CN111371600A

CN111371600A - Method and device for determining expansion rationality

Info

Publication number: CN111371600A
Application number: CN202010120543.2A
Authority: CN
Inventors: 晏家豪; 魏汝翔; 洪伟; 马笑笑; 刘雪峰; 曾雄华; 马季春; 卢红波; 李彤; 屠礼彪
Original assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Current assignee: China United Network Communications Group Co Ltd; China Information Technology Designing and Consulting Institute Co Ltd
Priority date: 2020-02-26
Filing date: 2020-02-26
Publication date: 2020-07-03
Anticipated expiration: 2040-02-26
Also published as: CN111371600B

Abstract

The embodiment of the invention provides a method and a device for determining expansion rationality, relates to the technical field of communication, and can comprehensively determine whether a candidate expansion strategy is rational and improve the accuracy of expansion requirement evaluation. The method comprises the following steps: acquiring state information of a plurality of metropolitan area network devices and expansion information corresponding to a candidate expansion strategy, wherein the expansion information corresponding to the candidate expansion strategy comprises the expansion information of each of the plurality of metropolitan area network devices; and determining that the candidate capacity expansion strategy is reasonable under the condition that the capacity expansion verification condition is satisfied based on the state information of the plurality of metropolitan area network devices and the capacity expansion information corresponding to the candidate capacity expansion strategy.

Description

Method and device for determining expansion rationality

Technical Field

The embodiment of the invention relates to the technical field of communication, in particular to a method and a device for determining expansion rationality.

Background

At present, when judging whether the capacity expansion requirement of the metro network is reasonable, the predicted traffic of the metro network in the next year (for example, 2020) may be calculated according to the traffic development trend of the metro network in recent years (for example, 2017 to 2019), and the predicted bandwidth of the metro network in the next year (for example, 2020) may be determined according to the predicted traffic, and if the existing bandwidth of the metro network (for example, the bandwidth of the metro network in the current year (for example, 2019) is smaller than the predicted bandwidth, the capacity expansion requirement may be determined to be reasonable.

However, the above method of determining the predicted bandwidth only by predicting the traffic and then determining whether the capacity expansion requirement is reasonable may not fully evaluate the rationality of the capacity expansion requirement.

For example, assuming that a metro network device has a platform capability of 400 gigabytes (G), the metro network device has been configured with a board card with 4 100 Gigabit Ethernet (GE) ports (i.e., 4 100GE ports have been configured on the metro network device), wherein 2 100GE ports are occupied in a first direction, 1 100GE port is occupied in a second direction, and 1 100GE port is unoccupied (i.e., unused); in the first direction, the predicted traffic, the predicted bandwidth, and the existing bandwidth in the next year in the first direction are 200G, 300G, and 200G, that is, in the first direction (or the metropolitan area network device), the bandwidth of 100G needs to be expanded (that is, 1 port needs to be expanded by 100 GE), and assuming that the value of the bandwidth that needs to be expanded in the second direction is 0, then a board card that needs to be expanded by the device and includes 4 ports of 100GE is obtained (in general, for a device with a platform capability of 400G, the sum of the number of ports of the expanded board card should be an integral multiple of 400). Obviously, there are 1 unoccupied 100GE ports in the 4 configured 100GE ports, which can meet the capacity expansion requirement of the metro network device, that is, the capacity expansion requirement is unreasonable.

Disclosure of Invention

The embodiment of the invention provides a method and a device for determining the expansion rationality, which can comprehensively determine whether a candidate expansion strategy is reasonable or not and improve the accuracy of the evaluation of the expansion requirement.

In a first aspect, an embodiment of the present invention provides a method for determining expansion rationality, including: acquiring state information of a plurality of metropolitan area network devices and expansion information corresponding to a candidate expansion strategy, wherein the expansion information corresponding to the candidate expansion strategy comprises the expansion information of each of the plurality of metropolitan area network devices; the state information of a metropolitan area network device includes port configuration condition of the metropolitan area network device, port use condition of the metropolitan area network device, existing traffic from the metropolitan area network device to other metropolitan area network devices, the number of offline ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, the number of obsolete ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, platform capability of the metropolitan area network device, slot position number of the metropolitan area network device, and used slot position number of the metropolitan area network device; the port configuration condition of the metropolitan area network device comprises the configuration number of ports with different granularities of the metropolitan area network device, and the port use condition of the metropolitan area network device comprises the use number of the ports with different granularities of a plurality of transmission directions corresponding to the metropolitan area network device; the capacity expansion information of a metropolitan area network device comprises predicted flow of a plurality of transmission directions corresponding to the metropolitan area network device, target bandwidth of the plurality of transmission directions corresponding to the metropolitan area network device, the number of target ports of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, the number of ports to be expanded of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, and board card information to be expanded of the metropolitan area network device; and determining that the candidate capacity expansion strategy is reasonable under the condition that the capacity expansion verification condition is satisfied based on the state information of the plurality of metropolitan area network devices and the capacity expansion information corresponding to the candidate capacity expansion strategy.

In a second aspect, an embodiment of the present invention provides an apparatus for determining expansion rationality, including: the device comprises an acquisition module and a determination module; the acquisition module is used for acquiring state information of a plurality of metropolitan area network devices and capacity expansion information corresponding to a candidate capacity expansion strategy, wherein the capacity expansion information corresponding to the candidate capacity expansion strategy comprises the capacity expansion information of each of the plurality of metropolitan area network devices; the state information of a metropolitan area network device includes port configuration condition of the metropolitan area network device, port use condition of the metropolitan area network device, existing traffic from the metropolitan area network device to other metropolitan area network devices, the number of offline ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, the number of obsolete ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, platform capability of the metropolitan area network device, slot position number of the metropolitan area network device, and used slot position number of the metropolitan area network device; the port configuration condition of the metropolitan area network device comprises the configuration number of ports with different granularities of the metropolitan area network device, and the port use condition of the metropolitan area network device comprises the use number of the ports with different granularities of a plurality of transmission directions corresponding to the metropolitan area network device; the capacity expansion information of a metropolitan area network device comprises predicted flow of a plurality of transmission directions corresponding to the metropolitan area network device, target bandwidth of the plurality of transmission directions corresponding to the metropolitan area network device, the number of target ports of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, the number of ports to be expanded of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, and board card information to be expanded of the metropolitan area network device; the determining module is configured to determine that the candidate expansion policy is reasonable based on the status information of the multiple metro network devices and the expansion information corresponding to the candidate expansion policy under the condition that the expansion checking condition is satisfied.

In a third aspect, an embodiment of the present invention provides another apparatus for determining expansion rationality, where the apparatus includes: a processor, a memory, a bus, and a communication interface; the memory is used for storing computer execution instructions, the processor is connected with the memory through a bus, and when the determination device for the rationality of expansion runs, the processor executes the computer execution instructions stored in the memory, so that the determination device for the rationality of expansion executes the determination method for the rationality of expansion provided by the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, which includes instructions that, when running on a device for determining the reasonableness of capacity expansion, cause the device for determining the reasonableness of capacity expansion to execute a method for determining the reasonableness of capacity expansion provided in the first aspect.

In a fifth aspect, an embodiment of the present invention provides a computer program product including instructions, which, when run on a computer, causes the computer to execute the method for determining the expansion rationality of the first aspect and any one of the implementations of the first aspect.

The method and the device for determining the expansion rationality provided by the embodiment of the invention can acquire the state information of a plurality of metropolitan area network devices and the expansion information corresponding to the candidate expansion strategy, and determine the candidate expansion strategy to be rational under the condition that the expansion check condition is satisfied. In the embodiment of the invention, because the state information of the metropolitan area network equipment comprises information in various aspects such as the port use condition of the metropolitan area network equipment, the existing flow from the metropolitan area network equipment to other metropolitan area network equipment, the platform capability of the metropolitan area network equipment, the slot position number of the metropolitan area network equipment and the like, whether the candidate expansion strategy is reasonable or not can be comprehensively determined according to the state information of the metropolitan area network equipment and the expansion information corresponding to the candidate expansion strategy, and the accuracy of the expansion demand evaluation can be improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.

Fig. 1 is a schematic architecture diagram of a communication system according to an embodiment of the present invention;

fig. 2 is a hardware schematic diagram of a server according to an embodiment of the present invention;

fig. 3 is a schematic diagram of a determination method of capacity expansion rationality according to an embodiment of the present invention;

fig. 4 is a first schematic structural diagram of a device for determining the rationality of capacity expansion according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a second apparatus for determining the rationality of capacity expansion according to an embodiment of the present invention.

Detailed Description

The following describes in detail a method and an apparatus for determining the expansion rationality according to an embodiment of the present invention with reference to the accompanying drawings.

The terms "first" and "second", etc. in the description and drawings of the present application are used to distinguish different objects and not to describe a particular order of the objects, e.g., the first threshold value and the second threshold value, etc. are used to distinguish different threshold values and not to describe a particular order of the threshold values.

Furthermore, the terms "including" and "having," and any variations thereof, as referred to in the description of the present application, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

The term "and/or" as used herein includes the use of either or both of the two methods.

In the description of the present application, the meaning of "a plurality" means two or more unless otherwise specified.

Based on the problems in the background art, embodiments of the present invention provide a method and an apparatus for determining the rationality of capacity expansion, which may obtain status information of multiple metropolitan area network devices and capacity expansion information corresponding to a candidate capacity expansion policy, and determine that the candidate capacity expansion policy is rational under the condition that a capacity expansion check condition is satisfied. In the embodiment of the invention, because the state information of the metropolitan area network equipment comprises information in various aspects such as the port use condition of the metropolitan area network equipment, the existing flow from the metropolitan area network equipment to other metropolitan area network equipment, the platform capability of the metropolitan area network equipment, the slot position number of the metropolitan area network equipment and the like, whether the candidate expansion strategy is reasonable or not can be comprehensively determined according to the state information of the metropolitan area network equipment and the expansion information corresponding to the candidate expansion strategy, and the accuracy of the expansion demand evaluation can be improved.

Fig. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present invention, where the communication system may include a backbone network device 101, a provincial network device 102, a core routing device 103, a broadband remote access service device 104, a full service routing device 105, a switching device 106, an Optical Line Terminal (OLT) device 107, a mobile internet (general packet radio service (GPRS) internet, GI) device 108, an Internet Data Center (IDC) device 109, an independent network address translation (NAT 44) device 110, a service support system device 111, a large client device 112, a Content Delivery Network (CDN) center device 113, and a CDN edge device 114.

The core routing device 103, the bandwidth access remote service device 104, the full-service routing device 105, and the switching device 106 belong to a metropolitan area network device, and other devices (i.e., devices other than the metropolitan area network device in fig. 1) may communicate with a certain metropolitan area network device, for example, the backbone network device 101 may communicate with the core routing device 103.

The core routing device 103 belongs to a core convergence layer in a metropolitan area network, the core routing device 103 may be a Core Router (CR), and the core routing device 103 establishes communication relationships with 10 different types of network devices respectively (i.e., corresponding to 10 transmission directions corresponding to the CR device in the embodiment of the present invention).

The broadband access remote service device 104 belongs to a service control layer in a metropolitan area network, the broadband access remote service device 104 may be a broadband access server (BRAS), and the broadband access remote service device 104 establishes communication relationships with 4 different types of network devices respectively (that is, corresponding to 4 transmission directions corresponding to the BRAS device in the embodiment of the present invention).

The full-service routing device 105 also belongs to a service control layer in a metropolitan area network, the full-service routing device 105 may be a full-Service Router (SR), and the full-service routing device 105 establishes communication relationships with 4 different types of network devices respectively (i.e., corresponding to 4 transmission directions corresponding to the SR device in the embodiment of the present invention).

The switching device 106 belongs to an access convergence layer in a metropolitan area network, the switching device 106 may be a Switch (SW), and the switching device 106 establishes communication relationships with 3 different types of network devices (that is, 3 transmission directions corresponding to the SW devices in the embodiment of the present invention).

The CDN network includes a CDN center node (e.g., CDN center device 113 shown in fig. 1) and a CDN edge node (e.g., CDN edge device 114 shown in fig. 1), where the CDN center node may establish a communication relationship with a core convergence layer device (e.g., a CR device in the embodiment of the present invention) in the metropolitan area network, and the CDN edge node may establish a communication relationship with a service control layer device (e.g., a BRAS device and an SR device in the embodiment of the present invention) in the metropolitan area network.

It is to be understood that, one transmission direction corresponding to the above-mentioned metro network device is used to indicate a communication relationship from the metro network device to a network device (including the metro network device), and exemplarily, 3 transmission directions corresponding to the SW device refer to a transmission direction from the SW device to the BRAS device, a transmission direction from the SW device to the SR device, and a transmission direction from the SW device to the OLT device, respectively.

It should be noted that, for convenience of example, the foregoing communication system architecture only shows 1 of each network device (including a metropolitan area network device) according to the embodiment of the present invention, and the number of the network devices (including the metropolitan area network device) is not specifically limited in the embodiment of the present invention.

The device or apparatus for executing the method for determining the capacity expansion rationality according to the embodiment of the present invention may be a server, and fig. 2 is a hardware schematic diagram of the server according to the embodiment of the present invention, as shown in fig. 2, the server 20 may include a processor 201, a memory 202, a communication interface 203, and the like.

The processor 201: is a core component of the server 20, and is used for running an operating system of the server 20 and application programs (including system application programs and third party application programs) on the server 20.

In this embodiment of the present invention, the processor 201 may specifically be a Central Processing Unit (CPU), a general purpose processor, a Digital Signal Processor (DSP), an application-specific integrated circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof, which may implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosure of the embodiment of the present invention; a processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a DSP and a microprocessor, or the like.

The memory 202: may be used to store software programs and modules that are executed by processor 201 to perform various functional applications and data processing of server 20 by operating on software programs and modules stored in memory 202. Memory 202 may include one or more computer-readable storage media. The memory 202 includes a storage program area that may store an operating system, an application program required for at least one function, and the like, and a storage data area that may store data created by the server 20, and the like.

In this embodiment of the present invention, the memory 202 may specifically include a volatile memory (volatile memory), such as a random-access memory (RAM); the memory may also include a non-volatile memory (non-volatile memory), such as a read-only memory (ROM), a flash memory (flash memory), a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory may also comprise a combination of memories of the kind described above.

The communication interface 203: the interface circuit for the server 20 to communicate with other devices may be a transceiver, a transceiver circuit, or the like having a transceiver function, and the communication interface includes a serial communication interface and a parallel communication interface.

It should be understood that, due to the fact that the prior art is insufficient in current status statistics of the metro network devices, for example, only the current status traffic status of one metro network device is counted, and the current status traffic status of the metro network device in different directions is not considered, a situation that a calculation error occurs in target bandwidths corresponding to different directions may be caused, and judgment of the rationality of capacity expansion requirements may be affected. Therefore, a method for determining the rationality of capacity expansion is urgently needed, and the rationality of the capacity expansion requirement can be comprehensively evaluated. As shown in fig. 3, a method for determining the expansion rationality according to an embodiment of the present invention may include: S101-S102:

s101, obtaining state information of a plurality of metropolitan area network devices and capacity expansion information corresponding to the candidate capacity expansion strategies.

It should be appreciated that the plurality of metropolitan area network devices may include at least two of a core convergence layer device, a traffic control layer device, or an access convergence layer device. The core convergence layer device comprises a core routing device, and the core routing device may be a CR device; the service control layer device comprises a broadband remote access service device and a full service routing device, wherein the broadband remote access service device can be a BRAS device, and the full service routing device can be an SR device; the access convergence layer device includes a switch device, which may be a SW device.

Specifically, the status information of a metropolitan area network device includes a port configuration condition of the metropolitan area network device, a port usage condition of the metropolitan area network device, an existing traffic from the metropolitan area network device to each of the other metropolitan area network devices, the number of offline ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, the number of obsolete ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, a platform capability of the metropolitan area network device, the number of slot positions of the metropolitan area network device, and the number of used slot positions of the metropolitan area network device.

The port configuration condition of the metro network device includes the configuration number of ports of different granularities of the metro network device, and the usage condition of the ports of the metro network device includes the usage number of ports of different granularities of a plurality of transmission directions corresponding to the metro network device, for example, 5 ports of 100GE, 10 ports of 10GE, and 20 ports of 1GE may be configured on one CR device, and 5 ports of 100GE, 10 ports of 10GE, and 20 ports of 1GE may also be used in a plurality of transmission directions corresponding to the CR device; the platform capability of the metro network device is used to indicate a maximum value of a granularity sum of ports that a single board card of the metro network device can configure, for example, assuming that a board card of a certain metro network device can configure 4 ports of 100GE at most (or 40 ports of 10GE, or 400 ports of 1 GE), it may be determined that the platform capability of the metro network device is 400G.

