CN108616782B - Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network - Google Patents
Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network Download PDFInfo
- Publication number
- CN108616782B CN108616782B CN201810296202.3A CN201810296202A CN108616782B CN 108616782 B CN108616782 B CN 108616782B CN 201810296202 A CN201810296202 A CN 201810296202A CN 108616782 B CN108616782 B CN 108616782B
- Authority
- CN
- China
- Prior art keywords
- vertex
- connection group
- service
- services
- spectrum allocation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001228 spectrum Methods 0.000 title claims abstract description 63
- 230000003287 optical effect Effects 0.000 title claims abstract description 22
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000005457 optimization Methods 0.000 title claims abstract description 14
- 238000010586 diagram Methods 0.000 abstract description 11
- 230000000903 blocking effect Effects 0.000 abstract description 7
- 238000013467 fragmentation Methods 0.000 description 7
- 238000006062 fragmentation reaction Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 4
- 239000012634 fragment Substances 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000013468 resource allocation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000006798 recombination Effects 0.000 description 1
- 238000005215 recombination Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q11/00—Selecting arrangements for multiplex systems
- H04Q11/0001—Selecting arrangements for multiplex systems using optical switching
- H04Q11/0062—Network aspects
- H04Q2011/0086—Network resource allocation, dimensioning or optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a frequency spectrum allocation method based on disjoint connection group optimization in an elastic optical network, which comprises the following steps: firstly, establishing a connection group diagram according to the bandwidth requirement and the routing length occupied by each arrival service; all services are arranged in a descending order according to the size of bandwidth requirements, the services with large bandwidth requirements are preferentially distributed, and if two or more than two services have the same bandwidth requirements, the services with large routing length are preferentially distributed; after the service which is preferentially distributed is determined, the service is placed into a non-intersecting connection group, and a first arrival matching strategy is adopted to distribute the frequency spectrum, and other services with intersecting links are placed into an intersecting connection group, and a last arrival matching strategy is adopted to distribute the frequency spectrum. The invention has the advantages of high network link utilization rate and low service blocking rate.
Description
Technical Field
The invention relates to an elastic optical network, and belongs to the technical field of spectrum resource allocation, in particular to a spectrum allocation method based on disjoint connection group optimization in an elastic optical network.
Background
The traditional Wavelength Division Multiplexing (WDM) network adopts a fixed grid spectrum allocation mode, and the coarse spectrum granularity of the traditional WDM network causes low utilization rate and poor flexibility of the optical network spectrum. In order to reduce the waste of Frequency spectrum resources, an Optical Orthogonal Frequency Division Multiplexing (O-OFDM) technology is introduced into an Elastic Optical Network (EON), so that a traditional WDM wavelength channel is supported to be converted into a Frequency Slot (FS) with smaller Frequency spectrum granularity for resource allocation, and meanwhile, the corresponding Frequency Slot can be allocated or combined according to service requirements, thereby improving the utilization rate of Network resources and transmission efficiency.
In the elastic optical network, an end-to-end route needs to be established for each newly arrived service and enough continuous Spectrum resources, namely, Route and Spectrum Allocation (RSA) needs to be allocated on each link. Spectrum allocation needs to meet spectrum consistency and continuity constraints: the spectrum consistency constraint means that each service must occupy the same frequency slot on all links passed by the route; the spectral continuity constraint means that the frequency slots occupied by each traffic on each link must be continuous and gapless. In the dynamic establishment and removal process of a network connection, a situation that remaining available frequency slots on a single link are discontinuous or adjacent idle frequency spectrums are inconsistent occurs, which is called a Spectrum Fragmentation (SF) problem, and problems such as a reduction in network resource utilization rate and an increase in service request blocking rate may be caused.
