the server node to the client, and sends the second resource information and the client information of the client to the corresponding server node so as to allocate the server resource to the client for use. By adopting the technical scheme, the embodiment of the invention can improve the performance of the server, reduce the cost and realize the old utilization of the server; therefore, the server resource allocation method and the server resource allocation system have the problem that the server cannot be effectively adjusted through the feedback of the client, so that the resource allocation amount is reasonably adjusted.
Disclosure of Invention
Therefore, the invention provides an intelligent management system based on server resource utilization, which is used for overcoming the problem that the server cannot be effectively adjusted through the feedback of a client in the prior art, so that the resource distribution amount is reasonably adjusted.
In order to achieve the above object, the present invention provides an intelligent management system based on server resource utilization, comprising:
the data acquisition module is used for acquiring the resource demand of the client, the network fluency, the historical version of the server and the running state of the current version;
the data storage module is connected with the data acquisition module and used for storing the historical version and the running state of the existing version of the server;
the data analysis module is respectively connected with the data acquisition module and the data storage module and is used for distributing resources of the client;
when the data comparison unit of the data analysis module judges that the residual capacity of the server cannot completely bear the resource demand of the client, the data operation unit of the data analysis module determines the utilization rate of the started resource of the client and compares the utilization rate with a preset utilization rate, and the data comparison unit determines whether the started resource can be released according to a comparison result;
when the data comparison unit determines that the started resources are releasable, the data operation unit calculates a utilization ratio difference between the utilization ratio of the started resources of the client and a preset utilization ratio, and the allocation control unit of the data analysis module is used for adjusting the resource allocation amount of the client according to the utilization ratio difference.
Further, the data operation unit is configured to set Q = sxi according to a resource demand Q of the client, the data comparison unit compares the resource demand Q with a preset resource demand Q1, and the allocation control unit determines whether the remaining capacity of the server can completely bear the resource demand according to a comparison result, where S is a request number of the client, I is a request data amount of the client,
if Q is less than or equal to Q1, the allocation control unit judges that the residual capacity of the service end can completely bear the resource demand;
if Q is larger than Q1, the allocation control unit judges that the residual capacity of the service end can not completely bear the resource demand.
Further, when the allocation control unit determines that the remaining capacity of the server can completely bear the resource demand, the data operation unit calculates a demand difference Δ Q between the resource demand Q of the client and a preset resource demand Q1, sets Δ Q = Q1-Q, the data comparison unit compares the demand difference with a preset demand difference, the allocation control unit determines the resource allocation of the client according to the comparison result,
wherein the distribution control unit is provided with a first preset demand difference value delta Q1, a second preset demand difference value delta Q2, a first resource distribution quantity W1, a second resource distribution quantity W2 and a third resource distribution quantity W3, the delta Q1 is less than the delta Q2, the W1 is less than the W2 and less than the W3,
if delta Q is less than or equal to delta Q1, the allocation control unit determines that the resource allocation amount of the client is W3;
if delta Q1 is smaller than delta Q and is less than or equal to delta Q2, the allocation control unit determines that the resource allocation amount of the client is W2;
if Δ Q > Δq2, the allocation control unit determines that the resource allocation amount of the client is W1.
Further, the data obtaining module obtains the running status of the historical versions, the data operation unit is configured to determine running exception rates Y of the historical versions according to the running status of the historical versions, and set Y = E/Ez, the data comparison unit compares the running exception rates Y of the historical versions with a preset running exception rate Y1, and the allocation control unit determines whether to allocate resources to the client according to a comparison result, where E is the number of times that the historical versions run abnormally, and Ez is the total number of times that the historical versions run,
if Y is less than or equal to Y1, the allocation control unit judges that the resource allocation is carried out on the client;
and if Y is larger than Y1, the allocation control unit judges that the resource allocation is not carried out on the client.
Further, when the allocation control unit determines that the resource allocation is not performed on the client, the data operation unit calculates the network fluency L of the client, and sets L = F/T, the data comparison unit compares the network fluency L with a preset network fluency L1, the allocation control unit determines whether the network fluency is qualified according to the comparison result, wherein F is the number of dropped frames of the resource, and T is the duration of starting the resource,
if L is less than or equal to L1, the distribution control unit preliminarily judges that the network fluency is qualified;
and if L is larger than L1, the distribution control unit judges that the network fluency is unqualified.
