CN113556372B - Data transmission method, device, equipment and storage medium - Google Patents
Data transmission method, device, equipment and storage medium Download PDFInfo
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- CN113556372B CN113556372B CN202010337798.4A CN202010337798A CN113556372B CN 113556372 B CN113556372 B CN 113556372B CN 202010337798 A CN202010337798 A CN 202010337798A CN 113556372 B CN113556372 B CN 113556372B
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 120
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1023—Server selection for load balancing based on a hash applied to IP addresses or costs
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Abstract
The embodiment of the invention discloses a data transmission method, a device, equipment and a storage medium. The method comprises the following steps: acquiring transmission flow values of each time segment of each image collector in an image collection period, and determining predicted flow values of each time segment of each image collector in a distribution period; determining the total predicted flow value of the image acquisition sub-unit in the same time section in the distribution period; determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster; and in the allocation period, controlling the image acquisition subunit to send the code stream data to the target data access server. The scheme can ensure that the flow is received timely and normally, and the data access system resources can be fully utilized, so that the waste of the data access resources is avoided.
Description
Technical Field
The embodiment of the invention relates to the technical field of security protection, in particular to a data transmission method, a device, equipment and a storage medium.
Background
At present, image acquisition devices such as vehicle bayonet cameras and face bayonet cameras are widely applied to social security, image data acquired by the image acquisition devices are uploaded to a target application system through an image data access system, and therefore intelligent application of the image acquisition devices in traffic, public security, parks and other scenes is achieved.
Because the traffic flow or the people flow in each area is different, and the traffic flow or the people flow in different time periods in the same area is different, the flow of the image data collected and uploaded by each image collecting device is uneven, and the peak period and the valley period exist, the problem that the data access server receives the overflow of the flow in the flow peak period is likely to occur, and the image data is lost.
If a sufficient number of data access servers are provided in order to enable the image data to be normally received, the data access servers are likely to be idle during the traffic trough period, resulting in waste of data access resources.
Disclosure of Invention
The embodiment of the invention provides a data transmission method, a device, equipment and a storage medium, which are used for ensuring that traffic can be received timely and normally, and data access system resources can be fully utilized, so that the waste of the data access system resources is avoided.
In one embodiment, the embodiment of the invention provides a data transmission method, which comprises the following steps:
acquiring transmission flow values of each time segment of each image collector in the image acquisition unit in an image acquisition period, and determining predicted flow values of each time segment of each image collector in a distribution period;
Extracting image collectors from the image collection unit to form an image collection sub-unit, and determining the total predicted flow value of the image collection sub-unit in the same time section in the distribution period according to the predicted flow value of each time section of each image collector in the image collection sub-unit in the distribution period;
determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster;
and in the distribution period, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server.
In another embodiment, the embodiment of the present invention further provides a data transmission device, where the device includes:
the prediction flow value determining module is used for obtaining the transmission flow value of each time segment of each image collector in the image collection unit in the image collection period and determining the prediction flow value of each time segment of each image collector in the distribution period;
the system comprises a total predicted flow value determining module, a total flow value determining module and a control module, wherein the total predicted flow value determining module is used for extracting image collectors from an image collecting unit to form an image collecting sub-unit and determining the total predicted flow value of the image collecting sub-unit in the same time section in the distribution period according to the predicted flow value of each image collector in the image collecting sub-unit in each time section in the distribution period;
The target data access server determining module is used for determining the target data access server of the image acquisition subunit according to the total predicted flow value and the access parameters of each data access server in the data access server cluster;
and the control sending module is used for controlling each image collector in the image acquisition subunit to send code stream data to the target data access server in the distribution period.
In yet another embodiment, an embodiment of the present invention further provides a data transmission apparatus, including: one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the data transmission method according to any one of the embodiments of the present invention.
In an embodiment, the present invention further provides a storage medium having stored thereon a computer program which, when executed by a processor, implements a data transmission method according to any of the embodiments of the present invention.
In the embodiment of the invention, the real-time transmission flow of the image collector is timely obtained and accurately predicted by acquiring the transmission flow value of each time segment of each image collector in the image collection unit in the image collection period and determining the predicted flow value of each time segment of each image collector in the distribution period, so that the distribution of the image collector can be conveniently and subsequently adjusted. The method comprises the steps that an image acquisition sub-unit is formed by extracting image collectors from an image acquisition unit, and the total predicted flow value of each image collector in the image acquisition sub-unit in each time section in the distribution period is determined according to the predicted flow value of each image collector in the image acquisition sub-unit in each time section in the distribution period; determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster; and in the distribution period, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server, so that the target data access server can uniformly and fully receive or forward the code stream data, and the problems of overflow and idle traffic of the data access server are avoided.
Drawings
Fig. 1 is a flowchart of a data transmission method according to an embodiment of the present invention;
FIG. 2 is a schematic flow transmission diagram of an image collector according to an embodiment of the present invention;
fig. 3 is a flowchart of a data transmission method according to another embodiment of the present invention;
FIG. 4 is a schematic illustration of an initial image acquisition sub-assembly and initial target data access in accordance with another embodiment of the present invention
A server docking schematic diagram;
FIG. 5 is a flow engagement schematic provided by another embodiment of the present invention;
fig. 6 is a schematic structural diagram of a data transmission device according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a data transmission device according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Fig. 1 is a flowchart of a data transmission method according to an embodiment of the present invention. The data transmission method provided by the embodiment of the invention can be suitable for the situation of receiving and forwarding the code stream data sent by the image collector, and typically, the embodiment of the invention can be suitable for the situation of determining a predicted flow value according to the transmission flow value sent by the image collector and determining a target data access server in butt joint with the image collector according to the predicted flow value. The method may in particular be performed by a data transmission device, which may be implemented in software and/or hardware, which may be integrated in a data transmission apparatus. Referring to fig. 1, the method in the embodiment of the present invention specifically includes:
S110, acquiring transmission flow values of each time segment of each image collector in the image collection unit in an image collection period, and determining predicted flow values of each time segment of each image collector in a distribution period.
In the embodiment of the application, the system may include a central management server, which is a central management node of the system, and is used for managing front-end devices, such as an image collector, a data access server, and the like. The image collector and the data access server are registered and keep alive with the central management server so that the central management server can manage the image collector and the data access server. The image acquisition unit can be a combination of all image collectors for acquiring and reporting image data, and can be composed of image collectors in different areas. The allocation period may be a period of reallocating a docking relationship between the image collectors and the data access server, and since the transmission flow value of each day is acquired, the predicted flow value of each time segment of each image collector in the image collecting sub-unit in the allocation period and the total predicted flow value of each time segment of the image collecting sub-unit in the allocation period may be updated, so as to redetermine the target data access server of the image collecting sub-unit, the allocation period may be one day, that is, twenty four hours. The time segment may be each unit time in the allocation period, for example, may be one hour, or two hours may be set as one time segment. The image acquisition period may be a period in which sufficient data can be acquired to determine that the target data of the image acquisition subunit is accessed to the server, and the image acquisition period may include at least one allocation period, for example, may be one week.
In the embodiment of the application, the image collector may report the transmission flow value of the image data to the central management server, and the transmission flow value is stored by the central management server. The data access server cluster host acquires transmission flow values of each time segment of each image collector in an image collection period from the central management server.
For example, a specific scheme is provided in the embodiment of the present application, but specific forms of the transmission flow value, the acquisition period, the time segment, and specific values of the allocation period are not limited, and may be determined according to practical situations. Fig. 2 is a schematic flow transmission diagram of an image collector according to an embodiment of the present invention, as shown in fig. 2, the image collector sends code stream data to a data access server with non-uniformity, and at different moments, the flow values may be different, and the image collector may count the flow values transmitted within one hour in units of hours, normalize the flow values, and report the flow values to a central management server. The normalization may be: and setting the maximum transmission flow, wherein if the image collector continuously captures images every 3 seconds, and the size of one image is 300K, the total transmission flow of the image collector is 60 x 60/3 x 300k=360000k= 351.5625M in one hour. The flow actually transmitted by the image collector in one hour is x, normalized to 0-9, and the normalized transmission flow value is a value obtained by rounding x/351.5625 x 9. The database in the central management server may store the image collector's transport stream values forming a twenty-four bit stream number string every twenty-four hours, as shown in table 1. The image collector may be an IPC (IP camera) or a web camera. Monday.1 is the monday of the first week and monday.2 is the monday of the second week. 201003402345642130040000 is a stream number string of 1 to 24 points on monday of the first week, and each bit value is a transmission stream value corresponding to a time segment.
TABLE 1
As shown in table 2, the predicted flow value of each image collector for that time segment in the distribution period is determined based on the transmission flow value of that time segment for that image collector in the image collection period.
TABLE 2
S120, extracting image collectors from the image collection sub-unit to form an image collection sub-unit, and determining the total predicted flow value of the image collection sub-unit in the same time section in the distribution period according to the predicted flow values of the image collectors in the image collection sub-unit in the time sections in the distribution period.
Because a data access server may have the capability of bearing the tasks of receiving and forwarding code stream data of a plurality of image collectors, the image collectors may be extracted from the image collection unit to form an image collection sub-unit, so that the data access server and the image collection sub-unit are in butt joint, and bearing the task of receiving the code stream data.
Because the code stream data sent by the image collector in the image collecting sub-unit cannot exceed the upper limit value of the flow which can be received by the data access server, the sum of the predicted flow values in the same time section of each image collector in the image collecting sub-unit in the distribution period needs to be calculated to obtain the total predicted flow value, and whether the data access server can be docked with the image collecting sub-unit is determined by judging whether the total predicted flow value exceeds the upper limit value of the receiving flow of the data access server. For example, the predicted flow value of each image collector in the image capturing sub-unit at 1 point on monday is a '(1, 1), a' (2, 1), a '(3, 1), a' (4, 1), a '(5, 1) … … a' (p, 1), respectively, and then the total predicted flow value of each image collector in the image capturing sub-unit at 1 point on monday is a '(1, 1) +a' (2, 1) +a '(3, 1) +a' (4, 1) +a '(5, 1) + … … +a' (p, 1). Where a' is a unified representation of predicted flow values, not limiting that all predicted flow values are the same, and specific values may be different.
S130, determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster.
The access parameter of each data access server in the data access server cluster may be a parameter related to an upper limit value of a received traffic of each data access server, for example, may be a maximum value of a traffic that the data access server can receive in one hour.
In the embodiment of the present application, it may be: if the total predicted flow value is smaller than the upper limit value of the receiving flow of the data access server, or the total predicted flow value is close to the upper limit value of the receiving flow of the data access server, and the fluctuation of each total predicted flow value in the allocation period is smaller, the data access server is used as a target data access server to be in butt joint with the image acquisition unit, so that the target data access server has enough capacity to receive and forward the code stream data sent by the image acquisition unit, and no overflow of the flow is caused, and the transmitted flow value tends to be stable and no idle of the target data access server is caused because the fluctuation of each total predicted flow value in the allocation period is smaller.
In the embodiment of the application, if the fluctuation of the total predicted flow value is smaller, it is indicated that the trend of the total predicted flow value of each image collector in the image acquisition sub-unit in the distribution period is stable, larger fluctuation cannot occur, the flow value is very large at a certain moment, and the probability of the condition that the flow value is very small at the next moment is very small.
And S140, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server in the distribution period.
In S130, the target data access server that interfaces with the image acquisition sub-unit is determined according to the total predicted flow value of the image acquisition sub-unit and the access parameters of each data access server, so as to ensure that the target data access server can complete the receiving and forwarding of the code stream data of the image acquisition sub-unit, therefore, the data access server cluster host sends a control instruction to each image acquisition device in the image acquisition sub-unit, so as to control each image acquisition device in the image acquisition sub-unit to send the code stream data to the target data access server, and the target data access server receives and forwards the code stream data, thereby ensuring that the target data access server can complete the receiving and forwarding tasks of the code stream data of all the image acquisition devices in the image acquisition sub-unit.
In the embodiment of the invention, the real-time transmission flow of the image collector is timely obtained and accurately predicted by acquiring the transmission flow value of each time segment of each image collector in the image collection unit in the image collection period and determining the predicted flow value of each time segment of each image collector in the distribution period, so that the distribution of the image collector can be conveniently and subsequently adjusted. The method comprises the steps that an image acquisition sub-unit is formed by extracting image collectors from an image acquisition unit, and the total predicted flow value of each image collector in the image acquisition sub-unit in the same time section in the distribution period is determined according to the predicted flow value of each image collector in the image acquisition sub-unit in each time section in the distribution period; determining a target data access server of the image acquisition sub-unit according to the total predicted flow value of the image acquisition sub-unit in the same time section in the allocation period and the access parameters of each data access server in the data access server cluster; and in the distribution period, controlling each image collector in the image acquisition sub-unit to send code stream data to the target data access server, so as to accurately determine the mutually meshed image collectors, enable the target data access server to uniformly and fully receive or forward the code stream data, and avoid the problems of overflow and idle flow of the data access server.
Fig. 3 is a flowchart of a data transmission method according to another embodiment of the present invention. The embodiments of the present invention are further optimized for the above embodiments, and details not described in detail in this embodiment are detailed in the above embodiments. Referring to fig. 3, the data transmission method provided in this embodiment may include:
s201, if the transmission flow values of all the image collectors in the image collection unit in all the time segments in the image collection period are not obtained, determining the initial flow level of each image collector according to the regional characteristic data.
In an exemplary case where the image collector does not transmit the code stream data, for example, the system is started for the first week, the image collector does not transmit the transmission stream value to the central management server, and the data access server cluster host cannot acquire the transmission stream value of the image collector, so that the flow level of the image collector can be determined according to the regional characteristic data of the region where the image collector is located. In this embodiment of the present application, the regional characteristic data may be the traffic flow or the traffic flow data of the current region, and may be obtained according to the existing bayonet image collector, or may also be obtained through other data statistics software, for example, map software. The regional characteristic data threshold, such as a traffic flow threshold or a traffic flow threshold, may be preset, if the regional characteristic data of the region where the acquired image collector is located is greater than the regional characteristic threshold, the image collector is determined to be at a high flow level, and if the regional characteristic data of the region where the acquired image collector is located is less than or equal to the regional characteristic threshold, the image collector is determined to be at a low flow level. Therefore, the initial flow level of the image collector is divided according to the position of the image collector. The high and low packets may be distinguished by "week". In the initial state of the system, all weeks may be the same.
S202, extracting image collectors with different initial flow levels from the image collection unit, and combining to obtain an initial image collection sub-unit.
Combining the image collector with high flow level with the image collector with low flow level to obtain an initial image collecting sub-unit so as to realize flow complementation and keep the total flow value stable and balanced.
S203, determining an initial target data access server of the initial image acquisition sub-unit, and controlling each image acquisition device in the initial image acquisition sub-unit to send code stream data to the initial target data access server.
Fig. 4 is a schematic docking diagram of an initial image acquisition sub-unit and an initial target data access server according to another embodiment of the present invention, where, as shown in fig. 4, the initial image acquisition sub-unit is docked with the initial target data access server, so that the initial target data access server receives and forwards the code stream data sent by each image collector in the initial image acquisition sub-unit. The image collector sends registration keep-alive information to the central management server, and the central management server or the data access server cluster host sends control information to the image collector every 24 hours so as to inform the image collector which data access server should send code stream data to. When the data access server monitors that the flow value at a certain moment reaches the preset instantaneous receiving flow upper limit value, for example, 90% of the receiving flow upper limit value, the image collector of the high flow group is informed to delay sending the flow, and code stream data in the current hour are delayed to be sent in the next hour, so that the situation of flow burst is relieved, and flow overflow is avoided. But the image collector normally sends the transmission flow value to ensure the authenticity of the original flow number string, avoid dislocation and ensure the accuracy of the predicted flow value. .
S204, acquiring transmission flow values of each time segment of each image collector in the image collection unit in the image collection period.
When the system runs to the second week, after the transmission flow value sent by the image collector of the previous week exists in the database of the central management server, the data access server cluster host acquires the transmission flow value of each time segment of each image collector in the image acquisition period from the database.
S205, judging whether a mode exists in the transmission flow values of the same time segments in each image acquisition period, if so, executing S206; if not, S207 is performed.
For an image collector, the transmission flow values reported after N weeks are:
the first Monday flow string is A (1, 1) B (1, 2) C (1, 3) D (1, 4) … … X (1, 24)
The second Monday flow string is A (2, 1) B (2, 2) C (2, 3) D (2, 4) … … X (2, 24)
……
The flow number string of the nth monday is a (N, 1) B (N, 2) C (N, 3) D (N, 4) … … X (N, 24).
Judging whether the mode exists in the transmission flow values A (1, 1), A (2, 1), A (3, 1), A (4, 1), A (5, 1) … … A (N, 1), namely the numerical value with the largest occurrence number.
S206, determining the predicted flow value according to the mode and the transmission flow value larger than the mode.
Because the transmission flow value with the largest occurrence number has more reference property for determining the predicted flow value, the transmission flow value larger than the mode can reflect the flow characteristic of the peak period of the transmission flow, so that the predicted flow value is determined according to the mode and the transmission flow value larger than the mode, and the data characteristics of multiple transmission flow values and burst can be considered, so that the predicted flow value reflects the flow characteristic more accurately.
In an embodiment of the present application, determining the predicted traffic value according to the mode and a transmission traffic value greater than the mode includes: determining a weight value of each transmission flow value greater than the mode according to the number of transmission flow values greater than the mode; determining a difference in the transmission flow value greater than the mode and the mode; and determining a predicted flow value according to the weight value, the difference value and the mode.
For example, the mode in the transmission flow value is 5, the value greater than 5 is 3 times, and the value greater than 5 is 1 time, and then the predicted flow value is 5+ (6-5) ×3/4) + (8-5) ×1/4=6.5. The predicted flow value for each time segment from monday to sunday is calculated as described above, written into the database, and refreshed every 24 hours.
S207, determining an average value of the transmission flow values as a predicted flow value.
If the mode does not exist in the transmission flow values, taking the average value of the transmission flow values as a predicted flow value so as to accurately reflect the numerical characteristics of the transmission flow values.
S208, determining the extraction number of the image collectors, and extracting the image collectors from the image collection unit according to the extraction number to form an image collection sub-unit; the extraction number is normally distributed, and the abscissa value of the symmetry axis of the normal distribution is the ratio of the number of image collectors to the number of data access servers.
In this embodiment of the present application, the number of extracted image collectors is determined, and before the image collectors are extracted from the image collection unit according to the number of extracted image collectors to form the image collection sub-unit, the image collectors may be further grouped according to the predicted flow values of each image collector, for example, the predicted flow values of all the image collectors are averaged, the image collectors with predicted flow values higher than the average value are in a high flow group, and the image collectors with predicted flow values lower than the average value are in a low flow group, as shown in table 3. And respectively determining the extraction number of the image collectors in the high-low groups, and extracting the image collectors from the image collection unit according to the extraction number to form an image collection sub-unit.
