CN114338503B - Method and device for adjusting domain resources in communication network - Google Patents
Method and device for adjusting domain resources in communication network Download PDFInfo
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Abstract
The invention discloses a method and a device for adjusting domain resources in a communication network, wherein the method comprises the following steps: the method comprises the steps that a preset resource area is used for carrying out weight scoring on each network element in the preset resource area; distributing corresponding time slot bandwidth values to the network elements according to the weight scores of the network elements in the preset resource area; and when the network elements in the preset resource area are operated concurrently, re-routing resources are distributed according to the time slot bandwidth values corresponding to the network elements. The invention provides a method and a device for adjusting domain resources in a communication network, which are used for carrying out dynamic time slot size modeling and local modeling aiming at a concurrent use scene of an intelligent service, carrying out dynamic adjustment aiming at a topological situation and improving the management efficiency of the intelligent service on the premise of improving the concurrent efficiency as much as possible.
Description
Technical Field
The present invention belongs to the field of communication technology, and more particularly, to a method and an apparatus for adjusting domain-divided resources in a communication network.
Background
When the existing OTN electric layer intelligent service is in the intelligent service establishing process or the rerouting switching process, the resource control is based on port level locking, the port resource granularity is large, and high probability conflict exists in concurrent processing, wherein the conflict refers to the distribution modification operation of a plurality of different users on the same equipment communication resource at a certain time point. The concurrent operation refers to a process of sensing that after the network topology and the environment change, the intelligent service in the domain concurrently performs rerouting.
In the prior art, electrical layer resource modeling at the time slot level of the whole network is usually performed, that is, OTN electrical layer port resources of the whole network are modeled and managed according to the minimum time slot, rather than the physical port, and device communication resources (ports, time slots, channels, and the like) are abstracted as management objects on a network management system. The user uses the network management system to configure the equipment, which is realized by the object generated by modeling, the electrical layer resource modeling of the whole network time slot level can cause the background management resource to increase the order of magnitude, and the resource processing efficiency is greatly reduced.
In view of the above, overcoming the drawbacks of the prior art is an urgent problem in the art.
Disclosure of Invention
The invention provides a method and a device for adjusting domain resources in a communication network, aiming at solving the technical problem that port resources conflict when batch intelligent services are processed concurrently by locking the domain resources based on time slot level modeling and performing concurrent operation based on time slot level port resources of different particles.
To achieve the above object, according to an aspect of the present invention, there is provided a method for adjusting domain resources in a communication network, the method comprising:
the method comprises the steps that a preset resource area is used for carrying out weight scoring on each network element in the preset resource area;
distributing corresponding time slot bandwidth values to the network elements according to the weight scores of the network elements in the preset resource area;
and when the network elements in the preset resource area are operated concurrently, the rerouting resources are distributed according to the time slot bandwidth values corresponding to the network elements.
As a further improvement and complement to the above solution, the present invention also comprises the following additional technical features.
Preferably, the network elements in the preset resource area support intelligent service deployment, and the network elements in the preset resource area include a first network element that has created an intelligent service and a second network element that has not created an intelligent service;
the first network element is connected with a channel of the total bandwidth of the intelligent service as the edge of the intelligent service topology;
and the second network element is connected with a channel of the spare total bandwidth as an edge of the spare bandwidth topology.
Preferably, the method for performing weight scoring on each network element in the preset resource area includes:
determining the number of connected topological network elements according to the position of the network element to be scored in the intelligent service topology to obtain M1;
calculating total weight according to the priority intelligent service of the network element to be scored to obtain M2;
obtaining M3 according to the total available intelligent service resource weight of the network element to be scored in the vacant bandwidth topology;
standardizing the M1, the M2 and the M3 to obtain M1 Standard value of 、M2 Standard value And M3 Standard value of ；
Calculating according to a standard value to obtain weighted values P1, P2 and P3 corresponding to M1, M2 and M3 of the network element to be scored in the preset resource area respectively;
the total weight M calculation formula of the network element to be scored is as follows: m = P1 × M1 Standard value +P2×M2 Standard value +P3×M3 Standard value of 。
Preferably, the number of the topology network elements connected is determined according to the position of the network element to be scored in the intelligent service topology, and the method includes:
and judging whether the network element to be scored is directly connected with the first network element, if so, counting the network element to be scored into the M1, and if not, counting the network element to be scored into the M1.