Further, when the distribution control unit judges that the network fluency is not qualified, the data operation unit calculates a fluency difference value DeltaL between the network fluency L of the client and a preset network fluency L1, sets DeltaL = | L1-L |, the data comparison unit compares the fluency difference value with the preset fluency difference value, the distribution control unit determines to increase the number of network channels according to the comparison result,
wherein the distribution control unit is provided with a first preset fluency difference Delta L1, a second preset fluency difference Delta L2, a first numerical value V1, a second numerical value V2 and a third numerical value V3, delta L1 is less than Delta L2, V1 is less than V2 and less than V3,
if the delta L is less than or equal to the delta L1, the distribution control unit determines that the number of the added network channels is V1;
if delta L1 is less than delta L and less than or equal to delta L2, the distribution control unit determines that the number of the added network channels is V2;
if Δ L > Δl2, the allocation control unit determines the number of added network channels to be V3.
Further, when the distribution control unit preliminarily determines that the network fluency is qualified, the distribution control unit is configured to adjust the network rate according to the network fluency difference, and set the adjusted network rate as a, a = A0 × Ki, where A0 is an initial network rate and Ki is an adjustment coefficient of the network rate, and i =1,2,3 is set.
Further, when the allocation control unit determines that the remaining capacity of the server cannot completely bear the resource demand, the data operation unit calculates a utilization rate P of the enabled resource of the client, sets P = N/Nt, the data comparison unit compares the utilization rate P with a preset utilization rate P1, and the allocation control unit determines whether the enabled resource is releasable according to a comparison result, where N is the number of times the client has enabled the resource, nt is the total duration of the client for enabling the resource,
if P is less than or equal to P1, the allocation control unit determines that the enabled resources are releasable;
if P > P1, the allocation control unit determines that the enabled resources are not releasable.
Further, when the allocation control unit determines that the enabled resource is releasable, the data operation unit calculates a utilization difference Δ P between a utilization rate P of the enabled resource of the client and a preset utilization rate P1, and sets Δ P = P1-P, the allocation control unit is configured to adjust the resource allocation amount of the client according to the utilization difference, and set the adjusted resource allocation amount as W4, W4= Wj × Zn, where Zn is an adjustment coefficient of the resource allocation amount, and sets n =1,2,3, and j =1,2,3.
Further, when determining that the enabled resources are not releasable, the allocation control unit sets a priority for allocating resources according to the sequence of the request time points of the client.
Compared with the prior art, the method has the advantages that when the data acquisition module acquires the resource demand of the client, the data acquisition module analyzes the resource demand of the client by determining the request quantity of the client and the request data quantity of the client, and judges whether the server can completely bear the load or not by comparing the resource demand with the preset resource demand, so that the reasonable allocation of resources is further improved.
Furthermore, the resource allocation amount of the client is judged according to the comparison result by calculating the difference value between the resource demand of the client and the preset resource demand, comparing the difference value between the demand and the preset demand, and the reasonable allocation of the resource is further improved.
Furthermore, the invention determines the abnormal operation rate of the historical version by analyzing the number of times of abnormal operation and the total number of times of operation in the historical version, judges whether to allocate resources to the client side according to the abnormal operation rate, allocates resources to the client side if the abnormal operation is accidental, and does not allocate resources to the client side if the abnormal operation of the historical version is majority, thereby further improving the reasonable allocation of resources.
Further, the network fluency of the client is determined by analyzing the frame dropping times and the resource starting duration of the resources and is used as a characteristic parameter for evaluating whether the network fluency is qualified, the network fluency is judged to be unqualified when the frame dropping times reach a preset value in the resource starting time, and the network fluency is preliminarily judged to be qualified when the frame dropping times do not reach the preset value in the resource starting time, so that the reasonable allocation of the resources is further improved.
Further, when the network fluency is judged to be unqualified, the network channels are added for processing, and when the network fluency is preliminarily judged to be qualified, the condition of poor network speed is processed by adjusting the network speed, so that the reasonable distribution of resources is further improved.
