CN1588881A - Method and device for controlling close ring feedback in IP network service quality management system - Google Patents
Method and device for controlling close ring feedback in IP network service quality management system Download PDFInfo
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Abstract
A control method for closed-loop feedback in IP network service quality management system is to acquire the operation state data of IP network with a network test device and further to analyses the network designed decisive data got by them then to adjust the IP network to judge if it receives new user service, namely, every user service should be permitted by the access control device before it enters into IP network and the base of the acc control device is got by real-time acquisition, analysis and design to the network actual operation state parameters. The closed-loop feedback includes two methods: a flow design and a network bottle-neck bandwidth design.
Description
Technical field
The present invention relates to the control method and the device of IP network service quality, exactly, relate to the control method and the device of closed loop feedback in a kind of IP network service quality administrative system, belong to network interconnection communication technical field.
Background technology
IP network especially is deployed in 3G or the soft switchcall server as the IP network of bearing bed, and is in large scale, and network service quality required harsh.But the transfer of data of traditional IP network (Internet) adopts the strategy of doing one's best, and can't realize differentiated services.
In order to address this problem, the IETF of International Standards Organization has proposed technology such as DiffServ system, IntServ system and MPLS-TE, is used to the business that realizes that service quality guarantees.Wherein the principal character of DiffServ system is that the flow in the IP network is classified, and different forwarding strategies is taked in different classification, thereby embodies the service quality difference of dissimilar flows.The principal character of IntServ system is to set up a virtual circuit by signaling between network end-to-end, this virtual circuit has certain bandwidth and time delay to guarantee, all routers relevant with this virtual circuit all will be kept the state information of this virtual circuit, up to its destruction.The principal character of MPLS-TE technology is at network edge mark message, and when the router of message passing through network core, these routers are only transmitted at the second layer of OSI seven layer reference model; The TE technology is the flow of automatic equalization given link in the network of having disposed MPLS then.How specifically above-mentioned IntServ and DiffServ System Framework have all just illustrated the enforcement target of this system and network to its support that should provide, do not have the explanation technical measures of enforcement.Present existing embodiment all be by the people network state is estimated after, adjust operation by manually finishing again.
But, make IP network that service quality guarantee can be provided, must in time find bottleneck link and bottleneck node on the network, and can adjust these bottleneck links and bottleneck node in real time, comprise and adopt the resource using method etc. of updating the equipment or planning bottleneck again.Present this artificial adjustment operation is impossible realize this target.In addition, after IP network deploy DiffServ system (comprising DiffServ system and any other technology of adopting of mixing), also need to adjust in real time the bandwidth of different flow class on the link according to network operation situation.But, in network in large scale, how to carry out network monitoring, and infer network operation state according to monitored results, then adjust network, to improve network operation efficient and to guarantee service quality, if these a series of tasks are very difficult and mysterious by manually finishing just.
Summary of the invention
The control method and the device that the purpose of this invention is to provide the closed loop feedback in a kind of IP network service quality administrative system, this method is according to cybernatic principle, the running state parameter that measures Network Based, automatic feedback adjusting and allocation of network resources, reduce in the present IP network service quality guarantee process and too rely on manually-operated present situation, to ensure professional service quality, make network be in the health status operation.
Method of the present invention is achieved in that the control method of the closed loop feedback in a kind of IP network service quality administrative system, it is characterized in that: when the user traffic flow through the admission control device permission enters IP network, thereby when changing the running status of IP network, adopt the network measure device to gather the running state data of IP network, and then analyze these running state data and obtain network planning decision-making data, according to these decision rule data IP network is implemented to adjust then, and judge whether to admit new customer service; Be that each customer service enters before the IP network, must be by the permission of admission control device, the decision-making data of foundation-network planning that admission control device is judged then are that the actual motion state parameter of network is gathered in real time, analyzes, planned and obtain.
The quantitative data that described network measure device is gathered the running status of IP network has at least: include but not limited to that Business Stream takies the state information in the processing time of network router and/or switch, include but not limited to that Business Stream transmits shared bandwidth, the state of network traffic of transmission rate in network, the QoS parameter that includes but not limited to time delay, shake, packet loss in the end-to-end and/or point-to-point link.
