CN105847144B - A kind of method of cooperation optimization overlay network performance - Google Patents

A kind of method of cooperation optimization overlay network performance Download PDF

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CN105847144B
CN105847144B CN201610365578.6A CN201610365578A CN105847144B CN 105847144 B CN105847144 B CN 105847144B CN 201610365578 A CN201610365578 A CN 201610365578A CN 105847144 B CN105847144 B CN 105847144B
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alliance
participant
matrix
overlay network
equal
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CN105847144A (en
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廖建新
王敬宇
龚军
朱晓民
李彤红
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Beijing University of Posts and Telecommunications
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Beijing University of Posts and Telecommunications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/14Routing performance; Theoretical aspects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/46Cluster building
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22Traffic simulation tools or models
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/06Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/10Flow control between communication endpoints

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

A kind of method of cooperation optimization overlay network performance, including following operative step: (1) setting initial value to the alliance strategy matrix Q of each participant;(2) each participant updates its alliance strategy matrix Q;(3) step 2 is repeated, until the alliance strategy matrix Q of each participant reaches stable convergence, is no longer changed;(4) each participant forms alliances according to its current alliance strategy matrix Q;The participant belonged in same alliance routes according to the routing policy of the cost minimization of alliance where making;(5) all participants repeat step 1 to step 4, to realize that cooperation optimizes all participant's performances according to the uniform period of setting.Method of the invention optimizes the network routing of nerve of a covering, improves network performance and stability.

Description

A kind of method of cooperation optimization overlay network performance
Technical field
The present invention relates to a kind of methods of cooperation optimization overlay network performance, belong to technical field of the computer network, especially It is to belong to coverage water optimisation technique field.
Background technique
Overlay network is a kind of virtual network being deployed on physical network, does not need to change network structure just on a large scale More preferable and more reliable network service can be provided.Overlay network is by being distributed overlay node in a network and connecting their logic Link composition, wherein overlay node is router, host or the application server in physical network, has and routes, at data The functions such as reason and data preservation, and corresponding one or more physical link of logical links, that is, covering link.Overlay network possesses one Cover the routing mechanism that route independently of physical network layer, can application layer according to the strategy of oneself carry out the routing of data packet with Forwarding.In the past few years, a large amount of different types of overlay networks are by SPs (Service Providers, service provider) It is deployed in internet, for providing different services, for example, CDN (Content Delivery Network, content distribution Network), P2P (Peer-to-Peer, peer-to-peer network) and RON (Resilient Overlay Network, elastic nerve of a covering Network).
Although these overlay networks improve the routing performance of conventional physical network, largely occur covering in a network The routings such as the routing interaction between routing interaction, overlay network between cover net network and physical network mix interaction problems, this Routing mixing interaction problems lead to unstable networks and performance loss.The reason is as follows that: on the one hand, overlay network is generally according to one Specific performance indicator optimizes their routing, such as minimizes time delay cost, and physical network generallys use TE (Traffic Engineering, traffic engineering) carrys out the cost of peak optimizating network, such as minimizes network congestion cost.Covering For network according to the Target Assignment flow of themselves on logical layer, it is no longer optimal for leading to the existing TE routing policy of bottom Strategy, then TE, which can be triggered, readjusts routing, and new routing will affect the performance of overlay network above again in turn, therefore The inconsistent of target causes covering routing and TE to interact, and then affects the stability and optimality of overall network.It is another Aspect, when multiple overlay networks are deployed on the same physical network simultaneously, their overlay path may be overlapped, because For a plurality of overlay path may use simultaneously arrived same physical link, some overlay network optimize its routing when may The performance of other overlay networks can be impacted, therefore the competition of Internet resources results in the interaction between overlay network, into And also affect the stability and optimality of overlay network.
There are problems that largely routing the optimization of network performance under mixing interaction scenario becomes in overlay network and physical network One, Computer Network Project field technical problem urgently to be resolved at present.
Summary of the invention
In view of this, the purpose of the present invention is inventing a kind of method, both consider each overlay network and physical network it Between routing interaction, it is also considered that between overlay network routing interaction on the basis of, by between physical network and overlay network Alliance's cooperation, be deployed in caused routing on same physical network to solve multiple overlay networks and mix interaction problems, most The performance optimization of overlay network is realized eventually.
