CN108011763B - Communication data network investment construction evaluation method - Google Patents
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Abstract
The invention discloses a communication data network investment construction evaluation method, which comprises the following steps: s1: acquiring bottleneck bandwidth, available bandwidth and inherent loss of a communication data network link; s2: analyzing the bandwidth demand and the service flow growth rate of each service type in the region through a flow statistical technique, and solving the bandwidth demand sum of each service type in the region; s3: calculating and obtaining the actual bandwidth demand of the current communication data network link according to a bandwidth demand prediction model; s4: acquiring a traffic convergence ratio of a communication data network link, predicting the traffic demand of a company cross section service in a region according to a national network communication part, and calculating to obtain the actual bandwidth demand of the communication data network link in the coming years by a backtracking method; s5: determining the investment construction direction in the next years according to the service performance of the communication data network; and adjusting the service flow distribution proportion and the service priority of each service type in each year in the future according to the service flow increase rate of each service type.
Description
Technical Field
The invention relates to a communication data network investment construction evaluation method.
Background
At present, communication networks play a very important role in various industries, and meanwhile, cloud computing and big data have also played a sound role in the times. Under the background of the times, the informatization construction of the power grid is continuously evolving towards the direction, and plays a key role in guaranteeing and promoting the business of the power grid. Meanwhile, most backbone communication network equipment of the power grid adopts traditional communication equipment, and a distance is reserved from the SDN network architecture which is successfully evolved to be flexible, elastic and easy to expand, so that performance bottlenecks are found, service bandwidth requirements are predicted, and the service bandwidth requirements are used for guiding future network planning and construction.
Disclosure of Invention
The invention aims to provide a communication data network investment construction evaluation method which can calculate performance bottlenecks, predict service bandwidth requirements and guide future network planning and construction.
In order to solve the technical problem, the invention provides a communication data network investment construction evaluation method, which comprises the following steps:
s1: acquiring bottleneck bandwidth, available bandwidth and inherent loss of a communication data network link;
s2: analyzing the bandwidth demand and the service flow growth rate of each service type in the region through a flow statistical technique, and solving the bandwidth demand sum of each service type in the region;
s3: calculating and obtaining the actual bandwidth demand of the current communication data network link according to a bandwidth demand prediction model;
s4: acquiring a traffic convergence ratio of a communication data network link, predicting the traffic demand of a company cross section service in a region according to a national network communication part, and calculating to obtain the actual bandwidth demand of the communication data network link in the coming years by a backtracking method;
s5: determining an investment construction direction in the next years according to the bottleneck bandwidth, the available bandwidth, the actual bandwidth requirement of the current communication data network link and the actual bandwidth requirement of the communication data network link in the next years; and adjusting the service flow distribution proportion of each service type and the service priority of each service type in each year in the future according to the service flow increase rate of each service type.
Further, the method for acquiring the bottleneck bandwidth of the communication data network link in step S1 adopts a variable length single packet measurement method.
Further, the method for calculating the bottleneck bandwidth of the communication data network link by using the variable length single-packet measurement method specifically comprises the following steps:
according to the technical principle of variable-length single-packet measurement, the delay of a data packet k in a link i is calculated,
time of arrival of data packet from source to link l
Comprises the following steps:
wherein s iskIs the size of the kth packet, biIs the capacity of link i, diFor a fixed delay of the link i,
measuring the inherent time delay caused by the access of the host to the communication network;
the time for packet k to leave link l is
Comprises the following steps:
the delay t experienced by packet k at link l is therefore:
equating T as end-to-end path delay T, then there is
Wherein, S is the size of the data packet, B is the bottleneck bandwidth of the end-to-end path, and D is the transmission delay of the end-to-end path;
the bottleneck bandwidth B of the end-to-end path is obtained as follows:
further, the available bandwidth in step S1 is obtained by a self-loading periodic flow measurement method.
Further, the available bandwidth described in step S1 is obtained by using the Pathload tool measurement.
