CN114363737B - Optical transmission network resource optimal configuration method, system and storage medium thereof - Google Patents
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Abstract
The invention discloses an optimal allocation method and system of optical transmission network resources and a storage medium thereof, wherein the optimal allocation method of the optical transmission network resources comprises the following steps: step 1, constructing a system model of an optical transmission network; step 2, selecting a preset link as an alternative link set L of the resource based on a business balance principle; step 3, adding service balance coefficients to the alternative link set L; step 4, adding a link cost coefficient to the alternative link set L based on the link cost; and step 5, dynamically configuring a load path based on the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resource. The invention fully utilizes the idea of service balance under the scene of link communication quality degradation or link failure caused by uneven distribution of link resources, and comprehensively considers the path cost of the link to dynamically configure the load path, thereby improving the communication service quality and service reliability of the optical transmission network and reducing the comprehensive bearing cost of the network.
Description
Technical Field
The invention relates to the technical field of power system communication, in particular to an optical transmission network resource optimal configuration method, an optical transmission network resource optimal configuration system and a storage medium thereof, wherein the optical transmission network resource optimal configuration method and the storage medium consider service balance and link cost.
Background
As a second entity network coexisting with the power grid, the power communication network carries important services such as power production, dispatching, marketing, management and the like, and is an essential strategic, basic and pilot resource for the construction of the energy internet of the national power grid company. With the continuous development of power communication networks, higher requirements are put on the stability, availability, flexibility and intelligentization level of the power communication system, and the existing power communication networks have encountered functional or performance bottlenecks. The electric power optical communication network provides communication channel basic service for units such as power supply offices, all levels of substations, power plants and the like, and service objects mainly comprise electric power dispatching, production, marketing and administrative office work. The existing electric power optical communication network takes SDH/MSTP as a main technical system, a part of areas are networked by adopting WDM/OTN technology, the electric power system network and the provincial and regional level networking mainly adopt 2.5/10G SDH or OTN+SDH to construct a backbone optical transmission network, and the capacities of an access layer and a convergence layer are 155Mb/s-622Mb/s. The networking mode mostly adopts a common SDH ring network mode, and the dispatching of the inter-ring service is basically realized through the branch switching of equipment among large nodes. The bearing service types comprise EMS power grid dispatching automation systems, transformer substation automation systems, relay protection and safety automatic device information, transformer substation video monitoring, dispatching telephone, conference televisions, management information systems, administrative telephones, office automation and the like.
With the rapid development of artificial intelligence, cloud computing, mobile communication, high-definition video and other technologies. Under the high-speed growing business application, the mutual superposition of different network resources creates various network operation environments, and the network resource management and the network cost control become continuously complex. Along with the rapid increase of broadband network flow, the increase of capacity expansion cost and the increasing of complexity of the power communication network bring great challenges to the operation and maintenance of the power communication network, and the method has important significance for carrying out more flexible bearing on power business by carrying out resource joint scheduling, improving flow control capability and providing more intelligent pipeline service.
Disclosure of Invention
Aiming at the problems, the optimal configuration method for the optical transmission network resources, which is provided by the invention and takes the service balance and the link cost into consideration, can fully utilize the idea of service balance under the scene of link communication quality reduction or link failure caused by uneven distribution of link resources, and comprehensively takes the path cost of the link into consideration to dynamically configure the load path, thereby improving the communication service quality and the service reliability of the optical transmission network.
In order to achieve the above object, the present invention is realized by the following technical scheme:
the invention relates to a resource optimization configuration method of an optical transmission network, which comprises the following steps:
step 1, constructing a system model of an optical transmission network;
step 2, selecting a preset link as an alternative link set L of the resource based on a business balance principle;
step 3, adding service balance coefficients to the alternative link set L;
step 4, adding a link cost coefficient to the alternative link set L based on the link cost;
and step 5, dynamically configuring a load path based on the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resource.
The specific method of the step 2 is as follows: based on the service balancing principle, selecting the preset number of links closest to the topological service balancing scene as an alternative link set L of resource configuration within the limit range of the link flow.
The model for balanced distribution of the above traffic over the link is as follows:
s.t.ΔP l ＝P new +P l -P avg
wherein Pnew is newly added load traffic, pl is original traffic of a certain link l between nodes i and j, pavg is traffic of the whole system distributed to each link in an ideal state according to an equal distribution principle after Pnew is added, pl max And (3) limiting the maximum allowable traffic of the link l, wherein E is a total link set, deltaPl is the newly added load traffic plus the difference between the original traffic on the link l and the ideal traffic according to the average division principle, and the link l corresponding to the minimum DeltaPl is the optimal link distribution result of the service.