Preferably, the total weight score M2 is calculated according to the priority intelligent service of the network element to be scored, and the method further comprises:
judging the bandwidth rate of the intelligent service loaded on the network element to be scored;
presetting a priority weighted value W according to the bandwidth rate borne by the network element to be scored;
and weighting and summing the bandwidth rate of the intelligent service loaded on the network element to be scored and the corresponding priority weight value W to obtain M2.
Preferably, the total available intelligent service resource weight of the network element to be scored in the spare bandwidth topology is divided to obtain M3, and the specific method includes:
and M3 is an idle total flow rate which is the sum of the total intelligent service channel bandwidths on the network elements to be evaluated minus the occupied intelligent service channel bandwidth.
Preferably, the method allocates a corresponding time slot bandwidth value to each network element according to the weight score of each network element in the preset resource area, and specifically includes:
presetting a time slot bandwidth value and a corresponding time slot bandwidth value serial number existing between network elements in the preset resource area;
after obtaining the total weight score M of each network element in the resource region, obtaining Mmax and Mmin in the total weight score M of each network element, wherein: mmax is the highest weight value among all network elements in the resource region, and Mmin is the lowest weight value among all network elements in the resource region;
and calculating to obtain a time slot bandwidth value serial number according to the total weight score M of each network element, the Mmax and the Mmin, and obtaining the time slot bandwidth value distributed to each network element according to the time slot bandwidth value serial number.
Preferably, when the network elements in the preset resource area perform concurrent operation, the rerouting resource is allocated according to the time slot bandwidth value corresponding to each network element, and the specific method includes:
in the preset resource area, the rerouting intelligent service port is refined into a corresponding modeling granularity according to the time slot bandwidth value of each network element, and each network element concurrently processes the rerouting intelligent service.
Preferably, the time slot bandwidth value in the resource area or the network element score in the resource area is calculated in a timed mode or manually triggered and calculated manually.
In a second aspect, the present invention provides a device for adjusting domain-divided resources in a communication network, configured to implement the method for adjusting domain-divided resources in the communication network in the first aspect, where the device includes:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor to perform the method for adjusting domain-divided resources in a communication network according to the first aspect.
In a third aspect, the present invention further provides a non-volatile computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions are executed by one or more processors, and are configured to perform the method for adjusting domain-divided resources in a communication network according to the first aspect.
Generally, compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the invention provides a method and a device for adjusting domain resources in a communication network, which are used for carrying out dynamic time slot size modeling and local modeling aiming at the concurrent use scene of network elements in a resource area, carrying out dynamic adjustment aiming at the topological situation and improving the management efficiency of intelligent services on the premise of improving the concurrent efficiency as much as possible.
Drawings
Fig. 1 is a flowchart illustrating a method for adjusting domain resources in a communication network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a region for detailed management of network element resources in the first embodiment;
fig. 3 is a schematic diagram illustrating the preemption of network element resources before detailed management in the first embodiment;
fig. 4 is a schematic diagram illustrating that network element resources avoid preemption after detailed management in the first embodiment;
fig. 5 is a schematic diagram of a domain-divided resource adjusting apparatus in the communication network according to the second embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
In the description of the present invention, the terms "inner", "outer", "longitudinal", "lateral", "upper", "lower", "top", "bottom", and the like indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings, and are for convenience in describing the present invention only and do not require that the present invention be constructed and operated in a particular orientation, and therefore should not be construed as limiting the present invention.
In the present invention, unless expressly stated or limited otherwise, the recitation of a first feature "on" or "under" a second feature may include the recitation of the first and second features being in direct contact, and may also include the recitation that the first and second features are not in direct contact, but are in contact via another feature between them. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. "beneath," "under" and "beneath" a first feature includes the first feature being directly beneath and obliquely beneath the second feature, or simply indicating that the first feature is at a lesser elevation than the second feature.
The first embodiment is as follows:
in order to solve the conflict problem existing in the following two scenes in the OTN communication network: firstly, a batch rerouting electrical layer intelligent service scene; and secondly, a multi-user concurrent intelligent service scene.
In this embodiment, a method for adjusting domain-divided resources in a communication network is provided, as shown in fig. 1, the method includes:
s101: and the preset resource area is used for carrying out weight scoring on each network element in the preset resource area.
