CN112953766B - Network comprehensive safety assessment method for active and passive acquisition of distributed probes - Google Patents
Network comprehensive safety assessment method for active and passive acquisition of distributed probes Download PDFInfo
- Publication number
- CN112953766B CN112953766B CN202110145376.1A CN202110145376A CN112953766B CN 112953766 B CN112953766 B CN 112953766B CN 202110145376 A CN202110145376 A CN 202110145376A CN 112953766 B CN112953766 B CN 112953766B
- Authority
- CN
- China
- Prior art keywords
- network
- parameters
- area
- simulator
- active
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Environmental & Geological Engineering (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to the technical field of network flow detection, and aims to provide a network comprehensive safety assessment method for active and passive acquisition of a distributed probe, which comprises the following steps of 1: acquiring various parameters of a network area to be detected in real time, dividing the detection area, and executing the step 2; step 2: acquiring various parameters in the network area in a simulator, simulating the network environment of the network area to be detected by the simulator, and executing the step 3; and step 3: performing regression calculation through the parameters in the step 2 to obtain a quality detection model parameter P0And Q0Substituting the parameters in the step 1 into the simulation equation, combining the parameters with the parameters a in the step 30And b0Obtaining a network quality value L of the first divided region1And sequencing the network quality values of the plurality of divided areas to obtain the network security quality value of the network area to be detected and storing corresponding data in the cloud computing server.
Description
Technical Field
The invention relates to the field of network flow testing, in particular to a network comprehensive safety evaluation method for active and passive acquisition of distributed probes.
Background
The traditional IP network management has limitations in the aspects of device monitoring, operation guarantee, etc., and the traditional way of acquiring management information through a network management interface for management cannot guarantee effective monitoring of the service quality of the IP network. The monitoring capability of improving the performance quality of the IP network is required to be targeted, and the distributed probe device is used to perform large-scale network packet transceiving test and environmental context awareness monitoring, so as to actively monitor and measure network performance such as delay, packet loss rate, distributed service routing, DNS resolution measurement, HTTP simulation measurement, network bandwidth, network security, and the like of the IP network.
Aiming at the test and evaluation requirements of a data communication network and a computer interconnection network, a performance quality analysis and evaluation method in a network operation state is researched, key technologies such as real-time online monitoring in the operation state, comprehensive fault positioning of an IP network based on a probe, a distributed service quality measurement probe facing the IP network, operation and maintenance management of the IP network, active measurement by using the distributed probe and the like are broken through, a network performance online test prototype and a network performance online test platform are designed, and a technical foundation is laid for monitoring and measuring and evaluating the service quality of the high-speed IP network.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a network comprehensive safety evaluation method for active and passive acquisition of a distributed probe, which can comprehensively analyze the flow quality of a network area to be researched.
The method is realized by the following technical scheme: a network comprehensive safety assessment method for active and passive acquisition of distributed probes comprises the following steps:
step 1: acquiring various parameters of a network area to be detected in real time, dividing the detection area, and executing the step 2;
step 2: acquiring various parameters in the network area in a simulator, simulating the network environment of the network area to be detected by the simulator, and executing the step 3;
and step 3: performing regression calculation through the parameters in the step 2 to obtain a quality detection model parameter P0And Q0Wherein, the calculation mode is as follows:
in the formula, P0Is t0Network fluctuation frequency, Q, in time periods0Is t0Failure rate of the network in time periods, I being the number of active IP addresses, ImNumber of destination IP addresses, t0For the time of acquiring data, m is the number of packets, n is the number of bytes, alpha is the number of nodes in all network regions in the simulator, beta is the number of nodes in the detection region in the simulator, a0For the weighting of the fluctuation frequencies in all network areas, b0Is the failure weight in all network areas.
