CN111385226A - Network resource allocation method, system and network equipment applied to online office - Google Patents
Network resource allocation method, system and network equipment applied to online office Download PDFInfo
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- CN111385226A CN111385226A CN202010192209.8A CN202010192209A CN111385226A CN 111385226 A CN111385226 A CN 111385226A CN 202010192209 A CN202010192209 A CN 202010192209A CN 111385226 A CN111385226 A CN 111385226A
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- H04L47/00—Traffic control in data switching networks
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Abstract
The application relates to a network resource allocation method, a system and network equipment applied to online office. First, a first state parameter list with each office terminal and a second state parameter list with the office network cluster are determined. Next, a list transition logical topology is determined between each of the first list of state parameters and the second list of state parameters. And then determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology corresponding to each parameter characteristic. And finally, adjusting the network resource occupation proportion corresponding to each office terminal according to the priority of the communication state sequence corresponding to each office terminal. Therefore, network resource allocation can be performed according to the priorities corresponding to different office terminals, not only can the network smoothness of the office terminal with the higher priority be ensured, but also the normal operation of the office terminal with the lower priority can be ensured, and further the office efficiency is improved.
Description
Technical Field
The present application relates to the field of online office technologies, and in particular, to a network resource allocation method, system and network device for online office.
Background
With the rapid development of cloud computing technology, online office is gradually popularized. Compared with a traditional office mode, online office is not restricted by places and occasions, and office workers can realize timely communication and interaction through the intelligent terminal to carry out work cooperatively. The network device (usually a cloud server) serves as a hub of the whole online office network (cloud office network), and provides important technical support for stable and reliable operation of the whole online office network.
However, in practical applications, as the number of the intelligent terminals gradually increases, the network environment of online office is increasingly deteriorated, and along with abnormal situations such as network speed blockage and disconnection, the office efficiency is seriously affected.
Disclosure of Invention
The application provides a network resource allocation method, a system and network equipment applied to online office, so as to solve the problems in the prior art.
According to a first aspect of the embodiments of the present application, there is provided a network resource allocation method applied to online office, which is applied to a network device in a network resource allocation system, where the network device communicates with a plurality of office terminals in the network resource allocation system, and the method at least includes the following steps:
determining a first state parameter list between each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets;
acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to each office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group;
mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature;
determining target parameters in the reference parameter group by taking each mapping characteristic as a reference characteristic, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic;
and according to the priority of the communication state sequence corresponding to each office terminal, adjusting the current network resource distribution corresponding to the office network cluster so as to adjust the network resource occupation ratio corresponding to each office terminal.
Preferably, the determining a first status parameter list with each office terminal in the network resource allocation system includes:
sequentially determining current log data streams in the log files reserved when a communication link with each office terminal is established according to the sequence of the generation moments of the log data;
determining a reference log data stream from log data streams whose generation time of the log data in the log file is sequentially located before a current log data stream;
acquiring a first distribution weight sequence of data distribution information in the reference log data stream;
converting the current log data stream according to the conversion relation between the first distribution weight sequence and a preset communication state pointing list to obtain terminal communication description information of the current log data stream; the preset communication state pointing list is used for representing a set of preset communication state pointing information aiming at different office terminals by taking the real-time communication state of the network equipment as a reference state;
performing feature extraction on the terminal communication description information to obtain a second distribution weight sequence corresponding to data distribution information;
determining a target state parameter from the terminal communication description information to obtain time sequence information of the target state parameter;
and determining a first state parameter list between each office terminal in the network resource distribution system and the current log data stream according to the time sequence information and the second distribution weight sequence.
Preferably, the determining a second status parameter list between office network clusters formed by all office terminals in the network resource allocation system includes:
determining office terminal distribution maps corresponding to office network clusters and cluster interaction data corresponding to all office terminals;
when determining that the office network cluster contains a heterogeneous terminal cluster according to the office terminal distribution map, determining a heterogeneous degree coefficient between cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data of each office terminal under the heterogeneous terminal cluster in the office network cluster according to cluster interaction data of each office terminal under the heterogeneous terminal cluster and a cluster heterogeneous coefficient of each office terminal under the heterogeneous terminal cluster in the office network cluster, and distributing cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data heterogeneous under the heterogeneous terminal cluster in the office network cluster to the heterogeneous terminal cluster in the office network cluster;
under the condition that a plurality of cluster interactive data are contained under the isomorphic terminal cluster of the office network cluster, determining an isomerization degree coefficient between cluster interactive data corresponding to office terminals under the isomorphic terminal cluster of the office network cluster according to cluster interactive data of the office terminals under the isomorphic terminal cluster of the office network cluster and cluster isomerization coefficients of the cluster interactive data, and filtering the cluster interactive data corresponding to the office terminals under the isomorphic terminal cluster of the office network cluster according to the isomerization degree coefficient between the cluster interactive data corresponding to the office terminals to obtain at least part of cluster interactive data to be processed under the isomorphic terminal cluster of the office network cluster;
setting data heterogeneous weights for at least part of cluster interactive data to be processed according to cluster interactive data of each office terminal under a heterogeneous terminal cluster in the office network cluster and cluster heterogeneous coefficients of the cluster interactive data, and distributing at least part of cluster interactive data to be processed under the heterogeneous terminal cluster in the office network cluster represented by the data heterogeneous weights;
and generating the second state parameter list based on cluster interaction data under a heterogeneous terminal cluster in the office network cluster and a ratio of the number of the cluster interaction data under the heterogeneous terminal cluster in the office network cluster to the number of the cluster interaction data under a homogeneous terminal cluster in the office network cluster.
