CN114095806A - Flow distribution method and device for aggregated link, optical line terminal and medium - Google Patents

Flow distribution method and device for aggregated link, optical line terminal and medium Download PDF

Info

Publication number
CN114095806A
CN114095806A CN202010755745.4A CN202010755745A CN114095806A CN 114095806 A CN114095806 A CN 114095806A CN 202010755745 A CN202010755745 A CN 202010755745A CN 114095806 A CN114095806 A CN 114095806A
Authority
CN
China
Prior art keywords
port
adjusted
traffic
rate
monitoring period
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.)
Pending
Application number
CN202010755745.4A
Other languages
Chinese (zh)
Inventor
廖志成
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
ZTE Corp
Original Assignee
ZTE Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by ZTE Corp filed Critical ZTE Corp
Priority to CN202010755745.4A priority Critical patent/CN114095806A/en
Priority to PCT/CN2021/108872 priority patent/WO2022022558A1/en
Publication of CN114095806A publication Critical patent/CN114095806A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q11/00—Selecting arrangements for multiplex systems
    • H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
    • H04Q11/0062—Network aspects
    • H04Q11/0067—Provisions for optical access or distribution networks, e.g. Gigabit Ethernet Passive Optical Network (GE-PON), ATM-based Passive Optical Network (A-PON), PON-Ring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/005—Control of transmission; Equalising
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • H04L45/24—Multipath
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • H04L45/24—Multipath
    • H04L45/245—Link aggregation, e.g. trunking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H04L47/80—Actions related to the user profile or the type of traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q11/00—Selecting arrangements for multiplex systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q11/00—Selecting arrangements for multiplex systems
    • H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
    • H04Q11/0062—Network aspects
    • H04Q2011/0086—Network resource allocation, dimensioning or optimisation

Abstract

The embodiment of the invention discloses a flow distribution method and device for an aggregation link, an Optical Line Terminal (OLT) and a medium. The traffic distribution method for the aggregation link comprises the following steps: predicting the predicted average rate of the ports in the current monitoring period and the average value of the rates of the ports at least based on the port flow in the last monitoring period of the ports, wherein the average value of the rates is the average value of the predicted average rates; the port flow of the port to be adjusted in the current monitoring period is adjusted to the adjusted port according to load sharing elements, wherein the load sharing elements comprise preset message length intervals with different rates in the port flow, the port to be adjusted is a port of which the predicted flow rate is greater than the average rate value, and the adjusted port is a port of which the predicted flow rate is less than the average rate value, so that the flow of each physical port of the aggregation link can be dynamically distributed, the load difference of each physical port is reduced, and the resource waste is reduced.