And 4, step 4: the parameters in the step 1 are brought into a simulation equation, and are combined with a in the step 30And b0Obtaining a network quality value L of the first divided region1，
In the formula I1Number of active IP addresses, I, for a first partitionm1Number of destination IP addresses, t, for a first partition1Time, m, for obtaining data in a first partitioned area1Number of packets for the first partition, n1Is the number of bytes, alpha, of the first partition area1Is the number of nodes, beta, of a first partition area in a network area to be detected1And calculating the network quality values of the plurality of divided areas according to the calculation mode for the number of nodes in all network areas in the area to be detected to obtain the network security quality value of the network area to be detected, and storing corresponding data in the cloud computing server.
Preferably, in the step 4, the weight a of the fluctuation frequency in all the network areas0And failure weight b in all network areas0And obtaining the target through regression calculation.
Preferably, in step 1 and step 2, various parameters of the network area, including an active IP address, a destination IP address, the number of packets, and the number of bytes, are acquired and recorded through a network packet switching technique.
Preferably, in step 2, the emulator includes a plurality of subnets, and each subnet corresponds to one link.
Preferably, the method for obtaining parameters in the simulator comprises the following steps:
step 51: opening a port mapping function at a switch port of the emulator, and executing step 51;
step 52: mapping the flow of each port to a port provided with a flow probe, and collecting flow parameters of a plurality of ports through the port;
step 53: obtaining the flow parameter of the middle molecular net of the simulator, calculating the flow parameter on the subnet to obtain a0And b0。
The invention also provides a computer-readable storage medium having one or more computer programs stored thereon, which when executed by one or more processors implement the method for network integrated security assessment according to any of claims 1 to 5.
The invention also provides a network comprehensive security assessment device, which comprises:
one or more processors;
a computer readable storage medium storing one or more computer programs; the one or more computer programs, when executed by the one or more processors, implement the method for network integrated security assessment of any of claims 1-5.
The invention also provides a network comprehensive security evaluation system, which comprises: the system comprises a cloud computing server, a switch and a flow probe in a simulator; the simulator is used for calculating the weight of fluctuation frequency and the fault weight in all network areas, and acquiring various parameters of the network areas through the flow probe, wherein the parameters comprise an active IP address, a target IP address, the number of packets and the number of bytes;
the cloud computing server stores one or more computer programs that, when executed by one or more processors with which it has, implement the network integrated security assessment method of claim 1 or 2.
Preferably, the cloud computing server is used for storing the weight a of the fluctuation frequency in all network areas0And failure weight b in all network areas0。
The invention has the beneficial effects that:
the invention relates to a network comprehensive safety evaluation method based on a distributed probe, which comprises the steps of firstly simulating a subnet environment of a network area to be researched by utilizing an emulator, in order to conveniently and quickly obtain data, arranging the distributed probe at a port of a switch, obtaining flow information of each subnet and a plurality of links at one time through the probe, dividing the subnets, carrying out regression calculation according to the divided network area to obtain model parameters, finally calculating the network quality value of the divided network area to be detected through the obtained parameters of the area to be detected and combining the model parameters, and finally obtaining the network quality of the subnets in each divided area of the network area to be detected through the size sorting of the network quality values.
Drawings
Fig. 1 is a general flowchart of a scene layout method according to the present invention;
FIG. 2 is a schematic diagram of a curvature scene feature extraction according to the present invention;
FIG. 3 is a schematic diagram of the operation of the simulator of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to fig. 1 to 3 of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other implementations made by those of ordinary skill in the art based on the embodiments of the present invention are obtained without inventive efforts.
In the description of the present invention, it is to be understood that the terms "counterclockwise", "clockwise", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate orientations or positional relationships based on those shown in the drawings, and are used for convenience of description only, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be considered as limiting.