For spectrum allocation and fragmentation problems in the elastic optical network, some spectrum fragmentation reconstruction strategies are proposed by the academia, but a fragmentation reconstruction mechanism may interrupt service transmission, thereby reducing service transmission efficiency. Aiming at the defect, SeydouBa and the like propose a defragmentation strategy for Exchanging the services transmitted on the working Path and the Backup Path in 1+1, exchange the services transmitted on the working Path with the Backup Path, and defragment the services on the Backup Path, thereby ensuring uninterrupted transmission of data on the working Path, and the defect is that a defragmentation mechanism can be triggered under specific conditions, and has certain limitation for improving the utilization rate of spectrum resources [ Seydou Ba, Bijoy channel and Chatterjee, Eiji Oki. Xin Chen et al propose a route spectrum allocation strategy based on fragment sensing, determine system resource capacity by combining bandwidth allocation and service request size, adopt a spectrum allocation scheme with the lowest Fragmentation degree, have the advantages of low network blocking rate and the disadvantage of not considering the relation between spectrum allocation and service request rate [ X.Chen, J.Li, P.Zhu, R.Tang, Z.Chen and Y.He, Fragmentation-aware and allocation scheme based on distribution of traffic bandwidth in electronic networks.in IEEE/OSA Journal of Optical communication and network, Nov.1,2015,11(7): 1064-. Liu et al propose a defragmentation spectrum allocation strategy based on spectrum partitioning, define a dedicated region by request type and service strength, adopt First Fit allocation if there is an available frequency slot, otherwise search for the lowest conflict region and adopt Last Fit allocation, and finally start a recombination mechanism to dynamically calculate a dedicated spectrum block. Its advantages are high utilization rate of Spectrum, considering distribution result at different request rate, and high calculation complexity (H.L.Liu, L.Lv, Y.Chen and C.Wei.fragmentation-associating Spectrum Assignment Strategy Based on electronic Optical networks in IEEE semiconductors Journal, Oct.2017,5(9): 1-13.) as the number of partitions increases.
Disclosure of Invention
The invention aims to provide a frequency spectrum allocation method based on disjoint connection group optimization in an elastic optical network, which can improve the utilization rate of network links and reduce the service blocking rate.
In order to achieve the purpose, the invention adopts the following technical scheme: the frequency spectrum allocation method based on the disjoint connection group optimization in the elastic optical network comprises the following steps:
step (1): defining the service reached by each request as a connection group and marking the connection group as a vertex, generating a vertex parameter according to the bandwidth requirement and the routing length of each service, and storing the vertex into a vertex set until all the services reached by the requests are marked;
step (2): if an intersecting link exists between the two services, establishing an edge between vertexes corresponding to the two services, and storing the edge into an edge set until all the intersecting links are traversed;
and (3): generating a connection group graph according to the vertex set obtained in the step (1) and the edge set obtained in the step (2);
and (4): arranging all the top points which are not grouped in a descending order according to the size of the bandwidth demand, and executing the step (5) when the top point with the maximum bandwidth demand has two or more than two; when only one vertex with the maximum bandwidth requirement exists, selecting the vertex with the maximum bandwidth requirement as a mark vertex, and executing the step (6);
and (5): arranging vertexes with the same bandwidth requirement in a descending order according to the routing length, and selecting a vertex with the largest routing length as a mark vertex;
and (6): putting the service corresponding to the marked vertex into a non-intersecting connection group, adopting a first arrival matching strategy to carry out spectrum allocation, then putting the service corresponding to other vertexes adjacent to the marked vertex into the intersecting connection group, and adopting a last arrival matching strategy to carry out spectrum allocation;
and (7): and (4) if the residual non-grouped vertexes exist, executing the step (4) until the spectrum allocation of all services is completed.
Further, in the foregoing spectrum allocation method based on disjoint connection group optimization in an elastic optical network, the method includes: in step (1), the service request arrival rates are subject to poisson distribution with mean λ, and the service duration time is subject to negative exponential distribution with mean μ.