Furthermore, the method analyzes whether the enabled resource can be released or not by determining the using times of the enabled resource of the client and the total time for enabling the resource by the client, calculates the utilization rate of the enabled resource to be used as a characteristic parameter for evaluating whether the enabled resource can be released or not, determines that the enabled resource cannot be released if the utilization rate of the enabled resource reaches a preset value, and determines that the enabled resource can be released if the utilization rate of the enabled resource does not reach the preset value, thereby further improving the reasonable allocation of the resource.
Further, when the started resource is determined to be releasable, the resource allocation amount of the client is adjusted by calculating the difference value between the utilization rate of the started resource and the preset utilization rate, so that the resource demand of the client is reasonably allocated, the allocation amount of the resource with lower utilization rate is reduced, and the reasonable allocation of the resource is further improved.
Drawings
FIG. 1 is a logic block diagram of an intelligent management system based on server resource utilization according to the present invention;
FIG. 2 is a logic block diagram of a data analysis module in the intelligent management system based on server resource utilization according to the present invention;
fig. 3 is a flowchart of the intelligent management system based on server resource utilization according to the present invention.
Detailed Description
In order that the objects and advantages of the invention will be more clearly understood, the invention is further described below with reference to examples; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only for explaining the technical principle of the present invention, and do not limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1-3, fig. 1 is a logic block diagram of an intelligent management system based on server resource utilization according to the present invention; FIG. 2 is a logic block diagram of a data analysis module in the intelligent management system based on server resource utilization according to the present invention; fig. 3 is a flowchart of the intelligent management system based on server resource utilization according to the present invention.
An intelligent management system based on server resource utilization, comprising:
the data acquisition module is used for acquiring the resource demand of the client, the network fluency, the historical version of the server and the running state of the current version;
the data storage module is connected with the data acquisition module and used for storing the historical version and the running state of the existing version of the server;
and the data analysis module is respectively connected with the data acquisition module and the data storage module and is used for distributing resources of the client.
The embodiment of the invention comprises a client, a server and a Web front end.
In the embodiment of the invention, the server side automatically updates the version and applies the latest version as the current version, and the client side can independently select to operate the current version or the historical version.
Specifically, the data operation unit is configured to set Q = sxi according to a resource demand Q of the client, the data comparison unit compares the resource demand Q with a preset resource demand Q1, and the allocation control unit determines whether the remaining capacity of the server can completely bear the resource demand according to a comparison result, where S is a request number of the client and I is a request data amount of the client,
if Q is less than or equal to Q1, the allocation control unit judges that the residual capacity of the service end can completely bear the resource demand;
if Q is larger than Q1, the allocation control unit judges that the residual capacity of the service end can not completely bear the resource demand.
Specifically, when the allocation control unit determines that the remaining capacity of the server can completely bear the resource demand, the data operation unit calculates a demand difference Δ Q between the resource demand Q of the client and a preset resource demand Q1, sets Δ Q = Q1-Q, the data comparison unit compares the demand difference with a preset demand difference, the allocation control unit determines the resource allocation of the client according to the comparison result,
wherein the distribution control unit is provided with a first preset demand difference delta Q1, a second preset demand difference delta Q2, a first resource distribution W1, a second resource distribution W2 and a third resource distribution W3, the delta Q1 is less than the delta Q2, the W1 is less than the W2 and less than the W3,
if the delta Q is less than or equal to the delta Q1, the allocation control unit determines that the resource allocation amount of the client is W3;
if delta Q1 is smaller than delta Q and is less than or equal to delta Q2, the allocation control unit determines that the resource allocation amount of the client is W2;
if Δ Q >. DELTA.q 2, the allocation control unit determines that the resource allocation amount of the client is W1.
Specifically, the data obtaining module obtains the running status of the historical versions, the data operation unit is configured to determine running abnormal rates Y of the historical versions according to the running status of the historical versions, and set Y = E/Ez, the data comparison unit compares the running abnormal rates Y of the historical versions with a preset running abnormal rate Y1, and the allocation control unit determines whether to allocate resources to the client according to the comparison result, where E is the number of times that the historical versions run abnormally, and Ez is the total number of times that the historical versions run,
if Y is less than or equal to Y1, the allocation control unit judges that the resource allocation is carried out on the client;
and if Y is larger than Y1, the allocation control unit judges that the resource allocation is not carried out on the client.