It should be understood that a metro network device may have a platform capability of 20G, 40G, 100G, 400G, 800G, or 1 terabyte (T), and a port may have a granularity of 1GE, 10GE, or 100 GE.

In conjunction with the above description of fig. 1, it should be understood that one metropolitan area network device may correspond to a plurality of transmission directions, and the plurality of transmission directions are used to indicate a communication relationship between the metropolitan area network device and other devices.

With reference to fig. 1, the metropolitan area network may be divided into three layers according to the positioning of the metropolitan area network device in the metropolitan area network, where the CR device belongs to a core convergence layer of the metropolitan area network, the BRAS device and the SR device belong to a service control layer of the metropolitan area network, the SW device belongs to an access convergence layer of the metropolitan area network, the CR device may correspond to 10 transmission directions (including transmission direction numbers 1 to 10), the BRAS device may correspond to 4 transmission directions (including transmission direction numbers 11 to 14), the SR device may correspond to 4 transmission directions (including transmission direction numbers 15 to 18), and the SW device may correspond to 3 transmission directions (including transmission direction numbers 19 to 21). As shown in table 1 below, an example of multiple transmission directions for different metro network devices.

TABLE 1

It should be understood that the capacity expansion information corresponding to the candidate capacity expansion policy includes capacity expansion information of each of the multiple metro network devices, and the capacity expansion information of one metro network device may include predicted traffic in multiple transmission directions corresponding to the metro network device, target bandwidths in multiple transmission directions corresponding to the metro network device, the number of target ports in different granularities in multiple transmission directions corresponding to the metro network device, the number of ports to be expanded in different granularities in multiple transmission directions corresponding to the metro network device, and board card information to be expanded of the metro network device.

For example, the platform capacity of one CR device is 100G, the capacity expansion information of the CR device may include boards whose predicted flow from the CR device to one SR device (that is, the transmission direction number corresponding to the CR device is 4 (hereinafter, referred to as transmission direction 4)) is 100G, the target bandwidth corresponding to the transmission direction 4 of the CR device is 150G, the number of target ports whose port granularity corresponding to the transmission direction 4 of the CR device is 100GE is 1, the number of ports to be expanded whose port granularity corresponding to the transmission direction 4 of the CR device is 10GE is 5, and the port granularity of 1 port to be expanded of the CR device is 10GE (information of the boards to be expanded of the CR device).

It should be noted that the existing traffic from the metro network device to each of the other metro network devices refers to a peak traffic from the metro network device to each of the other metro network devices within a preset historical time (i.e., a period of time before the current time), and the predicted traffic in the multiple transmission directions corresponding to the metro network device refers to a peak traffic in the multiple transmission directions corresponding to the metro network device within a preset future time (i.e., a period of time after the current time).

And S102, determining that the candidate expansion strategy is reasonable under the condition that the expansion checking condition is satisfied based on the state information of the plurality of metropolitan area network devices and the expansion information corresponding to the candidate expansion strategy.

In the embodiment of the present invention, it may be determined that the candidate expansion policy is reasonable when all of the following expansion conditions are satisfied according to the status information of the plurality of metro network devices and the expansion information corresponding to the candidate expansion policy.

The condition 1 is that the configuration number of the ports of the mth granularity of the metropolitan area network device k is greater than or equal to the usage number of the ports of the mth granularity of the metropolitan area network device k.

The number of ports with M-th granularity of the metropolitan area network device K is the sum of the number of ports with M-th granularity of a plurality of transmission directions corresponding to the metropolitan area network device K, K is 1,2, …, K is the total number of the metropolitan area network devices, and M is 1,2, …, M, and M is the number of the port granularities of the metropolitan area network devices.

It should be understood that, for a plurality of metro network devices, the configured number of ports of a certain granularity of a certain metro network device should be greater than or equal to the used number of ports of the certain granularity of the metro network device, and for example, assuming that the configured number of ports of a CR device with the port granularity of 10GE is 10, the maximum used number of ports of the CR device with the port granularity of 10GE is also 10.

In the embodiment of the present invention, with reference to the transmission direction of the metro network devices shown in table 1, condition 1 is described for different types of metro networks:

(1) for each CR device in a metropolitan area network, condition 1 specifically includes,

wherein DP₁Represents the configuration number of ports with the port granularity of 1GE of the CR equipment,

a sum of the used number of ports with a port granularity of 1GE representing a plurality of transmission directions corresponding to the CR device

In (1)

The number of ports with a port granularity of 1GE used for indicating the transmission direction Q corresponding to the CR device, where Q is 1,2, …, Q, and Q are used for indicating the number of transmission directions corresponding to the CR device.

It should be noted that, in the following description,

and

is explained in

Are similar and will not be described in detail here.

In connection with the above description of the embodiments, it should be understood that, for each CR device, Q is 10, that is, each CR device corresponds to 10 transmission directions (i.e., the transmission direction numbers 1 to 10), and the usage number of the ports with the port granularity of 1GE of the CR device is the sum of the usage numbers of the ports with the port granularity of 1GE of the 10 transmission directions corresponding to the CR device, that is, the above description is used for each CR device

Similarly, the number of ports with a port granularity of 10GE of one CR device is the sum of the number of ports with a port granularity of 10GE in the 10 transmission directions corresponding to the CR device, and the number of ports with a port granularity of 100GE of one CR device is the sum of the number of ports with a port granularity of 100GE in the 10 transmission directions corresponding to the CR device, that is, the sum is used

(2) For each BRAS device in the metropolitan area network, condition 1 specifically includes,

and

wherein the content of the first and second substances,

indicating the configured number of the ports with the port granularity of 1GE of the BRAS equipment,

the sum of the used number of the ports with the port granularity of 1G of a plurality of transmission directions corresponding to the BRAS equipment

In (1)

And the number of the ports with the port granularity of 1GE is used for indicating the transmission direction Q corresponding to the BRAS equipment, wherein Q is 1,2, …, Q and Q are used for indicating the number of the transmission directions corresponding to the BRAS equipment.

It should be noted that, in the following description,

and

is explained in

Are similar and will not be described in detail here.

Combined with the above-described embodimentsIt should be understood that, for each BRAS device, Q is 4, that is, each BRAS device corresponds to 4 transmission directions (that is, the transmission direction numbers 11 to 14), and the usage number of the ports with the port granularity of 1GE of the BRAS device is the sum of the usage numbers of the ports with the port granularity of 1GE of the 4 transmission directions corresponding to the BRAS device, that is, the above-mentioned Q is 4

Similarly, the number of the ports with the port granularity of 10GE of one BRAS device is the sum of the number of the ports with the port granularity of 10GE in the 4 transmission directions corresponding to the BRAS device, and the number of the ports with the port granularity of 100GE of one BRAS device is the sum of the number of the ports with the port granularity of 100GE in the 4 transmission directions corresponding to the BRAS device, that is to say

(3) For each SR device in a metropolitan area network, condition 1 specifically includes,

and

in particular, the method comprises the following steps of,

(4) for each SW device in the metro network, condition 1 specifically includes,

and

in particular, the method comprises the following steps of,

it should be understood that the explanation of the formula related to the SR device in the above (3) and the formula related to the SW device in the above (4) is similar to the explanation of the formula related to the CR device in the above (1) and the formula related to the BRAS device in the above (2), and will not be described in detail here.

And 2, the existing flow from the ith class of metropolitan area network equipment to the jth class of metropolitan area network equipment is equal to the existing flow from the jth class of metropolitan area network equipment to the ith class of metropolitan area network equipment.

The existing traffic from the ith class metropolitan area network device to the jth class metropolitan area network device is the sum of the existing traffic from all the ith class metropolitan area network devices to all the jth class metropolitan area network devices, the existing traffic from the jth class metropolitan area network device to the ith class metropolitan area network device is the sum of the existing traffic from all the ith class metropolitan area network devices to the ith class metropolitan area network device, i is 1,2, …, N, j is 1,2, …, N, and i is not equal to j.

In conjunction with the description of the above embodiments, it should be understood that the metro network devices may include at least two of core convergence layer devices, service control layer devices, or access convergence layer devices.