Further, the step S2 specifically includes:
s21: adopting a flow statistic technology to collect service flows of a plurality of sites in a current area, and dividing the sites into different service types according to different services;
s22: and counting the service flow of each service type in the region, analyzing the bandwidth demand and the service flow growth rate of each service type in the region, and solving the sum of the bandwidth demands of each service type in the region.
Further, the step S3 specifically includes:
according to a bandwidth demand prediction model:
and because of bandwidth loss C in communication data network link, there are
The light-load service flow in the above formula is the bandwidth requirement of the current actual communication data network link of the communication data network.
The invention has the beneficial effects that: the method and the device perform comprehensive system analysis on the performance of the communication data network, calculate the network performance bottleneck, measure the bottleneck bandwidth and the available bandwidth of an end-to-end path, determine the convergence ratio of the network, predict the bandwidth requirement based on the current network load, predict the bandwidth requirement in the next 5 years by adopting a backtracking method, provide a reliable data base for the future communication data network planning and investment construction direction, and adjust the service flow distribution proportion of each service type and the service priority of each service type in each year in the future according to the service flow growth rate of each service type.
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The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a extremely south New office to reach completion end-to-end path bottleneck bandwidth fitting straight line;
Detailed Description
The investment construction assessment method for the communication data network shown in fig. 1 comprises the following steps:
s1: acquiring bottleneck bandwidth, available bandwidth and inherent loss of a communication data network link;
s2: analyzing the bandwidth demand and the service flow growth rate of each service type in the region through a flow statistical technique, and solving the bandwidth demand sum of each service type in the region;
s3: calculating and obtaining the actual bandwidth demand of the current communication data network link according to a bandwidth demand prediction model;
s4: acquiring a traffic convergence ratio of a communication data network link, predicting the traffic demand of a company cross section service in a region according to a national network communication part, and calculating to obtain the actual bandwidth demand of the communication data network link in the coming years by a backtracking method;
s5: determining an investment construction direction in the next years according to the bottleneck bandwidth, the available bandwidth, the actual bandwidth requirement of the current communication data network link and the actual bandwidth requirement of the communication data network link in the next years; and adjusting the service flow distribution proportion of each service type and the service priority of each service type in each year in the future according to the service flow increase rate of each service type.
The following describes each component in detail:
according to an embodiment of the present application, the method for acquiring the bottleneck bandwidth of the communication data network link in step S1 adopts a variable length single packet measurement method.
According to an embodiment of the present application, the method for calculating the bottleneck bandwidth of the communication data network link by using the variable length single-packet measurement method specifically includes:
according to the technical principle of variable-length single-packet measurement, the delay of a data packet k in a link i is calculated,
time of arrival of data packet from source to link l
Comprises the following steps:
wherein s iskIs the size of the kth packet, biIs the capacity of link i, diFor a fixed delay of the link i,
measuring the inherent time delay caused by the access of the host to the communication network;
the time for packet k to leave link l is
Comprises the following steps:
the delay t experienced by packet k at link l is therefore:
equating T as end-to-end path delay T, then there is
Wherein, S is the size of the data packet, B is the bottleneck bandwidth of the end-to-end path, and D is the transmission delay of the end-to-end path;
the bottleneck bandwidth B of the end-to-end path is obtained as follows:
when the end-to-end path bottleneck bandwidth actually needs to be measured, the host simultaneously sends a series of ICMP ECHO request data packets with different sizes to the starting node loopback port and the leaf node loopback port for multiple times, the starting node and the leaf node return ICMP ECHO response packets with the same size, and the minimum RTT values in the round-trip delay samples are respectively recorded, wherein the RTT values can be considered that the queuing delay is eliminated, namely D in a formula obtains the minimum value. According to the current universal standard of the Internet, when the size of a data packet exceeds 1500 bytes, the data packet is transmitted in a fragmentation mode, therefore, the size of the data packet measured this time is controlled between 108 bytes and 1458 bytes, the data packet is increased by a step size of 50 bytes, an ICMP ECHO request packet is sent for 20 times in each data packet size, the minimum RTT value is respectively recorded, the process is circulated, the measurement is carried out from nine am to 5 pm, the process is circulated for 11 times in total, a group of bandwidth values can be obtained in each circulation, and the statistical error is eliminated through the method. Since the unit of the data packet is byte, the unit of the RTT value is ms, and the measured minimum RTT value time includes the round trip time of the end-to-end path, taking the above factors into consideration, the end-to-end path delay T becomes:
in the above formula, the time T unit is ms, the data packet S unit is byte, the bottleneck bandwidth B unit is Mbps,
theoretically, the relationship between the time T and the size S of the data packet should be a linear relationship, but actually, due to interference of many uncertain factors, such as sudden fluctuation of background traffic, inconsistency of end-to-end back-and-forth paths, and incomplete elimination of queuing delay of the data packet based on a minimum RTT value measured by a statistical method, a difference may exist between a slope value of a fitted straight line and a real bandwidth, for example, fig. 1 shows that a straight line is fitted from extremely south new bureau to an end-to-end path bottleneck bandwidth of a put-through bureau, it can be seen that a slope of a fitted straight line from extremely south new bureau to the put-through bureau is 41.4156, that is, a bottleneck bandwidth value is 41.4156Mbps, the difference between the value and the real value is. Therefore, the method of finding the bandwidth using line fitting does not work well in practice.