Referring to fig. 1, a network comprehensive security assessment method for active and passive acquisition of a distributed probe establishes an index system for performance quality and security state assessment analysis according to characteristics of a network bearer service, senses the quality of the network bearer service in real time, and presents a network quality change condition to a network manager, the security assessment method includes the following steps:
step 1: acquiring various parameters of a network area to be detected in real time, dividing the detection area, and executing the step 2;
step 2: acquiring various parameters in the network area in a simulator, simulating the network environment of the network area to be detected by the simulator, and executing the step 3;
and step 3: performing regression calculation through the parameters in the step 2 to obtain a quality detection model parameter P0And Q0Wherein, the calculation mode is as follows:
in the formula, P0Is t0Network fluctuation frequency, Q, in time periods0Is t0Failure rate of the network in time periods, I being the number of active IP addresses, ImNumber of destination IP addresses, t0For the time of acquiring data, m is the number of packets, n is the number of bytes, alpha is the number of nodes in all network regions in the simulator, beta is the number of nodes in the detection region in the simulator, a0For the weighting of the fluctuation frequencies in all network areas, b0Is the failure weight in all network areas.
And 4, step 4: the parameters in the step 1 are brought into a simulation equation, and are combined with a in the step 30And b0Obtaining a network quality value L of the first divided region1，
In the formula I1Number of active IP addresses, I, for a first partitionm1Number of destination IP addresses, t, for a first partition1Time, m, for obtaining data in a first partitioned area1Number of packets for the first partition, n1Is the number of bytes, alpha, of the first partition area1Is the number of nodes, beta, of a first partition area in a network area to be detected1And calculating the network quality values of the plurality of divided areas according to the calculation mode for the number of nodes in all network areas in the area to be detected to obtain the network security quality value of the network area to be detected, and storing corresponding data in the cloud computing server.
Specifically, the model parameter P may be directly obtained by accessing data stored in the cloud computing server0、Q0、a0And b0. In practice, the model parameters P0、Q0The calculation method is as follows: i, I corresponding to each moment is obtained by obtaining various network parameters of the divided network areas in the simulator in advancem、t0M, n, finally calculating corresponding reference model parameters P by using regression calculation0、Q0. Calculating a reference model parameter P0、Q0、a0And b0And then storing corresponding data in a cloud computing server, wherein 2 modes can be selected, namely storing the average value of the parameters and storing the instantaneous value at a certain moment according to the user requirement but P0、Q0And I, Im、t0M, n are to be correlated, in a first way, the first 6 parameters are all mean values, a0And b0Also mean value, according to a second mode, P0、Q0And I, Im、t0M, n are instantaneous values at a certain time, a0And b0Also instantaneous values in the calculation.
In addition, all the divided network areas can be calculated by dividing I,Im、t0M and n, calculating the average value obtained by multiple times of calculation and storing the average value in a cloud computing server, and calculating the reference model parameter P by operating a corresponding program0And Q0Further, the weight a of the fluctuation frequency in all the network areas is obtained through a regression equation0And failure weight b in all network areas0。
In particular, by I1、Im1、t1、m1、n1，α1，β1All can be obtained by the existing probe, binding to a0And b0(i.e. P)0、Q0、I、Im、t0M, n, which is not described herein) to obtain L1，
It is worth to be noted that, through the above calculation process, the network quality value in the divided to-be-detected region can be obtained through L1For subsequent plurality LiThe estimation can be performed by calculating the specific L according to the methodiCalculating according to the user requirement, and if the time is sufficient or the required result is accurate enough, sequentially calculating the divided LiAnd i is 1.2.3 … j, j is the number of detection regions of the area to be detected.
Specifically, in step 1 and step 2, various parameters of the network area, including an active IP address, a destination IP address, the number of packets, and the number of bytes, are obtained and recorded through a network data packet switching technique.
Specifically, in step 2, the emulator includes a plurality of subnets, and each subnet corresponds to one link.