LX can be used for the existing flow from one CR device to one BRAS device³Represents the LX³Where 3 denotes the transmission direction from the CR device to the BRAS device (i.e. the transmission direction number 3 shown in table 1, hereinafter referred to as transmission direction 3), LX can be used for the existing traffic from one BRAS device to one CR device¹¹Represents the LX¹¹11 in (a) indicates a transmission direction from the BRAS device to the CR device (i.e., the transmission direction number 11 shown in table 1 above, hereinafter referred to as the transmission direction 11).

For example, assume a class i metro areaThe network device is CR device, the jth class metropolitan area network device is BRAS device, the sum of the existing flow from all the ith class metropolitan area network device to all the jth class metropolitan area network device can be ∑_{All CR apparatus}LX³It is shown that the sum of the existing traffic from all class j metro network devices to all class i metro network devices can be used ∑_{All BRAS devices}LX¹¹Is shown, namely ∑_{All CR apparatus}LX³＝∑_{All BRAS devices}LX¹¹。

Obtained by the same token, ∑_{All CR apparatus}LX⁴＝∑_{All SR apparatus}LX¹⁵、∑_{All BRAS devices}LX¹³＝∑_{All SW devices}LX¹⁹And ∑_{All SR apparatus}LX¹⁷＝∑_{All SW devices}LX²⁰Wherein, ∑_{All CR apparatus}LX⁴∑ representing the sum of the existing traffic in the transmission direction from all CR devices to all SR devices (i.e. the transmission direction number 4 shown in Table 1, hereinafter referred to as transmission direction 4)_{All SR apparatus}LX¹⁵∑ representing the sum of the existing traffic in the transmission direction from all SR devices to all CR devices (i.e., the transmission direction number 15 shown in Table 1, hereinafter referred to as the transmission direction 15)_{All BRAS devices}LX¹³∑, which represents the sum of the existing traffic in the transmission direction from all BRAS devices to all SW devices (i.e. the transmission direction number 13 shown in table 1, hereinafter referred to as transmission direction 13)_{All SW devices}LX¹⁹∑, which represents the sum of the existing traffic in the transmission direction from all SW devices to all BRAS devices (i.e., the transmission direction number 19 shown in Table 1 above, hereinafter referred to as the transmission direction 19)_{All SR apparatus}LX¹⁷The sum of the existing traffic flows indicating the transmission directions of all SR devices to all SW devices (i.e., the transmission direction number 17 shown in table 1, hereinafter referred to as the transmission direction 17) indicates the sum of the existing traffic flows indicating the transmission directions of all SW devices to all SR devices (i.e., the transmission direction number 20 shown in table 1, hereinafter referred to as the transmission direction 20).

Optionally, an error range may be added to the existing traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device or the existing traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device, that is, when the existing traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device satisfies the error range of the existing traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device (or when the existing traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device satisfies the error range of the existing traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device), it may.

Illustratively, the error range of the existing traffic of the jth class of metropolitan area network devices to the ith class of metropolitan area network devices may be represented by α.

When the i-th class metropolitan area network device is a CR device and the j-th class metropolitan area network device is a BRAS device, ∑ above_{All CR apparatus}LX³＝∑_{All BRAS devices}LX¹¹Can be as follows:

(1-α)×∑_{all BRAS devices}LX¹¹≤∑_{All CR apparatus}LX³≤(1+α)×∑_{All BRAS devices}LX¹¹。

When the i-th class metropolitan area network device is a CR device and the j-th class metropolitan area network device is an SR device, ∑_{All CR apparatus}LX⁴＝∑_{All SR apparatus}LX¹⁵Can be as follows:

(1-α)×∑_{all SR apparatus}LX¹⁵≤∑_{All CR apparatus}LX⁴≤(1+α)×∑_{All SR apparatus}LX¹⁵。

When the i-th class metropolitan area network device is a BRAS device and the j-th class metropolitan area network device is a SW device, ∑_{All BRAS devices}LX¹³＝∑_{All SW devices}LX¹⁹Can be as follows:

(1-α)×∑_{all SW devices}LX¹⁹≤∑_{All BRAS devices}LX¹³≤(1+α)×∑_{All SW devices}LX¹⁹。

When the i-th class metropolitan area network device is an SR device and the j-th class metropolitan area network device is an SW device, ∑_{All SR apparatus}LX¹⁷＝∑_{All SW devices}LX²⁰Can be as follows:

(1-α)×∑_{all SW devices}LX²⁰≤∑_{All SR apparatus}LX¹⁷≤(1+α)×∑_{All SW devices}LX²⁰。

It should be understood that α can be chosen according to actual needs, for example, when α is 0.1, the above error range is 10%.

And 3, the predicted flow from the ith class of metropolitan area network equipment to the jth class of metropolitan area network equipment is equal to the predicted flow from the jth class of metropolitan area network equipment to the ith class of metropolitan area network equipment.

The predicted traffic from the i-th class metropolitan area network device to the j-th class metropolitan area network device is the sum of the predicted traffic from all the i-th class metropolitan area network devices to all the j-th class metropolitan area network devices, the predicted traffic from the j-th class metropolitan area network device to the i-th class metropolitan area network device is the sum of the predicted traffic from all the j-th class metropolitan area network devices to the i-th class metropolitan area network device, i is 1,2, …, N, j is 1,2, …, N, and i is not equal to j.

In conjunction with table 1 above, it should be appreciated that the predicted traffic from a CR device to a BRAS device may be predicted using LM³Is shown by the LM³3 in (1) is used to indicate the transmission direction 3, and the predicted flow from one BRAS device to one CR device can be LM¹¹Is shown by the LM¹¹11 is used to indicate the transmission direction 11.

For example, assuming that the i-th class metropolitan area network device is a CR device, the j-th class metropolitan area network device is a BRAS device, and the sum of the predicted traffic from all i-th class metropolitan area network devices to all j-th class metropolitan area network devices may be ∑_{All CR apparatus}LM³It is shown that the sum of the predicted traffic from all jth class metropolitan area network devices to all ith class metropolitan area network devices may be used ∑_{All BRAS devices}LM¹¹Is shown, namely ∑_{All CR apparatus}LM³＝∑_{All BRAS devices}LM¹¹。

Obtained by the same token, ∑_{All CR apparatus}LM⁴＝∑_{All SR apparatus}LM¹⁵、∑_{All BRAS devices}LM¹³＝∑_{All SW devices}LM¹⁹And ∑_{All SR apparatus}LM¹⁷＝∑_{All SW devices}LM²⁰Wherein, ∑_{All CR apparatus}LM⁴Represents the sum of the predicted flows from all CR devices to all SR devices (i.e., transmission direction 4), ∑_{All SR apparatus}LM¹⁵Represents the sum of the predicted flows from all SR devices to all CR devices (i.e., the transmit direction 15), ∑_{All BRAS devices}LM¹³Represents the sum of the predicted traffic from all BRAS devices to all SW devices (i.e., the direction of transmission 13), ∑_{All SW devices}LM¹⁹Represents the sum of the predicted traffic from all SW devices to all BRAS devices (i.e., the direction of transmission 19), ∑_{All SR apparatus}LM¹⁷Representing the sum of the predicted flows from all SR devices to all SW devices (i.e., the transmit direction 17), ∑_{All SW devices}LM²⁰Representing the sum of the predicted flows of all SW devices to all SR devices (i.e., the transmit direction 20).

Optionally, an error range may be added to the predicted traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device or the predicted traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device, that is, when the predicted traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device satisfies the error range of the predicted traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device (or when the predicted traffic from the j-th class of metropolitan area network device to the i-th class of metropolitan area network device satisfies the error range of the predicted traffic from the i-th class of metropolitan area network device to the j-th class of metropolitan area network device), it may.

For example, the error range of the predicted traffic from the j-th class metropolitan area network device to the i-th class metropolitan area network device may be represented by β.

When the i-th class metropolitan area network device is a CR device and the j-th class metropolitan area network device is a BRAS device, ∑ above_{All CR apparatus}LM³＝∑_{All BRAS devices}LM¹¹Can be as follows:

(1-β)×∑_{all BRAS devices}LM¹¹≤∑_{All CR apparatus}LM³≤(1+β)×∑_{All BRAS devices}LM¹¹。

When the i-th class metropolitan area network device is a CR device and the j-th class metropolitan area network device is an SR device, ∑_{All CR apparatus}LM⁴＝∑_{All SR apparatus}LM¹⁵Can be as follows:

(1-β)×∑_{all SR apparatus}LM¹⁵≤∑_{All CR apparatus}LM⁴≤(1+β)×∑_{All SR apparatus}LM¹⁵。

When the i-th class metropolitan area network device is a BRAS device and the j-th class metropolitan area network device is a SW device, ∑_{All BRAS devices}LM¹³＝∑_{All SW devices}LM¹⁹Can be as follows:

(1-β)×∑_{all SW devices}LM¹⁹≤∑_{All BRAS devices}LM¹³≤(1+β)×∑_{All SW devices}LM¹⁹。

When the i-th class metropolitan area network device is an SR device and the j-th class metropolitan area network device is an SW device, ∑_{All SR apparatus}LM¹⁷＝∑_{All SW devices}LM²⁰Can be as follows:

(1-β)×∑_{all SW devices}LM²⁰≤∑_{All SR apparatus}LM¹⁷≤(1+β)×∑_{All SW devices}LM²⁰。

It should be understood that β can be chosen according to actual needs, for example, when β is 0.1, the above error range is 10%.

And 4, the using number of ports with m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment of the i-th class metropolitan area network equipment is equal to the using number of ports with m-th granularity from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment of the j-th class metropolitan area network equipment.

Wherein, the usage number of the ports with M-th granularity from the i-th class metropolitan area network device to the j-th class metropolitan area network device is the sum of the usage numbers of the ports with M-th granularity from all the i-th class metropolitan area network devices to all the j-th class metropolitan area network devices, the usage number of the ports with M-th granularity from the j-th class metropolitan area network device to the i-th class metropolitan area network device is the sum of the usage numbers of the ports with M-th granularity from all the j-th class metropolitan area network devices to all the i-th class metropolitan area network devices, i is 1,2, …, N, j is 1,2, …, N, and i is not equal to j, M is 1,2, …, M is the number of the port granularity of the metropolitan area network device.

As described in connection with the above embodiments, the granularity of one port may be 1GE, 10GE or 100GE,

the number of ports with port granularity of 1GE in the transmission direction q corresponding to one metro network device may be represented, and the transmission direction of the metro network device shown in table 1 may be adopted

The number of ports with the port granularity of 1GE from the CR equipment to a BRAS equipment (namely, the transmission direction 3) of one CR equipment is adopted

The number of ports with a port granularity of 1GE from the BRAS device representing a BRAS device to a CR device (i.e., the direction of transmission 11) is used.

For example, it is assumed that the i-th class metropolitan area network device is a CR device, the j-th class metropolitan area network device is a BRAS device, and the sum of the usage number of the ports with the port granularity of 1GE from all the i-th class metropolitan area network devices to all the j-th class metropolitan area network devices may be used

Indicating that the sum of the usage number of the ports with the port granularity of 1GE from all the j-type metropolitan area network equipment to all the i-type metropolitan area network equipment can be used

Is shown, i.e.

In the same way, the method can obtain,

and

wherein the content of the first and second substances,

represents the sum of the used number of ports with port granularity of 1GE from all CR devices to all SR devices (i.e. transmission direction 4),

represents the sum of the number of ports with a port granularity of 1GE from all SR devices to all CR devices (i.e. the transmission direction 15),

represents the sum of the number of usage of ports with port granularity of 1GE from all BRAS devices to all SW devices (i.e. the transmission direction 13),

represents the sum of the number of ports used with a port granularity of 1GE from all SW devices to all BRAS devices (i.e. the direction of transmission 19),

represents the sum of the number of ports used with a port granularity of 1GE from all SR devices to all SW devices (i.e. the direction of transmission 17),

represents the sum of the number of ports used with a port granularity of 1GE from all SW devices to all SR devices (i.e., the transmit direction 20).

Similarly, for a port with a port granularity of 10GE of the metro network device, the condition 4 may specifically include:

and

similarly, for a port with a port granularity of 100GE of the metro network device, the condition 4 may specifically include:

and

and 5, the number of the m-th granularity target ports from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment of the i-th class metropolitan area network equipment is equal to the number of the m-th granularity target ports from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment of the j-th class metropolitan area network equipment.

Wherein, the number of target ports of M-th granularity from the i-th class metropolitan area network device to the j-th class metropolitan area network device is the sum of the numbers of target ports of M-th granularity from all the i-th class metropolitan area network devices to all the j-th class metropolitan area network devices, the number of target ports of M-th granularity from the j-th class metropolitan area network device to the i-th class metropolitan area network device is the sum of the numbers of target ports of M-th granularity from all the j-th class metropolitan area network devices to all the i-th class metropolitan area network devices, i is 1,2, …, N, j is 1,2, …, N, and i is not equal to j, M is 1,2, …, M is the number of port granularity of the metropolitan area network device.

In conjunction with the above description of the embodiments, it should be understood that the number of target ports with a port granularity of 1GE from the CR device to the BRAS device (i.e., transmission direction 3) of one CR device may be used

Indicating that the number of target ports with a port granularity of 1GE from the BRAS device of a BRAS device to a CR device (i.e., the transmission direction 11) is available

And (4) showing.

For example, it is assumed that the i-th class metropolitan area network device is a CR device, the j-th class metropolitan area network device is a BRAS device, and the sum of the numbers of target ports with port granularity of 1GE from all the i-th class metropolitan area network devices to all the j-th class metropolitan area network devices may be used

Indicating that the sum of the number of target ports with the port granularity of 1GE from all the j-type metropolitan area network equipment to all the i-type metropolitan area network equipment can be used

Expression, i.e. condition 4, may comprise a formula

In the same way, the method can obtain,

and

wherein the content of the first and second substances,

represents the sum of the number of destination ports with a port granularity of 1GE from all CR devices to all SR devices (i.e. transmission direction 4),

represents the sum of the number of destination ports with a port granularity of 1GE from all SR devices to all CR devices (i.e. the transport direction 15),

represents the sum of the number of target ports with a port granularity of 1GE from all BRAS devices to all SW devices (i.e. the transmission direction 13),

representing all SW devices to all BRAS devices (i.e. direction of transmission 19)Has a port granularity of 1GE and the sum of the number of target ports,

represents the sum of the number of destination ports with a port granularity of 1GE from all SR devices to all SW devices (i.e. the direction of transmission 17),

represents the sum of the number of destination ports with a port granularity of 1GE from all SW devices to all SR devices (i.e., the transmit direction 20).

and

and

the embodiment of the invention can verify whether the status information of a plurality of metropolitan area network devices and the data in the expansion information corresponding to the candidate strategy have errors through the formulas in the 5 conditions, thereby improving the reasonable accuracy of determining the candidate expansion strategy.

The condition 6 is that target bandwidths of the plurality of transmission directions corresponding to the metropolitan area network device k are respectively greater than or equal to a first threshold corresponding to the transmission direction and less than or equal to a second threshold corresponding to the transmission direction.

The first threshold corresponding to the transmission direction and the second threshold corresponding to the transmission direction are determined according to the predicted traffic of the transmission direction, and K is 1,2, …, where K is the total number of the metropolitan area network devices.

Specifically, the reasonable range of the target bandwidth corresponding to one transmission direction may be determined according to the predicted traffic corresponding to the transmission direction. For example, a capacity expansion threshold may be configured for a predicted traffic corresponding to a transmission direction, and a maximum value and a minimum value of the predicted traffic divided by the capacity expansion threshold are a reasonable range of the target bandwidth (i.e., a first threshold and a second threshold corresponding to the transmission direction).

For example, assuming that a predicted traffic (i.e., 100G) corresponding to a transmission direction 3 of one CR device (i.e., one CR device to one BRAS device) is 100G, and the capacity expansion threshold is 50% -70%, a first threshold corresponding to the transmission direction 3 of the CR device is 100G/70% ≈ 143G, and a second threshold corresponding to the transmission direction 3 of the CR device is 100G/50% ≈ 200G (i.e., a reasonable range 143G-200G of the target bandwidth of the transmission direction 3 of the CR device), and assuming that the target bandwidth of the transmission direction 3 of the CR device is 160G, it may be determined that the target bandwidth of the transmission direction 3 of the CR device satisfies a condition 6.

Similarly, the determination methods of the first thresholds corresponding to the transmission directions and the second thresholds corresponding to the transmission directions are the same as or similar to those described in the foregoing embodiments, and are not repeated herein.