And (3) the bottleneck bandwidth is obtained by using straight line fitting, the data to be measured has a good linear distribution relation, otherwise, the slope of the fitted straight line cannot represent the real bandwidth value. Analysis shows that the data points exhibit a distribution as shown in fig. 1, because in the case of small variation of the packet size, interference (which may be understood as noise) caused by various factors makes the measured RTT value inaccurate, and in such a case, even a weak noise acts on the RTT value, the distribution of the data points is seriously affected. The noise carried by the RTT value is inherently determined by the network system and cannot be avoided, so that the influence of the noise can be weakened by enlarging the variable quantity of the data packet, and in an extreme case, two points of the minimum data packet and the maximum data packet can be selected to perform linear fitting to calculate the slope of the data packet, so that the evaluated value can approach the true value of the bottleneck bandwidth as much as possible.
Based on the above thought, the size of the transmitted data packet is sequentially expressed as S from small to large1,S2…,S28The size of the data packet is increased from 108 bytes to 1458 bytes by a step size of 50 bytes, and exactly 28 data points are obtained, each data packet corresponds to a round trip delay minimum RTT value, which is respectively recorded as RTT1leaf,RTT2leaf…,RTT28leafAnd RTT1root,RTT2root…,RTT28rootTherefore, the following formula is easily obtained:
the two formulas can be derived in a simultaneous manner:
wherein leaf represents an end-to-end path leaf node, root represents an end-to-end path root node,
the end-to-end bottleneck bandwidth value calculated by the method is shown in table 1, and the measured bandwidth value is extremely end-to-end bottleneck bandwidths from the central machine room of the south new office to the leaf sites respectively. Most of the measured bandwidth result values are distributed between 400Mbps and 700Mbps, so that the end-to-end bottleneck bandwidth measured value at this time takes a representative value of 650 Mbps. The bandwidth of each direct interconnection interface of the routers in the actual communication network is 1Gbps, bandwidth loss caused by various factors in an end-to-end path is considered, and the current end-to-end bottleneck bandwidth measurement result 650Mbps is well consistent with the actual situation. The measurement results in table 1 are all the results of measurement performed during the daytime busy period, and the measurement results still match with the actual conditions, and if the accuracy of the measurement results is to be further improved, the measurement can be performed during the nighttime low-peak period of traffic, and the number of times of sending ICMP ECHO request packets is further increased (in this document, the number of times of sending ICMP ECHO request packets per time is 20 due to the time relationship of data collection).
In addition, the inherent loss of the bandwidth in the end-to-end path is found through the measurement, the loss is a fixed constant and is about 350Mbps, namely, for the network interconnection interface being 1Gbps, the bandwidth value which can be really and effectively used is about 650Mbps, and the loss is only related to inherent factors such as optical transmission medium loss, equipment installation link butt joint loss, the number of nodes passing through, transmission distance and the like. This inherent loss can therefore be taken into account when making a prediction of bandwidth requirements.
TABLE 1 end-to-end bottleneck Bandwidth measurement
According to an embodiment of the present application, the available bandwidth in step S1 is obtained by a self-loading periodic flow measurement method, which specifically adopts a path tool to measure and obtain the available bandwidth of the communication data network.
The Pathload tool is a technology for measuring available bandwidth of an end-to-end path based on the development of a self-loading periodic flow measurement technology (SLPS). The core idea is that under the condition that the speed of the detection packet flow is greater than the available bandwidth of the measurement path, the one-way time delay of the detection packet flow is in an ascending trend, otherwise, the time delay is not obviously changed. The rate of the probing packet flow is adjusted at the source end by adopting a binary search algorithm (Pathload tool) or a linear algorithm (IGI tool), and the rate of the probing packet flow at the source end can be considered to be equal to the available bandwidth of the measurement path at the inflection point of the curve by monitoring the one-way delay at the sink end. Thus, the Pathload application may be used to determine the theoretical available bandwidth of a network path between two points, enabling testing even when each network device is under load. The Path _ snd program runs on the server side to receive a connection request from a remote host (client), and the Path _ rcv program runs on the client side, and specifies the Path server by using the remote host name or IP address in a command line and initiates data connection.
For example, available bandwidth measurements were made using the Pathload tool for Longsheng, triangle station, Wansheng customer center, overhaul base to extremely south New office data center.
Executing the command of/path _ snd-i at the server side of the south new office at extremely and executing the command of/path _ rcv-s 172.28.253.130 at the leaf node client side needing measurement will display the result information of the available bandwidth test, taking the triangle station test result as an example, as follows:
Receiver helong-virtual-machine starts measurements at sender172.28.253.130on Thu Jun 15 10:08:05 2017
Interrupt coalescion detected
Receiving Fleet 0,Rate 83.59Mbps
Receiving Fleet 1,Rate 155.53Mbps
Receiving Fleet 2,Rate 103.97Mbps
Receiving Fleet 3,Rate 111.83Mbps
Receiving Fleet 4,Rate 115.33Mbps
Receiving Fleet 5,Rate 105.15Mbps
Receiving Fleet 6,Rate 105.15Mbps
Receiving Fleet 7,Rate 95.64Mbps
Receiving Fleet 8,Rate 105.15Mbps
Receiving Fleet 9,Rate 102.72Mbps
Receiving Fleet 10,Rate 103.23Mbps
Receiving Fleet 11,Rate 105.15Mbps
Receiving Fleet 12,Rate 105.15Mbps
Receiving Fleet 13,Rate 105.15Mbps
Receiving Fleet 14,Rate 96.74Mbps
Receiving Fleet 15,Rate 105.15Mbps
Receiving Fleet 16,Rate 103.27Mbps
Receiving Fleet 17,Rate 103.27Mbps
Receiving Fleet 18,Rate 103.27Mbps
Receiving Fleet 19,Rate 105.15Mbps
Receiving Fleet 20,Rate 105.15Mbps
Receiving Fleet 21,Rate 105.15Mbps
Receiving Fleet 22,Rate 96.74Mbps
Receiving Fleet 23,Rate 105.15Mbps
Receiving Fleet 24,Rate 105.60Mbps
Receiving Fleet 25,Rate 105.80Mbps
*****RESULT*****
Available bandwidth range:101.78-109.81(Mbps)
Measurements finished at Thu Jun 15 10:08:31 2017
Measurement latency is 26.02sec
by the method, 5 stations are randomly selected, and the available bandwidth measurement results of the Longsheng institute, the triangular station, the Wansheng customer center, the overhaul base station to extremely south New office data center are shown in table 2.