Specifically, when the allocation control unit determines that the resource allocation is not performed on the client, the data operation unit calculates the network fluency L of the client, and sets L = F/T, the data comparison unit compares the network fluency L with a preset network fluency L1, the allocation control unit determines whether the network fluency is qualified according to a comparison result, wherein F is the number of times that the resource is dropped from a frame, and T is the duration of starting the resource,
if L is less than or equal to L1, the distribution control unit preliminarily judges that the network fluency is qualified;
and if L is larger than L1, the distribution control unit judges that the network fluency is unqualified.
Specifically, when the distribution control unit determines that the network fluency is not qualified, the data operation unit calculates a fluency difference Δ L between the network fluency L of the client and a preset network fluency L1, sets Δ L = | L1-L |, the data comparison unit compares the fluency difference with the preset fluency difference, the distribution control unit determines to increase the number of network channels according to the comparison result,
wherein the distribution control unit is provided with a first preset fluency difference Delta L1, a second preset fluency difference Delta L2, a first numerical value V1, a second numerical value V2 and a third numerical value V3, delta L1 is less than Delta L2, V1 is less than V2 and less than V3,
if the delta L is less than or equal to the delta L1, the distribution control unit determines that the number of the added network channels is V1;
if delta L1 is less than delta L and less than or equal to delta L2, the distribution control unit determines that the number of the added network channels is V2;
if Δ L > Δl2, the allocation control unit determines that the number of added network channels is V3.
Specifically, when the distribution control unit preliminarily judges that the network fluency is qualified, the data comparison unit selects a corresponding network rate adjustment coefficient according to a comparison result of a network fluency difference and a preset fluency difference to adjust the network rate, wherein the distribution control unit is also provided with a first network rate adjustment coefficient K1, a second network rate adjustment coefficient K2 and a third network rate adjustment coefficient K3, wherein K1 is more than K1 and K2 is more than K3 and less than 1.5,
if the delta L is not more than the delta L1, the distribution control unit judges that a first network rate adjustment coefficient K1 is selected to adjust the network rate;
if the delta L1 is less than the delta L and less than or equal to the delta L2, the distribution control unit judges that a second network rate adjusting coefficient K2 is selected to adjust the network rate;
if delta L is longer than delta L2, the distribution control unit judges that a third network rate adjusting coefficient K3 is selected to adjust the network rate;
when the distribution control unit selects the ith network rate adjustment coefficient Ki to adjust the network rate, the adjusted network rate is set to be A, A = A0 xKi, wherein A0 is the initial network rate, ki is the adjustment coefficient of the network rate, and i =1,2,3 is set.
Specifically, when the allocation control unit determines that the remaining capacity of the server cannot fully bear the resource demand, the data operation unit calculates a utilization rate P of the resource that has been enabled by the client, sets P = N/Nt, the data comparison unit compares the utilization rate P with a preset utilization rate P1, and the allocation control unit determines whether the enabled resource is releasable according to a comparison result, where N is the number of times the resource has been enabled by the client, nt is the total duration of the resource that has been enabled by the client,
if P is less than or equal to P1, the allocation control unit determines that the enabled resources are releasable;
if P > P1, the allocation control unit determines that the enabled resources are not releasable.