Preferably, mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature, further comprising:
performing list feature extraction on a mapping logic list generated based on the parameter distribution information and the resource allocation logic information of the network equipment to obtain at least one mapping list pair;
performing vector dimension mapping of each parameter feature on the at least one mapping list pair to obtain a vector dimension mapping result of each parameter feature, wherein the vector dimension mapping result is used for describing mapping logic of the vector dimension of each parameter feature in the mapping list pair; performing a vector value mapping result of each parameter characteristic on the at least one mapping list pair to obtain a vector value mapping result of each parameter characteristic, wherein the vector value mapping result is used for describing mapping logic of the vector value of each parameter characteristic in the mapping list pair;
mapping the vector dimension mapping result and the vector value mapping result of each parameter feature to the reference parameter group to obtain a mapping feature corresponding to each parameter feature;
respectively carrying out feature convergence operation on each parameter feature and the corresponding mapping feature to obtain a convergence operation result; respectively determining first list mapping logic information in each first state parameter list and second list mapping logic information in the second state parameter list based on the convergence operation result; and fusing the first list mapping logic information and the second list mapping logic information to obtain fusion logic information, and performing node processing on the fusion logic information to obtain a list conversion logic topology.
Preferably, the method further includes determining a target parameter in the reference parameter group by using each mapping feature as a reference feature, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to an inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter feature, further including:
determining a reference parameter node of each reference characteristic from a parameter node network corresponding to the reference parameter group; the parameter node network is a clustered network obtained by performing node processing on the reference parameter group; the reference parameter node of each reference characteristic refers to a parameter node belonging to a parameter node network;
determining the target parameters in the reference parameter group according to the connection relationship between every two reference parameter nodes and the distance between every two reference parameter nodes;
acquiring parameter sequence information of each target parameter, and identifying difference distribution of sequence values in the parameter sequence information; and performing listing processing on the difference distribution corresponding to each target parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic to obtain a mapping parameter corresponding to each target parameter, and performing serialization processing on the mapping parameter corresponding to each target parameter according to the difference distribution corresponding to each target parameter to obtain a communication state sequence corresponding to the mapping parameter.
Preferably, the step of adjusting the current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal to adjust the network resource occupation ratio corresponding to each office terminal specifically includes:
sequencing the office terminals according to the sequence of the priorities from high to low to obtain a priority sequence corresponding to the office terminals;
determining the occupation proportion of network resources occupied by the network resources corresponding to each office terminal, wherein the occupation proportion of each network resource and the network resources occupied by the network resources are in one-to-one correspondence;
sequencing the office terminals according to the sequence of the network resource occupation ratios from large to small to obtain a network resource occupation ratio sequence corresponding to the office terminals;
and adjusting the network resource occupation ratio corresponding to each office terminal according to the sequencing position of each office terminal in the priority sequence and the sequencing position of the office terminal in the network resource occupation ratio sequence.
According to a second aspect of the embodiments of the present application, there is provided a network resource allocation system applied to online office, including a network device and a plurality of office terminals, wherein the network device is in communication with the plurality of office terminals;
the network equipment is used for determining a first state parameter list between the network equipment and each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets; acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to each office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group; mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature; determining target parameters in the reference parameter group by taking each mapping characteristic as a reference characteristic, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic; and according to the priority of the communication state sequence corresponding to each office terminal, adjusting the current network resource distribution corresponding to the office network cluster so as to adjust the network resource occupation ratio corresponding to each office terminal.
According to a third aspect of embodiments of the present application, there is provided a network device, the network device communicating with a plurality of office terminals in a network resource allocation system, the network device including at least the following modules:
the list determining module is used for determining a first state parameter list between each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets;
the system comprises a characteristic acquisition module, a parameter selection module and a parameter selection module, wherein the characteristic acquisition module is used for acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to the office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group;
a topology determining module, configured to map each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determine a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature;
a sequence determining module, configured to determine a target parameter in the reference parameter group by using each mapping feature as a reference feature, and determine a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to an inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter feature;
and the resource adjusting module is used for adjusting the current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal so as to adjust the network resource occupation proportion corresponding to each office terminal.