Table 2 five available bandwidth measurement results for representative sites to extremely south new office
| Hump and prosperity place | Triangular post | Triangular station | Customer center | Maintenance base | |
| Available bandwidth | 87.44-99.74(Mbps) | 84.04-96.80(Mbps) | 91.68-109.81(Mbps) | 75.32-168.11(Mbps) | 94.30-123.90(Mbps) |
Because the uplink flow of each station in the overall architecture of the extremely south power grid exceeds ninety percent and all passes through the Qijiang station to the extremely south New office, the uplink flows of the five stations in the table 2 also pass through the Qijiang station, the remaining available bandwidth value of the stations is between 100Mbps and 150Mbps, and the typical value is 150 Mbps. It was previously measured that the bottleneck bandwidth was 650Mbps, so bandwidth values close to 500Mbps have been used. And because there is a certain error in both the measurement result by the statistical method and the currently measured bottleneck bandwidth and available bandwidth. Therefore, an intermediate typical value can be taken, the used bandwidth is 450Mbps, and the value is close to 80% of the bottleneck bandwidth value, so that the whole network is in heavy-load operation, and once the traffic bursts, the network is congested and stuck.
According to an embodiment of the present application, the step S2 specifically includes:
s21: adopting a flow statistic technology to collect service flows of a plurality of sites in a current area, and dividing the sites into different service types according to different services;
s22: and counting the service flow of each service type in the region, analyzing the bandwidth demand and the service flow growth rate of each service type in the region, and solving the sum of the bandwidth demands of each service type in the region.
For example, in this embodiment, the applicant performs statistics on the service flows of 11 sites in a randomly selected area, and the results are shown in table 3, where all the results in the table are peak data of the measurement time. It can be seen from the table that the business office occupies a very large amount of bandwidth, the transformer substation generates a very small amount of traffic, and the three top-ranked services of bandwidth occupancy are management information service, information intranet (office), and unified screen monitoring, respectively. The sum of the bandwidths of the 7 offices is 272.52Mbps, and the bandwidth occupation of the 4 substations is 1.5608 Mbps. There are 19 business offices in Qijiang electric network, 46 transformer substations in whole, and assuming that the service bandwidth occupation distribution of other untested sites is consistent with that in Table 3, the bandwidth demand sum is:
table 3 random 11 site traffic flow statistics
According to an embodiment of the present application, step S3 specifically includes
According to a bandwidth demand prediction model:
and because there is inherent loss C of bandwidth in communication data network link, and C value is a constant C ≈ 350Mbps, so there is
The bandwidth value calculated by the above formula is the actual bandwidth requirement of the current communication data network link established by the communication data network.
For example, in view of the fact that the peak aggregate traffic in the current measurement and calculation network can reach 450Mbps, the actual link bandwidth demand is estimated based on the current service bandwidth occupation condition as follows:
considering that the actual real link bandwidth is 1Gbps, the link needs to be expanded properly.
According to an embodiment of the present application, in step S4, to obtain the traffic convergence ratio of the communication data network link, the actual bandwidth requirement of the communication data network link in the coming years is obtained by calculating through a backtracking method according to the traffic requirement prediction of the regional company profile by the national network communication department.
For example, according to the forecast of the national network headquarters on the cross-section traffic demand of county companies, the traffic demand is expected to reach 1603.52Mbps (the concurrency rate is calculated according to 100%) in the next 5 years. According to an actual measurement result, the actual concurrency ratio (flow convergence ratio) of the power grid in Qijiang is 1:2, so that the actual bandwidth requirement in the next 5 years is as follows through backtracking and reverse calculation:
considering the inherent loss of bandwidth in the communication data network link, the actual link bandwidth requirement in the next 5 years can be obtained as follows:
in summary, if the current network is operated under light load, the current network link needs to be expanded to 1475Mbps or more. If the network runs under light load in the next 5 years, the capacity of the network link needs to be expanded to be greater than or equal to 2354.4 Mbps.
According to an embodiment of the present application, step S5 specifically includes
Determining an investment construction direction in the next years according to the bottleneck bandwidth, the available bandwidth, the actual bandwidth requirement of the current communication data network link and the actual bandwidth requirement of the communication data network link in the next years; and adjusting the service flow distribution proportion of each service type and the service priority of each service type in each year in the future according to the service flow increase rate of each service type. When the service traffic of each service type in the future is distributed, the ratio required by the service traffic of each service type in the next few years can be predicted according to the service traffic growth rate of each service type, then the bandwidth occupation ratio and the priority of each service type are re-planned according to the predicted ratio of the service traffic of each service type in the next few years, more service traffic is distributed to the service types with more service traffic, the priority is set, the service traffic requirement of the service type is prioritized, and the utilization rate of a communication data network can be improved instead of adopting the current average distribution method.