The network elements in the preset resource area support intelligent service deployment, and the network elements in the preset resource area comprise a first network element which creates the intelligent service and a second network element which does not create the intelligent service.
The intelligent service refers to an operation that can automatically sense network topology and environment change and needs to adjust a routing path.
The first network element is connected with a channel of the total bandwidth of the intelligent service as the edge of the intelligent service topology;
and the second network element is connected with a channel of the spare total bandwidth as an edge of the spare bandwidth topology.
The resource division of the network elements in the domain is determined according to the topology, and the topology can be changed according to the available resources and the used resources. In this embodiment, the resource subdivision is based on a reserved resource topology, and the resource division may also change dynamically after the topology changes.
The network element in the resource area is a network element for manually determining networking, and the network element needs to support intelligent service deployment; whether the network element supports intelligent service deployment is determined by the relevant equipment.
The network elements include a rerouted intelligent service network element and an electrical layer OTN network element for intelligent service rerouting.
And the rerouting intelligent service network element is the created intelligent service.
The electric layer OTN network element used for intelligent service rerouting is specifically an intelligent service which is not created.
S102: and distributing corresponding time slot bandwidth values to the network elements according to the weight scores of the network elements in the preset resource area.
And calculating the time slot bandwidth value of each network element in the resource area according to the type and the number of the intelligent service rerouted in the resource area, wherein the time slot bandwidth value of each network element can be one of 1.25G, 2.5G, 5G, 10G, 40G and 100G.
And the scoring of each network element in the resource area is to perform resource refinement management on the network elements so as to facilitate resource adjustment in the later period. And scoring each network element in the resource area is to calculate the total weight according to the position of the network element to be scored in the intelligent service topology, the priority intelligent service and the total available intelligent service resource weight in the vacant bandwidth topology, calculate the total weight M of each network element in the resource area according to the weighted scores of the network element to be scored, and sort according to the total weight M.
S103: and when the network elements in the preset resource area are operated concurrently, re-routing resources are distributed according to the time slot bandwidth values corresponding to the network elements.
When the intelligent service is modified and issued, time slot and bandwidth rate resources related to the intelligent service need to be locked. Concurrent operation means that a plurality of execution units are executed simultaneously and in parallel, and the access of concurrent execution units to shared resources (global variables, static variables and the like on hardware resources and software) easily causes competition.
And carrying out concurrent operation based on the modeling resources and the modeling particles of the network elements in the resource region, wherein the modeling particles can accommodate intelligent services with the time slot bandwidth value being less than or equal to that of the time slot bandwidth value according to the time slot bandwidth value divided by the resources corresponding to the modeling particles during the concurrent operation.
The embodiment aims at the concurrency use scene of the intelligent service, performs dynamic time slot size modeling and local modeling, performs dynamic adjustment according to the topological situation, and improves the management efficiency of the intelligent service on the premise of improving the concurrency efficiency as much as possible.
In order to determine the resource range, in combination with the embodiment of the present invention, there is also a preferred implementation, specifically, as shown in fig. 2, the method for presetting the resource region includes:
the network elements in the preset resource area support intelligent service deployment, and the network elements in the preset resource area comprise a first network element which creates an intelligent service and a second network element which does not create the intelligent service;
the first network element is connected with a channel of the total bandwidth of the intelligent service as the edge of the intelligent service topology;
and the second network element is connected with a channel of the vacant total bandwidth as an edge of the vacant bandwidth topology.
And based on the network element complete set currently managed, dividing a network element resource subset needing detailed management. As shown in fig. 2, the electrical layer ports of network element a in the directions of network elements B and E need to be divided into sets, and the network elements in the other three directions do not support intelligent service deployment and are not divided into sets. A subset of the dashed boxes in fig. 2 encompasses all rerouted intelligent service network element resources, as well as electrical layer OTN network element resources available for intelligent service rerouting.
In order to distinguish the topology of created intelligent service from the topology of non-created intelligent service in the resource area, as shown in fig. 2, the total bandwidth of intelligent service and the total bandwidth of spare intelligent service between network elements in the resource area are respectively defined as edges to create the intelligent service topology and the spare bandwidth topology, and nodes in the intelligent service topology and the spare bandwidth topology both use the network elements in the resource area as nodes, and only the edges of the topologies are different.