According to a fourth aspect of embodiments of the present application, there is provided a network device, including:
a processor, and
a memory and a network interface connected with the processor;
the network interface is connected with a nonvolatile memory in the access right verification device;
when the processor is operated, the computer program is called from the nonvolatile memory through the network interface, and the computer program is operated through the memory so as to execute the method.
According to a fifth aspect of the embodiments of the present application, a readable storage medium applied to a computer is provided, where a computer program is burned in the readable storage medium, and the computer program implements the method when running in a memory of a network device.
When the network resource allocation method, the system and the network equipment applied to online office work are applied, firstly, a first state parameter list between each office terminal and a second state parameter list between each office terminal and an office network cluster are determined. Second, a list translation logical topology between each of the first and second lists of state parameters is determined. And then, determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic. And finally, adjusting the network resource occupation proportion corresponding to each office terminal according to the priority of the communication state sequence corresponding to each office terminal. Therefore, network resource allocation can be performed according to the priorities corresponding to different office terminals, not only can the network smoothness of the office terminal with the higher priority be ensured, but also the normal operation of the office terminal with the lower priority can be ensured, and further the office efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. .
Fig. 1 is a communication architecture diagram of a network resource allocation system applied to online office according to an exemplary embodiment of the present application.
Fig. 2 is a flowchart illustrating a network resource allocation method applied to online office according to an exemplary embodiment of the present application.
Fig. 3 is a block diagram of one embodiment of a network device, shown in accordance with an example embodiment of the present application.
Fig. 4 is a hardware block diagram of a network device shown in the present application according to an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or different elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The clustered web phrase "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination", depending on context.
In order to improve the network environment of online office work, avoid abnormal conditions such as network speed blocking, disconnection and the like, and further improve the office efficiency, the invention discloses a network resource allocation method, a system and network equipment applied to the online office work.
Referring to fig. 1, a communication architecture of a network resource allocation system 200 for online office is shown. In fig. 1, a network device 300 and a plurality of office terminals 400 are communicatively connected to each other through a wired network, a wireless network, a bluetooth network, or a ZigBee network to form a network resource allocation system 200.
In fig. 1, the network device 300 may be a cloud server or a central computer device having a cloud computing function and a data processing and analyzing function, and the office terminal 400 may be a desktop computer, a notebook computer, a laptop computer, a tablet computer, or a mobile phone.
On the basis of the above, the network device 300 may execute the network resource allocation method shown in fig. 2 to improve the problems of the prior art. Specifically, the network resource allocation method shown in fig. 2 may specifically include the following steps.
Step S210, determining a first state parameter list between each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second state parameter lists comprise different categories of parameter sets.
In a possible implementation manner, the communication state may include parameter indexes such as delay, packet loss rate, and distortion of office data transmission, and the network resource allocation state is used to characterize channel resources of the communication network allocated by the network device for the office terminal and for the entire office network cluster, where the channel resources are used to perform transmission, processing, and analysis of office data.
Step S220, acquiring the parameter characteristics of any parameter set in the first status parameter list corresponding to each office terminal, and determining the parameter set with the largest class weight in the second status parameter list as the reference parameter set.
In step S220, the parameter features are used to characterize the communication state description of multiple dimensions of the parameter set, and the class weights may be obtained by the feature dimensions and feature value distributions of the parameter features of the parameter set.
Step S230, mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature.
In a possible example, the parameter distribution information of the network device may be obtained through factory information and operation loss of the network device, the resource allocation logic information is used to represent resources allocated by the network device to each office terminal according to different office network states, the list conversion logic topology is used to represent a conversion relationship between list units among different state lists and conversion correspondence between list parameters, and the list conversion logic topology may be presented in a form of a topology map.
Step S240, determining target parameters in the reference parameter group by using each mapping feature as a reference feature, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter feature.
In step S240, in this embodiment, the mapping parameter is used to represent a relative status parameter of the communication status of the office terminal compared with the communication status of the entire office network cluster, and the communication status sequence is used to represent an office efficiency value, an office urgency level, and an office timeliness index of the office terminal in the entire office network cluster.
Step S250, according to the priority of the communication state sequence corresponding to each office terminal, adjusting the current network resource distribution corresponding to the office network cluster to adjust the network resource occupation ratio corresponding to each office terminal.
In step S250, the priority of the communication state sequence may be determined by the office efficiency value, the office urgency level, and the office timeliness index. The current network resource distribution may be determined by the network device based on prior priorities of the different office terminals. In this embodiment, the current network resource distribution is adjusted, and the network resource occupation ratio corresponding to each office terminal may be adjusted according to the priority (current priority) of the communication state sequence.