In order to achieve the above object, the invention proposes a kind of method of cooperation optimization overlay network performance, the methods Including following operative step:
(1) initial value is set to the alliance strategy matrix T of each participant;
The participant refers to overlay network or physical network;The alliance strategy matrix T of the participant refers to The matrix that each participant and other participant's relationships of forming alliances are constituted, the matrix are the matrixes of 1 row Z column, and Z is indicated The number of all participants, including all overlay networks and 1 physical network;The alliance strategy matrix T's of the participant The physical meaning of 1st row kth column element refers to the relationship of the participant and k-th of participant, if the two is formed alliances Then the element value is 1 to relationship, and otherwise the element value is that 0, k is greater than the natural number for being less than or equal to Z equal to 1;
The form alliances physical meaning of relationship of the participant refers to and forms an alliance between participant, then together Minimize the cost of the alliance;The cost of the alliance refers to the weighted sum of the cost of all participants in the alliance;Institute The alliance stated refers to the set of all participants in same alliance;
(2) according to the current value of alliance's strategy matrix of other participants, each participant updates its alliance's strategy matrix T;
(3) step 2 is repeated, until the alliance strategy matrix T of each participant reaches stable convergence, is no longer changed;
(4) each participant forms alliances according to its current alliance strategy matrix T;Belong to the participant in same alliance It is routed according to the routing policy of the cost minimization of alliance where making;
(5) all participants repeat step (1) to step (4) according to the uniform period of setting, to realize that cooperation is excellent Change all participant's performances.
The particular content of the step 2 be include following operation sub-step:
(201) each participant sets its C assigned cost function w (T) that coalizes, which is equal to alliance C and adopts The cost of the participant is distributed to Charolais cattle mode, the function is specific as follows:
In above formula,
C indicates the alliance that the participant forms according to alliance strategy matrix T;S indicates any sub- alliance in alliance C, The sub- alliance refers to a subset (including vacuous subset, if vacuous subset, then S is empty alliance) of alliance;K indicates the participation The number of person, wherein k is greater than the natural number for being less than or equal to Z equal to 1, and the number of all overlay network participants is from 1 to Z- 1, the number of physical network participant is Z;
| C | indicate the size of alliance C;| S | indicate the size of sub- alliance S;
V (S) indicates the cost that sub- alliance S is obtained, the cost equal to sub- alliance S and alliance C other are all by remaining It is successively executed between the sub- alliance (remaining one people of participant constitutes a Ge Zi alliance) that participant is separately formed and other alliances The result that the objective function of oneself obtains after stable convergence;The objective function of the sub- alliance uses and the alliance The identical function form of Definition of objective function;The objective function of the alliance C setting is equal to all participations in the alliance C The minimum value of person's cost function weighted sum, the function are specific as follows:
In above formula,
ψk=g (Y), works as k=1, when 2 ..., Z-1;ψk=λ f (X), as k=Z;
In above formula,
λ is the weight of equal value between the time delay cost of overlay network participant and the congestion cost of physical network participant, Indicate that 1 unit time delay cost is equivalent to λ unit congestion cost;
X indicates the flow proportional matrix of physics network participants, refers to all nerve of a covering assignment of traffic to different physics roads The matrix that proportionality coefficient on diameter is constituted, the matrix are the matrixes of R row N column, and R indicates own in physics network participants The item number of physical pathway, N indicate the total number of the covering link of all overlay network participants;I-th row jth of the matrix arranges member The physical meaning of element refers to the ratio in the nerve of a covering assignment of traffic to i-th physical pathway of j-th strip covering link, and i is greater than It is less than or equal to the natural number of R equal to 1, j is greater than the natural number for being less than or equal to N equal to 1;
Y is the assignment of traffic matrix of the overlay network participant, refers to every covering in overlay network participant The matrix that the flow that flow point is fitted on the different overlay paths of overlay network participant is constituted, the matrix are a P row Q column Matrix, P indicates the item number of the overlay path of overlay network participant, and Q indicates the covering stream of overlay network participant Item number;The physical meaning of the n-th column element of m row of the matrix refers to that nth covering flow point is fitted on the stream on the m articles overlay path Amount, m are greater than the natural number for being less than or equal to P equal to 1, and n is greater than the natural number for being less than or equal to Q equal to 1;
F (X) indicates that the congestion metric function of physics network participants, the function are equal to the congestion cost of all physical links The sum of, the function is specific as follows:
F (X)=δTO(L)
In above formula,
δ is that length is E, and element value is all 1 vector, and E indicates the item number of all physical links in physics network participants;
O (L) indicates the congestion cost function vector of all physical links, defines O (L)=(o1(l1),…,oe(le),…, oE(lE))T, wherein oe(le) indicating the congestion cost function of physical link e, the function is specific as follows:
ceIndicate the capacity of physical link e;
leIndicate the flow value on physical link e;