Referring to the intelligent service resource domain map of fig. 2, 2 models are created to distinguish the topology of created intelligent service from the topology of not created intelligent service in the resource area, and if the total bandwidth flow of the intelligent service between the a-B network elements is 200G, the side length between the a-B network elements is 200; the side length of the A-C network element is not reachable.
In order to dynamically score each network element in a resource area, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, and specifically, the method for scoring each network element in the resource area includes:
determining the number of connected topological network elements according to the position of the network element to be scored in the intelligent service topology to obtain M1;
calculating total weight according to the priority intelligent service of the network element to be scored to obtain M2;
obtaining M3 according to the total available intelligent service resource weight of the network element to be scored in the vacant bandwidth topology;
standardizing the M1, the M2 and the M3 to obtain M1 Standard value 、M2 Standard value of And M3 Standard value of ；
Calculating according to a standard value to obtain weighted values P1, P2 and P3 corresponding to M1, M2 and M3 of the network element to be scored in the preset resource area respectively;
the total weight M calculation formula of the network element to be scored is as follows: m = P1 × M1 Standard value +P2×M2 Standard value of +P3×M3 Standard value 。
Scoring data of each network element is calculated based on a total weight division M calculation formula of the network elements to be scored, for example, { M1A, M1B... } { M2A, M2B.... } { M3A, M3B.... } uses an entropy value method to calculate information entropy weights P1, P2 and P3 of each score.
In this embodiment, in order to determine the value of M1, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, specifically, the number of network elements connected to a topology is determined according to the position of the network element to be scored in the intelligent service topology, where the specific method includes:
and judging whether the network element to be scored is directly connected with the first network element, if so, counting the network element to be scored into the M1, and if not, directly connecting the network element to be scored with the second network element, and not counting the network element to be scored into the M1.
In the first embodiment, as shown in fig. 2, if the number of directly connected topological network elements of the network element a in the intelligent service topology is 2, the value of M1 of the network element a is 2.
In order to calculate the total weight of the priority intelligent service calculation for each network element in the resource area, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, specifically, the total weight M2 is calculated according to the priority intelligent service of the network element to be scored, and the specific method includes:
judging the bandwidth rate of the intelligent service loaded on the network element to be scored;
presetting a priority weighted value W according to the bandwidth rate borne by the network element to be scored;
and weighting and summing the bandwidth rate of the intelligent service loaded on the network element to be scored and the corresponding priority weighted value W to obtain M2.
In this embodiment, the bandwidth capability of the intelligent service channel is divided into three levels, the value of Wn of the to-be-scored network element may be set to be one of W high =2, W medium =1, or W low =0.5 in the order of the bandwidth capability of the intelligent service channel, and all of the values are set to be W medium =1 in an undefined condition of the user. The core trunk intelligent traffic may be set to W high =2, and generally, intelligent traffic of 40G or more may be set to W high. The division of the bandwidth capability level of the intelligent service channel can be more detailed, the weight value of the intelligent service is high, and the weight value of the intelligent service is low. The weight setting of the intelligent service is set according to the user requirements and is not a fixed value.
The value of the bandwidth rate value Kn of the intelligent service channel is as follows: 1.25,2.5,5, 10, 40, or 100 in Gbps. And determining n values in Kn according to the number of the bandwidth rate values of the intelligent service channels, wherein the numerical values of the Kn are sorted from small to large, if 6 intelligent service channels with different rate values exist, the same rate value does not count the number, the maximum rate of the n value in the Kn is 6, the maximum rate of the K is K6=100, and the minimum rate of the K is K1=1.25. And selecting a corresponding priority weight value according to the rate Kn corresponding to each intelligent service on the network element to be scored and the intelligent service weight attribute of the network element to be scored, and calculating to obtain the total weight calculation M2 of the intelligent services of the priority of the network element to be scored.
In this embodiment, in order to calculate and obtain the total available intelligent service resource weight of the to-be-scored network element in the spare bandwidth topology, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, specifically, the total available intelligent service resource weight of the to-be-scored network element in the spare bandwidth topology is obtained as M3, and the specific method includes:
and M3 is an idle total flow rate which is the sum of the total intelligent service channel bandwidths on the network element to be evaluated minus the occupied intelligent service channel bandwidth. In the spare bandwidth topology, the sum of the idle total flow of each network element is M3, and the calculation mode of the idle flow of each network element is that the occupied intelligent service channel bandwidth is subtracted from the total intelligent service channel bandwidth on the network element to be evaluated.