For example, more network resources and higher-authority exclusive weight of resources are allocated to office terminals with higher current priority. For another example, less network resources are allocated to the office terminal with the lower priority and in some cases, no resource exclusive weight is allocated to the office terminal with the lower priority, and even if the allocated network resources are less, the normal use of the office terminal with the lower priority is not affected because the office urgency and the timeliness index of the office terminal with the lower priority are lower.
When the method described in the above steps S210 to S250 is implemented, first, a first status parameter list with each office terminal and a second status parameter list with the office network cluster are determined. Second, a list translation logical topology between each of the first and second lists of state parameters is determined. And then, determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic. And finally, adjusting the network resource occupation proportion corresponding to each office terminal according to the priority of the communication state sequence corresponding to each office terminal. Therefore, network resource allocation can be performed according to the priorities corresponding to different office terminals, not only can the network smoothness of the office terminal with the higher priority be ensured, but also the normal operation of the office terminal with the lower priority can be ensured, and further the office efficiency is improved.
In a possible example, in order to accurately determine each first state parameter list, in step S210, the step of determining the first state parameter list with each office terminal in the network resource allocation system may specifically include what is described in the following sub-steps.
Step S2111, sequentially determining the current log data stream according to the sequence of the generation time of the log data in the log file reserved when the communication link with each office terminal is established.
Step S2112 is a step of specifying a reference log data stream from the log data streams located before the current log data stream in the order of the generation time of the log data in the log file.
Step S2113, a first distribution weight sequence of the data distribution information in the reference log data stream is obtained.
Step S2114, converting the current log data stream according to the conversion relation between the first distribution weight sequence and a preset communication state pointing list to obtain the terminal communication description information of the current log data stream; and the preset communication state pointing list is used for representing a set of preset communication state pointing information aiming at different office terminals by taking the real-time communication state of the network equipment as a reference state.
Step S2115, extracting the characteristics of the terminal communication description information to obtain a second distribution weight sequence corresponding to the data distribution information.
Step S2116, determining the target state parameter from the terminal communication description information, and obtaining the time sequence information of the target state parameter.
Step S2117, determining a first state parameter list between each office terminal in the network resource allocation system and the current log data stream according to the timing information and the second distribution weight sequence.
It can be understood that through the content described in the above steps, the log data in the log file reserved when the communication link with each office terminal is established can be analyzed, and the determination of the first state parameter list is further performed by extending to the log data flow level. Therefore, timeliness of the network equipment in communication with each office terminal can be taken into consideration, and further, timeliness and accuracy reflected by timeliness are guaranteed when the first state parameter list corresponding to each office terminal is determined, so that the first state parameter lists corresponding to different office terminals can be determined accurately.
In another possible implementation, in order to accurately determine the second status parameter list of the office network cluster, device heterogeneity between different office terminals needs to be considered. In step S210, the step of determining the second status parameter list between the office network clusters formed with all office terminals in the network resource allocation system may specifically include the content described in the following steps.
Step S2121, determining office terminal distribution maps corresponding to office network clusters and cluster interaction data corresponding to all office terminals.
Step S2122, when it is determined that the office network cluster contains a heterogeneous terminal cluster according to the office terminal distribution map, determining a heterogeneous degree coefficient between cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data of each office terminal under the heterogeneous terminal cluster in the office network cluster according to cluster interaction data of each office terminal under the heterogeneous terminal cluster and a cluster heterogeneous coefficient of each office terminal under the heterogeneous terminal cluster in the office network cluster, and distributing cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data of each office terminal under the heterogeneous terminal cluster in the office network cluster to the heterogeneous terminal cluster in the office network cluster.
Step S2123, under the condition that a plurality of cluster interactive data are contained in the homogeneous terminal cluster of the office network cluster, determining a heterogeneous degree coefficient between cluster interactive data corresponding to office terminals in the homogeneous terminal cluster of the office network cluster according to cluster interactive data of the office terminals in the heterogeneous terminal cluster of the office network cluster and cluster heterogeneous coefficients of the office terminals, and filtering cluster interactive data corresponding to the office terminals in the homogeneous terminal cluster of the office network cluster according to the heterogeneous degree coefficient between the cluster interactive data corresponding to the office terminals to obtain at least part of cluster interactive data to be processed in the homogeneous terminal cluster of the office network cluster.
Step S2124, setting data heterogeneous weights for at least part of to-be-processed cluster interaction data according to cluster interaction data of each office terminal in a heterogeneous terminal cluster in the office network cluster and cluster heterogeneous coefficients of the cluster interaction data, and distributing at least part of to-be-processed cluster interaction data to the heterogeneous terminal cluster in the office network cluster represented by the data heterogeneous weights.