The selecting step of the alternative link set L is as follows:
step 2.1, solving an optimal link l in all links;
step 2.2, optimally solving all the remaining links except l in the total link set E until k links are selected;
step 2.3, constructing an alternative link set l= { l|l=l 1 ,l 2 ,…l k }。
In step 3, the alternative link set L is ordered according to the number of times as follows: link l b1 -l bk The additional equalization coefficient isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k.
In step 4, the cost of the links in the alternative link set L is calculated respectively, and the links are ranked as follows: l (L) c1 -l ck The additional link cost factor isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k.
And (3) adding the service balance coefficient of the same link in the step (3) and the step (4) with the link cost coefficient, sequencing, selecting the link with the highest addition coefficient, and distributing new service to the link to realize the optimal configuration of the optical transmission network resource.
An optical transmission network resource optimizing configuration system includes
The system model building module is used for building a system model of the optical transmission network;
the alternative link set determining module is used for selecting a preset link as an alternative link set L of the resource based on a business balance principle;
the service balance coefficient determining module is used for adding a service balance coefficient to the alternative link set L;
a link cost coefficient determining module, configured to append a link cost coefficient to the candidate link set L based on the link cost;
and the dynamic configuration module is used for dynamically configuring the load path based on the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resource.
The alternative link set determining module is specifically configured to select, based on a service balancing principle, a preset number of links closest to a topology service balancing scene within a link flow limit range as an alternative link set L of resource configuration;
the model for balanced distribution of the service on the link is as follows:
s.t.ΔP l ＝P new +P l -P avg
wherein Pnew is newly added load traffic, pl is original traffic of a certain link l between nodes i and j, pavg is traffic of the whole system distributed to each link in an ideal state according to an equal distribution principle after Pnew is added, pl max For limiting the maximum allowable traffic of the link l, E is a total link set, deltaPl is the newly added load traffic plus the difference between the original traffic on the link l and the ideal traffic according to the equipartition principle, and the link corresponding to the minimum DeltaPl is the optimal link distribution result of the service;
the selection step of the alternative link set L is as follows:
step 2.1, solving an optimal link l in all links;
step 2.2, optimally solving all the remaining links except l in the total link set E until k links are selected;
step 2.3, constructing an alternative link set l= { l|l=l 1 ,l 2 ,…l k }；
Ordering the alternative link set L according to the number of times is as follows: link l b1 -l bk The additional equalization coefficient is
And respectively calculating the cost of the links in the alternative link set L, and sequencing the links as follows: l (L) c1 -
l ck The additional link cost factor isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k;
and adding and sequencing the service balance coefficients of the same link and the cost coefficients of the links, selecting the link with the highest addition coefficient, and distributing new service to the link to realize the optimal configuration of the optical transmission network resources.
A computer storage medium storing a program for optimizing configuration of optical transmission network resources, which when executed by at least one processor implements the steps of the method for optimizing configuration of optical transmission network resources.
The beneficial effects of the invention are as follows:
1. and the two factors of service balance and link cost are comprehensively considered, so that the reliability and economy of resource allocation are realized.
2. Dynamic configuration of the load path can be performed in a scenario where link resource allocation non-uniformity causes link communication quality degradation or link failure.
3. And constructing an alternative link set for service balance, and setting service balance coefficients and link cost coefficients, wherein the number of links in the alternative link set, the service balance coefficients and the link cost coefficients can be manually defined and modified to adapt to different scene requirements of an optical transmission network in the power system.
Drawings
Fig. 1 is a link comprising six nodes.
FIG. 2 is a link diagram containing ABC three paths.
Fig. 3 is a flowchart of an optical transport network resource optimization configuration method.
Detailed Description
Embodiments of the invention are disclosed in the drawings, and for purposes of explanation, numerous practical details are set forth in the following description. However, it should be understood that these practical details are not to be taken as limiting the invention. That is, in some embodiments of the invention, these practical details are unnecessary.
Referring to fig. 3, the invention relates to an optical transmission network resource optimization configuration method considering service balance and link cost, which comprises the following steps:
step 1, constructing a system model of an optical transmission network; it is meant here that the virtual logical topology as shown in fig. 1 is constructed based on the actual optical transmission network, i.e. all nodes are replaced by numbers in a unified way irrespective of the actual geographical location, name, size of the nodes, and taking into account the length of the transmission links between the nodes, maximum capacity limitations.