In order to rank all network elements in a resource area, and thereby find a network element corresponding to a time slot bandwidth value according to a modeling granularity, and obtain a time slot division scheme for the network element in the resource area, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, and specifically, a corresponding time slot bandwidth value is allocated to each network element according to a weight score of each network element in the preset resource area, and the specific method includes:
presetting a time slot bandwidth value and a corresponding time slot bandwidth value serial number existing between network elements in the preset resource area;
after obtaining the total weight score M of each network element in the resource region, obtaining Mmax and Mmin in the total weight score M of each network element, wherein: mmax is the highest weight value among all network elements in the resource region, and Mmin is the lowest weight value among all network elements in the resource region.
And calculating to obtain a time slot bandwidth value serial number according to the total weight score M of each network element, the Mmax and the Mmin, and obtaining the time slot bandwidth value distributed to each network element according to the time slot bandwidth value serial number.
And dividing the time slot of any network element to be scored, wherein the specific method comprises the following steps of: and n in the time slot bandwidth value Sn of the network element to be scored is n = integer [1+ (nmax-1) x (M-Mmin)/(Mmax-Mmin) ].
nmax is the number of the time slot bandwidth values of the network element to be scored.
And the rerouting intelligent service port modeling granularity is related to the value of the timeslot bandwidth value Sn.
In this first embodiment, the value of the timeslot bandwidth S ranges from one or more of 1.25,2.5,5, 10, 40, or 100. The total weight score M determines the value of the value n of the timeslot bandwidth value Sn, the number of the timeslot bandwidth values Sn is up to 6, which is S1-S6, and if n =6 and nmax is 6, the values of Sn are S1=1.25, S2=2.5, S3=5, S4=10, S5=40, S6=100, and the unit is Gbps. If n =2, nmax =2, sn takes on values S1=1.25, S2=2.5, or S1=10, S2=40, respectively. The value of Sn is preset by a user.
S1 is the minimum time slot bandwidth value of the network element to be scored, smax is the maximum time slot bandwidth value of the network element to be scored, S is sorted from small to large according to the numerical value of the time slot bandwidth value, and nmax is the number of the time slot bandwidth values of the network element to be scored.
The modeled granularity is related to the value of the slot bandwidth value Sn.
In this embodiment one, if all the intra-domain rerouted intelligent services are ODU1 intelligent services, the timeslot division may be based on 10G; if the intelligent service of the intra-domain rerouting has ODU1, GE and STM1 intelligent services, the time slot division is based on 1.25G, 2.5G or 10G; if the intra-domain rerouting intelligent services are all the FLEXE intelligent services of the 5G particles, the time slot division can be based on the 5G particles; and if the intra-domain rerouted intelligent services are all 40G large-granule intelligent services, dividing the time slot based on 40G.
In this embodiment, in order to correspond the total weight splitting M ordering result of the network elements to be scored to the size of the timeslot bandwidth value, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, specifically, when the network elements in the preset resource area perform concurrent operations, rerouting resources are allocated according to the timeslot bandwidth values corresponding to the network elements, where the specific method includes:
and in the preset resource area, the rerouting intelligent service port is refined into corresponding modeling granularity according to the time slot bandwidth value of each network element, and each network element concurrently processes the rerouting intelligent service.
And the modeling granularity is related to the time slot bandwidth value Sn of the network element to be scored, the network elements in the resource region are sorted according to the scoring sequence, and the total weight score M of the network element to be scored is in reverse correspondence with the time slot bandwidth value of the network element to be scored.
In this embodiment, when the time slot bandwidth value of the network element to be scored is 40 or 100, the network element is a core network element. And calculating the low score when the time slot bandwidth value of the network element to be scored is 5 or 10, wherein the network element is an edge network element. For a high-core network element, selecting a small slot granularity setting, e.g., 1.25G, 2.5G; for low-resolution edge network elements, large slot granularity settings, e.g., 40G, 100G, are used. When the intra-domain intelligent service performs concurrent operations such as batch rerouting and the like, resource locking is based on time slot level modeling, the concurrent operations are based on time slot level port resources of different particles, no conflict is generated, and the problem of concurrent processing of the intra-domain intelligent service is solved.
As shown in fig. 3, before PN resource subdivision, after P1, P2, and P3 intelligent services are interrupted, PN1, PN2, and PN3 resources are scheduled and preempted, which is likely to cause conflicts.
As shown in fig. 4, after PN resources are subdivided, P1, P2, and P3 intelligent services are interrupted and then respectively scheduled to seize PN1, PN2, and PN3 resources, so that no conflict occurs.
In this embodiment, in order to ensure high availability of timeslot modeling, the changing of the network element or the intelligent service in the resource area within the preset time includes:
in a preset time, the intelligent service in the resource area is modified, or the number of network elements in the resource area is increased or decreased. And after the resource topology changes, the resource adjustment is triggered again, so that the network resource intelligent service topology and the spare bandwidth topology are always in the optimal state. The preset time may be set to an empirical value in hours as a minimum unit. Any modification of the time slot modeling resources used during the time period, or an increase or decrease of network elements within the domain, is considered to be changed.
In this embodiment, in order to enrich the usage scenarios, in combination with the embodiment of the present invention, there is also a preferred implementation scheme, and specifically, the time slot bandwidth value in the resource area or the network element score in the resource area is calculated in a timed manner or manually triggered and calculated.
In this embodiment, if the time slot bandwidth value in the resource area or the network element state in the resource area changes, the score of the network element in the resource area needs to be updated, and the score may be calculated by setting a time period in advance, or may be manually triggered to be calculated, so as to improve the accuracy of the resource area.
Example two:
an exemplary scenario illustrates the method for adjusting a domain-divided resource in a communication network according to the first embodiment, as shown in fig. 2, a dashed line frame indicates that 100G of bandwidth of an intelligent service channel, which can be used for an intelligent service, exists between network elements for connection between the network elements. The subset in the dashed box encompasses all rerouted intelligent service network element resources and electrical layer OTN network element resources available for intelligent service rerouting.
There are 3 intelligent service lines in the dashed frame, which are:
intelligent service 1: A-B-D, selecting a bandwidth rate of 40G, a priority of high, and W is high =2;
intelligent service 2: A-E-D-C, selecting a bandwidth rate of 10G, a priority of medium, and W medium =1;
intelligent service 3: and A-B-D-C, the selected bandwidth rate is 10G, the priority is low, and W is low =0.5.
And counting the data quantity of each network element, as shown in the table I.
Table one:
for example, network element B, there are 4 network elements a/C/E/D connected to network element B, the value of M1 of network element B is 4, M2=40 × 2+10 × 1+10 × 0.5=85 of network element B, the number of intelligent services on network element B includes a-B/B-D, the number of connected network elements is 4, and both intelligent service 1 and intelligent service 3 include a-B/B-D, so M3=4 × 100- (40 + 10) =300 of network element B.
Standardizing the values in the table I to obtain X Standardization Numerical values, normalized calculation formula:
a second table:
from X Standardization Numerical calculation of X Specific gravity of Numerical values, obtain Table III, X Specific gravity of The numerical calculation formula is as follows:
table three:
from X Specific gravity of Numerical calculation of X Redundancy of entropy values Number, X Redundancy of entropy values For calculating the weights, X, of M1, M2 and M3 Redundancy of entropy values Numerical results are shown in Table four, X Redundancy of entropy values The numerical calculation formula is as follows:
where a represents the number of network elements in a dashed box, and a =5 in fig. 2.
Table four:
m1 entropy redundancy 0.353985163
M2 entropy redundancy 0.271159911
M3 entropy redundancy 0.321635069
From X Redundancy of entropy values Numerical calculation P Weight of ，P Weight of For scoring M1, M2 and M3, P Weight of Numerical results are shown in Table four, P Weight of The calculation formula of (2) is as follows:
in the second embodiment, the P1/P2/P3 values of the network elements A/B/C/D/E are shown in Table five.
Table five:
P1＝0.373883171744965
P2＝0.28640219492071
P3＝0.339714633334325
and calculating to obtain that the P1 values, the P2 values and the P3 values of the network elements A/B/C/D/E are the same.
Calculating the score of each network element according to a scoring formula, wherein the scoring formula is as follows:
M＝P1×M1 standardization +P2×M2 Standardization +P3×M3 Standardization In the second embodiment, the scores of the network elements a/B/C/D/E are shown in table six.
Table six:
from table six, mmax =0.966305624, mmin =0.286402195.
Two time slot bandwidth values, namely 40G and 10G, exist between preset network elements, wherein Smax =40G, smin =10G, the value of the time slot Sn is S1=40G and S2=10G, and the value of nmax =2, n is 1 and 2.
The calculation result of the value of n in the time slot bandwidth value Sn of each network element is shown in table seven, and the calculation formula of n in the time slot bandwidth value Sn is as follows: n = integer [1+ (nmax-1) × (M-Mmin)/(Mmax-Mmin) ]
TABLE VII:
therefore, the spare resources of the network element ACDE are divided according to the slot bandwidth value S1=40G, and the network element B is divided according to the slot bandwidth value S2= 10G.
Taking the example of resource division of the network element B, the resources and rates from the network element B to other network elements are:
B-A is 50G, B-E is 100G, B-D is 50G, B-C is 100G.
After the spare port resources of the network element connected to the network element B in each direction are divided, for example, in the B-ase:Sub>A direction, the network element B is divided according to the timeslot bandwidth value S2=10G, the 50G port resources of the B-ase:Sub>A can be divided into 5 port resources of 10G, and no matter the intelligent service in the B-ase:Sub>A direction is the 40G intelligent service or the 10G intelligent service, when trying to seize, ase:Sub>A plurality of ports with the same rate can be directly used for processing, and seizing does not occur.
The port resources in the C/D/E direction of the network element are the same and are not described again.
Example three:
in a third embodiment, a device for adjusting resources in a domain in a communication network is provided, configured to execute the method for adjusting resources in a domain in a communication network provided in the first embodiment, where the device includes:
at least one processor. And a memory communicatively coupled to the at least one processor. Wherein the memory stores instructions executable by the at least one processor, the instructions being programmed to perform a method for domain-wide resource adjustment in a communication network as provided in the first embodiment.
In the third embodiment, the domain resource adjusting apparatus in the communication network includes one or more processors 21 and a memory 22. In fig. 5, one processor 21 is taken as an example.
The processor 21 and the memory 22 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The memory 22 is used as a non-volatile computer-readable storage medium for storing non-volatile software programs and non-volatile computer-executable programs, such as the domain-divided resource adjusting method in the communication network in the first embodiment. The processor 21 executes the domain-wide resource adjustment means in the communication network by running non-volatile software programs and instructions stored in the memory 22.
The memory 22 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 22 may optionally include memory located remotely from the processor 21, and these remote memories may be connected to the processor 21 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions/modules are stored in the memory 22 and when executed by the one or more processors 21, perform the method for domain resource adjustment in a communication network according to the above embodiments, for example, perform the above-described steps shown in fig. 1.
It should be noted that, because the contents of information interaction, execution process, and the like between modules and units in the apparatus and the system are based on the same concept as the processing method embodiment of the present invention, specific contents may refer to the description in the method embodiment of the present invention, and are not described herein again.
Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: read Only Memory (ROM), random Access Memory (RAM), magnetic or optical disks, and the like.
Claims (10)
1. A method for adjusting domain resources in a communication network, the method comprising:
the method comprises the steps that a preset resource area is used for carrying out weight scoring on each network element in the preset resource area; the weighting scoring of each network element in the resource area is carried out by calculating the total weight of the intelligent service according to the position of the network element to be scored in the intelligent service topology, the priority intelligent service and the total available intelligent service resource weight in the vacant bandwidth topology, and the total weight score M of each network element in the resource area is obtained by calculating the weighted scores of the network element to be scored, the priority intelligent service and the vacant bandwidth topology;
distributing corresponding time slot bandwidth values to the network elements according to the weight scores of the network elements in the preset resource area;
and when the network elements in the preset resource area are operated concurrently, re-routing resources are distributed according to the time slot bandwidth values corresponding to the network elements.