Finally, the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all of them should be covered in the claims of the present invention.
Claims (7)
1. A communication data network investment construction assessment method is characterized by comprising the following steps:
s1: acquiring bottleneck bandwidth, available bandwidth and inherent loss of a communication data network link;
s2: analyzing the bandwidth demand and the service flow growth rate of each service type in the region through a flow statistical technique, and solving the bandwidth demand sum of each service type in the region;
s3: calculating and obtaining the actual bandwidth demand of the current communication data network link according to a bandwidth demand prediction model;
s4: acquiring a traffic convergence ratio of a communication data network link, predicting the traffic demand of a company cross section service in a region according to a national network communication part, and calculating to obtain the actual bandwidth demand of the communication data network link in the coming years by a backtracking method;
s5: determining an investment construction direction in the next years according to the bottleneck bandwidth, the available bandwidth, the actual bandwidth requirement of the current communication data network link and the actual bandwidth requirement of the communication data network link in the next years; and adjusting the service flow distribution proportion of each service type and the service priority of each service type in each year in the future according to the service flow increase rate of each service type.
2. The method according to claim 1, wherein the method for acquiring bottleneck bandwidth of the communication data network link in step S1 is a variable length single-packet measurement method.
3. The method according to claim 2, wherein the method for calculating the bottleneck bandwidth of the communication data network link by using the variable length single-packet measurement method specifically comprises:
according to the technical principle of variable-length single-packet measurement, the delay of a data packet k in a link i is calculated,
time of arrival of data packet from source to link l
Comprises the following steps:
wherein s iskIs the size of the kth packet, biIs the capacity of link i, diFor a fixed delay of the link i,
measuring the inherent time delay caused by the access of the host to the communication network;
the time for packet k to leave link l is
Comprises the following steps:
the delay t experienced by packet k at link l is therefore:
equating T as end-to-end path delay T, then there is
Wherein, S is the size of the data packet, B is the bottleneck bandwidth of the end-to-end path, and D is the transmission delay of the end-to-end path;
the bottleneck bandwidth B of the end-to-end path is obtained as follows:
4. the method according to claim 1, wherein the available bandwidth is obtained by a self-loading periodic flow measurement method in step S1.
5. The method according to claim 4, wherein the available bandwidth in step S1 is measured and obtained by using a Path tool.
6. The method for investment construction evaluation of a communication data network according to claim 1, wherein the step S2 specifically comprises:
s21: adopting a flow statistic technology to collect service flows of a plurality of sites in a current area, and dividing the sites into different service types according to different services;
s22: and counting the service flow of each service type in the region, analyzing the bandwidth demand and the service flow growth rate of each service type in the region, and solving the sum of the bandwidth demands of each service type in the region.
7. The method for investment construction evaluation of a communication data network according to claim 1, wherein the step S3 specifically comprises:
s31: according to a bandwidth demand prediction model:
and because of bandwidth loss C in communication data network link, there are
The light-load service flow in the above formula is the bandwidth requirement of the current actual communication data network link of the communication data network.
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| EP1876758A2 (en) * | 2002-02-01 | 2008-01-09 | Microsoft Corporation | Peer-to-Peer method of quality of service (QoS) probing and analysis and infrastructure employing same |
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| EP1876758A2 (en) * | 2002-02-01 | 2008-01-09 | Microsoft Corporation | Peer-to-Peer method of quality of service (QoS) probing and analysis and infrastructure employing same |
| CN101018164A (en) * | 2007-02-28 | 2007-08-15 | 西南科技大学 | A TCP/IP network performance evaluation prediction method |
| CN104717108A (en) * | 2015-03-30 | 2015-06-17 | 北京邮电大学 | Network bottleneck bandwidth measurement method based on active measurement and packet gap model |
| CN106341247A (en) * | 2015-07-09 | 2017-01-18 | 中国电力科学研究院 | Reliable communication channel configuration method for bidirectional interactive electricity information acquisition system |
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