Description

Flow distribution method and device for aggregated link, optical line terminal and medium
Technical Field
The embodiment of the invention relates to the technical field of an Optical Line Terminal (OLT), in particular to a flow distribution method and device for an aggregation link, an OLT and a medium.
Background
With the popularization of the 5G technology, various APP with high bandwidth requirements continuously emerge like bamboo shoots in spring after rain, and higher requirements are provided for data forwarding of OLT local-side equipment such as comprehensive access media gateway equipment. In the process of data forwarding, especially for data forwarding with ultra-large flow, even a forwarding chip with ultra-high capability may face the problems of insufficient bandwidth, insufficient reliability of network transmission, flow blocking link, and the like. One solution is provided by link aggregation techniques, which are techniques that aggregate multiple physical links together to form a complete logical link. The aggregated link bandwidth is the sum of the bandwidths of all the physical ports, so that the bandwidth of a data forwarding channel is expanded, and the bottleneck of the bandwidth is solved; in addition, a plurality of physical links are aggregated to form a logical channel, which means that even if one link is damaged due to some reason, data can be adjusted to be transmitted by using other links and then completely sent to thousands of households, so that the reliability of the network is improved undoubtedly, and the interlocking risk caused by link blockage is solved.
However, ieee802.3ad defines a framework structure and rules for link aggregation, but does not define which method is used for implementation. The following scenario may occur after link aggregation is performed on multiple physical ports: a port with high load transmission may encounter high burst traffic, which causes the traffic of the port to be over-limited; some physical ports have high load to forward data, while other physical ports are in a state of low flow load and bandwidth not fully utilized for a long time, which causes resource waste. Therefore, how to dynamically allocate the traffic of each physical port of the aggregated link and reduce the load difference of each physical port as much as possible becomes a problem to be solved urgently.
Disclosure of Invention
One or more embodiments of the present disclosure are to provide a method, an apparatus, an optical line terminal OLT and a medium for allocating traffic of an aggregated link, which can dynamically allocate traffic of each physical port of the aggregated link, reduce load difference of each physical port, and reduce resource waste.
To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:
in a first aspect, a traffic allocation method for an aggregated link is provided, where the method includes: predicting the predicted average rate of the port and the average value of the rates of all the ports in the current monitoring period at least based on the port flow in the last monitoring period of the port, wherein the average value of the rates is the average value of the predicted average rates; adjusting the port flow of the port to be adjusted in the current monitoring period to the adjusted port according to a load sharing element, wherein the load sharing element comprises preset message length intervals with different rates in the port flow, the port to be adjusted is a port of which the predicted flow rate is greater than the average rate value, and the adjusted port is a port of which the predicted flow rate is less than the average rate value.
In a second aspect, a traffic distribution apparatus for an aggregated link is provided, the apparatus comprising: the rate prediction module is used for predicting the predicted average rate of the ports and the average value of the rates of all the ports in the current monitoring period at least based on the port traffic in the last monitoring period of the ports, wherein the average value of the rates is the average value of the predicted average rates; an adjusting module, configured to adjust a port traffic of a port to be adjusted in a current monitoring period to an adjusted port according to a load sharing element, where the load sharing element includes preset packet length intervals of different rates in the port traffic, the port to be adjusted is a port of which the predicted traffic rate is greater than the average rate value, and the adjusted port is a port of which the predicted traffic rate is less than the average rate value.
In a third aspect, an optical line terminal is proposed, which comprises a traffic distribution apparatus for aggregated links as described above.
In a fourth aspect, a storage medium for a computer-readable storage is presented, the storage medium storing one or more programs which, when executed by one or more processors, implement the steps of the traffic allocation method for aggregated links as described above.
As can be seen from the technical solutions provided in one or more embodiments of the present description, in the traffic allocation method for an aggregated link provided in the embodiments of the present invention, port traffic in at least one previous monitoring period of a port is used to predict a predicted average rate of the port in a current monitoring period and a rate average value of all ports, a port whose predicted average rate is greater than the rate average value is used as a port to be adjusted, and a port whose predicted average rate is less than the rate average value is used as an adjusted port, so as to adjust port traffic of the port to be adjusted to an adjusted port according to a load subunit serving as an adjustment granularity, where the load subunit may include preset packet length intervals of different rates in the port traffic, may perform adjustment according to the preset packet length intervals of different rates in the port traffic, and may dynamically allocate traffic of each physical port of the aggregated link, the load difference of each physical port is reduced, and the resource waste is reduced.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of one or more embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present specification, and that other drawings can be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a schematic step diagram of a traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating steps of another traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of steps of a traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 4 is a schematic diagram illustrating steps of a further traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 5 is a schematic diagram illustrating steps of a further traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 6 is a schematic diagram illustrating steps of a further traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 7 is a schematic diagram illustrating steps of a further traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 8 is a schematic diagram illustrating steps of a further traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a traffic distribution apparatus for aggregated links according to an embodiment of the present invention.
Fig. 10 is a schematic structural diagram of an optical line terminal according to an embodiment of the present invention.
Fig. 11 is a schematic diagram of traffic prediction in another traffic allocation method for an aggregated link according to an embodiment of the present invention.
Fig. 12 is a flow adjustment diagram in a flow allocation method for an aggregated link according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiment or embodiments are only a part of the embodiments of the present specification, but not all embodiments. All other embodiments that can be derived by one of ordinary skill in the art from one or more embodiments described herein without making any inventive step are intended to be within the scope of this document.
The method for allocating the flow of the aggregation link, provided by the embodiment of the invention, is suitable for the aggregation link, and can dynamically adjust the flow of the ports among all the physical ports of the aggregation link, thereby realizing the dynamic allocation of the flow of the aggregation link and reducing the load difference of all the physical ports. The traffic distribution method for the aggregated link and the steps thereof provided in this specification will be described in detail below.
It should be noted that, in the traffic allocation method for an aggregation link provided in the embodiment of the present invention, port traffic of a part of physical ports is dynamically adjusted between the ports under the condition that total port traffic of each physical port of the aggregation link is kept unchanged in a current monitoring period, and a port to be adjusted are both ports on the aggregation link.
Example one
Referring to fig. 1, a schematic step diagram of a traffic allocation method for an aggregated link according to an embodiment of the present invention is shown. It can be understood that the traffic allocation method for the aggregated link provided by the embodiment of the present invention is applicable to the optical line terminal OLT having the aggregated link. The flow distribution method for the aggregation link comprises the following steps:
step 10: predicting the predicted average rate of the ports in the current monitoring period and the average rate of all the ports at least based on the port flow in the last monitoring period of the ports, wherein the average rate is the average value of the predicted average rate;