Step S2125, generating the second state parameter list based on the cluster interaction data in the heterogeneous terminal cluster in the office network cluster, and a ratio of the number of the cluster interaction data in the heterogeneous terminal cluster in the office network cluster to the number of the cluster interaction data in the homogeneous terminal cluster in the office network cluster.
When the method described in steps S2121 to S2125 is applied, device heterogeneity between different office terminals can be taken into account, so as to determine cluster interaction data in a heterogeneous terminal cluster and a ratio of the number of cluster interaction data in the heterogeneous terminal cluster in the office network cluster to the number of cluster interaction data in a homogeneous terminal cluster in the office network cluster. Therefore, the second state parameter list can be accurately determined based on analysis of the homogeneous terminal cluster and the heterogeneous terminal cluster of the office network cluster.
In an alternative embodiment, the step S230 of mapping each parameter feature to the reference parameter group according to the preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature may further include what is described in the following sub-steps.
Step S2301, performing list feature extraction on a mapping logic list generated based on the parameter distribution information and the resource allocation logic information of the network device to obtain at least one mapping list pair.
Step S2302, performing vector dimension mapping of each parameter feature on the at least one mapping list pair to obtain a vector dimension mapping result of each parameter feature, wherein the vector dimension mapping result is used for describing mapping logic of the vector dimension of each parameter feature in the mapping list pair; and performing a vector value mapping result of each parameter characteristic on the at least one mapping list pair to obtain a vector value mapping result of each parameter characteristic, wherein the vector value mapping result is used for describing mapping logic of the vector value of each parameter characteristic in the mapping list pair.
Step S2303, mapping the vector dimension mapping result and the vector value mapping result of each parameter feature to the reference parameter set, so as to obtain a mapping feature corresponding to each parameter feature.
Step S2304, respectively performing feature convergence operation on each parameter feature and the corresponding mapping feature to obtain a convergence operation result; respectively determining first list mapping logic information in each first state parameter list and second list mapping logic information in the second state parameter list based on the convergence operation result; and fusing the first list mapping logic information and the second list mapping logic information to obtain fusion logic information, and performing node processing on the fusion logic information to obtain a list conversion logic topology.
It can be understood that based on the above steps S2301 to S2304, the first list mapping logic information and the second list mapping logic information can be fused on the premise of ensuring the reliability of the mapping feature corresponding to each parameter feature, so as to improve the accuracy and the confidence of the list conversion logic topology.
In an alternative embodiment, in step S240, the determining, by using each mapping feature as a reference feature, a target parameter in the reference parameter group, and determining, according to the inverse list transformation logic topology of the list transformation logic topology corresponding to each parameter feature, a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter, may further include what is described in the following steps.
Step S2401, determining a reference parameter node of each reference characteristic from a parameter node network corresponding to the reference parameter group; the parameter node network is a clustered network obtained by performing node processing on the reference parameter group; the reference parameter node of each reference characteristic refers to a parameter node belonging to a parameter node network.
Step S2402, determining the target parameter in the reference parameter group according to the connection relationship between every two reference parameter nodes and the distance between every two reference parameter nodes.
Step S2403, acquiring parameter sequence information of each target parameter, and identifying difference distribution of sequence values in the parameter sequence information; and performing listing processing on the difference distribution corresponding to each target parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic to obtain a mapping parameter corresponding to each target parameter, and performing serialization processing on the mapping parameter corresponding to each target parameter according to the difference distribution corresponding to each target parameter to obtain a communication state sequence corresponding to the mapping parameter.
When the steps described in the steps S2401 to S2403 are executed, the communication state sequence corresponding to each office terminal can be accurately determined, so that an accurate data basis is provided for subsequent network resource occupation ratio adjustment.
In a specific implementation, the step of adjusting the current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal in the above step S250 to adjust the network resource occupation ratio corresponding to each office terminal may specifically include the following contents.
Step S2501, sequencing the office terminals according to the sequence of the priorities from high to low to obtain a priority sequence corresponding to the office terminals.
Step S2502, determining the occupied proportion of the network resources occupied by the network resources corresponding to each office terminal, wherein the occupied proportion of the network resources occupied by each network resource and the network resources occupied by the network resources are in a one-to-one correspondence relationship.
And step S2503, sequencing the office terminals according to the sequence of the network resource occupation ratios from large to small to obtain a network resource occupation ratio sequence corresponding to the office terminals.
Step S2504, the network resource occupation ratio corresponding to each office terminal is adjusted according to the sequencing position of each office terminal in the priority sequence and the sequencing position of each office terminal in the network resource occupation ratio sequence.