And under the condition 7, the number of ports to be expanded with the m-th granularity in the multiple transmission directions corresponding to the metropolitan area network device k of the metropolitan area network device k is equal to the number of ports to be expanded with the m-th granularity in the multiple transmission directions corresponding to the metropolitan area network device k.

The number of ports to be expanded in the expected m-th granularity of multiple transmission directions corresponding to a metropolitan area network device k is determined according to the number of target ports in the m-th granularity of multiple transmission directions corresponding to the metropolitan area network device k, the number of offline ports in the m-th granularity of multiple transmission directions corresponding to the metropolitan area network device k, and the number of obsolete ports in the m-th granularity of multiple transmission directions corresponding to the metropolitan area network device k; where K is 1,2, …, K is the total number of the metro network devices, M is 1, 2.

The number of expected ports to be expanded in the mth granularity of a plurality of transmission directions corresponding to the metropolitan area network device k meets the following requirements:

wherein the content of the first and second substances,

the number of the expected ports to be expanded with the port granularity x in the transmission direction y corresponding to the metropolitan area network device k is represented,

the number of target ports with port granularity x in the transmission direction y corresponding to the metro network device k is represented,

the number of ports with port granularity x corresponding to the metro network device k in the transmission direction y is represented,

the number of offline ports with port granularity x in the transmission direction y corresponding to the metro network device k is represented,

the number of the obsolete ports with the port granularity x in the transmission direction y corresponding to the metropolitan area network device k is represented. Specifically, y represents a transmission direction corresponding to the metro network device, x represents port granularity of the metro network device, y has a value in a range of 1 to 21, for example, y is 1, which represents a transmission direction 1 shown in table 1, and x may have a value of 1, 10, or 100, for example, x is 1, which represents port granularity of the metro network deviceThe degree is 1 GE.

It should be understood that a down port corresponding to a metro network device in one transmission direction is used to indicate that a board where the port is located cannot be repaired due to damage or the metro network device (or the board) stops providing service (EOS), that is, the metro network device or the board is too old and a manufacturer no longer provides service for the metro network device or the board. The obsolete port of a transmission direction corresponding to a metro network device is used to indicate other transmission directions that the port was used for before for the metro network device, and since the other transmission directions do not use the port any more, the port can be applied to a certain transmission direction (i.e. the corresponding transmission direction). For example, the obsolete port of the transmission direction 3 corresponding to one CR device may be previously applied to any one of a plurality of transmission directions (e.g., transmission direction 1, transmission direction 2, and transmission directions 4-10) corresponding to the CR device, and the embodiment of the present invention is not limited in particular.

In the embodiment of the present invention, when determining the number of ports to be expanded expected for the mth granularity in multiple transmission directions corresponding to one metropolitan area network device k, when subtracting the number of ports of the mth granularity in multiple transmission directions corresponding to the metropolitan area network device k from the number of target ports of the mth granularity in multiple transmission directions corresponding to the metropolitan area network device k, the number of offline ports of the mth granularity in multiple transmission directions corresponding to the metropolitan area network device k may be added, and the number of obsolete ports of the mth granularity in multiple transmission directions corresponding to the metropolitan area network device k may be subtracted.

Illustratively, it is assumed that 1 CR device corresponds to a number of target ports with a port granularity of 1GE in the transmission direction 3 of 10, i.e. the number is 1GE

The number of the ports with the port granularity of 1GE corresponding to the CR equipment in the transmission direction 3 is 5, namely

The number of offline ports with the port granularity of 1GE in the transmission direction 3 corresponding to the CR equipmentIs 3, i.e.

The number of the used ports corresponding to the CR equipment and having the port granularity of 1GE in the transmission direction 3 is 4, namely

It may be determined that the number of the ports to be expanded, which have the port granularity of 1GE in the transmission direction 3 corresponding to the CR device, is 4, that is, the number of the ports to be expanded is 4

It should be understood that the capacity expansion information of the metropolitan area network device k includes the number of ports to be expanded with the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k, and when the number of ports to be expanded with the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k is equal to the number of ports to be expanded with the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k, it is determined that the condition 7 is satisfied.

And (8) the information of the board card to be expanded of the metropolitan area network equipment k is consistent with the information of the expected board card to be expanded of the metropolitan area network equipment k.

The expected board card information to be expanded of the metropolitan area network device K is determined according to port information to be expanded of the metropolitan area network device K, platform capability of the metropolitan area network device K, and a remaining slot position of the metropolitan area network device K, where the remaining slot position is a difference between the number of the slot positions of the metropolitan area network device K and the number of the used slot positions of the metropolitan area network device K, the port information to be expanded of the metropolitan area network device K includes the number of ports to be expanded of different granularities in a plurality of transmission directions corresponding to the metropolitan area network device K, and K is 1,2, …, K, and K is the total number of the metropolitan area network device.

In conjunction with the description of the above embodiments, it should be understood that the platform capability of the metro network device is used to indicate the maximum value of the granularity sum of the ports that a single board card of the metro network device can configure, that is, assuming that the platform capability of one metro network device is 400G, a board card in the metro network device can configure 4 ports of 100GE at most (or 40 ports of 10GE, or 400 ports of 1 GE).

For example, assume that table 2 is port information to be expanded of one SR device.

TABLE 2

As can be seen from Table 2, the SR apparatus is to expand 100 ports of 1GE, 20 ports of 10GE and 1 port of 100 GE.

Assuming that the platform capacity of the SR device is 100G, and the number of remaining slots of the SR device is equal to 5, it may be determined that the expected card information to be expanded of the SR device may be expansion 4 cards, including 1 card with a port granularity of 1GE for 100 ports, 2 cards with a port granularity of 10GE for 10 ports, and 1 card with a port granularity of 100GE for 1 port.

If the information of the board card to be expanded of the SR device is not consistent with the information of the expected board card to be expanded of the SR device, it may be determined that the condition 8 is not satisfied. For example, if the information of the board card to be expanded of the SR device is 5 expansion board cards, including 1 board card with a port granularity of 1GE for 100 ports, 3 board cards with a port granularity of 10GE for 10 ports, and 1 board card with a port granularity of 100GE for 1 port, because the expected information of the board card to be expanded of the SR device includes 2 board cards with a port granularity of 100GE for 10 ports, that is, there is no need to expand the board cards with a port granularity of 100GE for 3 ports 10, it may be determined that the information of the board card to be expanded of the SR device is unreasonable, that is, the above condition 8 does not hold. For another example, if the information of the board card to be expanded of the SR device is expansion 3 board cards, including 1 board card with 100 ports and a granularity of 1GE, 1 board card with 20 ports and a granularity of 10GE, and 1 board card with 1 port and a granularity of 100GE, since the 1 board card with 20 ports and a granularity of 10GE is adapted to the metropolitan area network device with a platform capability greater than or equal to 400GE (that is, the sum of the granularities of all the ports of the board card already exceeds the platform capability of the SR device), it may be determined that the information of the board card to be expanded of the SR device is unreasonable. For another example, if the information of the board cards to be expanded of the SR device is expansion 6 board cards, including 3 board cards with port granularity of 1GE of 40 ports, 2 board cards with port granularity of 10GE of 10 ports, and 1 board card with port granularity of 100GE of 1 port, it is obvious that the number of the board cards to be expanded (i.e., 6) in the information of the board cards to be expanded of the SR device exceeds the number of the remaining slots of the SR device, and therefore, it may be determined that the information of the board cards to be expanded of the SR device is unreasonable.

Optionally, when the number of the remaining slots of the SR device in the above example is less than 5, but the SR device at least needs to expand 5 blocks of boards (that is, the number of the remaining slots of the SR device cannot satisfy the number of the boards that the SR device at least needs to expand), an original low-density board (for example, a board with a port granularity of 1GE of 20 ports) may be replaced with a high-density board (for example, a board with a port granularity of 1GE of 40 ports or a board with a port granularity of 1GE of 100 ports), a platform capability of the SR device may also be upgraded (for example, the platform capability of the SR device is upgraded from 100G to 400G), a device replacement mode may also be adopted, for example, the SR device may be replaced with an SR device with a larger number of the remaining slots (that is, the number of the remaining slots is greater than or equal to 5).