Simplifying the optical fiber network in a certain area to form a graph G= (V, E), wherein V is a set of network nodes, E is a set of bidirectional links among the nodes, and L is used ij Representing the flow restriction between nodes i and j.
As shown in fig. 1: the figure contains 1-6 six nodes, <1,2> <1,3> <1,5> <2,6> <3,4> <4,5> <5,6> seven paths, each path having a pair of bi-directional links.
Step 2, selecting a certain number of links closest to the topological service balancing scene as an alternative link set of resource allocation in the limit range of the link flow based on the service balancing principle; the service balancing refers to that under the condition of meeting the flow limit of the links, the service is evenly distributed on each link so as to avoid the situation that part of the links are distributed too densely and have higher pressure and part of the links are idle.
In the scenario of transmitting a scheduling command by a power system, a service refers to a scheduling command responding to a load demand. Taking fig. 2 as an example, 1-6 refer to each scheduling node, and the numerical value of each link label refers to the existing load traffic. If the scheduling nodes from 1 to 5 need to transmit a new scheduling information containing the demand response information with the load of 100kW, three paths of ABC are selected. Depending on the existing load traffic, then the optimal path is B (as shown by the dotted line), next C, and finally a.
The model for making the traffic equally distributed over the link is as follows:
s.t.ΔP l ＝P new +P l -P avg
wherein Pnew is newly added load traffic, pl is original traffic of a certain link l between nodes i and j, pavg is traffic (ideal state) distributed to each link by the whole system according to equal distribution principle after Pnew is added, and Plmax is maximum allowed traffic limit of link l. E is the total link set, ΔPl is the newly added load traffic plus the difference between the original traffic on link l and the ideal traffic according to the equipartition principle, which should be the smallest. The l link corresponding to the minimum delta Pl is the optimal link distribution result of the service.
However, considering the link cost and the link distance factor, if the link that satisfies the above-mentioned optimal condition is the optimal solution in practice, if Δpl values corresponding to the two links are the same or similar, the link cost and the link distance factor need to be considered. Thus, a certain number k (k may be manually specified, typically 1/5 of the total number of links is selected, k=2 may be selected for the total number of links not satisfying 5, and k=3 may be selected as an alternative link set for links having a total number of links greater than 5 and less than or equal to 10). The selection method of the alternative link set comprises the following steps:
the selection steps of the alternative link set are as follows:
step 2.1, solving an optimal link l in all links according to the above method;
step 2.2, optimally solving all the remaining links except l in the total link set E until k links are selected;
step 2.3, constructing an alternative link set l= { l|l=l 1 ,l 2 ,…l k }。
Step 3, adding service balance coefficients to the alternative link set L;
the additional equalization coefficients are shown in table 1:
left Bian WeiqiuSolved order-ordered links b The subscript indicates ordering.
Table 1 additional equalization coefficients
| Link | Equalizing coefficient |
| l b1 | 1 |
| l b2 | (k-1)/k |
| … | … |
| l b(k-1) | 2/k |
| l bk | 1/k |
And step 4, on the basis of the service balance, different costs of different bandwidths of the optical fiber network are also required to be considered.
The costs for different bandwidths of the optical fiber network are shown in table 2:
table 2 costs for different bandwidths of optical fiber network
| Link bandwidth | Cost value |
| 4Mb/s | 250 |
| 10Mb/s | 100 |
| 16Mb/s | 62 |
| 100Mb/s | 19 |
| 1Gb/s | 4 |
| 10Gb/s | 2 |
Thus for link l in the set of alternative links solved in step 3 i Respectively calculating the cost, sequencing the cost and adding the cost coefficients of the links, wherein the cost coefficients of the additional links are shown in table 3;
the left side represents the link cost ordering, and the right side corresponds to the link cost coefficient;
table 3 additional link cost coefficients
| Link cost ordering | Link cost coefficient |
| l c1 | 1 |
| l c2 | (k-1)/k |
| … | … |
| l c(k-1) | 2/k |
| l ck | 1/k |
And 5, dynamically configuring a load path by integrating the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resources.