TABLE 3 Table 3
| IPC coding | Circumference of circumference | Height group |
| IPC-1-prediction | Monday | High height |
| IPC-1-prediction | Zhoudi (Zhoudi) | High height |
| IPC-1-prediction | …… | |
| IPC-1-prediction | (Sunday) | Low and low |
| IPC-2-prediction | Monday | Low and low |
| IPC-2-prediction | Zhoudi (Zhoudi) | Low and low |
| IPC-2-prediction | …… | |
| IPC-2-prediction | (Sunday) | High height |
| …… | …… | |
| IPC-N-prediction | (Sunday) | Low and low |
In this embodiment of the present application, in order to avoid situations that when a data access server receives and forwards code stream data, traffic burst overflows and the data access server is idle, therefore, convergence and convergence selection are performed on each image collector that the data access server performs docking, and the image collectors that are engaged are selected to form an image collection sub-unit, fig. 5 is a traffic engagement schematic diagram provided by another embodiment of the present invention, as shown in fig. 5, after traffic 1 and traffic 2 are engaged, traffic tends to be stable, and docking is performed by one data access server, so that traffic overflow or idle data access server is avoided.
Specifically, it is assumed that there are n image collectors, i.e., n traffic number strings, and m data access servers. The following operations are carried out for the k rounds: and k is equal to or less than 1 and equal to or less than m, wherein in the kth round, p is a random value.
P flow number strings are taken out, the p values are in normal distribution, and the symmetry axis x=n/m of the normal distribution, namely the average value is close to n/m.
The following p traffic digit strings are taken:
A’(1,1)B’(1,2)C’(1,3)……X’(1,24)
A’(2,1)B’(2,2)C’(2,3)……X’(2,24)
…………
A’(p,1)B’(p,2)C’(p,3)……X’(p,24)
s209, determining the sum of the predicted flow values of all the image collectors in the image acquisition sub-unit in the same time section in the distribution period as a total predicted flow value.
Illustratively, the p traffic digit strings are summed bit by bit: SumA 'sumB' sumC '… … sumX' was obtained.
And S210, if the total predicted flow value is smaller than or equal to the upper limit value of the received flow of the data access server in the time section and the dispersion of each total predicted flow value is smaller than the first preset dispersion in the distribution period, using the data access server as the target data access server of the image acquisition subunit.
The first preset dispersion can be set according to actual conditions. The dispersion in the embodiments of the present application may be a variance. Illustratively, for sumA ', sumB ', …, sumX ' takes the variance and records the values of the p flow number strings and variances taken. Executing the operation t times, wherein t can be determined according to the operation efficiency of the data access server cluster host server, and the stronger the operation capability is, the larger the value of t is. And obtaining a variance value of the flow number string obtained each time through t rounds of operation, and recording each flow number string selected each time. If sumA 'sumB' sumC '… … sumX' are close to the upper limit value of the receiving flow of the data access server and the variance is smaller than the preset variance, the p image collectors taken out are considered to be meshed, so that the code stream data are suitably received and forwarded by the same data access server, the total flow is stable, the condition of flow burst or no flow can not occur, and the data access server can be guaranteed to uniformly and fully receive and forward the code stream data. The preset variance is a first preset dispersion, and may be set to a value that can indicate that the deviation degree between the total predicted flow value of the data and the average value of the total predicted flow value is smaller, and may be adaptively selected according to the actual situation.
After the above steps are completed, the n image collectors have all completed the docking with the k data access servers, k may be smaller than the number m of the data access servers initially set, at this time, the redundant m-k data access servers may be taken out and used for other users after offline, so as to fully utilize the system resources.
S211, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server in the distribution period.
And S212, if the code stream data sent by the image collector is larger than or equal to the preset instantaneous receiving flow upper limit value of the target data access server, sending a delay sending instruction to the image collector with the predicted flow value in the distribution period larger than the second preset dispersion so as to instruct the image collector to delay the code stream data of the current time section to the next time section for sending.
The second preset dispersion may be set according to an actual situation, and the second preset dispersion is not related to the preset first dispersion and may be set separately. The dispersion in the embodiment of the present application may also be a variance value. When the data access server monitors that the flow value at a certain moment reaches the preset instantaneous receiving flow upper limit value, for example, 90% of the receiving flow upper limit value, the partial image collector is informed to delay sending the flow, and code stream data in the current hour is delayed to be sent in the next hour, so that the situation of flow burst is relieved, and flow overflow is avoided. 90% is not a limitation of the value, and other values may be used. The partial image collector may have the features: the transmission flow value per time segment is bursty, i.e. the current hour has a higher flow and the next hour has a lower flow. The current traffic congestion condition is relieved by controlling the traffic delay transmission of the image collector with the characteristics, but the traffic transmission of the next hour is not influenced. The image collector normally sends the transmission flow value to ensure the authenticity of the original flow digital string, avoid dislocation and ensure the accuracy of the predicted flow value.