Specifically, when the allocation control unit determines that the enabled resource is releasable, the data operation unit calculates a utilization ratio difference Δ P between the utilization ratio P of the enabled resource of the client and a preset utilization ratio P1, sets Δ P = P1-P, the data comparison unit compares the utilization ratio difference with the preset utilization ratio difference, the allocation control unit selects a corresponding resource adjustment coefficient according to the comparison result to adjust the resource allocation amount of the client,
wherein the distribution control unit is provided with a first preset utilization rate difference value delta P1, a second preset utilization rate difference value delta P2, a first distribution amount adjusting coefficient Z1, a second distribution amount adjusting coefficient Z2 and a third distribution amount adjusting coefficient Z3, the delta P1 is less than the delta P2,1 is more than Z1 and more than Z2 and more than Z3 and less than 1.2,
if the delta P is less than or equal to the delta P1, the allocation control unit judges that a first allocation adjustment coefficient Z1 is selected to adjust the resource allocation amount of the client;
if the delta P1 is less than the delta P and is not more than the delta P2, the distribution control unit judges that a second distribution quantity adjusting coefficient Z2 is selected to adjust the resource distribution quantity of the client;
if delta P is > -delta P2, the allocation control unit judges that a third allocation quantity adjusting coefficient Z3 is selected to adjust the resource allocation quantity of the client;
when the allocation control unit judges that the nth allocation quantity adjusting coefficient Zn is selected to adjust the resource allocation quantity of the client, the adjusted resource allocation quantity is set to be W4, W4= Wj × Zn, wherein Zn is the adjusting coefficient of the resource allocation quantity, n =1,2,3 is set, and j =1,2,3 is set.
Specifically, when determining that the enabled resources are not releasable, the allocation control unit sets a priority resource allocation right according to the sequence of the request time points of the client.
So far, the technical solutions of the present invention have been described in connection with the preferred embodiments shown in the drawings, but it is apparent to those skilled in the art that the scope of the present invention is not limited to these specific embodiments. Equivalent changes or substitutions of related technical features can be made by those skilled in the art without departing from the principle of the invention, and the technical scheme after the changes or substitutions can fall into the protection scope of the invention.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention; various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An intelligent management system based on server resource utilization, comprising:
the data acquisition module is used for acquiring the resource demand of the client, the network fluency, the historical version of the server and the running state of the current version;
the data storage module is connected with the data acquisition module and used for storing the historical version and the running state of the current version of the server;
the data analysis module is respectively connected with the data acquisition module and the data storage module and is used for distributing resources of the client;
the data acquisition module acquires the running condition of the historical versions, the data operation unit of the data analysis module is used for determining the running abnormal rate Y of the historical versions according to the running condition of the historical versions and setting Y = E/Ez, the data comparison unit of the data analysis module compares the running abnormal rate Y of the historical versions with a preset running abnormal rate Y1, the distribution control unit of the data analysis module judges whether to distribute resources to the client according to the comparison result, wherein E is the running abnormal times of the historical versions, ez is the running total times of the historical versions,
if Y is less than or equal to Y1, the allocation control unit judges that the resource allocation is carried out on the client;
if Y is more than Y1, the allocation control unit judges that the resource allocation is not carried out on the client;
when the allocation control unit judges that the resource allocation is not carried out on the client, the data operation unit calculates the network fluency L of the client and sets L = F/T, the data comparison unit compares the network fluency L with the preset network fluency L1, the allocation control unit judges whether the network fluency is qualified or not according to the comparison result, wherein F is the frequency of dropping frames of the resource and T is the time length of starting the resource,
if L is less than or equal to L1, the distribution control unit preliminarily judges that the network fluency is qualified;
if L is larger than L1, the distribution control unit judges that the network fluency is unqualified;
when the distribution control unit judges that the network fluency is unqualified, the data operation unit calculates the fluency difference Delta L between the network fluency L of the client and the preset network fluency L1, sets Delta L = | L1-L |, the data comparison unit compares the fluency difference with the preset fluency difference, the distribution control unit determines to increase the number of network channels according to the comparison result,
wherein the distribution control unit is provided with a first preset fluency difference Delta L1, a second preset fluency difference Delta L2, a first quantity value V1, a second quantity value V2 and a third quantity value V3, the Delta L1 is less than the Delta L2, the V1 is more than the V2 and less than the V3,
if the delta L is less than or equal to the delta L1, the distribution control unit determines that the number of the added network channels is V1;
if delta L1 is less than delta L and less than or equal to delta L2, the distribution control unit determines that the number of the added network channels is V2;
if Δ L > Δl2, the allocation control unit determines that the number of added network channels is V3;
when the distribution control unit preliminarily judges that the network fluency is qualified, the distribution control unit is used for adjusting the network rate according to the network fluency difference, and setting the adjusted network rate as A, wherein A = A0 × Ki, A0 is the initial network rate, ki is the adjustment coefficient of the network rate, and i =1,2,3 is set;
when the data comparison unit of the data analysis module judges that the residual capacity of the server cannot completely bear the resource demand of the client, the data operation unit of the data analysis module determines the utilization rate of the started resource of the client and compares the utilization rate with a preset utilization rate, and the data comparison unit determines whether the started resource can be released according to the comparison result;
when the data comparison unit determines that the started resources are releasable, the data operation unit calculates a utilization ratio difference value between the utilization ratio of the started resources of the client and a preset utilization ratio, and the allocation control unit of the data analysis module is used for adjusting the resource allocation amount of the client according to the utilization ratio difference value.