2. The method as claimed in claim 1, wherein the network elements in the preset resource region support intelligent service deployment, and the network elements in the preset resource region include a first network element that has created an intelligent service and a second network element that has not created an intelligent service;
the first network element is connected with a channel of the total bandwidth of the intelligent service as the edge of the intelligent service topology;
and the second network element is connected with a channel of the vacant total bandwidth as an edge of the vacant bandwidth topology.
3. The method for adjusting domain resources in a communication network according to claim 1, wherein the weighting and scoring are performed on each network element in the preset resource area, and the specific method includes:
determining the number of connected topological network elements according to the position of the network element to be scored in the intelligent service topology to obtain M1;
calculating total weight according to the priority intelligent service of the network element to be scored to obtain M2;
obtaining M3 according to the total available intelligent service resource weight of the network element to be scored in the vacant bandwidth topology;
standardizing the M1, the M2 and the M3 to obtain M1 Standard value of 、M2 Standard value And M3 Standard value ；
Calculating according to a standard value to obtain weighted values P1, P2 and P3 corresponding to M1, M2 and M3 of the network element to be scored in the preset resource area respectively;
the total weight M calculation formula of the network element to be scored is as follows: m = P1 × M1 Standard value +P2×M2 Standard value +P3×M3 Standard value of 。
4. The method for adjusting domain-divided resources in a communication network according to claim 3, wherein the number of the topology network elements connected is determined according to the position of the network element to be scored in the intelligent service topology, and the method comprises:
and judging whether the network element to be scored is directly connected with the first network element, if so, counting the network element to be scored into the M1, and if so, directly connecting the network element to be scored with the second network element, and not counting the network element to be scored into the M1.
5. The method of claim 4, wherein the total weight M2 is calculated according to the priority intelligent service of the network element to be scored, and the method further comprises:
judging the bandwidth rate of the intelligent service borne on the network element to be scored;
presetting a priority weighted value W according to the bandwidth rate borne by the network element to be scored;
and weighting and summing the bandwidth rate of the intelligent service loaded on the network element to be scored and the corresponding priority weighted value W to obtain M2.
6. The method for adjusting the domain-divided resources in the communication network according to claim 5, wherein the total available intelligent service resource weight of the network element to be scored in the free bandwidth topology is divided to obtain M3, and the specific method comprises:
and M3 is an idle total flow rate which is the sum of the total intelligent service channel bandwidths on the network element to be evaluated minus the occupied intelligent service channel bandwidth.
7. The method of claim 6, wherein the step of allocating a corresponding time slot bandwidth value to each network element according to the weight score of each network element in the preset resource area comprises:
presetting a time slot bandwidth value and a corresponding time slot bandwidth value serial number existing between network elements in the preset resource area;
after obtaining the total weight score M of each network element in the resource area, obtaining Mmax and Mmin in the total weight score M of each network element, wherein: mmax is the highest weight value in all network elements in the resource area, and Mmin is the lowest weight value in all network elements in the resource area;
and calculating to obtain a time slot bandwidth value serial number according to the total weight score M of each network element, the Mmax and the Mmin, and obtaining the time slot bandwidth value distributed to each network element according to the time slot bandwidth value serial number.
8. The method for adjusting domain-divided resources in a communication network according to claim 7, wherein when the network elements in the preset resource area perform concurrent operations, rerouting resources are allocated according to the timeslot bandwidth values corresponding to the network elements, and the specific method includes:
in the preset resource area, the rerouting intelligent service port is refined into a corresponding modeling granularity according to the time slot bandwidth value of each network element, and each network element concurrently processes the rerouting intelligent service.
9. The method as claimed in claim 1, wherein the slot bandwidth value in the resource area or the network element score in the resource area is calculated periodically or manually.
10. An apparatus for adjusting domain-divided resources in a communication network, the apparatus comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being configured by the processor to perform the method of domain-wide resource adjustment in a communication network according to any of claims 1 to 9.
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| CN110519798B (en) * | 2019-07-05 | 2021-03-02 | 广东电网有限责任公司 | Method for distributing resources and calculating profits of optical fiber wireless converged network |
| WO2021159314A1 (en) * | 2020-02-12 | 2021-08-19 | 华为技术有限公司 | Service processing method, device and system |
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| WO2015184849A1 (en) * | 2014-10-22 | 2015-12-10 | 中兴通讯股份有限公司 | Method and device for configuring reserved bandwidth for service port |
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