According to the technical scheme, if a mode exists in the transmission flow values of the same time section in each image acquisition period, the predicted flow value is determined according to the mode and the transmission flow value larger than the mode; if no mode exists in the transmission flow values of the same time section in each image acquisition period, determining an average value of each transmission flow value as a predicted flow value, and accordingly considering data characteristics of multiple transmission flow values and burst so that the predicted flow value reflects flow characteristics more accurately. The method comprises the steps of determining the extraction number of image collectors, extracting the image collectors from an image collecting unit according to the extraction number to form an image collecting sub-unit, determining the sum of predicted flow values of all the image collectors in the image collecting sub-unit in the same time section in an allocation period as a total predicted flow value, and if the total predicted flow value is smaller than or equal to the upper limit value of the received flow of a data access server in the time section and the dispersion of all the total predicted flow values is smaller than a first preset dispersion in the allocation period, taking the data access server as a target data access server of the image collecting sub-unit so as to butt joint the mutually meshed image collectors with the same data access server, wherein the situation of flow burst or no flow is avoided, and the data access server is ensured to be capable of uniformly and fully-loaded for forwarding code stream data.
Fig. 6 is a schematic structural diagram of a data transmission device according to an embodiment of the present invention. The device can be suitable for receiving and forwarding code stream data sent by the image collector, and typically, the embodiment of the invention can be suitable for determining a predicted flow value according to a transmission flow value sent by the image collector and determining a situation that data which is in butt joint with the image collector is accessed to a server according to the predicted flow value. The apparatus may be implemented in software and/or hardware, and the apparatus may be integrated in a data transmission device. Referring to fig. 6, the apparatus specifically includes:
a predicted flow value determining module 310, configured to obtain a transmission flow value of each time segment of each image collector in the image collection unit in an image collection period, and determine a predicted flow value of each time segment of each image collector in an allocation period;
the total predicted flow value determining module 320 is configured to extract image collectors from the image collection unit to form an image collection sub-unit, and determine a total predicted flow value of the image collection sub-unit in a same time section of a distribution period according to the predicted flow values of each image collector in the image collection sub-unit in each time section of the distribution period;
A target data access server determining module 330, configured to determine a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster;
and the control sending module 340 is configured to control each image collector in the image collecting sub-unit to send code stream data to the target data access server in the allocation period.
In this embodiment of the present application, the transmission flow value is a normalized value;
accordingly, the predicted flow value determining module 310 includes:
a first determining unit, configured to determine, if a mode exists in transmission flow values of the same time segment in each image acquisition period, the predicted flow value according to the mode and a transmission flow value greater than the mode;
and the second determining unit is used for determining the average value of the transmission flow values as a predicted flow value if no mode exists in the transmission flow values of the same time segment in each image acquisition period.
In an embodiment of the present application, the first determining unit includes:
a weight value determining subunit, configured to determine weight values of transmission flow values each greater than the mode according to the number of transmission flow values greater than the mode;
A difference determination subunit configured to determine a difference between a transmission flow value greater than the mode and the mode;
and the calculating subunit is used for determining a predicted flow value according to the weight value, the difference value and the mode.
In the embodiment of the present application, the total predicted flow value determining module 320 includes:
the image acquisition sub-unit determining unit is used for determining the extraction number of the image acquisition devices and extracting the image acquisition devices from the image acquisition unit according to the extraction number to form an image acquisition sub-unit; the extraction number is normally distributed, and the abscissa value of the symmetry axis of the normal distribution is the ratio of the number of image collectors to the number of data access servers;
and the summation unit is used for determining the sum of the predicted flow values of each image collector in each time segment in the image collecting sub-unit as a total predicted flow value.
In this embodiment of the present application, the target data access server determining module 330 is specifically configured to:
and if the total predicted flow value is smaller than or equal to the upper limit value of the receiving flow of the data access server in the time section and the dispersion of each total predicted flow value is smaller than the first preset dispersion in the distribution period, the data access server is used as the target data access server of the image acquisition subunit.
In an embodiment of the present application, the apparatus further includes:
and the delay transmission control module is used for transmitting a delay transmission instruction to the image collector with the predicted flow value in the distribution period larger than the second preset dispersion degree if the code stream data transmitted by the image collector is larger than or equal to the preset instantaneous receiving flow upper limit value of the target data access server so as to instruct the image collector to delay the code stream data of the current time section to the next time section for transmission.