When the steps described in the above step S2501 to step S2504 are applied, the priority sequence and the network resource occupation ratio sequence corresponding to the office terminal can be analyzed, so that network resource allocation is performed according to the priorities corresponding to different office terminals, thereby not only ensuring the network smoothness of the office terminal with a higher priority, but also ensuring the normal operation of the office terminal with a lower priority, and further improving the office efficiency.
In an alternative embodiment, on the basis of the above steps S210 to S250, the method may further include the following steps.
Step S310, receiving an access request for accessing the office network cluster sent by an office terminal to be accessed.
Step S320, obtaining a performance parameter trajectory of each office terminal in the office network cluster based on the access request.
Step S330, each performance parameter track is segmented to obtain a plurality of continuous segmented tracks corresponding to each performance parameter track.
Step S340, determining a track weight difference between every two adjacent segmented tracks according to every two adjacent segmented tracks corresponding to each performance parameter track, and determining that a performance fluctuation behavior exists between every two adjacent segmented tracks when the track weight difference is larger than a set difference value; the track weight of each segmented track is used for representing the performance stability corresponding to the segmented track.
Step S350, determining the number of performance fluctuation behaviors in each performance parameter trajectory, and determining that the office terminal corresponding to each performance parameter trajectory has operation performance fluctuation if the number of performance fluctuation behaviors in the performance parameter trajectory reaches a preset number for each performance parameter trajectory.
And step S360, generating a corresponding network resource redistribution strategy according to the counted total number of the office terminals with the operating performance fluctuation, and readjusting the network resource occupation ratio of each office terminal in the office network cluster according to the network resource redistribution strategy after the access office terminal is accessed into the office network cluster.
It can be understood that based on the above steps S310 to S360, before the new office terminal accesses the office network cluster, the operation performance fluctuation situation of each office terminal in the office network cluster can be determined, and the network resource reallocation policy can be determined. Therefore, the method and the device can ensure that the operation performance of the office terminal cannot be influenced by the change of the network resource occupation ratio after the new office terminal is accessed.
As shown in fig. 3, fig. 3 is a block diagram of an embodiment of a network device 300 according to an exemplary embodiment, which includes the following functional modules.
A list determining module 3110, configured to determine a first status parameter list between each office terminal in the network resource allocation system and determine a second status parameter list between office network clusters formed by all office terminals in the network resource allocation system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second state parameter lists comprise different categories of parameter sets.
The characteristic obtaining module 3120 is configured to obtain a parameter characteristic of any parameter group in the first status parameter list corresponding to each office terminal, and determine the parameter group with the largest class weight in the second status parameter list as a reference parameter group.
A topology determining module 3130, configured to map each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determine a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature.
A sequence determining module 3140, configured to determine target parameters in the reference parameter group by using each mapping feature as a reference feature, and determine the mapping parameters corresponding to each target parameter and the communication state sequence corresponding to the mapping parameters according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter feature.
A resource adjusting module 3150, configured to adjust current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal, so as to adjust a network resource occupation ratio corresponding to each office terminal.
On the basis, the network equipment is also provided, and comprises: the system comprises a processor, a memory and a network interface, wherein the memory and the network interface are connected with the processor; the network interface is connected with a nonvolatile memory in the access right verification device; when the processor is operated, the computer program is called from the nonvolatile memory through the network interface, and the computer program is operated through the memory so as to execute the method.
On the basis, a readable storage medium applied to a computer is further provided, and a computer program is burned on the readable storage medium and is run in a memory of the network device to implement the method.
As shown in fig. 4, a hardware structure diagram of the network device 300 provided in this application is, in addition to the processor 3210, the memory 3230, the network interface 3240, and the nonvolatile memory 3220 shown in fig. 4, a device in which the apparatus is located in the embodiment may also include other hardware according to an actual function of the device, which is not shown in fig. 4 one by one.
The implementation process of the functions and actions of each module in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A network resource allocation method applied to online office is characterized in that the method is applied to network equipment in a network resource allocation system, the network equipment is communicated with a plurality of office terminals in the network resource allocation system, and the method at least comprises the following steps:
determining a first state parameter list between each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets;
acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to each office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group;
mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature;
determining target parameters in the reference parameter group by taking each mapping characteristic as a reference characteristic, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic;
and according to the priority of the communication state sequence corresponding to each office terminal, adjusting the current network resource distribution corresponding to the office network cluster so as to adjust the network resource occupation ratio corresponding to each office terminal.