2. The intelligent management system based on server resource utilization according to claim 1, wherein the data operation unit is configured to set Q = sxi according to a resource demand Q of the client, the data comparison unit compares the resource demand Q with a preset resource demand Q1, and the allocation control unit determines whether the remaining capacity of the server can completely carry the resource demand according to a comparison result, where S is a request number of the client and I is a request data amount of the client,
if Q is less than or equal to Q1, the allocation control unit judges that the residual capacity of the service end can completely bear the resource demand;
if Q is larger than Q1, the allocation control unit judges that the residual capacity of the service end can not completely bear the resource demand.
3. The intelligent management system based on server resource utilization according to claim 2, wherein when the allocation control unit determines that the remaining capacity of the server can fully bear the resource demand, the data operation unit calculates a demand difference Δ Q between the resource demand Q of the client and a preset resource demand Q1, and sets Δ Q = Q1-Q, the data comparison unit compares the demand difference with a preset demand difference, and the allocation control unit determines the resource allocation amount of the client according to the comparison result,
wherein the distribution control unit is provided with a first preset demand difference value delta Q1, a second preset demand difference value delta Q2, a first resource distribution quantity W1, a second resource distribution quantity W2 and a third resource distribution quantity W3, the delta Q1 is less than the delta Q2, the W1 is less than the W2 and less than the W3,
if delta Q is less than or equal to delta Q1, the allocation control unit determines that the resource allocation amount of the client is W3;
if delta Q1 is less than delta Q and less than or equal to delta Q2, the allocation control unit determines that the resource allocation amount of the client is W2;
if Δ Q > Δq2, the allocation control unit determines that the resource allocation amount of the client is W1.
4. The intelligent management system based on server resource utilization according to claim 1, wherein when the allocation control unit determines that the remaining capacity of the server cannot fully support the resource demand, the data operation unit calculates a utilization rate P of the resource that has been enabled by the client, and sets P = N/Nt, the data comparison unit compares the utilization rate P with a preset utilization rate P1, and the allocation control unit determines whether the enabled resource is releasable according to the comparison result, where N is the number of times the resource has been enabled by the client, and Nt is the total duration of the resource that has been enabled by the client,
if P is less than or equal to P1, the allocation control unit determines that the enabled resources are releasable;
if P > P1, the allocation control unit determines that the enabled resources are not releasable.
5. The system according to claim 4, wherein when the allocation control unit determines that the enabled resource is releasable, the data operation unit calculates a utilization difference Δ P between the utilization rate P of the enabled resource of the client and a preset utilization rate P1, and sets Δ P = P1-P, and the allocation control unit is configured to adjust the resource allocation amount of the client according to the utilization difference, and set the adjusted resource allocation amount as W4, W4= Wj × Zn, where Zn is an adjustment coefficient of the resource allocation amount, and sets n =1,2,3 and j =1,2,3.
6. The intelligent management system based on server resource utilization according to claim 5, wherein the allocation control unit sets priority allocation resource rights according to a request time point sequence of the client when determining that the enabled resources are not releasable.
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| CN112148427A (en) * | 2020-09-04 | 2020-12-29 | 北京浪潮数据技术有限公司 | Cloud platform resource allocation method and device and computer readable storage medium |
| WO2022057481A1 (en) * | 2020-09-16 | 2022-03-24 | 中兴通讯股份有限公司 | Memory resource allocation method and network device |
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