In an embodiment of the present application, the apparatus further includes:
the initial predicted flow value determining module is used for determining the initial flow level of each image collector according to the regional characteristic data if the transmission flow value of each time segment of each image collector in the image collecting unit in the image collecting period is not obtained;
the initial image acquisition sub-unit determining module is used for extracting image collectors with different initial flow levels from the image acquisition unit and combining the image collectors to obtain an initial image acquisition sub-unit;
and the code stream sending control module is used for determining an initial target data access server of the initial image acquisition sub-unit and controlling each image acquisition device in the initial image acquisition sub-unit to send code stream data to the initial target data access server.
The data transmission device provided by the embodiment of the application can execute the data transmission method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 7 is a schematic structural diagram of a data transmission device according to an embodiment of the present invention. Fig. 7 illustrates a block diagram of an exemplary data transmission device 412 suitable for use in implementing embodiments of the invention. The data transmission device 412 shown in fig. 7 is only an example and should not be construed as limiting the function and scope of use of the embodiments of the present invention.
As shown in fig. 7, the data transmission device 412 may be a data access server, or may be a cluster host of data access servers, or may be other processing devices, including: one or more processors 416; memory 428 is configured to store one or more programs that, when executed by the one or more processors 416, cause the one or more processors 416 to implement the data transmission method provided by the embodiments of the present invention, includes:
acquiring transmission flow values of each time segment of each image collector in the image acquisition unit in an image acquisition period, and determining predicted flow values of each time segment of each image collector in a distribution period;
Extracting image collectors from the image collection unit to form an image collection sub-unit, and determining the total predicted flow value of the image collection sub-unit in the same time section in the distribution period according to the predicted flow value of each time section of each image collector in the image collection sub-unit in the distribution period;
determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster;
and in the distribution period, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server.
The components of the data transfer device 412 may include, but are not limited to: one or more processors or processors 416, a memory 428, and a bus 418 that connects the different device components (including the memory 428 and the processor 416).
Bus 418 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
The data transmission device 412 typically includes a variety of computer device-readable storage media. Such storage media can be any available storage media that can be accessed by data transmission device 412 and includes both volatile and nonvolatile storage media, removable and non-removable storage media.
The memory 428 may include computer device readable storage media in the form of volatile memory, such as Random Access Memory (RAM) 430 and/or cache memory 432. The data transmission device 412 may further include other removable/non-removable, volatile/nonvolatile computer device storage media. By way of example only, storage system 434 may be used to read from or write to a non-removable, nonvolatile magnetic storage medium (not shown in FIG. 7, commonly referred to as a "hard disk drive"). Although not shown in fig. 7, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical storage medium), may be provided. In such cases, each drive may be coupled to bus 418 via one or more data storage medium interfaces. Memory 428 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 440 having a set (at least one) of program modules 442 may be stored in, for example, the memory 428, such program modules 442 including, but not limited to, an operating device, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 442 generally perform the functions and/or methodologies in the described embodiments of the invention.
The data transfer device 412 may also communicate with one or more external devices 414 (e.g., keyboard, pointing device, display 426, etc.), one or more devices that enable a user to interact with the data transfer device 412, and/or any device (e.g., network card, modem, etc.) that enables the data transfer device 412 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 422. Also, the data transfer device 412 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 420. As shown in fig. 7, network adapter 420 communicates with other modules of data transfer device 412 over bus 418. It should be appreciated that although not shown in fig. 7, other hardware and/or software modules may be used in connection with the data transfer device 412, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID devices, tape drives, data backup storage devices, and the like.
The processor 416 performs various functional applications and data processing by executing at least one of the other programs among the plurality of programs stored in the memory 428, for example, to implement a data transmission method provided by an embodiment of the present invention.
An embodiment of the present invention provides a storage medium containing computer-executable instructions for performing a data transmission method when executed by a computer processor, comprising:
acquiring transmission flow values of each time segment of each image collector in the image acquisition unit in an image acquisition period, and determining predicted flow values of each time segment of each image collector in a distribution period;
extracting image collectors from the image collection unit to form an image collection sub-unit, and determining the total predicted flow value of the image collection sub-unit in the same time section in the distribution period according to the predicted flow value of each time section of each image collector in the image collection sub-unit in the distribution period;
determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster;
And in the distribution period, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server.
The storage media of embodiments of the present invention may take the form of any combination of one or more computer-readable storage media. The computer readable storage medium may be a computer readable signal storage medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor device, apparatus, or means, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In embodiments of the present invention, a computer-readable storage medium may be any tangible storage medium that can contain, or store a program for use by or in connection with an instruction execution apparatus, device, or means.
The computer readable signal storage medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal storage medium may also be any computer readable storage medium that is not a computer readable storage medium and that can transmit, propagate, or transport a program for use by or in connection with an instruction execution apparatus, device, or apparatus.