2. The method according to claim 1, wherein the determining the first status parameter list with each office terminal in the network resource allocation system comprises:
sequentially determining current log data streams in the log files reserved when a communication link with each office terminal is established according to the sequence of the generation moments of the log data;
determining a reference log data stream from log data streams whose generation time of the log data in the log file is sequentially located before a current log data stream;
acquiring a first distribution weight sequence of data distribution information in the reference log data stream;
converting the current log data stream according to the conversion relation between the first distribution weight sequence and a preset communication state pointing list to obtain terminal communication description information of the current log data stream; the preset communication state pointing list is used for representing a set of preset communication state pointing information aiming at different office terminals by taking the real-time communication state of the network equipment as a reference state;
performing feature extraction on the terminal communication description information to obtain a second distribution weight sequence corresponding to data distribution information;
determining a target state parameter from the terminal communication description information to obtain time sequence information of the target state parameter;
and determining a first state parameter list between each office terminal in the network resource distribution system and the current log data stream according to the time sequence information and the second distribution weight sequence.
3. The method according to claim 2, wherein the determining the second status parameter list between the office network clusters formed by all office terminals in the network resource allocation system comprises:
determining office terminal distribution maps corresponding to office network clusters and cluster interaction data corresponding to all office terminals;
when determining that the office network cluster contains a heterogeneous terminal cluster according to the office terminal distribution map, determining a heterogeneous degree coefficient between cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data of each office terminal under the heterogeneous terminal cluster in the office network cluster according to cluster interaction data of each office terminal under the heterogeneous terminal cluster and a cluster heterogeneous coefficient of each office terminal under the heterogeneous terminal cluster in the office network cluster, and distributing cluster interaction data of each office terminal under the homogeneous terminal cluster in the office network cluster and cluster interaction data heterogeneous under the heterogeneous terminal cluster in the office network cluster to the heterogeneous terminal cluster in the office network cluster;
under the condition that a plurality of cluster interactive data are contained under the isomorphic terminal cluster of the office network cluster, determining an isomerization degree coefficient between cluster interactive data corresponding to office terminals under the isomorphic terminal cluster of the office network cluster according to cluster interactive data of the office terminals under the isomorphic terminal cluster of the office network cluster and cluster isomerization coefficients of the cluster interactive data, and filtering the cluster interactive data corresponding to the office terminals under the isomorphic terminal cluster of the office network cluster according to the isomerization degree coefficient between the cluster interactive data corresponding to the office terminals to obtain at least part of cluster interactive data to be processed under the isomorphic terminal cluster of the office network cluster;
setting data heterogeneous weights for at least part of cluster interactive data to be processed according to cluster interactive data of each office terminal under a heterogeneous terminal cluster in the office network cluster and cluster heterogeneous coefficients of the cluster interactive data, and distributing at least part of cluster interactive data to be processed under the heterogeneous terminal cluster in the office network cluster represented by the data heterogeneous weights;
and generating the second state parameter list based on cluster interaction data under a heterogeneous terminal cluster in the office network cluster and a ratio of the number of the cluster interaction data under the heterogeneous terminal cluster in the office network cluster to the number of the cluster interaction data under a homogeneous terminal cluster in the office network cluster.
4. The method according to any one of claims 1 to 3, wherein mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature, further comprises:
performing list feature extraction on a mapping logic list generated based on the parameter distribution information and the resource allocation logic information of the network equipment to obtain at least one mapping list pair;
performing vector dimension mapping of each parameter feature on the at least one mapping list pair to obtain a vector dimension mapping result of each parameter feature, wherein the vector dimension mapping result is used for describing mapping logic of the vector dimension of each parameter feature in the mapping list pair; performing a vector value mapping result of each parameter characteristic on the at least one mapping list pair to obtain a vector value mapping result of each parameter characteristic, wherein the vector value mapping result is used for describing mapping logic of the vector value of each parameter characteristic in the mapping list pair;
mapping the vector dimension mapping result and the vector value mapping result of each parameter feature to the reference parameter group to obtain a mapping feature corresponding to each parameter feature;
respectively carrying out feature convergence operation on each parameter feature and the corresponding mapping feature to obtain a convergence operation result; respectively determining first list mapping logic information in each first state parameter list and second list mapping logic information in the second state parameter list based on the convergence operation result; and fusing the first list mapping logic information and the second list mapping logic information to obtain fusion logic information, and performing node processing on the fusion logic information to obtain a list conversion logic topology.
5. The method according to claim 1, wherein the target parameters are determined in the reference parameter group using each mapping feature as a reference feature, and the mapping parameters corresponding to each target parameter and the communication state sequence corresponding to the mapping parameters are determined according to the inverse list transformation logic topology of the list transformation logic topology corresponding to each parameter feature, further comprising:
determining a reference parameter node of each reference characteristic from a parameter node network corresponding to the reference parameter group; the parameter node network is a clustered network obtained by performing node processing on the reference parameter group; the reference parameter node of each reference characteristic refers to a parameter node belonging to a parameter node network;
determining the target parameters in the reference parameter group according to the connection relationship between every two reference parameter nodes and the distance between every two reference parameter nodes;
acquiring parameter sequence information of each target parameter, and identifying difference distribution of sequence values in the parameter sequence information; and performing listing processing on the difference distribution corresponding to each target parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic to obtain a mapping parameter corresponding to each target parameter, and performing serialization processing on the mapping parameter corresponding to each target parameter according to the difference distribution corresponding to each target parameter to obtain a communication state sequence corresponding to the mapping parameter.