Specifically, referring to fig. 3, the method for obtaining each parameter in the simulator includes the following steps:
step 51: opening a port mapping function at a switch port of the emulator, and executing step 51;
step 52: mapping the flow of each port to a port provided with a flow probe, and collecting flow parameters of a plurality of ports through the port;
step 53: referring to fig. 2, the flow parameters of the middle subnet of the simulator are obtained, and the flow parameters on the subnet are calculated to obtain a0And b0。
Specifically, the emulator may employ ROM II, which is an extension of standard RMON. The standard RMON consists of Manager and Agent, which is usually implemented by a physical hardware device. An Agent monitors traffic information for a subnet (typically a link) according to RMON standards, and Manager obtains measurement data from the Agent via SNMP. ROM II is added with a plurality of measurement items such as protocol distribution (protocol dist) and probe configuration (probeConfig) to standard RMON. The flow probe is a hardware device for acquiring network flow, and is connected in series in a link needing to capture flow when in use, and the flow probe acquires flow information by shunting digital signals on the link.
ROM II flow probe means that the probe provides support for ROM II. The traffic probe provides support for links at 1000Mbit/s and below.
The flow probe is expensive and not suitable for large-area installation, so the flow probe is more suitable for being implemented inside some important nodes of a convergence layer or an access layer. The flow probe is very convenient to install, and can completely record the flow information of RMON II in real time, which is valuable for analyzing the performance and the fault of a network. If a flow probe is connected to a Port of a Catalyst series switch in series, a Port mapping (Span Port) function is started, and the flow of each Port is mapped to the Port provided with the flow probe, the flow information of a plurality of ports can be collected only by monitoring one Port. Port mapping (Span Port) is a concept proposed by Cisco corporation that can be implemented on its Catalyst family of devices. Switches from other vendors, such as Foundation corporation, also provide port mapping functionality, but currently do not support cross-switch mapping.
Typical flow probe devices are Netscout by Netscout and NetMetrix series products by Agilent, both based on RMON II. Existing probe types include OC-3 ATM probes, half/full duplex ethernet probes, E1 wide area network probes, GE probes, etc., and the collected traffic information includes the following parts: source IP address, destination IP address, time, number of packets, number of bytes.
The flow probe can record and store the data in a database in real time, and simultaneously monitor and graphically display the statistical information of the data in real time through management software of the flow probe. Like Sniffer, the data capture function of the traffic probe can be used for collecting network traffic in real time in a short time, and the collected traffic data can contain information of the whole packet or only a part of the packet. Protocol analysis can also be performed using captured packets, but it is not as powerful as Sniffer.
The flow probe is simple to install and can be used for a high-speed (gigabit) network without influencing the network performance; the flow probe can capture packets in real time; but the cost is high, different physical links need to use different probes due to different sampling methods;
the network comprehensive safety evaluation device of the invention comprises: a processor and a computer-readable storage medium storing a computer program which, when executed by the processor, implements a network integrated security assessment method capable of the present invention. Because the program logic of each step is different, a special processor or a general-purpose chip can be adopted to execute the corresponding step, so that the processing efficiency of the whole program is improved, and the cost is reasonably controlled. Therefore, those skilled in the art can adaptively design and adjust the number of processors and computer programs in the network integrated security evaluation device according to the specific application.
In summary, the network area is divided according to the size of the network area to be detected, the block for partitioning calculates the network quality value of the network area, because of the large fluctuation factors in the network environment, including network time delay, packet loss, jitter, bandwidth, routing, throughput and other factors, in order to ensure the accuracy of network quality evaluation, the network area to be detected is simulated by establishing a simulator, a certain number of subnets and links are planned, the partition is calculated, each parameter of the partition is obtained by arranging a distributed probe at the port of the switch, the measurement and calculation are carried out for multiple times, and the quality detection model parameter P is obtained by regression calculation0And Q0Further obtain the weight a of the fluctuation frequency0Fault weight b0And further P when calculating the network area to be detected1And Q1Wherein the time t measured in the simulator0And measuring and calculating the time t of the region to be detected1Can be the same or different, and the achieved effect is also different.