Program code embodied on a computer readable storage medium may be transmitted using any appropriate storage medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or device. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method of data transmission, the method comprising:
acquiring transmission flow values of each time segment of each image collector in the image acquisition unit in an image acquisition period, and determining predicted flow values of each time segment of each image collector in a distribution period;
extracting image collectors from the image collection unit to form an image collection sub-unit, and determining the total predicted flow value of the image collection sub-unit in the same time section in the distribution period according to the predicted flow value of each image collector in the image collection sub-unit in each time section in the distribution period;
Determining a target data access server of the image acquisition subunit according to the total predicted flow value and access parameters of each data access server in the data access server cluster;
in the distribution period, controlling each image collector in the image collecting sub-unit to send code stream data to the target data access server;
according to the total predicted flow value and the access parameters of each data access server in the data access server cluster, determining the target data access server of the image acquisition subunit comprises the following steps:
and if the total predicted flow value is smaller than or equal to the upper limit value of the time-segmented receiving flow of the data access server in the distribution period and the dispersion of each total predicted flow value is smaller than the first preset dispersion in the distribution period, the data access server is used as the target data access server of the image acquisition subunit.
2. The method of claim 1, wherein the transport stream value is a normalized value;
accordingly, determining a predicted flow value for each time segment of each image collector during the distribution period includes:
if a mode exists in the transmission flow values of the same time section in each image acquisition period, determining the predicted flow value according to the mode and the transmission flow value larger than the mode;
If no mode exists in the transmission flow values of the same time segment in each image acquisition period, determining an average value of each transmission flow value as a predicted flow value.
3. The method of claim 2, wherein determining the predicted traffic value from the mode and a traffic value greater than the mode comprises:
determining a weight value of each transmission flow value greater than the mode according to the number of transmission flow values greater than the mode;
determining a difference in the transmission flow value greater than the mode and the mode;
and determining a predicted flow value according to the weight value, the difference value and the mode.
4. A method according to any one of claims 1-3, wherein extracting image collectors from the image collection assembly to form an image collection sub-assembly, and determining a total predicted flow value for each time segment of the image collection sub-assembly within the distribution period based on predicted flow values for each time segment of each image collector within the image collection sub-assembly, comprises:
determining the extraction number of the image collectors, and extracting the image collectors from the image collection unit according to the extraction number to form an image collection sub-unit; the extraction number is normally distributed, and the abscissa value of the symmetry axis of the normal distribution is the ratio of the number of image collectors to the number of data access servers;
And determining the sum of the predicted flow values of all the image collectors in the image acquisition sub-unit in the same time section in the distribution period as a total predicted flow value.
5. A method according to any one of claims 1-3, wherein the method further comprises:
if the code stream data sent by the image collector is larger than or equal to the preset instantaneous receiving flow upper limit value of the target data access server, sending a delay sending instruction to the image collector with the predicted flow value in the distribution period larger than the second preset dispersion so as to instruct the image collector to delay the code stream data of the current time section to the next time section for sending.
6. A method according to any one of claims 1-3, wherein prior to acquiring the transport stream values for each time segment of each image collector in the image acquisition assembly during an image acquisition cycle, the method further comprises:
if the transmission flow value of each time segment of each image collector in the image collection unit in the image collection period is not obtained, determining the initial flow level of each image collector according to the regional characteristic data;
extracting image collectors with different initial flow levels from the image collection unit, and combining to obtain an initial image collection sub-unit;
Determining an initial target data access server of the initial image acquisition sub-unit, and controlling each image acquisition device in the initial image acquisition sub-unit to send code stream data to the initial target data access server.
7. A data transmission apparatus, the apparatus comprising:
the prediction flow value determining module is used for obtaining the transmission flow value of each time segment of each image collector in the image collection unit in the image collection period and determining the prediction flow value of each time segment of each image collector in the distribution period;
the system comprises a total predicted flow value determining module, a total flow value determining module and a control module, wherein the total predicted flow value determining module is used for extracting image collectors from an image collecting unit to form an image collecting sub-unit and determining the total predicted flow value of the image collecting sub-unit in the same time section in the distribution period according to the predicted flow value of each image collector in the image collecting sub-unit in each time section in the distribution period;
the target data access server determining module is used for determining the target data access server of the image acquisition subunit according to the total predicted flow value and the access parameters of each data access server in the data access server cluster;
The control sending module is used for controlling each image collector in the image acquisition subunit to send code stream data to the target data access server in the distribution period;
the target data access server determining module is specifically configured to:
and if the total predicted flow value is smaller than or equal to the upper limit value of the receiving flow of the data access server in the time section and the dispersion of each total predicted flow value is smaller than the first preset dispersion in the distribution period, the data access server is used as the target data access server of the image acquisition subunit.
8. A data transmission apparatus, the apparatus comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, causes the one or more processors to implement the data transmission method of any of claims 1-6.
9. A storage medium having stored thereon a computer program, which when executed by a processor implements the data transmission method according to any of claims 1-6.
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