6. The method according to claim 1, wherein the step of adjusting the current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal to adjust the network resource occupation ratio corresponding to each office terminal specifically includes:
sequencing the office terminals according to the sequence of the priorities from high to low to obtain a priority sequence corresponding to the office terminals;
determining the occupation proportion of network resources occupied by the network resources corresponding to each office terminal, wherein the occupation proportion of each network resource and the network resources occupied by the network resources are in one-to-one correspondence;
sequencing the office terminals according to the sequence of the network resource occupation ratios from large to small to obtain a network resource occupation ratio sequence corresponding to the office terminals;
and adjusting the network resource occupation ratio corresponding to each office terminal according to the sequencing position of each office terminal in the priority sequence and the sequencing position of the office terminal in the network resource occupation ratio sequence.
7. A network resource distribution system applied to online office is characterized by comprising a network device and a plurality of office terminals, wherein the network device is communicated with the office terminals;
the network equipment is used for determining a first state parameter list between the network equipment and each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets; acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to each office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group; mapping each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determining a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature; determining target parameters in the reference parameter group by taking each mapping characteristic as a reference characteristic, and determining a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to the inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter characteristic; and according to the priority of the communication state sequence corresponding to each office terminal, adjusting the current network resource distribution corresponding to the office network cluster so as to adjust the network resource occupation ratio corresponding to each office terminal.
8. A network device in communication with a plurality of office terminals in a network resource allocation system, the network device comprising at least the following modules:
the list determining module is used for determining a first state parameter list between each office terminal in the network resource distribution system and determining a second state parameter list between office network clusters formed by all office terminals in the network resource distribution system; the state parameter list is used for representing the communication state and the network resource allocation state of the network equipment, the office terminal and the office network cluster; the first and second lists of state parameters comprise different categories of parameter sets;
the system comprises a characteristic acquisition module, a parameter selection module and a parameter selection module, wherein the characteristic acquisition module is used for acquiring the parameter characteristics of any parameter group of each office terminal in a first state parameter list corresponding to the office terminal, and determining the parameter group with the maximum class weight in a second state parameter list as a reference parameter group;
a topology determining module, configured to map each parameter feature to the reference parameter group according to preset parameter distribution information and resource allocation logic information of the network device to obtain a mapping feature corresponding to each parameter feature in the reference parameter group, and determine a list conversion logic topology between each first state parameter list and the second state parameter list according to each parameter feature and the mapping feature corresponding to each parameter feature;
a sequence determining module, configured to determine a target parameter in the reference parameter group by using each mapping feature as a reference feature, and determine a mapping parameter corresponding to each target parameter and a communication state sequence corresponding to the mapping parameter according to an inverse list conversion logic topology of the list conversion logic topology corresponding to each parameter feature;
and the resource adjusting module is used for adjusting the current network resource distribution corresponding to the office network cluster according to the priority of the communication state sequence corresponding to each office terminal so as to adjust the network resource occupation proportion corresponding to each office terminal.
9. A network device, comprising:
a processor, and
a memory and a network interface connected with the processor;
the network interface is connected with a nonvolatile memory in the access right verification device;
the processor, when running, retrieves a computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method of any of claims 1-6 above.
10. A readable storage medium applied to a computer, wherein the readable storage medium is burned with a computer program, and the computer program realizes the method of any one of the above claims 1-6 when running in the memory of the network device.
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| CN202010192209.8A CN111385226B (en) | 2020-03-18 | 2020-03-18 | Network resource allocation method, system and network equipment applied to online office |
| CN202011056910.3A CN112217744A (en) | 2020-03-18 | 2020-03-18 | Data processing method and system based on cloud computing and online office |
| CN202011056944.2A CN112217745A (en) | 2020-03-18 | 2020-03-18 | Online office processing method and network equipment based on intelligent terminal cloud computing |
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| CN202011056944.2A Division CN112217745A (en) | 2020-03-18 | 2020-03-18 | Online office processing method and network equipment based on intelligent terminal cloud computing |
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| CN202010192209.8A Active CN111385226B (en) | 2020-03-18 | 2020-03-18 | Network resource allocation method, system and network equipment applied to online office |
| CN202011056910.3A Withdrawn CN112217744A (en) | 2020-03-18 | 2020-03-18 | Data processing method and system based on cloud computing and online office |
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| CN112217745A (en) | 2021-01-12 |
| CN111385226B (en) | 2020-11-10 |
| CN112217744A (en) | 2021-01-12 |
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