And adding and sequencing the business balance coefficients of the same link in the two tables and the cost coefficients of the link. The links in tables 1 and 3 are identical, but are ordered by different criteria, one being the criterion for traffic balancing and the other being the criterion for link cost. And selecting a link with the highest addition coefficient, so that new service is distributed to the link, and the optimal configuration of the optical transmission network resources is realized.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (7)
1. An optical transmission network resource optimizing configuration method is characterized in that: the method comprises the following steps:
step 1, constructing a system model of an optical transmission network;
step 2, selecting a preset link as an alternative link set L of the resource based on a business balance principle;
step 3, adding service balance coefficients to the alternative link set L;
step 4, adding a link cost coefficient to the alternative link set L based on the link cost;
step 5, dynamically configuring a load path based on the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resource;
based on a service balancing principle, selecting a preset number of links closest to a topological service balancing scene as an alternative link set L of resource configuration in a link flow limit range;
the model for balanced distribution of the service on the link is as follows:
s.t.ΔP l ＝P new +P l -P avg
P new +P l ≤P l max
wherein Pnew is newly added load traffic, pl is original traffic of a certain link l between nodes i and j, pavg is traffic of the whole system distributed to each link in an ideal state according to an equal distribution principle after Pnew is added, pl max And (3) limiting the maximum allowable traffic of the link l, wherein E is a total link set, deltaPl is the newly added load traffic plus the difference between the original traffic on the link l and the ideal traffic according to the average division principle, and the link l corresponding to the minimum DeltaPl is the optimal link distribution result of the service.
2. The method for optimizing configuration of optical transmission network resources according to claim 1, wherein: the selection step of the alternative link set L is as follows:
step 2.1, solving an optimal link l in all links;
step 2.2, optimally solving all the remaining links except l in the total link set E until k links are selected;
step 2.3, constructing an alternative link set l= { l|l=l 1 ,l 2 ,…l k }。
3. The optical transmission of claim 2The network resource optimizing configuration method is characterized in that: in step 3, the alternative link set L is ordered according to the number of times as follows: link l b1 -l bk The additional equalization coefficient isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k.
4. The method for optimizing configuration of optical transmission network resources according to claim 2, wherein: in step 4, the cost of the links in the alternative link set L is calculated respectively, and the links are ranked as follows: l (L) c1 -l ck The additional link cost factor isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k.
5. The method for optimizing configuration of optical transmission network resources according to claim 1, wherein: and (3) adding the service balance coefficient of the same link in the step (3) and the step (4) with the link cost coefficient, sequencing, selecting the link with the highest addition coefficient, and distributing new service to the link to realize the optimal configuration of the optical transmission network resource.
6. An optical transmission network resource optimal configuration system is characterized in that: comprising
The system model building module is used for building a system model of the optical transmission network;
the alternative link set determining module is used for selecting a preset link as an alternative link set L of the resource based on a business balance principle;
the service balance coefficient determining module is used for adding a service balance coefficient to the alternative link set L;
a link cost coefficient determining module, configured to append a link cost coefficient to the candidate link set L based on the link cost; the dynamic configuration module is used for dynamically configuring a load path based on the service balance coefficient and the link cost coefficient to realize the optimal configuration of the optical transmission network resource;
the alternative link set determining module is specifically configured to select, based on a service balancing principle, a preset number of links closest to a topology service balancing scene within a link flow limit range as an alternative link set L of resource configuration;
the model for balanced distribution of the service on the link is as follows:
s.t.ΔP l ＝P new +P l -P avg
P new +P l ≤P l max
wherein Pnew is newly added load traffic, pl is original traffic of a certain link l between nodes i and j, pavg is traffic of the whole system distributed to each link in an ideal state according to an equal distribution principle after Pnew is added, pl max For limiting the maximum allowable traffic of the link l, E is a total link set, deltaPl is the newly added load traffic plus the difference between the original traffic on the link l and the ideal traffic according to the equipartition principle, and the link corresponding to the minimum DeltaPl is the optimal link distribution result of the service;
the selection step of the alternative link set L is as follows:
step 2.1, solving an optimal link l in all links;
step 2.2, optimally solving all the remaining links except l in the total link set E until k links are selected;
step 2.3, constructing an alternative link set l= { l|l=l 1 ,l 2 ,…l k }；
Ordering the alternative link set L according to the number of times is as follows: link l b1 -l bk The additional equalization coefficient is
And respectively calculating the cost of the links in the alternative link set L, and sequencing the links as follows: l (L) c1 -l ck The additional link cost factor isWherein n is a sequence number, n is more than or equal to 1 and less than or equal to k;
and adding and sequencing the service balance coefficients of the same link and the cost coefficients of the links, selecting the link with the highest addition coefficient, and distributing new service to the link to realize the optimal configuration of the optical transmission network resources.
7. A computer storage medium storing a program for optimizing configuration of optical transmission network resources, which when executed by at least one processor implements the steps of the method for optimizing configuration of optical transmission network resources according to any one of claims 1 to 5.
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