Claims (8)
1. A network comprehensive safety assessment method for active and passive acquisition of distributed probes is characterized by comprising the following steps:
step 1: acquiring parameters of a network area to be detected in real time, dividing the detection area, wherein the parameters comprise an active IP address, a target IP address, the number of packets and the number of bytes, and executing the step 2;
step 2: acquiring various parameters in the network area in a simulator, simulating the network environment of the network area to be detected by the simulator, and executing the step 3;
and step 3: obtaining the parameters in the step 2 to perform regression calculation to obtain the parameters of the quality detection model
And
and storing the data in a cloud computing server, wherein the computing mode is as follows:
wherein L is the network area to be detected in
A network quality value in a time period,
is composed of
The frequency of network fluctuations in the time period,
is composed of
The failure rate of the network over a period of time,
the number of active IP addresses,
The number of destination IP addresses,
For the time of acquiring data, m is the number of packets, n is the number of bytes,
the number of nodes for all network regions in the emulator,
to detect the number of nodes in a region in the simulator,
is the weight of the fluctuation frequency in all network areas,
calculating the divided network areas for the fault weights in all network areas, and calculating the quality detection model parameters in a simulator
And
further, the weight of the fluctuation frequency in all the network areas is obtained through a regression equation
And failure weight in all network regions
；
And 4, step 4: the parameters in the step 1 are brought into a simulation equation and combined with the parameters in the step 3
And
calculating a network quality value for a first partitioned area in a simulator
The specific calculation process is
In the formula (I), the compound is shown in the specification,
the number of active IP addresses of the first divided area,
The number of the destination IP addresses of the first divided area,
The time for obtaining data in the first partitioned area,
The number of the packets in the first divided area,
Is the number of bytes of the first partition area,
the number of nodes of the first partitioned area in the network area to be detected,
and calculating the network quality values of the plurality of divided areas according to the calculation mode for the number of the nodes in all the network areas in the area to be detected, and storing the obtained network security quality value of the network area to be detected in the cloud computing server.
2. The method for comprehensively evaluating the network security of the active and passive acquisition of the distributed probe according to claim 1, wherein in the step 1 and the step 2, various parameters of the network area, including an active IP address, a destination IP address, the number of packets, and the number of bytes, are acquired and recorded through a network data packet switching technique.
3. The method for evaluating network integration security of active and passive acquisition of distributed probe according to claim 1, wherein in step 2, the simulator comprises a plurality of subnets, and each subnet corresponds to one link.
4. The method for evaluating network comprehensive security of active and passive acquisition of distributed probe according to claim 3, wherein the method for obtaining parameters in the simulator comprises the following steps:
step 51: opening a port mapping function at a switch port of the emulator, and executing step 51;
step 52: mapping the flow of each port to a port provided with a flow probe, and collecting flow parameters of a plurality of ports through the port;
step 53: obtaining the flow parameters of the molecular net in the middle of the simulator, and calculating the flow parameters on the sub-net to obtain
And
。
5. a computer-readable storage medium, wherein one or more computer programs are stored on the computer-readable storage medium, and wherein the one or more computer programs, when executed by one or more processors, implement the network integrated security assessment method according to any one of claims 1 to 4.
6. A network integrated security evaluation apparatus, comprising:
one or more processors;
a computer readable storage medium storing one or more computer programs; the one or more computer programs, when executed by the one or more processors, implement the method for network integrated security assessment of any of claims 1-4.
7. A network integrated security evaluation system, comprising: the system comprises a cloud computing server, a switch and a flow probe in a simulator; wherein the content of the first and second substances,
the simulator is used for calculating the weight of the fluctuation frequency and the fault weight in all network areas and acquiring various parameters of the network areas through the flow probe, wherein the parameters comprise an active IP address, a target IP address, the number of packets and the number of bytes;
the cloud computing server stores one or more computer programs that, when executed by one or more processors with which it has, implement the network integrated security assessment method of claim 1 or 2.