Through the implementation of the technical scheme, the invention has the beneficial effects that: based on the relation between fragments and service request characteristics, a network service topological graph is converted into a constructed attached graph, the link condition between services can be clearly reflected, the network blocking rate can be effectively reduced by preferentially distributing services with high bandwidth requirement and large routing length, and the spectrum inconsistency of different links can be avoided as far as possible by dividing the spectrum distribution strategies of a non-intersected connection group and an intersected connection group, so that the fragmentation degree in the network is reduced.
Drawings
Fig. 1 is a schematic diagram of a spectrum allocation result obtained after the First policy described in the background art is adopted.
Fig. 2 is a flowchart of a spectrum allocation method based on disjoint connection group optimization in an elastic optical network according to the present invention.
Fig. 3 is a schematic structural diagram of a network topology according to the present invention.
FIG. 4 is a schematic structural diagram of a connection group diagram according to the present invention.
Fig. 5 is a schematic diagram of a spectrum allocation result obtained by using the spectrum allocation method based on disjoint connection group optimization in the elastic optical network according to the present invention.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
As shown in fig. 2, the method for allocating frequency spectrums based on disjoint connection group optimization in a resilient optical network includes the following steps:
step (1): service C to which each request arrivesiDefined as a connected set and marked as a vertex viAnd generating a vertex parameter w from the bandwidth requirement of each trafficiGenerating a vertex parameter r from the route length of each trafficiLet vertex vi(wi，ri) Storing the vertex set { V } until all the services which are requested to arrive are marked; namely: marking all service requests C1，C2，……C12Is a vertex v1，v2，……，v12The vertex parameters (w) are generated separately from the bandwidth requirement and route length of each request1,r1),(w2,r2)，……，(w12,r12) Wherein, N service requests arrive, the arrival rates of the service requests obey Poisson distribution with the mean value of lambda, and the service duration obeys negative exponential distribution with the mean value of mu;
referring to fig. 3, a network topology diagram of 6 nodes and 8 links is assumed that 12 services arrive within a time window, and the source-destination node routing and bandwidth requirements corresponding to each service are shown in table 1:
table 1 traffic routing information
| Business | Source node | Destination node | Routing path | Seizing a link | Route length | Bandwidth requirement | |||
| C1 | | B | A-F-B | 2,3 | 2 | 2 | |||
| C2 | F | C | F-B-C | 3,4 | 2 | 1 | |||
| C3 | | E | B-C-E | 4,5 | 2 | 3 | |||
| C4 | | E | C-E | 5 | 1 | 3 | |||
| C5 | | F | B-A-F | 1,2 | 2 | 1 | |||
| C6 | F | B | F-B | 3 | 1 | 2 | |||
| C7 | | D | B-C-D | 4,6 | 2 | 1 | |||
| C8 | | C | B-C | 4 | 1 | 1 | |||
| C9 | | E | C-D-E | 6,7 | 2 | 1 | |||
| C10 | | F | C-D-E-F | 6,7,8 | 3 | 1 | |||
| C11 | | E | D-E | 7 | 1 | 1 | |||
| C12 | | B | A-B | 1 | 1 | 4 |
Step (2): if two services CiAnd CjThere is an intersecting link between them, then the vertex v corresponding to two servicesiAnd vjBetween them establishes a side eijAnd the edge e is connectedijStoring the edge set { E } until all the intersected links are traversed;
and (3): generating a connection group diagram according to the vertex set { V } obtained in the step (1) and the edge set { E } obtained in the step (2); as shown in fig. 4, with service C2For example, Table 1 shows C2Is the service with the bandwidth requirement of 1 and the routing length of 2, and the vertex parameter generated by the serviceIs v is2(1, 2); additional service C2The service passing through the link 3 and the link 4 and also passing through the two links has C1、C3、C6、C7And C8Then vertex v2And v1、v3、v6、v7And v8Respectively establishing connection, and traversing all services and intersecting links to generate a connection group diagram;
and (4): all non-grouped vertexes are according to the bandwidth requirement wiArranging the sizes in a descending order, and executing the step (5) when two or more vertexes with the largest bandwidth requirements exist; when the peak with the largest bandwidth requirement is only one, selecting the bandwidth requirement wiThe largest vertex is taken as the labeled vertex v0Executing the step (6);
and (5): will bandwidth demand wiThe same vertex is routed by length riArranged in descending order, selecting the routing length riThe largest vertex is taken as the labeled vertex v0；
And (6): will mark the vertex v0Putting the corresponding service into a non-intersecting connection group, adopting a first arrival matching strategy (FirstFit strategy) to carry out spectrum allocation, and then marking a vertex v0Putting the services corresponding to other adjacent vertexes into an intersecting connection group, and performing spectrum allocation by adopting a last arrival matching strategy (LastFit strategy);
and (7): and (4) if the residual non-grouped vertexes exist, executing the step (4) until the spectrum allocation of all services is completed.
As shown in FIG. 3, all vertices are based on the bandwidth requirement wiIn descending order, with the largest being w12When the vertex v is equal to 4, the vertex v is set12Put into disjoint connection groups, corresponding service C12Adopting a First spectrum allocation algorithm; in addition, with v12Adjacent vertex v5Put into an intersecting connection group, corresponding service C5Adopting a Last Fit spectrum allocation algorithm; in the remaining ungrouped vertices, the bandwidth requirement wiThe largest vertex has v3And v4By the routing length riDescending order, select v3Putting in a phase as a mark vertexSet of intersections, v adjacent to the vertex2、v4、v7And v8Putting the service into an intersecting connection group, and sequentially distributing corresponding services based on a Last Fit spectrum distribution algorithm; selecting w among the remaining ungrouped verticesiAnd r isiMaximum vertex v1V placed adjacent to disjoint sets of connections6Putting the service into an intersecting connection group, and then distributing the corresponding service to the frequency slot of the corresponding link; the remaining three vertices wiIs equal according to riSorting in descending order v10Putting in a disjoint connection group, allocating corresponding services, after putting all vertices adjacent to the vertex in the intersected connection group, all vertices have traversed, table 2 is the final vertex grouping situation, the service spectrum allocation situation optimized by the spectrum allocation method of the present invention is shown in fig. 5, and it can be known that the spectrum allocation result diagram (as shown in fig. 5) obtained by adopting the spectrum allocation method based on disjoint connection group optimization in an elastic optical network of the present invention in fig. 5 is compared with the spectrum allocation result diagram (as shown in fig. 1) obtained by adopting the FirstFit policy in the background art, and the spectrum allocation method based on disjoint connection group optimization in the elastic optical network of the present invention has a higher network link utilization rate and a lower service blocking rate than the network link utilization rate of the spectrum allocation method in the background art.
TABLE 2 disjoint connection set and Cross connection set establishment
| |
|
|
|
|
| Disjoint sets of connections | v12 | v3 | v1 | v10 |
| Crossing connection group | v5 | v2 v4 v7 v8 | v6 | v9 v11 |
Through the implementation of the technical scheme, the invention has the advantages that: based on the relation between fragments and service request characteristics, a network service topological graph is converted into a constructed attached graph, the link condition between services can be clearly reflected, the network blocking rate can be effectively reduced by preferentially distributing services with high bandwidth requirement and large routing length, and the spectrum inconsistency of different links can be avoided as far as possible by dividing the spectrum distribution strategies of a non-intersected connection group and an intersected connection group, so that the fragmentation degree in the network is reduced.
Claims (2)
1. A frequency spectrum allocation method based on disjoint connection group optimization in an elastic optical network is characterized in that: the method comprises the following steps:
step (1): defining the service reached by each request as a connection group and marking the connection group as a vertex, generating a vertex parameter according to the bandwidth requirement and the routing length of each service, and storing the vertex into a vertex set until all the services reached by the requests are marked;
step (2): if an intersecting link exists between the two services, establishing an edge between vertexes corresponding to the two services, and storing the edge into an edge set until all the intersecting links are traversed;
and (3): generating a connection group graph according to the vertex set obtained in the step (1) and the edge set obtained in the step (2);
and (4): arranging all the top points which are not grouped in a descending order according to the size of the bandwidth demand, and executing the step (5) when the top point with the maximum bandwidth demand has two or more than two; when only one vertex with the maximum bandwidth requirement exists, selecting the vertex with the maximum bandwidth requirement as a mark vertex, and executing the step (6);
and (5): arranging vertexes with the same bandwidth requirement in a descending order according to the routing length, and selecting a vertex with the largest routing length as a mark vertex;
and (6): putting the service corresponding to the marked vertex into a non-intersecting connection group, adopting a first arrival matching strategy to carry out spectrum allocation, then putting the service corresponding to other vertexes adjacent to the marked vertex into the intersecting connection group, and adopting a last arrival matching strategy to carry out spectrum allocation;
and (7): and (4) if the residual non-grouped vertexes exist, executing the step (4) until the spectrum allocation of all services is completed.
2. The method according to claim 1, wherein the spectrum allocation method in the elastic optical network based on disjoint connection group optimization is characterized in that: in step (1), the service request arrival rates are subject to poisson distribution with mean λ, and the service duration time is subject to negative exponential distribution with mean μ.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810296202.3A CN108616782B (en) | 2018-04-03 | 2018-04-03 | Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810296202.3A CN108616782B (en) | 2018-04-03 | 2018-04-03 | Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108616782A CN108616782A (en) | 2018-10-02 |
| CN108616782B true CN108616782B (en) | 2021-03-02 |
Family
ID=63659669
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810296202.3A Active CN108616782B (en) | 2018-04-03 | 2018-04-03 | Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108616782B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111615022B (en) * | 2020-05-20 | 2022-04-19 | 重庆邮电大学 | Conflict resolution method for all-optical nodes of space division multiplexing elastic optical network |
| CN112968741B (en) * | 2021-02-01 | 2022-05-24 | 中国民航大学 | Adaptive broadband compressed spectrum sensing algorithm based on least square vector machine |
| CN113965837B (en) * | 2021-12-21 | 2022-02-25 | 华南师范大学 | Optical network dynamic spectrum partitioning method, device, storage medium and computer equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102523068A (en) * | 2011-12-07 | 2012-06-27 | 北京邮电大学 | Frequency spectrum resource distribution method in elastic optical network and system thereof |
| WO2013045521A1 (en) * | 2011-09-30 | 2013-04-04 | Telefonica, S.A. | A system and a method to perform spectrum allocation in an optical network |
| WO2013169158A1 (en) * | 2012-05-10 | 2013-11-14 | Telefonaktiebolaget L M Ericsson (Publ) | Node and method for iterative improvement of spectral use |
| CN106953710A (en) * | 2017-03-15 | 2017-07-14 | 重庆邮电大学 | What the distribution of minimum cost frequency spectrum and fragment were perceived in elastic optical network reconfigures routing mechanism |
| CN106961641A (en) * | 2017-02-24 | 2017-07-18 | 南京邮电大学 | A kind of frequency spectrum distributing method perceived in elastic optical network based on service priority |
| CN107360478A (en) * | 2017-07-10 | 2017-11-17 | 中国科学院计算技术研究所 | Route Selection and frequency spectrum distributing method in elastic optical network |
-
2018
- 2018-04-03 CN CN201810296202.3A patent/CN108616782B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013045521A1 (en) * | 2011-09-30 | 2013-04-04 | Telefonica, S.A. | A system and a method to perform spectrum allocation in an optical network |
| CN102523068A (en) * | 2011-12-07 | 2012-06-27 | 北京邮电大学 | Frequency spectrum resource distribution method in elastic optical network and system thereof |
| WO2013169158A1 (en) * | 2012-05-10 | 2013-11-14 | Telefonaktiebolaget L M Ericsson (Publ) | Node and method for iterative improvement of spectral use |
| CN106961641A (en) * | 2017-02-24 | 2017-07-18 | 南京邮电大学 | A kind of frequency spectrum distributing method perceived in elastic optical network based on service priority |
| CN106953710A (en) * | 2017-03-15 | 2017-07-14 | 重庆邮电大学 | What the distribution of minimum cost frequency spectrum and fragment were perceived in elastic optical network reconfigures routing mechanism |
| CN107360478A (en) * | 2017-07-10 | 2017-11-17 | 中国科学院计算技术研究所 | Route Selection and frequency spectrum distributing method in elastic optical network |
Non-Patent Citations (1)
| Title |
|---|
| 《面向弹性光网络中路由和频谱分配问题的算法研究》;黄天天;《 中国优秀硕士学位论文全文数据库 信息科技辑》;20150915;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108616782A (en) | 2018-10-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lu et al. | Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks | |
| CN108616782B (en) | Frequency spectrum allocation method based on disjoint connection group optimization in elastic optical network | |
| CN106953710B (en) | The method for routing of the distribution of minimum cost frequency spectrum and fragment perception in elastic optical network | |
| CN105827528B (en) | A kind of route selection method suitable for the flexible optical-fiber network of frequency spectrum | |
| WO2013037570A1 (en) | Allocation of spectral capacity in a wavelength-division multiplexing optical network | |
| Shakya et al. | Spectral defragmentation in elastic optical path networks using independent sets | |
| CN107135056B (en) | Anycast service resource allocation method for reducing frequency spectrum fragments and time delay | |
| CN101127689B (en) | Method for minimizing priority seizing cost | |
| CN113784373A (en) | Combined optimization method and system for time delay and frequency spectrum occupation in cloud edge cooperative network | |
| CN113742046A (en) | Flow grooming cloud-side computing network computing resource balanced scheduling method and system | |
| CN104836751A (en) | Spectrum sensing-based single-path service partitioning-merging optical network frequency allocation method | |
| CN105245307A (en) | Method of determining communication path in communication network and equipment | |
| CN113489617B (en) | Minimum network energy consumption optimization method and system based on traffic grooming | |
| CN107360478A (en) | Route Selection and frequency spectrum distributing method in elastic optical network | |
| CN111010627B (en) | Route distribution method and device applied to mixed grid optical network | |
| CN115460088A (en) | 5G power multi-service slice resource allocation and isolation method | |
| CN101212289B (en) | Time slot assignment method and network communication device | |
| CN112995805B (en) | Routing and spectrum allocation method based on path idleness in EON | |
| CN106961641A (en) | A kind of frequency spectrum distributing method perceived in elastic optical network based on service priority | |
| CN106506362A (en) | A kind of elastic optical network multilink fault probability guard method of minimum failure risk loss | |
| KR20150080183A (en) | Method and Apparatus for dynamic traffic engineering in Data Center Network | |
| CN112911429A (en) | Routing frequency spectrum allocation method and device based on dynamic elastic optical network | |
| CN108174446B (en) | Network node link resource joint distribution method with minimized resource occupancy | |
| CN104506442A (en) | Multipoint-to-multipoint multicast business optical grooming method for flexible grid optical network | |
| Lan et al. | A fragmentation-aware load-balanced RMSCA algorithm in space-division multiplexing elastic optical networks |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20181002 Assignee: NANJING NANYOU INSTITUTE OF INFORMATION TECHNOVATION Co.,Ltd. Assignor: NANJING University OF POSTS AND TELECOMMUNICATIONS Contract record no.: X2021980014141 Denomination of invention: A spectrum allocation method based on disjoint connection group optimization in elastic optical networks Granted publication date: 20210302 License type: Common License Record date: 20211206 |
|
| EC01 | Cancellation of recordation of patent licensing contract | ||
| EC01 | Cancellation of recordation of patent licensing contract |
Assignee: NANJING NANYOU INSTITUTE OF INFORMATION TECHNOVATION Co.,Ltd. Assignor: NANJING University OF POSTS AND TELECOMMUNICATIONS Contract record no.: X2021980014141 Date of cancellation: 20231107 |