the method and the device have the advantages that the predicted average speed of the port in the current monitoring period can be predicted according to the historical port flow, and the flow demand of a complex flow field is met. The port flow of each port can be directly obtained through the current network monitoring module, extra calculation cost is not required to be introduced, and time is saved for rapid distribution of the port flow. Secondly, load sharing elements are divided according to the message length, the load sharing elements are used as the adjustment granularity to distribute the port flow of each port, the current network monitoring module can directly obtain the statistics of the message length, and time is saved for the rapid distribution of the port flow.
The current network monitoring module may periodically obtain traffic statistics information of each port in the aggregation link and statistics information of message length in traffic of each port. The predicted average rate of the port in the current monitoring period is the throughput rate of the port traffic in the current monitoring period, that is, the sum of the port traffic in the current monitoring period is divided by the current monitoring period.
After the traffic statistical information of each port is read from the current network monitoring module, the average rate of the port traffic of each port in the last monitoring period is calculated, the average rate of the port traffic of one port in one monitoring period is taken as a sampling sample, the predicted average rate of the port in the current monitoring period can be predicted at least based on the historical average rate of the port traffic of the last monitoring period, and the average rate of all the ports can be obtained based on the predicted average rate of each port, so that preparation is made for distinguishing the next port to be adjusted from the adjusted port.
Step 20: and adjusting the port flow of the port to be adjusted in the current monitoring period to the adjusted port according to load sharing elements, wherein the load sharing elements comprise preset message length intervals with different rates in the port flow, the port to be adjusted is a port of which the predicted flow rate is greater than the average rate value, and the adjusted port is a port of which the predicted flow rate is less than the average rate value.
The current network monitoring module periodically acquires the traffic statistical information of each port and the statistical information of the message length in the traffic of each port. The rate of each preset message length interval in the current monitoring period can be calculated based on the statistical information of the message length in each port flow, the preset message length interval can be set according to the flow distribution requirement, for example, the granularity of the load sharing element which needs to be adjusted each time is larger, and the message length range set by the preset message length interval can be larger, and vice versa. The rate of the preset message length interval is the passing rate of messages with different lengths in the preset message length interval in the current monitoring period, namely the flow sum of the messages with different lengths in the current monitoring period is divided by the current monitoring period.
The predicted average rate of the port to be adjusted in the current monitoring period is greater than the average rate, so that the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted, and the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted from the port to be adjusted, and needs to share the traffic with the port to be adjusted.
The definition of the preset message length interval can be referred to table 1, the coding ID is made for different preset message length intervals in table 1 to facilitate subsequent calls, and the preset message length intervals with different rates in table 1 become the minimum granularity at which the flow distribution can be adjusted.
TABLE 1
Interval with preset message length Interval ID with preset message length Rate of speed
(0,64] 1 rate_1
(64,128] 2 rate_2
(128,256] 3 rate_3
(256,512] 4 rate_4
(512,1024] 5 rate_5
(1024,1500] 6 rate_6
Referring to fig. 2, in some embodiments, the method for allocating traffic provided by the embodiment of the present invention includes: predicting the predicted average rate of the port in the current monitoring period at least based on the port flow in the last monitoring period of the port, which specifically comprises the following steps:
step 100: acquiring N sampling samples of a port based on port flow, wherein the N sampling samples comprise the average rate of the port flow in N monitoring periods including the last monitoring period;
the average rate of each port in the previous monitoring period can be calculated according to the traffic statistic information of each port, that is, the sum of the traffic in the previous monitoring period is divided by the one monitoring period. And regarding the average rate in the last monitoring period as a sampling sample, and regarding a plurality of monitoring periods including the last monitoring period as a sampling time window. And when the monitoring time accumulation reaches the effective sampling time threshold, N data samples are obtained, a least square mathematical model is established for the N data samples, and the predicted average rate of each port in the current monitoring period is predicted by using the least square mathematical model.
Step 110: and predicting the predicted average rate of the port in the current monitoring period based on the N sampling samples.
After N sampling samples are obtained, the average prediction rate of the port flow in the current monitoring period can be predicted based on a least square mathematical model or other mathematical algorithms, and the flow demand of a complex flow field is met.
The specific steps of the traffic distribution method can be seen in the following example:
initializing monitoring parameters of a network monitoring module, configuring a monitoring period into T seconds, and setting the default time to be 30 s; effective sampling time threshold is TsampleSecond, default is 300 s; the sampling time window is NxT seconds, and the default of N is 10; the dependent variable of the serial number of the monitoring period is n and is initialized to 1. Defining load sharing element as the minimum unit capable of adjusting when the port carries out load distribution, here, the minimum unit is a message length interval, and initializing a message length interval table as shown in table 1.
Start the network monitoring module, at presentThe start time is recorded as tstartObtaining the port number, assuming p ═ p1,...,pn}。
For the first port p1Obtaining the flow rate in the first monitoring period and recording as cnt1nCalculating the average rate of the port in the monitoring period as rate1n＝cnt1nand/T, calculating the average rate of other ports by adopting the same method, and storing the average rate as the value of the sampling sample in a memory.
And judging whether N is smaller than N, if so, waiting for the next monitoring period to arrive, jumping to the previous step to continue execution, and otherwise, executing the next step.
According to the least squares mathematical model, in rate1(n-1)，...，rate1(n-N)For the sample, the predicted average rate of the first port in N +1 monitoring periods is predicted, for example, the predicted average rate of the port in the current monitoring period is obtained by using historical N sampling samples and is recorded as rate1(n+1). Predicting the average prediction rate of other ports in n +1 monitoring periods, such as the current monitoring period, by the same method, thus obtaining the average prediction rate set
Figure BDA0002611503870000052
Referring to fig. 3, in some embodiments, after predicting the predicted average rate of the port in the current monitoring period by using a least squares mathematical model based on N sampling samples, the method for allocating traffic provided in an embodiment of the present invention further includes:
step 120: respectively obtaining the predicted average rates of all ports;
as described above, the predicted average rate of all ports in the current monitoring period can be predicted by using the least squares mathematical model based on the acquired historical N sampling samples, as shown in fig. 11.
Step 130: averaging the predicted average rates of all ports to obtain a rate average value;
averaging the obtained predicted average rates of all the ports in the current monitoring period to obtain a rate average value, so as to distinguish the port to be adjusted and the port to be adjusted based on the predicted average rates and the rate average value of all the ports.
Step 140: and determining the port to be adjusted and the adjusted port based on the predicted average rate and the rate average value.
The port to be adjusted is the port with the predicted flow rate larger than the average rate value, and the port to be adjusted is the port with the predicted flow rate smaller than the average rate value. And determining that the ports to be regulated and the regulated ports aim to realize the redistribution of the aggregated link traffic. The predicted average rate of the port to be adjusted in the current monitoring period is greater than the average rate, so that the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted, and the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted from the port to be adjusted, and needs to share traffic with the port to be adjusted.
Referring to fig. 4, in some embodiments, step 20: the method for allocating the traffic provided by the embodiment of the present invention adjusts the port traffic of the port to be adjusted in the current monitoring period to the adjusted port according to the load sharing element, where the load sharing element includes the port traffic before the preset message length intervals with different rates, and further includes:
step 30: sorting all ports from large to small according to the predicted average rate to form a port set;
all ports are sorted according to the predicted average rate from large to small to form a port set, which is recorded as C1.
Step 40: after the ports to be adjusted are sequentially selected from the port set, the rate of the preset message length interval to which the messages of the ports to be adjusted belong in the current monitoring period is calculated based on the length of the messages in the port flow until the rate of the preset message length interval to which the messages of all the ports to be adjusted belong is obtained.
The length of the message in the port traffic is counted in the current monitoring period, and the rate of the preset message length interval to which the message belongs in the current monitoring period is obtained by dividing the traffic of the preset message length interval to which the message belongs by the time of the current monitoring period. Therefore, the flow of each load sharing element of a port in the current monitoring period is obtained, the method is similar to the statistics of the port flow in the monitoring period, then the rate of each load sharing element is calculated in sequence, and all load sub-units in the port flow of each port are sorted from small to large according to the rate.
Assume that it is noted that: rate _ elemp1＝{ratep1,len1,ratep1,len2,ratep1,len3,ratep1,len4}. And calculating the rates of all load sharing elements in the port flow of other ports by adopting the same operation method for other ports, and sequencing the rates from small to large. By adopting the method, the speed of the preset message length interval to which the messages of all the ports to be adjusted belong can be obtained.
Referring to fig. 5, in some embodiments, the flow distribution method provided by the embodiments of the present invention includes: adjusting the port flow of the port to be adjusted in the current monitoring period to the adjusted port according to a load sharing element, wherein the load sharing element comprises preset message length intervals with different rates in the port flow, the port to be adjusted is a port with a predicted flow rate larger than an average rate value in the port, and the adjusted port is a port with a predicted flow rate smaller than the average rate value in the port, and the method specifically comprises the following steps:
step 200: adjusting the port flow from the port to be adjusted to the adjusted port from the preset message length interval as granularity in sequence from small to large according to the rate of the preset message length interval;
if the message length is single, only one preset message length interval exists, and only one speed exists in the preset message length interval, so that the port flow of the port to be adjusted can be distributed only according to the single preset message length interval of the single speed as the adjustment granularity.
Taking out one port from all ports, for example, the first port with port number p can be taken out from port set C1balance_1Since the port set C1 is formed by sorting all ports according to the predicted average rate from large to small, the first port is in the current monitoring periodThe predicted average rate of (c) is the largest, so the load of the first port in the current monitoring period is the largest and needs to be shared first. From the first port pbalance_1All load units of (a) rate _ elempbalance_1Selecting load sharing element to distribute flow and recording the ID of load sharing element and the port number p of port to be regulatedbalance_1And the port number of the corresponding adjusted port until the predicted average rate of the first port is assigned to be close to the average rate. Referring to fig. 12, port traffic of the first port is adjusted from the port to be adjusted to the adjusted port in order from the preset message length interval as granularity according to the rate of the preset message length interval from small to large, bar blocks of different colors are used for representing the preset message length intervals of different rates in the leftmost direction column in fig. 12, wherein the bar block with the smaller area represents that the rate is smaller, the port traffic of the first port is adjusted from the first port to the adjusted port in order from the rate of the preset message length interval from small to large, and the adjusted port preferentially selects the port with the largest difference between the predicted average rate and the average rate value in the current monitoring period. This is repeated until the predicted average rate for the first port is assigned around the average rate. The operation is repeated until the predicted average rates of all the adjusted ports are all allocated around the rate average.
Step 210: and forming a corresponding relation among the port to be adjusted, the adjusted port and the serial number ID of the preset message length interval.
The correspondence between the serial numbers ID of the port to be adjusted, the adjusted port, and the preset packet length interval can be used as a uniform load distribution table of the aggregation link as shown in table 2.
TABLE 2
Port to be adjusted Interval ID with preset message length Regulated port
SRC_PORT1
1 ID_N
... ... ...
PORT_N 4 DEST_PORT_N
After user data messages are obtained in the current monitoring period, the uniform load distribution table can be inquired after the preset message length intervals to which messages with different rates belong in the port flow of each port to be adjusted are counted to obtain the adjusted port, and therefore flow distribution can be carried out on all physical ports on the aggregation link.
Referring to fig. 6, in some embodiments, the flow distribution method provided by the embodiments of the present invention includes: according to the speed of the preset message length interval, adjusting the port flow from the port to be adjusted to the adjusted port by taking the preset message length interval as the granularity in sequence from small to large, specifically comprising:
step 201: and adjusting the port flow from the port to be adjusted to the port to be adjusted by using a greedy algorithm with a preset message length interval as granularity until the predicted average rate of the port to be adjusted approaches the average rate.
Referring to fig. 12, port traffic of the port to be adjusted is adjusted to the adjusted port by using a preset message length interval as a granularity according to a greedy algorithm, and the number ID of the load sharing element, the port to be adjusted, and the corresponding adjusted port number are recorded. The greedy algorithm can ensure that the predicted average rate of the port to be adjusted is as close to the average rate as possible.
Referring to FIG. 7, in some embodiments, step 220: after forming the corresponding relationship among the port of the port to be adjusted, the port of the adjusted port, and the number ID of the preset message length interval, the traffic allocation method provided in the embodiment of the present invention further includes:
step 230: determining a source port of a message, a preset message length interval to which the message belongs and a serial number ID of the preset message length interval based on parameters carried by the message in the port flow;
parameters carried by a message in port flow, such as len fields of a message header, are extracted to obtain the number of physical ports of an aggregation link, the source port of the message, and a preset message length interval to which the message belongs is judged based on the len fields. The preset message length interval may be set to six intervals, namely (0, 64], (64, 128], (128, 256], (256, 512], (512, 1024], (1024, 1518), to obtain the number ID of the preset message length interval to which the message belongs, for example, the ID of the interval (0, 64) is 1, and the ID of the interval (64, 128) is 2, as shown in table 1.
Step 240: judging whether the corresponding relation has a serial number ID of a source port and a preset message length interval to which the message belongs;
and using the serial number ID of the source port and the preset message length interval to which the message belongs, which are obtained by the parameters of the message, as an index to inquire whether the same serial number ID between the port to be adjusted and the preset message length interval exists in the corresponding relation (see table 2).
Step 250: if the port exists, replacing the preset target forwarding port of the message in the port flow with the port of the adjusted port corresponding to the serial number ID of the port to be adjusted and the preset message length interval in the corresponding relationship.
If the adjusted port exists, the adjusted port is taken out from the corresponding relation and is used as a preset target forwarding port, otherwise, the original preset target forwarding port dest is kept unchanged, and the forwarding of the message is completed.
Referring to FIG. 8, in some embodiments, step 240: before determining whether there is a serial number ID of a source port and a preset packet length interval to which a packet belongs in a corresponding relationship, the traffic distribution method provided in the embodiment of the present invention further includes:
step 260: performing CRC operation based on a load sharing mode of the aggregation link;
the original destination forwarding port dest may be obtained based on the load sharing mode of the aggregated link. If the load sharing mode is based on the mac address of the source port, the mac address of the source port is taken for CRC32 operation, the obtained result is recorded as mac _ CRC, and then the modulo of the number of all ports of the aggregation link is taken as the preset destination forwarding port dest, that is: dest is mac _ crc% port _ num.
Step 270: and obtaining a preset target forwarding port of the port flow according to the operation result.
The preset destination forwarding port dest is obtained according to a load sharing mode of the aggregation link, the preset destination forwarding ports obtained in different load sharing modes are different, but as long as the corresponding relationship has the port to be adjusted and the serial number ID of the preset message length interval, which are the same as the serial number IDs of the source port of the message and the preset message length interval to which the message belongs, the corresponding adjusted port in the corresponding relationship is used as the preset destination forwarding port.
It can be seen from the above analysis that, in the traffic allocation method for the aggregation link provided in the embodiment of the present invention, the port traffic in at least the previous monitoring period of the port is used to predict the predicted average rate of the port in the current monitoring period and the average rate of all the ports, the port whose predicted average rate is greater than the average rate is used as the port to be adjusted, and the port whose predicted average rate is less than the average rate is used as the port to be adjusted, so as to adjust the port traffic of the port to be adjusted to the adjusted port according to the adjustment granularity of the load partition unit, where the load partition unit may include preset packet length intervals at different rates in the port traffic, and may adjust according to the preset packet length intervals at different rates in the port traffic, and may dynamically allocate the traffic of each physical port of the aggregation link, and reduce the load difference of each physical port, and resource waste is reduced.
Example two
Referring to fig. 8, a traffic distribution apparatus 10 for aggregated links according to an embodiment of the present invention is provided, and the apparatus includes: rate prediction module 100 and adjustment module 120. Wherein:
a rate prediction module 100, configured to predict, based on at least port traffic in a previous monitoring period of a port, a predicted average rate of the port in a current monitoring period and a rate average value of all ports, where the rate average value is an average value of the predicted average rates;
the method and the device have the advantages that the predicted average speed of the port in the current monitoring period can be predicted according to the historical port flow, and the flow demand of a complex flow field is met. The port flow of each port can be directly obtained through the current network monitoring module, extra calculation cost is not required to be introduced, and time is saved for rapid distribution of the port flow. Secondly, load sharing elements are divided according to the message length, the load sharing elements are used as the adjustment granularity to distribute the port flow of each port, the current network monitoring module can directly obtain the statistics of the message length, and time is saved for the rapid distribution of the port flow.
The current network monitoring module may periodically obtain traffic statistics information of each port in the aggregation link and statistics information of message length in traffic of each port. The predicted average rate of the port in the current monitoring period is the throughput rate of the port traffic in the current monitoring period.
After the traffic statistical information of each port is read from the current network monitoring module, the average rate of the port traffic of each port in the last monitoring period is calculated, the average rate of the port traffic of one port in one monitoring period is taken as a sampling sample, the predicted average rate of the port in the current monitoring period can be predicted at least based on the historical average rate of the port traffic of the last monitoring period, and the average rate of all the ports can be obtained based on the predicted average rate of each port, so that preparation is made for distinguishing the next port to be adjusted from the adjusted port.
The adjusting module 120 is configured to adjust the port traffic of the port to be adjusted in the current monitoring period to the adjusted port according to a load sharing element, where the load sharing element includes preset message length intervals with different rates in the port traffic, the port to be adjusted is a port with a predicted traffic rate greater than an average rate value, and the adjusted port is a port with a predicted traffic rate less than the average rate value.
The current network monitoring module periodically acquires the traffic statistical information of each port and the statistical information of the message length in the traffic of each port. The rate of each preset message length interval in the current monitoring period can be calculated based on the statistical information of the message length in each port flow, the preset message length interval can be set according to the flow distribution requirement, for example, the granularity of the load sharing element which needs to be adjusted each time is larger, and the message length range set by the preset message length interval can be larger, and vice versa. The rate of the preset message length interval is the passing rate of different message lengths in the preset message length interval in the current monitoring period.
The predicted average rate of the port to be adjusted in the current monitoring period is greater than the average rate, so that the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted, and the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted from the port to be adjusted, and needs to share the traffic with the port to be adjusted.
The definition of the preset message length interval can be referred to table 1, the coding ID is made for different preset message length intervals in table 1 to facilitate subsequent calls, and the preset message length intervals with different rates in table 1 become the minimum granularity at which the flow distribution can be adjusted.
TABLE 3
Interval with preset message length Interval ID with preset message length Rate of speed
(0,64] 1 rate_1
(64,128] 2 rate_2
(128,256] 3 rate_3
(256,512] 4 rate_4
(512,1024] 5 rate_5
(1024,1500] 6 rate_6
It can be seen from the above analysis that, in the traffic allocation method for the aggregation link provided in the embodiment of the present invention, the port traffic in at least the previous monitoring period of the port is used to predict the predicted average rate of the port in the current monitoring period and the average rate of all the ports, the port whose predicted average rate is greater than the average rate is used as the port to be adjusted, and the port whose predicted average rate is less than the average rate is used as the port to be adjusted, so as to adjust the port traffic of the port to be adjusted to the adjusted port according to the adjustment granularity of the load partition unit, where the load partition unit may include preset packet length intervals at different rates in the port traffic, and may adjust according to the preset packet length intervals at different rates in the port traffic, and may dynamically allocate the traffic of each physical port of the aggregation link, and reduce the load difference of each physical port, and resource waste is reduced.
EXAMPLE III
Referring to fig. 10, an optical line terminal 1 provided in an embodiment of the present invention includes a traffic distribution apparatus 10 for aggregated links as described above. The traffic distribution device 10 for aggregated links includes: rate prediction module 100 and adjustment module 120. Wherein:
a rate prediction module 100, configured to predict, based on at least port traffic in a previous monitoring period of a port, a predicted average rate of the port in a current monitoring period and a rate average value of all ports, where the rate average value is an average value of the predicted average rates;
the method and the device have the advantages that the predicted average speed of the port in the current monitoring period can be predicted according to the historical port flow, and the flow demand of a complex flow field is met. The port flow of each port can be directly obtained through the current network monitoring module, extra calculation cost is not required to be introduced, and time is saved for rapid distribution of the port flow. Secondly, load sharing elements are divided according to the message length, the load sharing elements are used as the adjustment granularity to distribute the port flow of each port, the current network monitoring module can directly obtain the statistics of the message length, and time is saved for the rapid distribution of the port flow.
The current network monitoring module may periodically obtain traffic statistics information of each port in the aggregation link and statistics information of message length in traffic of each port. The predicted average rate of the port in the current monitoring period is the throughput rate of the port traffic in the current monitoring period.
After the traffic statistical information of each port is read from the current network monitoring module, the average rate of the port traffic of each port in the last monitoring period is calculated, the average rate of the port traffic of one port in one monitoring period is taken as a sampling sample, the predicted average rate of the port in the current monitoring period can be predicted at least based on the historical average rate of the port traffic of the last monitoring period, and the average rate of all the ports can be obtained based on the predicted average rate of each port, so that preparation is made for distinguishing the next port to be adjusted from the adjusted port.
The adjusting module 120 is configured to adjust the port traffic of the port to be adjusted in the current monitoring period to the adjusted port according to a load sharing element, where the load sharing element includes preset message length intervals with different rates in the port traffic, the port to be adjusted is a port with a predicted traffic rate greater than an average rate value, and the adjusted port is a port with a predicted traffic rate less than the average rate value.
The current network monitoring module periodically acquires the traffic statistical information of each port and the statistical information of the message length in the traffic of each port. The rate of each preset message length interval in the current monitoring period can be calculated based on the statistical information of the message length in each port flow, the preset message length interval can be set according to the flow distribution requirement, for example, the granularity of the load sharing element which needs to be adjusted each time is larger, and the message length range set by the preset message length interval can be larger, and vice versa. The rate of the preset message length interval is the passing rate of different message lengths in the preset message length interval in the current monitoring period.
The predicted average rate of the port to be adjusted in the current monitoring period is greater than the average rate, so that the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted, and the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted from the port to be adjusted, and needs to share the traffic with the port to be adjusted.
The definition of the preset message length interval can be referred to table 1, the coding ID is made for different preset message length intervals in table 1 to facilitate subsequent calls, and the preset message length intervals with different rates in table 1 become the minimum granularity at which the flow distribution can be adjusted.
TABLE 4
Interval with preset message length Interval ID with preset message length Rate of speed
(0,64] 1 rate_1
(64,128] 2 rate_2
(128,256] 3 rate_3
(256,512] 4 rate_4
(512,1024] 5 rate_5
(1024,1500] 6 rate_6
It can be seen from the above analysis that, in the traffic allocation method for the aggregation link provided in the embodiment of the present invention, the port traffic in at least the previous monitoring period of the port is used to predict the predicted average rate of the port in the current monitoring period and the average rate of all the ports, the port whose predicted average rate is greater than the average rate is used as the port to be adjusted, and the port whose predicted average rate is less than the average rate is used as the port to be adjusted, so as to adjust the port traffic of the port to be adjusted to the adjusted port according to the adjustment granularity of the load partition unit, where the load partition unit may include preset packet length intervals at different rates in the port traffic, and may adjust according to the preset packet length intervals at different rates in the port traffic, and may dynamically allocate the traffic of each physical port of the aggregation link, and reduce the load difference of each physical port, and resource waste is reduced.
Example four
A storage medium used in a computer-readable storage according to an embodiment of the present invention stores one or more programs, where the one or more programs are executable by one or more processors to implement the steps of the traffic allocation method for aggregation links shown in fig. 1 to 8, and specifically may perform the following steps:
step 10: predicting the predicted average rate of the ports in the current monitoring period and the average rate of all the ports at least based on the port flow in the last monitoring period of the ports, wherein the average rate is the average value of the predicted average rate;
the method and the device have the advantages that the predicted average speed of the port in the current monitoring period can be predicted according to the historical port flow, and the flow demand of a complex flow field is met. The port flow of each port can be directly obtained through the current network monitoring module, extra calculation cost is not required to be introduced, and time is saved for rapid distribution of the port flow. Secondly, load sharing elements are divided according to the message length, the load sharing elements are used as the adjustment granularity to distribute the port flow of each port, the current network monitoring module can directly obtain the statistics of the message length, and time is saved for the rapid distribution of the port flow.
The current network monitoring module may periodically obtain traffic statistics information of each port in the aggregation link and statistics information of message length in traffic of each port. The predicted average rate of the port in the current monitoring period is the throughput rate of the port traffic in the current monitoring period, that is, the sum of the port traffic in the current monitoring period is divided by the current monitoring period.
After the traffic statistical information of each port is read from the current network monitoring module, the average rate of the port traffic of each port in the last monitoring period is calculated, the average rate of the port traffic of one port in one monitoring period is taken as a sampling sample, the predicted average rate of the port in the current monitoring period can be predicted at least based on the historical average rate of the port traffic of the last monitoring period, and the average rate of all the ports can be obtained based on the predicted average rate of each port, so that preparation is made for distinguishing the next port to be adjusted from the adjusted port.
Step 20: and adjusting the port flow of the port to be adjusted in the current monitoring period to the adjusted port according to load sharing elements, wherein the load sharing elements comprise preset message length intervals with different rates in the port flow, the port to be adjusted is a port of which the predicted flow rate is greater than the average rate value, and the adjusted port is a port of which the predicted flow rate is less than the average rate value.
The current network monitoring module periodically acquires the traffic statistical information of each port and the statistical information of the message length in the traffic of each port. The rate of each preset message length interval in the current monitoring period can be calculated based on the statistical information of the message length in each port flow, the preset message length interval can be set according to the flow distribution requirement, for example, the granularity of the load sharing element which needs to be adjusted each time is larger, and the message length range set by the preset message length interval can be larger, and vice versa. The rate of the preset message length interval is the passing rate of different message lengths in the preset message length interval in the current monitoring period, that is, the sum of the flow rates of different message lengths in the current monitoring period is divided by the current monitoring period.
The predicted average rate of the port to be adjusted in the current monitoring period is greater than the average rate, so that the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted, and the port traffic of the port to be adjusted in the current monitoring period needs to be adjusted from the port to be adjusted, and needs to share the traffic with the port to be adjusted.
The definition of the preset message length interval can be referred to table 1, the coding ID is made for different preset message length intervals in table 1 to facilitate subsequent calls, and the preset message length intervals with different rates in table 1 become the minimum granularity at which the flow distribution can be adjusted.
TABLE 5
Interval with preset message length Interval ID with preset message length Rate of speed
(0,64] 1 rate_1
(64,128] 2 rate_2
(128,256] 3 rate_3
(256,512] 4 rate_4
(512,1024] 5 rate_5
(1024,1500] 6 rate_6
It can be seen from the above analysis that, in the traffic allocation method for the aggregation link provided in the embodiment of the present invention, the port traffic in at least the previous monitoring period of the port is used to predict the predicted average rate of the port in the current monitoring period and the average rate of all the ports, the port whose predicted average rate is greater than the average rate is used as the port to be adjusted, and the port whose predicted average rate is less than the average rate is used as the port to be adjusted, so as to adjust the port traffic of the port to be adjusted to the adjusted port according to the adjustment granularity of the load partition unit, where the load partition unit may include preset packet length intervals at different rates in the port traffic, and may adjust according to the preset packet length intervals at different rates in the port traffic, and may dynamically allocate the traffic of each physical port of the aggregation link, and reduce the load difference of each physical port, and resource waste is reduced.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.
The system, apparatus, module or unit illustrated in one or more of the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with a certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Claims (10)

1. A method of traffic allocation for an aggregated link, the method comprising:
predicting the predicted average speed of the port in the current monitoring period and the average speed of all the ports at least based on the port flow in the last monitoring period of the port, wherein the average speed is the average value of the predicted average speed;
adjusting the port flow of the port to be adjusted in the current monitoring period to the adjusted port according to a load sharing element, wherein the load sharing element comprises preset message length intervals with different rates in the port flow, the port to be adjusted is a port of which the predicted flow rate is greater than the average rate value, and the adjusted port is a port of which the predicted flow rate is less than the average rate value.
2. The traffic distribution method according to claim 1, wherein predicting the predicted average rate of the port in the current monitoring period based on at least the port traffic in the previous monitoring period of the port specifically comprises:
obtaining N sampling samples of the port based on the port traffic, wherein the N sampling samples comprise an average rate of the port traffic in N monitoring periods including a last monitoring period;
predicting a predicted average rate of the port in the current monitoring period based on the N sampled samples.
3. The traffic distribution method according to claim 1 or 2, adjusting the port traffic in the current monitoring period of the port to be adjusted to the adjusted port according to a load sharing element, where the load sharing element includes a length interval of a preset packet at different rates in the port traffic, and the method further includes:
sorting all the ports from large to small according to the predicted average rate to form a port set;
and after the port to be adjusted is selected from the port set, calculating the speed of a preset message length interval to which the message of the port to be adjusted belongs in the current monitoring period based on the length of the message in the port flow until the speed of the preset message length interval to which the message of all the ports to be adjusted belongs is obtained.
4. The traffic distribution method according to claim 3, adjusting port traffic in a current monitoring period of a port to be adjusted to an adjusted port according to a load sharing element, where the load sharing element includes preset packet length intervals of different rates in the port traffic, the port to be adjusted is a port in the port where the predicted traffic rate is greater than the average rate value, and the adjusted port is a port in the port where the predicted traffic rate is less than the average rate value, specifically including:
adjusting the port flow from the port to be adjusted to the adjusted port by taking the preset message length interval as granularity in sequence from small to large according to the rate of the preset message length interval;
and forming a corresponding relation among the port to be adjusted, the adjusted port and the serial number ID of the preset message length interval.
5. The traffic distribution method according to claim 4, wherein the adjusting the port traffic from the port to be adjusted to the adjusted port with the preset packet length interval as a granularity sequentially from small to large according to the rate of the preset packet length interval specifically comprises:
and adjusting the port flow from the port to be adjusted to the adjusted port by using the preset message length interval as granularity by adopting a greedy algorithm until the predicted average rate of the port to be adjusted is close to the rate average value.
6. The traffic distribution method according to claim 4, after forming the correspondence between the port of the port to be adjusted, the port of the adjusted port, and the ID of the number of the preset packet length interval, the method further comprising:
determining a source port of the message, a preset message length interval to which the message belongs and a serial number ID of the preset message length interval based on parameters carried by the message in the port flow; judging whether the corresponding relation has the serial number ID of the source port and a preset message length interval to which the message belongs;
if the port flow exists, replacing the preset target forwarding port of the message in the port flow with the port of the port to be adjusted corresponding to the serial number ID of the preset message length interval in the corresponding relationship.
7. The traffic distribution method according to claim 6, wherein before determining whether the correspondence relationship has a number ID of the source port and a preset packet length interval to which the packet belongs, the method further comprises:
performing CRC operation based on the load sharing mode of the aggregation link;
and obtaining a preset target forwarding port of the port flow according to the operation result.
8. A traffic distribution apparatus for an aggregated link, the apparatus comprising:
the rate prediction module is used for predicting the predicted average rate of the ports in the current monitoring period and the average value of the rates of all the ports at least based on the port flow in the last monitoring period of the ports, wherein the average value of the rates is the average value of the predicted average rates;
an adjusting module, configured to adjust a port traffic of a port to be adjusted in a current monitoring period to an adjusted port according to a load sharing element, where the load sharing element includes preset packet length intervals of different rates in the port traffic, the port to be adjusted is a port of which the predicted traffic rate is greater than the average rate value, and the adjusted port is a port of which the predicted traffic rate is less than the average rate value.
9. An optical line terminal comprising the traffic distribution apparatus for aggregated links of claim 8.
10. A storage medium for computer readable storage, the storage medium storing one or more programs which, when executed by one or more processors, perform the steps of the method for traffic allocation for an aggregated link according to any of claims 1 to 7.
CN202010755745.4A 2020-07-31 2020-07-31 Flow distribution method and device for aggregated link, optical line terminal and medium Pending CN114095806A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202010755745.4A CN114095806A (en) 2020-07-31 2020-07-31 Flow distribution method and device for aggregated link, optical line terminal and medium
PCT/CN2021/108872 WO2022022558A1 (en) 2020-07-31 2021-07-28 Traffic allocation method and apparatus for aggregated link, and optical line terminal and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010755745.4A CN114095806A (en) 2020-07-31 2020-07-31 Flow distribution method and device for aggregated link, optical line terminal and medium

Publications (1)

Publication Number Publication Date
CN114095806A true CN114095806A (en) 2022-02-25

Family

ID=80037183

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010755745.4A Pending CN114095806A (en) 2020-07-31 2020-07-31 Flow distribution method and device for aggregated link, optical line terminal and medium

Country Status (2)

Country Link
CN (1) CN114095806A (en)
WO (1) WO2022022558A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114979008A (en) * 2022-05-19 2022-08-30 中国电子科技集团公司第五十八研究所 Link flow control limit adjusting method, device and on-chip processing system
CN116149865A (en) * 2023-04-10 2023-05-23 之江实验室 Method, device and equipment for executing task in variable frequency manner and readable storage medium

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116915517B (en) * 2023-09-14 2023-11-24 厦门快快网络科技有限公司 Cloud service resource risk security management method

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100336363C (en) * 2002-09-18 2007-09-05 中兴通讯股份有限公司 Method for realizing polylink flow equalization
CN103973599B (en) * 2014-04-25 2017-05-24 中国科学院计算技术研究所 Channel allocation method and device based on OpenFlow
US10579955B1 (en) * 2015-06-30 2020-03-03 Auctane, LLC Methods and systems for providing multi-carrier/multi-channel/multi-national shipping
CN106453111B (en) * 2015-08-11 2020-12-22 中兴通讯股份有限公司 Traffic management method and device based on aggregated link
US10652092B2 (en) * 2016-08-28 2020-05-12 Vmware, Inc. Methods and systems that collect and manage latency data in an automated resource-exchange system
KR102567917B1 (en) * 2017-02-06 2023-08-17 알티오스타 네트웍스, 인코포레이티드 A Multi-Technology Integrated Architecture for Long Term Evolution Communication Systems
CN109218216B (en) * 2017-06-29 2023-08-01 中兴通讯股份有限公司 Link aggregation flow distribution method, device, equipment and storage medium
US10715448B2 (en) * 2018-05-25 2020-07-14 Software Ag System and/or method for predictive resource management in file transfer servers

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114979008A (en) * 2022-05-19 2022-08-30 中国电子科技集团公司第五十八研究所 Link flow control limit adjusting method, device and on-chip processing system
CN116149865A (en) * 2023-04-10 2023-05-23 之江实验室 Method, device and equipment for executing task in variable frequency manner and readable storage medium

Also Published As

Publication number Publication date
WO2022022558A1 (en) 2022-02-03

Similar Documents

Publication Publication Date Title
CN114095806A (en) Flow distribution method and device for aggregated link, optical line terminal and medium
US8780711B2 (en) Coordinated back-off mechanism for path selection in hybrid communication networks
US7496367B1 (en) Method of multi-carrier traffic allocation for wireless communication system
CN110248417B (en) Resource allocation method and system for communication service in power Internet of things
CN109218216B (en) Link aggregation flow distribution method, device, equipment and storage medium
JP2013059048A (en) Methods and systems for resizing multimedia content based on quality and rate information
KR20120053049A (en) Method and apparatus for managing allocation of resources in a network
JP2003229896A (en) Device and method for scheduling packet transmission
JP2007013967A (en) Apparatus and method for scheduling transmission of data packets in multichannel wireless communication system
CN108293200B (en) Device throughput determination
US20200403913A1 (en) Network Resource Scheduling Method, Apparatus, Electronic Device and Storage Medium
US9338073B2 (en) Enhanced dynamic multicast optimization
CN107332766B (en) Method for improving network throughput based on software defined network flow scheduling
CN113225253B (en) Message forwarding method and device
US20210218680A1 (en) Methods and systems for multi-level network capacity allocation
Kayali et al. Downlink scheduling in LTE: Challenges, improvement, and analysis
CN111711961A (en) Service end-to-end performance analysis method introducing random probability parameter
CN107204930B (en) Token adding method and device
US8693328B2 (en) Method and apparatus for distributing credits to multiple shapers to enable shaping traffic targets in packet communication networks
Madi et al. Two-level QoS-aware frame-based downlink resources allocation for RT/NRT services fairness in LTE networks
CN112532665A (en) Server load balancing method and device and CDN node
EP4037272A1 (en) Data processing method and device
US20150043464A1 (en) Method, network node, computer program and computer program product for determining resource allocation between downlink and uplink
Schoeffauer et al. Predictive network control and throughput sub-optimality of max weight
JP6204002B2 (en) Method and device for allocating time-frequency resources to a data packet for transmitting the data packet over a communication network, a computer program for performing such a method, and information storage for storing such a computer program Storage medium

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