8. The system according to claim 7, wherein the cloud computing server is configured to store weights of fluctuation frequencies in all network regions
And failure weight in all network regions
。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110145376.1A CN112953766B (en) | 2021-02-02 | 2021-02-02 | Network comprehensive safety assessment method for active and passive acquisition of distributed probes |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110145376.1A CN112953766B (en) | 2021-02-02 | 2021-02-02 | Network comprehensive safety assessment method for active and passive acquisition of distributed probes |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112953766A CN112953766A (en) | 2021-06-11 |
| CN112953766B true CN112953766B (en) | 2022-03-15 |
Family
ID=76241816
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110145376.1A Active CN112953766B (en) | 2021-02-02 | 2021-02-02 | Network comprehensive safety assessment method for active and passive acquisition of distributed probes |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112953766B (en) |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9218266B2 (en) * | 2012-07-23 | 2015-12-22 | Infosys Limited | Systems and methods for replication of test results in a network environment |
| CN103684893B (en) * | 2012-09-04 | 2017-07-07 | 清华大学 | A kind of network simulation analytical equipment and method |
| CN102891779B (en) * | 2012-09-27 | 2014-10-22 | 北京网瑞达科技有限公司 | Large-scale network performance measuring system and method for IP network |
| CN104935472B (en) * | 2014-03-20 | 2019-06-21 | 中国移动通信集团上海有限公司 | A kind of network quality detection method and emulator |
| CN106899448B (en) * | 2017-01-22 | 2019-06-28 | 中国人民解放军信息工程大学 | Suitable for network state and the integrated dynamic weight index appraisal procedure of performance measurement |
| CN111010312B (en) * | 2019-11-28 | 2021-11-19 | 网宿科技股份有限公司 | Network quality evaluation method and server |
-
2021
- 2021-02-02 CN CN202110145376.1A patent/CN112953766B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN112953766A (en) | 2021-06-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Geng et al. | {SIMON}: A simple and scalable method for sensing, inference and measurement in data center networks | |
| US20220038356A1 (en) | Methods, systems, and apparatus to generate information transmission performance alerts | |
| US9210050B2 (en) | System and method for a testing vector and associated performance map | |
| US8369227B2 (en) | Management system and information processing system | |
| CN112311614B (en) | System, method and related device for evaluating network node related transmission performance | |
| CA2569750A1 (en) | Real-time network analyzer | |
| CN108809708A (en) | A kind of powerline network node failure detecting system | |
| JP2008283621A (en) | Apparatus and method for monitoring network congestion state, and program | |
| CN109479014A (en) | Method, system and the computer-readable medium for carrying out network test configuration are scanned using virtual LAN (VLAN) | |
| Spring et al. | Reverse engineering the Internet | |
| CN107483487A (en) | A kind of multidimensional network security measure method based on TOPSIS | |
| Sommers et al. | Laboratory-based calibration of available bandwidth estimation tools | |
| Sommers et al. | A geometric approach to improving active packet loss measurement | |
| US20120287793A1 (en) | Method and apparatus for distinguishing and sampling bi-directional network traffic at a conversation level | |
| Alkenani et al. | Network Monitoring Measurements for Quality of Service: A Review. | |
| CN112953766B (en) | Network comprehensive safety assessment method for active and passive acquisition of distributed probes | |
| Genin et al. | Where in the Internet is congestion? | |
| CN108650190A (en) | A kind of data distribution systems and data distributing method of multipath | |
| CN108494625A (en) | A kind of analysis system on network performance evaluation | |
| JP2008244635A (en) | System, method, and program for monitoring network, and collecting device | |
| TWI792072B (en) | Intelligent measurement system for software-defined network quality of experience and method thereof | |
| Tang et al. | ACE: An accurate and cost-effective measurement system in SDN | |
| Eittenberger et al. | Atheris: A First Step Towards a Uni? ed Peer-to-Peer Traf? c Measurement Framework | |
| Hirsch et al. | Performance Analysis of C2IS in Distributed Tactical Networks | |
| Beyene et al. | SyFi: A systematic approach for estimating stateful firewall performance |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |