CN111385680A - Spectrum allocation method based on mixed spectrum conversion resource pool in elastic optical network - Google Patents
Spectrum allocation method based on mixed spectrum conversion resource pool in elastic optical network Download PDFInfo
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Abstract
The invention discloses a spectrum allocation method based on a mixed spectrum conversion resource pool in an elastic optical network, belonging to the technical field of communication networks. Aiming at the problems of distribution and optimization of spectrum resources in an elastic optical network, the method provides a spectrum distribution method based on a mixed spectrum conversion resource pool of a full-range spectrum converter and a limited-range spectrum converter, and distributes spectrum and establishes connection for a service request. The method comprises the steps of firstly calculating the longest continuous spectrum section set on a service route in sequence, then preferentially adopting a limited-range spectrum converter to relax spectrum continuity constraint and calculating to obtain all feasible optical paths according to the spectrum conversion relation in the adjacent spectrum section set, and finally determining a unique optical path according to the low-frequency continuous spectrum section priority principle and allocating corresponding spectrum and spectrum converters. The invention can effectively reduce the use of the full-range spectrum converter in the network on the basis of maintaining lower service blocking rate, thereby reducing the configuration cost of network hardware resources.
Description
Technical Field
The invention belongs to the technical field of communication networks. In particular to a spectrum allocation method based on a mixed spectrum conversion resource pool in an elastic optical network.
Background
With the continuous development of internet technology and the continuous emergence of emerging network applications, the traffic flow in the communication network shows explosive growth, which presents a huge challenge to the transmission capacity and hardware resource allocation in the backbone optical network. Compared with the traditional WDM optical network, the elastic optical network based on the Orthogonal Frequency Division Multiplexing (OFDM) technology has more efficient spectrum resource utilization rate due to the dense carrier frequency gap, the elastic bandwidth granularity and the flexible modulation mode, thereby having great application prospect.
However, in resilient optical networks, due to the inherent constraints of spectrum continuity and adjacency, dynamic establishment and teardown of traffic connections may generate a large amount of spectrum fragmentation, resulting in an increase in traffic blocking rates. Therefore, a certain number of optical signal spectrum converters are configured in the elastic optical network node, so that the spectrum continuity constraint can be effectively relaxed, and the utilization rate of spectrum resources is improved.
Optical signal spectrum converters are mainly classified into two broad categories, full-range spectrum converters (FRSCs) and limited-range spectrum converters (LRSCs). The full-range spectrum converter can convert the input optical signal spectrum to any other available spectrum in the optical fiber spectrum range for output, and the limited-range spectrum converter can only convert the input optical signal spectrum to the adjacent available spectrum in a certain range for output. The limited-range spectrum converter has a smaller spectrum conversion range but is less expensive than the full-range spectrum converter. At present, an all-optical network spectrum allocation method based on a spectrum converter mainly adopts a network node configuration scheme of a pure full-range spectrum converter or a pure limited-range spectrum converter, the dependence of the pure full-range spectrum converter on the full-range spectrum converter is too high, the cost of network hardware resources is difficult to control effectively, and the network node spectrum allocation flexibility is reduced, so that a high service blocking rate is easily caused. In contrast, the node configuration scheme adopting the full-range and limited-range mixed spectrum conversion resource pool is more beneficial to reducing the cost of the hardware resources of the network and improving the utilization rate of the spectrum resources.
Aiming at the problems of distribution and optimization of spectrum resources in the elastic optical network, a spectrum distribution method based on a mixed spectrum conversion resource pool of a full-range spectrum converter and a limited-range spectrum converter is provided, and spectrum is distributed and connection is established for a service request. The method comprises the steps of firstly calculating the longest continuous spectrum section set on a service route in sequence, then preferentially adopting a limited-range spectrum converter to relax spectrum continuity constraint and calculating to obtain all feasible optical paths according to the spectrum conversion relation in the adjacent spectrum section set, and finally determining a unique optical path according to the low-frequency continuous spectrum section priority principle and allocating corresponding spectrum and spectrum converters. The invention can effectively reduce the use of the full-range spectrum converter in the network on the basis of maintaining lower service blocking rate, thereby reducing the configuration cost of network hardware resources.
Disclosure of Invention
The present invention is directed to solving the problems of the prior art. A spectrum allocation method is provided which maintains a low traffic blocking rate and is advantageous for reducing the cost of network hardware resources. The technical scheme of the invention is as follows:
a spectrum allocation method based on a mixed spectrum conversion resource pool in an elastic optical network is provided, an elastic optical network model is G (V, L), wherein V is a node set in the network, L is a bidirectional link set in the network, each node is provided with a certain number of limited-range spectrum converters and full-range spectrum converters, and the spectrum allocation method on a service route comprises the following steps:
step 2, making I equal to I +1, if I is less than I, skipping to step 3, otherwise, skipping to step 5;
step 3, if there is Fi,j(∈Si) And Fi+1,k(∈Si+1) Meets the limited range spectrum conversion condition and has an intermediate node vi,i+1A limited range spectrum converter with a free space in it, will be (F)i,j,Fi+1,k) Adding to the set of conversion relationships C, and deleting SiAnd Si+1Skipping to the step 2 for all the spectrum sections which do not meet the conversion condition, or else skipping to the step 4;
step 4, if the intermediate node vi,i+1With a free full-range spectrum converter in it, all (F)i,j,Fi+1,k) Adding the conversion relation set C, skipping to the step 2, otherwise, skipping to the step 6;
step 5, in the conversion relation set C, through
Preferentially selecting a low-frequency continuous spectrum band on a service route to determine a unique optical path, and configuring a corresponding spectrum and a spectrum converter;
and 6, ending.
Further, in the step 1, a longest continuous spectrum segment set S meeting the service bandwidth requirement is establishediThe method comprises the following specific steps:
1) starting from a current node, searching all available spectrum blocks FB meeting the service bandwidth requirement in a full spectrum range and putting the available spectrum blocks FB into a temporary set T;
2) if | T |>0, according to the continuity of the frequency spectrum blocks on the service route, sorting and marking the frequency spectrum blocks in the T as { FB ] according to the sequence from large hop number to small hop numberαWhere α denotes the sequence number of the spectrum block, let DαIs FBαContinuously skipping frequency spectrum on the service route, making α equal to 1, and making j equal to 1 skip to step 4), otherwise, skipping to step 5);
3) let Fi,j＝(FBα,Dα) Will Fi,jPut into set Si；
4) If D isα+1＝DαIf α is α +1, j is j +1, go to step 3), otherwise go to step 5);
5) and (6) ending.
Further, the definition method of the available spectrum block FB in step 1) is shown in formula (1), wherein FSmIndicating a free frequency slot, FS, with index number mm+1Represents FSmR represents the number of frequency slots corresponding to the service required bandwidth.
FB＝{FSm,FSm+1,...,FSm+r-1} (1)
Further, said step 3 judges Fi,j(∈Si) And Fi+1,k(∈Si+1) The condition for satisfying the limited-range spectral conversion is shown in equation (2), where e represents the degree of conversion of the limited-range spectral converter,
and
respectively representing a spectral portion Fi,jAnd Fi+1,kCorresponding spectrum block, m and n are index numbers of frequency slots, and m ∈ [0, MAX]，n∈[0,MAX]And MAX denotes a maximum frequency slot index number.
The invention has the following advantages and beneficial effects:
aiming at the problems of distribution and optimization of spectrum resources in an elastic optical network, the invention provides a spectrum distribution method based on a mixed spectrum conversion resource pool of a full-range spectrum converter and a limited-range spectrum converter, which is used for distributing spectrum and establishing connection for a service request. Compared with the common network node configuration scheme adopting a pure full-range spectrum converter or a pure limited-range spectrum converter at present, the node configuration scheme adopting the full-range and limited-range mixed spectrum conversion resource pool is more beneficial to reducing the hardware resource cost of the network and improving the utilization rate of the spectrum resources. On the basis, the method firstly calculates the longest continuous spectrum section set on a service route in sequence, so that the total consumption of the spectrum converters on the route is minimum; according to the spectrum conversion relation in the adjacent spectrum section set, preferentially adopting a limited range spectrum converter to relax spectrum continuity constraint and calculating to obtain all feasible optical paths, so that the consumption of the full range spectrum converter on the route is minimum; and finally, determining a unique optical path according to a low-frequency continuous spectrum segment priority principle and allocating corresponding spectrum and spectrum converters, so that the probability of generating spectrum fragments on the route is reduced. Through the steps, the invention can effectively reduce the use of the full-range spectrum converter in the network on the basis of maintaining the lower service blocking rate, thereby reducing the configuration cost of network hardware resources.
Drawings
Fig. 1 is a flowchart of spectrum allocation based on a hybrid spectrum conversion resource pool in an elastic optical network according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described in detail and clearly with reference to the accompanying drawings. The described embodiments are only some of the embodiments of the present invention.
The technical scheme for solving the technical problems is as follows:
the concepts and models involved in the present disclosure are as follows:
1. network model
The elastic optical network model is assumed to be G (V, L), where V is a set of nodes in the network and L is a set of bidirectional links in the network, and each node is equipped with a certain number of limited-range spectrum converters and full-range spectrum converters.
2. Description of the symbols relating to the present disclosure:
r: frequency slot number corresponding to service demand bandwidth
Si: the ith longest continuous spectrum segment set
Fi,j: set SiThe jth longest continuous spectrum segment in (b)
C: set of conversion relationships
H: total hop count for traffic routing
FB: available spectrum block to meet traffic bandwidth requirements
FSm: free frequency slot with index number m
T: temporary collections
vi,i+1：Fi,j(∈Si) And Fi+1,k(∈Si+1) Between the switching node
Epsilon: degree of conversion for a limited range spectral converter
The technical scheme of the invention is explained as follows:
1. establishing a set S of longest continuous spectrum segments that satisfy traffic bandwidth requirementsiMethod (2)
Step 1: starting from a current node, searching all available spectrum blocks FB meeting the service bandwidth requirement in a full spectrum range according to a formula (1) and putting the available spectrum blocks FB into a temporary set T;
step 2: if | T |>0, according to the continuity of the frequency spectrum blocks on the service route, sorting and marking the frequency spectrum blocks in the T as { FB ] according to the sequence from large hop number to small hop numberαWhere α denotes the sequence number of the spectrum block, let DαIs FBαContinuously skipping frequency spectrum on the service route, making α equal to 1, and skipping to step 4 when j equal to 1, otherwise, skipping to step 5;
and step 3: let Fi,j＝(FBα,Dα) Will Fi,jPut into set Si；
And 4, step 4: if D isα+1＝DαIf α is α +1, j is j +1, go to step 3, otherwise go to step 5;
and 5: and (6) ending.
2. Available spectrum block FB definition method
Equation (1) defines the available spectrum block FB, where FSmIndicating a free frequency slot, FS, with index number mm+1Represents FSmR represents the number of frequency slots corresponding to the service required bandwidth.
FB＝{FSm,FSm+1,...,FSm+r-1} (1)
3. Method for judging meeting limited range spectrum conversion condition
Formula (2) is judgment Fi,j(∈Si) And Fi+1,k(∈Si+1) The condition for a limited-range spectral conversion is fulfilled, wherein epsilon represents the degree of conversion of the limited-range spectral converter,
and
respectively representing a spectral portion Fi,jAnd Fi+1,kCorresponding spectrum block, m and n are index numbers of frequency slots, and m ∈ [0, MAX]，n∈[0,MAX]And MAX denotes a maximum frequency slot index number.
A spectrum allocation method based on a mixed spectrum conversion resource pool in an elastic optical network comprises the following steps:
101. on the service route, the longest continuous spectrum segment set meeting the service bandwidth requirement is sequentially established from the source node to the destination node, and S is orderediRepresents the ith longest contiguous set of spectrum segments, I ═ max (I), and 1 ≦ I ≦ H, where H is the total hop count for the traffic route, Fi,jRepresentation set SiInitializing a variable i to 0 in the jth longest continuous spectrum segment;
102. if I is equal to I +1, jumping to step 103 if I is less than I, otherwise, jumping to step 105;
103. if there is Fi,j(∈Si) And Fi+1,k(∈Si+1) Satisfies formula (2), and intermediate node vi,i+1A limited range spectrum converter with a free space in it, will be (F)i,j,Fi+1,k) Adding to the set of conversion relationships C, and deleting SiAnd Si+1All spectrum sections which do not meet the conversion condition are skipped to step 102, otherwiseThen, go to step 104;
104. if the intermediate node vi,i+1With a free full-range spectrum converter in it, all (F)i,j,Fi+1,k) Adding the conversion relation set C, jumping to a step 102, otherwise, jumping to a step 106;
105. in the set of conversion relationships C, by
Preferentially selecting a low-frequency continuous spectrum band on a service route to determine a unique optical path, and configuring a corresponding spectrum and a spectrum converter;
106. and (6) ending.
The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (4)
1. A spectrum allocation method based on a mixed spectrum conversion resource pool in an elastic optical network is provided, an elastic optical network model is G (V, L), wherein V is a node set in the network, L is a bidirectional link set in the network, and each node is provided with a certain number of limited-range spectrum converters and full-range spectrum converters, and the spectrum allocation method on a service route comprises the following steps:
step 1, on the service route, establishing the longest continuous spectrum segment set satisfying the service bandwidth requirement from the source node to the destination node in sequence, and making SiRepresents the ith longest contiguous set of spectrum segments, I ═ max (I), and 1 ≦ I ≦ H, where H is the total hop count for the traffic route, Fi,jRepresentation set SiInitializing a variable i to 0 in the jth longest continuous spectrum segment;
step 2, making I equal to I +1, if I is less than I, skipping to step 3, otherwise, skipping to step 5;
step 3, if there is Fi,j(∈Si) And Fi+1,k(∈Si+1) Meets the limited range spectrum conversion condition and has an intermediate node vi,i+1A limited range spectrum converter with a free space in it, will be (F)i,j,Fi+1,k) Adding to the set of conversion relationships C, and deleting SiAnd Si+1Skipping to the step 2 for all the spectrum sections which do not meet the conversion condition, or else skipping to the step 4;
step 4, if the intermediate node vi,i+1With a free full-range spectrum converter in it, all (F)i,j,Fi+1,k) Adding the conversion relation set C, skipping to the step 2, otherwise, skipping to the step 6;
step 5, in the conversion relation set C, through
Preferentially selecting a low-frequency continuous spectrum band on a service route to determine a unique optical path, and configuring a corresponding spectrum and a spectrum converter;
and 6, ending.
2. The method according to claim 1, wherein the longest continuous spectrum segment set S satisfying the service bandwidth requirement is established in step 1iThe method comprises the following specific steps:
1) starting from a current node, searching all available spectrum blocks FB meeting the service bandwidth requirement in a full spectrum range and putting the available spectrum blocks FB into a temporary set T;
2) if | T |>0, according to the continuity of the frequency spectrum blocks on the service route, sorting and marking the frequency spectrum blocks in the T as { FB ] according to the sequence from large hop number to small hop numberαWhere α denotes the sequence number of the spectrum block, let DαIs FBαContinuously skipping frequency spectrum on the service route, making α equal to 1, and making j equal to 1 skip to step 4), otherwise, skipping to step 5);
3) let Fi,j＝(FBα,Dα) Will Fi,jPut into set Si；
4) If D isα+1＝DαIf α is α +1, j is j +1, go to step 3), otherwise go to step 5);
5) and (6) ending.
3. The spectrum allocation method based on the mixed spectrum conversion resource pool in the elastic optical network as claimed in claim 2, wherein the definition method of the available spectrum block FB of step 1) is shown in formula (1), wherein FS ismIndicating a free frequency slot, FS, with index number mm+1Represents FSmR represents the number of frequency slots corresponding to the service required bandwidth.
FB＝{FSm,FSm+1,...,FSm+r-1} (1)
4. The method according to one of claims 1 to 3, wherein the step 3 determines Fi,j(∈Si) And Fi+1,k(∈Si+1) The condition for satisfying the limited-range spectral conversion is shown in equation (2), where e represents the degree of conversion of the limited-range spectral converter,
and
respectively representing a spectral portion Fi,jAnd Fi+1,kCorresponding spectrum block, m and n are index numbers of frequency slots, and m ∈ [0, MAX]，n∈[0,MAX]MAX denotes a maximum frequency slot index number;
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