It should be noted that, the same board card of the same metro network device may select the port configuration with the same granularity, that is, one board card of one metro network device may select the configuration of 100 ports with a granularity of 1GE, the configuration of 10 ports with a granularity of 10GE, or the configuration of 1 port with a granularity of 100GE (that is, the platform capability of the metro network device is 100G), and the same board card of the same metro network device may also select the port configuration with different granularities, that is, one board card of one metro network device may select the configuration of 50 ports with a granularity of 1GE, 15 ports with a granularity of 10GE, and 2 ports with a granularity of 100GE (that is, the platform capability of the metro network device is 400G), which is not limited in the embodiment of the present invention.

The embodiment of the invention can acquire the state information of a plurality of metropolitan area network devices and the capacity expansion information corresponding to the candidate capacity expansion strategies, and determine that the candidate capacity expansion strategies are reasonable under the condition that the capacity expansion verification condition is satisfied. In the embodiment of the invention, because the state information of the metropolitan area network equipment comprises information in various aspects such as the port use condition of the metropolitan area network equipment, the existing flow from the metropolitan area network equipment to other metropolitan area network equipment, the platform capability of the metropolitan area network equipment, the slot position number of the metropolitan area network equipment and the like, whether the candidate expansion strategy is reasonable or not can be comprehensively determined according to the state information of the metropolitan area network equipment and the expansion information corresponding to the candidate expansion strategy, and the accuracy of the expansion demand evaluation can be improved.

In the embodiment of the present application, the determination device for capacity expansion rationality and the like may be divided into functional modules according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

In the case of dividing each functional module according to each function, fig. 4 is a schematic diagram illustrating a possible structure of the determination device for capacity expansion rationality according to the foregoing embodiment, and as shown in fig. 4, the determination device 30 for capacity expansion rationality may include: an acquisition module 301 and a determination module 302.

An obtaining module 301, configured to obtain status information of multiple pieces of metropolitan area network equipment and capacity expansion information corresponding to a candidate capacity expansion policy, where the capacity expansion information corresponding to the candidate capacity expansion policy includes capacity expansion information of each of the multiple pieces of metropolitan area network equipment;

the state information of a metropolitan area network device includes port configuration condition of the metropolitan area network device, port use condition of the metropolitan area network device, existing traffic from the metropolitan area network device to other metropolitan area network devices, the number of offline ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, the number of obsolete ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, platform capability of the metropolitan area network device, slot position number of the metropolitan area network device, and used slot position number of the metropolitan area network device; the port configuration condition of the metropolitan area network device comprises the configuration number of ports with different granularities of the metropolitan area network device, and the port use condition of the metropolitan area network device comprises the use number of the ports with different granularities of a plurality of transmission directions corresponding to the metropolitan area network device;

the capacity expansion information of a metropolitan area network device includes predicted traffic of a plurality of transmission directions corresponding to the metropolitan area network device, target bandwidths of the plurality of transmission directions corresponding to the metropolitan area network device, the number of target ports of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, the number of ports to be expanded of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, and board card information to be expanded of the metropolitan area network device.

The determining module 302 is configured to determine that the candidate expansion policy is reasonable based on the status information of the multiple metro network devices and the expansion information corresponding to the candidate expansion policy under the condition that the expansion checking condition is satisfied.

Optionally, the metropolitan area network device includes at least two of the following devices: core convergence layer equipment, service control layer equipment or access convergence layer equipment.

Optionally, the expansion checking condition includes:

the method comprises the following steps that 1, the configuration number of ports with the m-th granularity of metropolitan area network equipment k is larger than or equal to the use number of the ports with the m-th granularity of the metropolitan area network equipment k; the using number of the ports with the m-th granularity of the metropolitan area network equipment k is the sum of the using numbers of the ports with the m-th granularity of a plurality of transmission directions corresponding to the metropolitan area network equipment k; wherein K is 1,2, …, K is the total number of the metro network devices, M is 1,2, …, M is the number of port granularities of the metro network devices;

the method comprises the following steps that 2, the existing flow from an ith class of metropolitan area network equipment to a jth class of metropolitan area network equipment is equal to the existing flow from the jth class of metropolitan area network equipment to the ith class of metropolitan area network equipment; the existing flow from the ith class metropolitan area network equipment to the jth class metropolitan area network equipment is the sum of the existing flow from all the ith class metropolitan area network equipment to all the jth class metropolitan area network equipment, and the existing flow from the jth class metropolitan area network equipment to the ith class metropolitan area network equipment is the sum of the existing flow from all the jth class metropolitan area network equipment to all the ith class metropolitan area network equipment; wherein i ≠ 1,2, …, N, j ≠ 1,2, …, N, and i ≠ j;

the method comprises the following steps that (1) a condition 3 is that the predicted flow from the ith class of metropolitan area network equipment to the jth class of metropolitan area network equipment is equal to the predicted flow from the jth class of metropolitan area network equipment to the ith class of metropolitan area network equipment; the predicted flow from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment is the sum of the predicted flows from all the i-th class metropolitan area network equipment to all the j-th class metropolitan area network equipment, and the predicted flow from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment is the sum of the predicted flows from all the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment; wherein i ≠ 1,2, …, N, j ≠ 1,2, …, N, and i ≠ j;

condition 4, the number of the ports with m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment of the i-th class metropolitan area network equipment is equal to the number of the ports with m-th granularity from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment of the j-th class metropolitan area network equipment; the using number of the ports with the m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment is the sum of the using numbers of the ports with the m-th granularity from all the i-th class metropolitan area network equipment to all the j-th class metropolitan area network equipment, and the using number of the ports with the m-th granularity from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment is the sum of the using numbers of the ports with the m-th granularity from all the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment; where i ≠ j, M ≠ 1,2, …, N, j ═ 1,2, …, N, and i ≠ j, M ═ 1,2, …, M is the number of port granularities of the metro network devices;

the method comprises the following steps that (1) a condition 5 is that the number of target ports with m-th granularity from an i-th class metropolitan area network device to a j-th class metropolitan area network device of the i-th class metropolitan area network device is equal to the number of target ports with m-th granularity from the j-th class metropolitan area network device to the i-th class metropolitan area network device of the j-th class metropolitan area network device; the number of the m-th granularity target ports from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment is the sum of the number of the m-th granularity target ports from all the i-th class metropolitan area network equipment to all the j-th class metropolitan area network equipment, and the number of the m-th granularity target ports from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment is the sum of the number of the m-th granularity target ports from all the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment; where i ≠ j, M ≠ 1,2, …, N, j ═ 1,2, …, N, and i ≠ j, M ═ 1,2, …, M is the number of port granularities of the metro network devices;

condition 6, target bandwidths of a plurality of transmission directions corresponding to the metropolitan area network device k are respectively greater than or equal to a first threshold corresponding to the transmission direction and less than or equal to a second threshold corresponding to the transmission direction, and the first threshold corresponding to the transmission direction and the second threshold corresponding to the transmission direction are determined according to predicted traffic of the transmission direction; wherein K is 1,2, …, and K is the total number of metropolitan area network devices;

the method includes the steps that a condition 7 is that the number of ports to be expanded with m-th granularity in multiple transmission directions corresponding to metropolitan area network equipment k of the metropolitan area network equipment k is equal to the number of ports to be expanded with m-th granularity in multiple transmission directions corresponding to the metropolitan area network equipment k; the number of ports to be expanded in the expected m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k is determined according to the number of target ports in the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k, the number of offline ports in the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k, and the number of obsolete ports in the m-th granularity of the multiple transmission directions corresponding to the metropolitan area network device k; wherein K is 1,2, …, K is the total number of the metro network devices, M is 1,2, and M is the number of port granularities of the metro network devices;

the method includes the steps that condition 8 is that information of a board card to be expanded of a metropolitan area network device k is consistent with information of an expected board card to be expanded of the metropolitan area network device k, the information of the expected board card to be expanded of the metropolitan area network device k is determined according to information of a port to be expanded of the metropolitan area network device k, platform capacity of the metropolitan area network device k and a residual slot position of the metropolitan area network device, the residual slot position is the difference between the number of the slot positions of the metropolitan area network device k and the number of the used slot positions of the metropolitan area network device k, and the information of the port to be expanded of the metropolitan area network device k includes the number of the ports to be expanded of different granularities in a plurality of transmission directions corresponding to the metropolitan area network device k; where K is 1,2, …, and K is the total number of metro network devices.

Optionally, the number of expected ports to be expanded in the mth granularity of the multiple transmission directions corresponding to the metropolitan area network device k satisfies:

wherein the content of the first and second substances,

the number of the obsolete ports with the port granularity x in the transmission direction y corresponding to the metropolitan area network device k is represented.

In the case of an integrated unit, fig. 5 shows a schematic diagram of a possible structure of the expansion rationality determining means according to the above-described embodiment. As shown in fig. 5, the expansion rationality determining means 40 may include: a processing module 401 and a communication module 402. The processing module 401 may be configured to control and manage the action of the determination device 40 of the capacity expansion rationality, for example, the processing module 401 may be configured to support the determination device 40 of the capacity expansion rationality to execute S101 and S102 in the above-described method embodiment. The communication module 402 may be used to support communication of the determination device 40 of the expansion rationality with other entities. Optionally, as shown in fig. 5, the determination device 40 for determining the rationality of expansion may further include a storage module 403 for storing the program code and data of the determination device 40 for determining the rationality of expansion.

The processing module 401 may be a processor or a controller (for example, the processor 201 shown in fig. 2). The communication module 402 may be a transceiver, a transceiver circuit, a communication interface, etc. (e.g., may be the communication interface 203 as shown in fig. 2). The storage module 403 may be a memory (e.g., may be the memory 202 described above and shown in fig. 2).

When the processing module 401 is a processor, the communication module 402 is a transceiver, and the storage module 403 is a memory, the processor, the transceiver, and the memory may be connected by a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.

It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the invention are all or partially effected when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, etc., that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for determining the rationality of expansion is characterized by comprising the following steps:

acquiring state information of a plurality of metropolitan area network devices and expansion information corresponding to a candidate expansion strategy, wherein the expansion information corresponding to the candidate expansion strategy comprises the expansion information of each of the plurality of metropolitan area network devices;

the state information of one metropolitan area network device comprises port configuration conditions of the metropolitan area network device, port use conditions of the metropolitan area network device, existing flow from the metropolitan area network device to other metropolitan area network devices, the number of offline ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, the number of worn ports with different granularities in a plurality of transmission directions corresponding to the metropolitan area network device, platform capacity of the metropolitan area network device, the number of slot positions of the metropolitan area network device and the number of used slot positions of the metropolitan area network device; the port configuration condition of the metropolitan area network equipment comprises the configuration number of ports with different granularities of the metropolitan area network equipment, and the port use condition of the metropolitan area network equipment comprises the use number of the ports with different granularities of a plurality of transmission directions corresponding to the metropolitan area network equipment;

the capacity expansion information of a metropolitan area network device comprises predicted flow of a plurality of transmission directions corresponding to the metropolitan area network device, target bandwidth of the plurality of transmission directions corresponding to the metropolitan area network device, the number of target ports of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, the number of ports to be expanded of different granularities of the plurality of transmission directions corresponding to the metropolitan area network device, and board card information to be expanded of the metropolitan area network device;

and determining that the candidate capacity expansion strategy is reasonable under the condition that a capacity expansion check condition is satisfied based on the state information of the plurality of metropolitan area network devices and the capacity expansion information corresponding to the candidate capacity expansion strategy.

2. The method of claim 1,

the metropolitan area network devices include at least two of the following: core convergence layer equipment, service control layer equipment or access convergence layer equipment.

3. The method according to claim 1 or 2, wherein the capacity expansion check condition comprises:

the method comprises the following steps that (1) a condition 3 is that the predicted flow from an ith class of metropolitan area network equipment to a jth class of metropolitan area network equipment is equal to the predicted flow from the jth class of metropolitan area network equipment to the ith class of metropolitan area network equipment; the predicted flow from the ith class metropolitan area network equipment to the jth class metropolitan area network equipment is the sum of the predicted flows from all the ith class metropolitan area network equipment to all the jth class metropolitan area network equipment, and the predicted flow from the jth class metropolitan area network equipment to the ith class metropolitan area network equipment is the sum of the predicted flows from all the jth class metropolitan area network equipment to all the ith class metropolitan area network equipment; wherein i ≠ 1,2, …, N, j ≠ 1,2, …, N, and i ≠ j;

the method comprises the following steps that a condition 4 is met, the number of usage of ports with m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment of the i-th class metropolitan area network equipment is equal to the number of usage of ports with m-th granularity from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment of the j-th class metropolitan area network equipment; the using number of the ports with the m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment is the sum of the using numbers of the ports with the m-th granularity from all the i-th class metropolitan area network equipment to all the j-th class metropolitan area network equipment, and the using number of the ports with the m-th granularity from the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment is the sum of the using numbers of the ports with the m-th granularity from all the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment; where i ≠ j, M ≠ 1,2, …, N, j ═ 1,2, …, N, and i ≠ j, M ═ 1,2, …, M is the number of port granularities of the metro network devices;

the method comprises the following steps that (1) the number of target ports with m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment of the i-th class metropolitan area network equipment is equal to the number of target ports with m-th granularity from the j-th class metropolitan area network equipment to the i-th class metropolitan area network equipment of the j-th class metropolitan area network equipment; the number of the target ports with the m-th granularity from the i-th class metropolitan area network equipment to the j-th class metropolitan area network equipment is the sum of the number of the target ports with the m-th granularity from all the i-th class metropolitan area network equipment to all the j-th class metropolitan area network equipment, and the number of the target ports with the m-th granularity from the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment is the sum of the number of the target ports with the m-th granularity from all the j-th class metropolitan area network equipment to all the i-th class metropolitan area network equipment; where i ≠ j, M ≠ 1,2, …, N, j ═ 1,2, …, N, and i ≠ j, M ═ 1,2, …, M is the number of port granularities of the metro network devices;

condition 6, target bandwidths of a plurality of transmission directions corresponding to a metropolitan area network device k are respectively greater than or equal to a first threshold corresponding to the transmission direction and less than or equal to a second threshold corresponding to the transmission direction, and the first threshold corresponding to the transmission direction and the second threshold corresponding to the transmission direction are determined according to predicted traffic of the transmission direction; wherein K is 1,2, …, and K is the total number of metropolitan area network devices;

the method comprises the following steps that (1) condition 8, information of a board card to be expanded of a metropolitan area network device k is consistent with information of an expected board card to be expanded of the metropolitan area network device k, the information of the expected board card to be expanded of the metropolitan area network device k is determined according to information of a port to be expanded of the metropolitan area network device k, platform capacity of the metropolitan area network device k and a residual slot position of the metropolitan area network device, the residual slot position is the difference between the number of the slot positions of the metropolitan area network device k and the number of the used slot positions of the metropolitan area network device k, and the information of the port to be expanded of the metropolitan area network device k comprises the number of the ports to be expanded of different granularities in a plurality of transmission directions corresponding to the metropolitan area network device k; where K is 1,2, …, and K is the total number of metro network devices.

4. The method according to claim 3, wherein the number of ports expected to be expanded with m-th granularity of a plurality of transmission directions corresponding to the metropolitan area network device k satisfies:

wherein the content of the first and second substances,

5. An expansion rationality determining apparatus, comprising: the device comprises an acquisition module and a determination module;

the acquisition module is used for acquiring state information of a plurality of metropolitan area network devices and capacity expansion information corresponding to a candidate capacity expansion strategy, wherein the capacity expansion information corresponding to the candidate capacity expansion strategy comprises the capacity expansion information of each of the plurality of metropolitan area network devices;

the determining module is configured to determine that the candidate expansion policy is reasonable based on the status information of the multiple metro network devices and the expansion information corresponding to the candidate expansion policy under the condition that an expansion verification condition is satisfied.

6. The apparatus of claim 5,

7. The apparatus of claim 5 or 6, wherein the capacity expansion checking condition comprises:

8. The apparatus according to claim 7, wherein the number of ports expected to be expanded with m-th granularity of a plurality of transmission directions corresponding to the metro network device k satisfies:

wherein the content of the first and second substances,

expected to-be-expanded port granularity x representing transmission direction y corresponding to metropolitan area network equipment kThe number of the receiving ports is such that,

9. A determination device of expansion rationality, characterized by comprising: a processor, a memory, a bus, and a communication interface; the memory is configured to store computer instructions, and when the determination device of the flash rationality is operated, the processor executes the computer instructions stored in the memory, so that the determination device of the flash rationality performs the method of determining the flash rationality according to any one of claims 1 to 4.

10. A computer-readable storage medium having stored therein instructions that, when executed on a determination device of expansion rationality, cause the determination device of expansion rationality to execute the determination method of expansion rationality according to any one of claims 1 to 4.