The running state data of described its IP network of being gathered of network measure device analysis is meant: converge the data of being gathered according to the time granularity of setting, the phase-split network running status, and then obtain following analysis result or statistics at least: the position of bottleneck link and bottleneck node, every kind of class of traffic handles up-time chart on each link, the time delay-time graph of a relation and the delay variation-time chart of end-to-end and/or point-to-point, the packet loss-time chart of link.
The described adjustment of IP network being implemented according to the decision rule data comprises at least: distribute bandwidth, control visit, scheduling queue.
Described closed-loop feedback control method has two kinds: class of traffic planning closed-loop feedback control method and network bottleneck bandwidth planning closed-loop feedback control method.
The operating procedure of described class of traffic planning closed-loop feedback control method is as follows:
(1) running state information of network measure parts collection network, described metrical information includes but not limited to: the various class of traffic of each routing node handling up on the time point of certain intervals, packet loss on the network, the absolute bandwidth of various class of traffic and relative bandwidth, the time delay end to end of various class of traffic, shake;
(2) all or part of network state information of being gathered is sent to class of traffic planning parts, regularly this network state information is calculated planning by class of traffic planning parts according to the class of traffic planning algorithm, obtain the new bandwidth of the various class of traffic of each routing node, these band data have constituted the class of traffic state matrix;
(3) dispose parts according to this new class of traffic band width configuration routing node, make network enter new running status; So far finish the close-loop feedback control of class of traffic planning;
(4) judge whether to continue to carry out feedback control manipulation, if return step (1); If not, end operation.
The operating procedure of described network bottleneck bandwidth planning planning closed-loop feedback control method is as follows:
(1) running state information of network measure parts collection network, described metrical information includes but not limited to: each interface of each routing node handling up on the time point of certain intervals, packet loss on the network, the band width in physical of each interface of each routing node and available bandwidth, the routing iinformation of each routing node;
(2) all or part of network state information of being gathered is sent to bottleneck bandwidth planning parts, regularly find bottleneck node and bottleneck link by bottleneck bandwidth planning parts according to bottleneck node link discovery algorithm, according to the node/link assignment bandwidth of bottleneck bandwidth planning algorithm, obtain traffic matrix again for being connected with described bottleneck node/bottleneck link;
(3) admit control assembly to judge whether to admit customer service according to traffic matrix, admit customer service if admit the control assembly decision, then when customer service enters network, this Business Stream is carried out mark and shaping operation, make network enter new running status by disposing parts; So far finish the close-loop feedback control of bottleneck bandwidth planning;
(4) judge whether to continue to carry out feedback control manipulation, if return step (1); If not, end operation.
Device of the present invention is achieved in that the control device of closed loop feedback in a kind of IP network service quality administrative system, each running state data that comprises real-time collection IP network, and it is analyzed the network measure device that obtains network planning decision-making statistics, it is characterized in that: this device also includes: the network planning decision-making statistics that provides according to the network measure device is carried out the bottleneck bandwidth planning parts and the class of traffic planning parts of the network planning respectively, receive the admittance control assembly of bottleneck bandwidth planning component controls, receive class of traffic planning parts and admit the dual control of control assembly so that finish the deployment parts that network is adjusted task.
Described bottleneck bandwidth planning functions of components is according to the network planning decision-making statistics bandwidth of bottleneck link to be divided according to the ratio of planning algorithm, bandwidth after will dividing again is assigned to other links of bottleneck node, form a traffic matrix table in logic, as the control foundation of admitting control assembly;
Described class of traffic planning functions of components is to calculate the proportionate relationship of various class of traffic on each link according to network planning decision-making statistics, again according to the rate variable trend in one period long period, redistribute the ratio between the class of traffic of link, and the absolute bandwidth value of calculating each class of traffic according to the actual bandwidth of proportionate relationship and link, form the class of traffic state matrix, with the foundation of the component controls flow of making arrangement, promptly be configured on the routing node by disposing the bandwidth value of parts with these class of traffic;
Whether described admittance control assembly is to judge whether Internet resources are enough when signing certain QoS level protocol, admitted and shaping so that controlled it before business datum enters network;
Described deployment parts are used to finish the adjustment of network: when customer service enters network, at Web portal these service traffics are carried out mark and shaping operation; And, change the configuration of corresponding network node or link according to the result that bottleneck bandwidth planning and class of traffic are planned.
Described deployment functions of components is by the node driver part relevant parameter of these parts to be deployed on router and the switch to realize, described node driver part is network route and the switching equipment towards various different manufacturers, be used to change the configuration of different manufacturers equipment, shield the difference of the configuration-direct of heterogeneous networks route and switching equipment, the device of unified configuration interface is provided for the closed-loop control module.
The Target IP network that the present invention is suitable for is the mixed system that adopts DiffServ system or DiffServ and other IPQoS technology, adopt technology of the present invention can realize that the QoS of this Target IP network ensures automation, and, network adjustment in the inventive method is for objective network, be the whole network adjustment of Target IP network bandwidth resources (various class of traffic), rather than technology such as similar MPLS-TE or OSPF load balancing are the single adjustment to particular link.Simultaneously, the inventive method is transparent to the Routing Protocol of the network operation, no matter Target IP network using RIP, road protocols havings such as OSPF, BGP any one or several.The inventive method can be improved the manually-operated low-level O﹠M present situation of dependence in the present IP network service quality guarantee process, reduce the dependence of service quality guarantee to network layer isomery technology, can ensure professional service quality, make network be in the health status operation.Therefore, the good application prospects that has of the present invention.
Description of drawings
Fig. 1 is the control flow schematic diagram of close-loop feedback control implementation method of the present invention.
Fig. 2 is the building block structure of close-loop feedback control device of the present invention and the schematic diagram of control data stream thereof.
Fig. 3 is the information exchanging process schematic diagram in the class of traffic planning close-loop feedback control flow process.
Fig. 4 is the associated components cooperation relation schematic diagram in the class of traffic planning close-loop feedback control flow process.
Fig. 5 is the operating procedure block diagram of class of traffic planning close-loop feedback control flow process.
Fig. 6 is the information exchanging process schematic diagram in the bottleneck bandwidth planning close-loop feedback control flow process.
Fig. 7 is the associated components cooperation relation schematic diagram in the bottleneck bandwidth planning close-loop feedback control flow process.
Fig. 8 is the operating procedure block diagram of bottleneck bandwidth planning close-loop feedback control flow process.
Embodiment
Referring to Fig. 1, the present invention is a kind of according to cybernatic principle, by closed-loop control, adjusts the method for the various QoS parameters of network automatically according to network operation state.When the user traffic through the admission control device permission enters IP network, when having changed the running status of IP network, the present invention obtains some network planning decision-making data through the analysis to these status datas again by the collection of network measure device to the IP network running state data.Again these decision rule data are used for the judgement that network adjustment and customer service are admitted.And customer service can not arbitrarily enter IP network, must just can enter IP network by after the permission of admission control mechanism.The decision-making data of foundation-network planning that admission control device is judged then are that the decision-making data that obtain are gathered, analyze, planned to the actual motion state parameter of network in real time.
User traffic is mainly reflected in the influence of IP network running status: take transmission bandwidth; Take the processing time of network router and switch, thereby changed time delay, shake, the packet loss of network link.And the adjustment that management system is implemented IP network mainly comprises: allocated bandwidth, access control, queue scheduling scheme etc.These adjustment make network performance can not produce sudden change owing to the change of user traffic.
Referring to Fig. 2, introduce the device of close-loop feedback control in a kind of IP network service quality administrative system of the present invention, comprise as lower member: gather each running state data of IP network in real time, and it is analyzed the network measure device that obtains network planning decision-making statistics; The network planning decision-making statistics that provides according to the network measure device is carried out the bottleneck bandwidth planning parts and the class of traffic planning parts of the network planning respectively, receive the admittance control assembly of bottleneck bandwidth planning component controls, receive class of traffic planning parts and admit the dual control of control assembly so that finish the deployment parts that network is adjusted task.Hollow arrow among the figure is represented network monitoring data stream, and the centre has leg-of-mutton fine line and represents control flows, and the heavy line arrow is represented customer service request and Disposition Instructions, and the thick dashed line arrow is represented class of traffic planning Disposition Instructions.
Wherein the network measure device uses link measurements, the measurement of handling up, end-to-end time delay and the jitter measurement of end-to-end flux class, the network node quantitative data of running status of technology collection IP network such as measurement of handling up of handling up.Method of measurement includes: use snmp protocol to obtain the state information of the network equipment; Flow collection instruments such as use Netflow/CFlow obtain state of network traffic: use the SAA technology of cisco router support and the quality of service characteristics that probe tool (possessing the initiatively computer or the embedded device of measurement capability) obtains network end-to-end.The data of being gathered have at least: include but not limited to that Business Stream takies the state information in the processing time of network router and/or switch, include but not limited to that Business Stream transmits shared bandwidth, the state of network traffic of transmission rate in network, the QoS parameter that includes but not limited to time delay, shake, packet loss in the end-to-end and/or point-to-point link.Then, the network measure device converges the data of being gathered according to the time granularity of setting (such as per 15 minutes), the phase-split network running status, and then obtain following analysis result or statistics at least: the position of bottleneck link and bottleneck node, every kind of class of traffic handles up-time chart on each link, the time delay-time graph of a relation and the delay variation-time chart of end-to-end and/or point-to-point, the packet loss-time chart of link.
Bottleneck bandwidth planning functions of components is according to the network planning decision-making statistics bandwidth of bottleneck link to be divided according to the ratio of planning algorithm, bandwidth after will dividing again is assigned to other links of bottleneck node, form a traffic matrix table in logic, as the control foundation of admitting control assembly; The bottleneck bandwidth planning algorithm is not launched to describe at this.
Class of traffic planning functions of components is to calculate the proportionate relationship of various class of traffic on each link according to network planning decision-making statistics, again according to the rate variable trend in one period long period, redistribute the ratio between the class of traffic of link, and the absolute bandwidth value of calculating each class of traffic according to the actual bandwidth of proportionate relationship and link, form the class of traffic state matrix, with the foundation of the component controls flow of making arrangement, promptly be configured on the routing node by disposing the bandwidth value of parts with these class of traffic;
Whether the function of admitting control assembly is to judge whether Internet resources are enough when signing certain QoS level protocol, admitted and shaping so that controlled it before business datum enters network;
Dispose the adjustment that parts are used to finish network, comprise two functions: when a) customer service enters network, these service traffics are carried out work such as mark, shaping at Web portal.B) result who obtains according to bottleneck bandwidth planning and class of traffic planning changes the configuration of corresponding network node or link.Dispose functions of components and be the relevant parameter of these parts to be deployed on router and the switch and realize by the node driver part.The node driver part is network route and the switching equipment towards various different manufacturers, this node driver part includes cli interface, SNMP interface and COPS interface at least, be used to change the configuration of different manufacturers equipment, shield the difference of the configuration-direct of heterogeneous networks route and switching equipment, the device of unified configuration interface is provided for the closed-loop control module.
Closed-loop feedback control method of the present invention has two kinds, introduces it below respectively:
Plan the sequence flow that information transmission, state transitions and the various operation of closed-loop feedback control method are carried out referring to Fig. 3～class of traffic shown in Figure 5.In this class of traffic planning closed-loop control process, elder generation is by the running state information of network measure parts collection network, for example: use snmp protocol to obtain the actual bandwidth of network link, the quantity of class of traffic and characteristic, the allocated bandwidth data of class of traffic, instruments such as use Netflow/CFlow obtain handling up of end-to-end flux class, use the SAA function and active measuring probe (the independently developed target flow class end-to-end time delay of can carrying out of cisco router, shake, the computer that network parameters such as packet loss are measured) etc. instrument obtains the end-to-end time delay of class of traffic, shake, characteristics such as packet loss.Above-mentioned data offer class of traffic planning parts.Class of traffic planning parts regularly (for example weekly) obtain the band data of the various class of traffic of each routing node according to the class of traffic planning algorithm, and these band data have constituted the class of traffic state matrix; Then by disposing parts according to these new class of traffic band width configuration routing nodes.So far finish class of traffic planning close-loop feedback control.
Referring to Fig. 6～network bottleneck bandwidth planning closed-loop feedback control method shown in Figure 8, in this bottleneck link planning close-loop feedback control process: use the SNMP technology to obtain handling up on the time point of each interface at certain intervals of each routing node, packet loss, the band width in physical of each interface of each routing node and available bandwidth, data such as the routing iinformation of each routing node, these data messages are provided for bottleneck link planning parts, bottleneck link planning parts regularly (for example weekly) are carried out bottleneck link node discovery algorithm, find bottleneck node and bottleneck link, carry out the bottleneck link planning algorithm then, the bandwidth of these bottleneck node/links is redistributed, generate traffic matrix, and further offer the admittance control assembly, as whether before business datum enters network, controlling it by the foundation of admittance and shaping.
Method of the present invention has been carried out test and has been implemented, testing program is to dispose in an environment that 2 station servers, 4 network measure servers are arranged, manage a network (router model comprises Cisco, Juniper and Huawei) that 20 routers are arranged, each parts all are designed to one or more CORBA object in the scheme, carry out message communicating by the mechanism that this distributed software system of CORBA provides.Test is successful, has tentatively realized goal of the invention.
Claims (10)
1, the control method of closed loop feedback in a kind of IP network service quality administrative system, it is characterized in that: when the user traffic flow through the admission control device permission enters IP network, thereby when changing the running status of IP network, adopt the network measure device to gather the running state data of IP network, and then analyze these running state data and obtain network planning decision-making data, according to these decision rule data IP network is implemented to adjust then, and judge whether to admit new customer service; Be that each customer service enters before the IP network, must be by the permission of admission control device, the decision-making data of foundation-network planning that admission control device is judged then are that the actual motion state parameter of network is gathered in real time, analyzes, planned and obtain.
2, the control method of closed loop feedback according to claim 1, it is characterized in that: the quantitative data that described network measure device is gathered the running status of IP network has at least: include but not limited to that Business Stream takies the state information in the processing time of network router and/or switch, include but not limited to that Business Stream transmits shared bandwidth, the state of network traffic of transmission rate in network, the QoS parameter that includes but not limited to time delay, shake, packet loss in the end-to-end and/or point-to-point link.
3, the control method of closed loop feedback according to claim 1, it is characterized in that: the running state data of described its IP network of being gathered of network measure device analysis is meant: converge the data of being gathered according to the time granularity of setting, the phase-split network running status, and then obtain following analysis result or statistics at least: the position of bottleneck link and bottleneck node, every kind of class of traffic handles up-time chart on each link, the time delay-time graph of a relation and the delay variation-time chart of end-to-end and/or point-to-point, the packet loss-time chart of link.
4, the control method of closed loop feedback according to claim 1 is characterized in that: the described adjustment of IP network being implemented according to the decision rule data comprises at least: distribute bandwidth, control visit, scheduling queue.
5, the control method of closed loop feedback according to claim 1 is characterized in that: described closed-loop feedback control method has two kinds: class of traffic planning closed-loop feedback control method and network bottleneck bandwidth planning closed-loop feedback control method.
6, the control method of closed loop feedback according to claim 5 is characterized in that: the operating procedure of described class of traffic planning closed-loop feedback control method is as follows:
(1) running state information of network measure parts collection network, described metrical information includes but not limited to: the various class of traffic of each routing node handling up on the time point of certain intervals, packet loss on the network, the absolute bandwidth of various class of traffic and relative bandwidth, the time delay end to end of various class of traffic, shake;
(2) all or part of network state information of being gathered is sent to class of traffic planning parts, regularly this network state information is calculated planning by class of traffic planning parts according to the class of traffic planning algorithm, obtain the new bandwidth of the various class of traffic of each routing node, these band data have constituted the class of traffic state matrix;
(3) dispose parts according to this new class of traffic band width configuration routing node, make network enter new running status; So far finish the close-loop feedback control of class of traffic planning;
(4) judge whether to continue to carry out feedback control manipulation, if return step (1); If not, end operation.
7, the control method of closed loop feedback according to claim 5 is characterized in that: the operating procedure of described network bottleneck bandwidth planning planning closed-loop feedback control method is as follows:
(1) running state information of network measure parts collection network, described metrical information includes but not limited to: each interface of each routing node handling up on the time point of certain intervals, packet loss on the network, the band width in physical of each interface of each routing node and available bandwidth, the routing iinformation of each routing node;
(2) all or part of network state information of being gathered is sent to bottleneck bandwidth planning parts, regularly find bottleneck node and bottleneck link by bottleneck bandwidth planning parts according to bottleneck node link discovery algorithm, according to the node/link assignment bandwidth of bottleneck bandwidth planning algorithm, obtain traffic matrix again for being connected with described bottleneck node/bottleneck link;
(3) admit control assembly to judge whether to admit customer service according to traffic matrix, admit customer service if admit the control assembly decision, then when customer service enters network, this Business Stream is carried out mark and shaping operation, make network enter new running status by disposing parts; So far finish the close-loop feedback control of bottleneck bandwidth planning;
(4) judge whether to continue to carry out feedback control manipulation, if return step (1); If not, end operation.
8, the control device of closed loop feedback in a kind of IP network service quality administrative system, each running state data that comprises real-time collection IP network, and it is analyzed the network measure device that obtains network planning decision-making statistics, it is characterized in that: this device also includes: the network planning decision-making statistics that provides according to the network measure device is carried out the bottleneck bandwidth planning parts and the class of traffic planning parts of the network planning respectively, receive the admittance control assembly of bottleneck bandwidth planning component controls, receive class of traffic planning parts and admit the dual control of control assembly so that finish the deployment parts that network is adjusted task.
9, the control device of closed loop feedback according to claim 8 is characterized in that:
Described bottleneck bandwidth planning functions of components is according to the network planning decision-making statistics bandwidth of bottleneck link to be divided according to the ratio of planning algorithm, bandwidth after will dividing again is assigned to other links of bottleneck node, form a traffic matrix table in logic, as the control foundation of admitting control assembly;
Described class of traffic planning functions of components is to calculate the proportionate relationship of various class of traffic on each link according to network planning decision-making statistics, again according to the rate variable trend in one period long period, redistribute the ratio between the class of traffic of link, and the absolute bandwidth value of calculating each class of traffic according to the actual bandwidth of proportionate relationship and link, form the class of traffic state matrix, with the foundation of the component controls flow of making arrangement, promptly be configured on the routing node by disposing the bandwidth value of parts with these class of traffic;
Whether described admittance control assembly is to judge whether Internet resources are enough when signing certain QoS level protocol, admitted and shaping so that controlled it before business datum enters network;
Described deployment parts are used to finish the adjustment of network: when customer service enters network, at Web portal these service traffics are carried out mark and shaping operation; And, change the configuration of corresponding network node or link according to the result that bottleneck bandwidth planning and class of traffic are planned.
10, the control device of closed loop feedback according to claim 9, it is characterized in that: described deployment functions of components is by the node driver part relevant parameter of these parts to be deployed on router and the switch to realize, described node driver part is network route and the switching equipment towards various different manufacturers, be used to change the configuration of different manufacturers equipment, shield the difference of the configuration-direct of heterogeneous networks route and switching equipment, the device of unified configuration interface is provided for the closed-loop control module.
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| CN102025733A (en) * | 2010-12-07 | 2011-04-20 | 南京邮电大学 | Health degree evaluation method based on cognitive network |
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| CN101199167B (en) * | 2005-05-13 | 2011-12-07 | 英国电讯有限公司 | flow control in a switch of a communication network |
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Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6563810B1 (en) * | 1999-09-30 | 2003-05-13 | Qualcomm Incorporated | Closed loop resource allocation |
| EP1457013A1 (en) * | 2001-12-21 | 2004-09-15 | Nokia Corporation | Traffic control in an ip based network |
-
2004
- 2004-07-01 CN CNB2004100623117A patent/CN100459514C/en not_active Expired - Fee Related
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| CN105024875B (en) * | 2014-04-30 | 2018-06-19 | 中国电信股份有限公司 | The network flow-speed measurement method and system of broadband sorted users |
| CN105099936B (en) * | 2015-08-31 | 2018-10-12 | 联想(北京)有限公司 | A kind of network resource configuration method, equipment and network system |
| CN105099936A (en) * | 2015-08-31 | 2015-11-25 | 联想(北京)有限公司 | Network resource configuration method and apparatus as well as network system |
| CN106100924A (en) * | 2016-06-15 | 2016-11-09 | 成都科来软件有限公司 | The method and system that a kind of service logic and performance state represent simultaneously |
| CN106100924B (en) * | 2016-06-15 | 2019-06-11 | 成都科来软件有限公司 | The method and system that a kind of service logic and performance state show simultaneously |
| CN110647115A (en) * | 2019-07-18 | 2020-01-03 | 浙江蓝卓工业互联网信息技术有限公司 | Data acquisition method based on industrial internet operating system |
| CN110647115B (en) * | 2019-07-18 | 2021-04-06 | 浙江蓝卓工业互联网信息技术有限公司 | Data acquisition method based on industrial internet operating system |
| WO2021098190A1 (en) * | 2019-11-20 | 2021-05-27 | 华为技术有限公司 | Time delay guarantee method, system and apparatus, and computing device and storage medium |
| CN113132415A (en) * | 2021-05-10 | 2021-07-16 | 安徽思珀特信息科技有限公司 | Threat discovery system based on network flow analysis |
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