L indicates the flow value vector of all physical links, defines L=(l1,…,le,…,lE)T, the calculating of L is as follows:
L=AXH
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link, which is an E The matrix of row R column, E indicate that the item number of all physical links in physics network participants, R indicate institute in physics network participants There is the item number of physical pathway;The physical meaning of the s row t column element of the matrix refers to whether the t articles physical pathway passes through s Physical link, the element value is 1 when passing through, without when the element value be 0, wherein s is greater than equal to 1 less than or equal to E's Natural number, t are greater than the natural number for being less than or equal to R equal to 1;
The flow proportional matrix of X expression physics network participants;
H is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
For each overlay network participant, whether B indicates the overlay path in overlay network participant by being somebody's turn to do The identity matrix of covering link in overlay network participant, matrix B are the matrixes of W row P column, and W indicates the overlay network The item number of the covering link of participant, P indicate the item number of the overlay path of overlay network participant;The u row v of the matrix The physical meaning of column element refers to whether the v articles overlay path passes through the u articles covering link, and the element value is 1 when passing through, without The out-of-date element value is 0, and wherein u is greater than the natural number for being less than or equal to W equal to 1, and v is greater than oneself for being less than or equal to P equal to 1 So number;
It indicates nonzero element all in the assignment of traffic matrix Y of overlay network participant according to the suitable of its column Sequence successively carries out the matrix that the P row 1 that column arrangement is constituted arranges;
The number order according to all overlay network participants is indicated, all overlay network participants'According to The secondary matrix for carrying out the N row 1 that column arrangement is constituted and arranging;
G (Y) is the time delay target function of overlay network participant, which is equal to all of the overlay network participant The sum of time delay cost of covering link, the function are specific as follows:
G (Y)=(AX Ω)TD(L)
In above formula,
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link;
The flow proportional matrix of X expression physics network participants;
Ω is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
It indicates nonzero element all in the assignment of traffic matrix Y of the overlay network participant according to its column Sequence successively carry out the matrix that the P row 1 that column arrangement constituted arranges;
The number order according to all overlay network participants is indicated, by the overlay network participant'sExpand Transform into the matrix arranged with matrix H N row 1 of the same size, and by the element in the matrix in addition to the nerve of a covering corresponding position All it is set to zero;
D (L) indicates the time delay cost function vector of all physical links, defines D (L)=(d1(l1),…,de(le),…, dE(lE))T, wherein de(le) indicating the time delay cost function of physical link e, the function is specific as follows:
de(le(the c of)=1/e-le)+p
The function is equal to the sum of queuing delay and propagation delay, ceIndicate the capacity of physical link e, 1/ (ce-le) indicate M/ M/1 queuing delay, constant p indicate propagation delay;
(202) participant carries out optimization processing to the assigned cost function w (T), that is, calculate so that by Allocated costs function w (T) obtains alliance strategy matrix T when minimum value;
In the step (201), other of the sub- alliance S and alliance C all are separately formed by remaining participant Sub- alliance and other alliances between successively execute oneself objective function process between the alliance successively execute from The process of oneself objective function is identical;
In the step (201), the calculation method of the alliance target function sets is genetic algorithm;
The beneficial effects of the present invention are: method of the invention has comprehensively considered the road between overlay network and physical network By interact and overlay network between routing interaction etc. routings mixing interaction various situations, pass through physical network and nerve of a covering Alliance's cooperation between network realizes and optimizes to the network routing of nerve of a covering, improves network performance and stability.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the method for cooperation optimization overlay network performance proposed by the present invention.
Fig. 2 is the network diagram of the embodiment of the present invention.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, the present invention is made with reference to the accompanying drawing further Detailed description.
Referring to Fig. 1, the method for introducing a kind of cooperation optimization overlay network performance proposed by the present invention, the method includes under Column operating procedure:
(1) initial value is set to the alliance strategy matrix T of each participant;
The participant refers to overlay network or physical network;The alliance strategy matrix T of the participant refers to The matrix that each participant and other participant's relationships of forming alliances are constituted, the matrix are the matrixes of 1 row Z column, and Z is indicated The number of all participants, including all overlay networks and 1 physical network;The alliance strategy matrix T's of the participant The physical meaning of 1st row kth column element refers to the relationship of the participant and k-th of participant, if the two is formed alliances Then the element value is 1 to relationship, and otherwise the element value is that 0, k is greater than the natural number for being less than or equal to Z equal to 1;
Referring to fig. 2, what Fig. 2 was provided is the network of a physical network and three overlay networks signal in the embodiment of the present invention Figure.
Because the number of all participants is 4, the alliance strategy matrix T of 1 participant of overlay network is the matrix of 1 row 4 column, T=[t11 t12 t13 t14], wherein t11Indicate the alliance of overlay network 1 participant and oneself, t12Indicate overlay network 1 The alliance of participant and 2 participant of overlay network, t13Indicate the connection of 1 participant of overlay network and 3 participant of overlay network Alliance's relationship, t14Indicate the alliance of 1 participant of overlay network and 4 participant of overlay network, and t11=1, indicate participant Alliance with oneself is 1.Here, T=[t is given11 t12 t13 t14] initial value is set as T=[1 10 0], indicate covering 1 participant of network forms alliances with 2 participant of overlay network, does not form with 3 participant of overlay network and physical network participant Alliance;
The alliance strategy matrix T of 2 participant of overlay network is the matrix of 1 row 4 column, T=[t21 t22 t23 t24], wherein t21Indicate the alliance of 2 participant of overlay network and 1 participant of overlay network, t22Indicate 2 participant of overlay network and oneself Alliance, t23Indicate the alliance of 2 participant of overlay network and 3 participant of overlay network, t24Indicate overlay network 2 The alliance of participant and 4 participant of overlay network, and t22=1, indicate that 2 participant of overlay network and the alliance of oneself are closed System is 1.Because alliance's strategy matrix of the participant in same alliance is identical, according to the alliance of 1 participant of overlay network Strategy matrix initial value T=[1 10 0], alliance's strategy matrix of 2 participant of overlay network are also [1 10 0] T=, table Show that 2 participant of overlay network forms alliances with 1 participant of overlay network, with 3 participant of overlay network and physical network participant It does not form alliances;
The alliance strategy matrix T of 3 participant of overlay network is the matrix of 1 row 4 column, T=[t31 t32 t33 t34], wherein t31Indicate the alliance of 3 participant of overlay network and 1 participant of overlay network, t32Indicate 3 participant of overlay network and covering The alliance of 2 participant of network, t33Indicate the alliance of overlay network 3 participant and oneself, t34Indicate overlay network 3 The alliance of participant and 4 participant of overlay network, and t33=1, indicate that 3 participant of overlay network and the alliance of oneself are closed System is 1.According to the initial value of 2 participant alliance strategy matrix of 1 participant of overlay network and overlay network, overlay network 1 is participated in Person, 2 participant of overlay network and 3 participant of overlay network do not form alliances, then have t31=0, t32=0.Therefore, T=[t is given31 t32 t33 t34] setting initial value T=[0 01 1], indicate 3 participant of overlay network and 1 participant of overlay network, nerve of a covering 2 participant of network does not form alliances, and participant forms alliances with physical network;
The alliance strategy matrix T of 4 participant of overlay network is the matrix of 1 row 4 column, T=[t41 t42 t43 t44], wherein t41Indicate the alliance of 4 participant of overlay network and 1 participant of overlay network, t42Indicate 4 participant of overlay network and covering The alliance of 2 participant of network, t43Indicate the alliance of 4 participant of overlay network and 3 participant of overlay network, t44Table Show the alliance of overlay network 4 participant and oneself, and t44=1, indicate that 4 participant of overlay network and the alliance of oneself are closed System is 1.According to alliance's strategy matrix of 3 participant of 1 participant of overlay network, 2 participant of overlay network and overlay network, object The alliance's strategy matrix for managing network participants is T=[0 01 1], indicate physics network participants and 1 participant of overlay network, 2 participant of overlay network does not form alliances, and 3 participant forms alliances with overlay network;
The form alliances physical meaning of relationship of the participant refers to and forms an alliance between participant, then together Minimize the cost of the alliance;The cost of the alliance refers to the weighted sum of the cost of all participants in the alliance;Institute The alliance stated refers to the set of all participants in same alliance;
(2) according to the current value of alliance's strategy matrix of other participants, each participant updates its alliance's strategy matrix T;
(3) step 2 is repeated, until the alliance strategy matrix T of each participant reaches stable convergence, is no longer changed;
(4) each participant forms alliances according to its current alliance strategy matrix T;Belong to the participant in same alliance It is routed according to the routing policy of the cost minimization of alliance where making;
(5) all participants repeat step (1) to step (4) according to the uniform period of setting, to realize that cooperation is excellent Change all participant's performances.
The particular content of the step 2 be include following operation sub-step:
(201) each participant sets its C assigned cost function w (T) that coalizes, which is equal to alliance C and adopts The cost of the participant is distributed to Charolais cattle mode, the function is specific as follows:
According to alliance's strategy matrix initial value of all participants set in step 1,1 participant of overlay network and covering 2 participant of network forms alliances, and 3 participant of overlay network and physical network participant form alliances, then existing alliance can be with { 1,2 } are expressed as, { 3,4 };
The alliance strategy matrix T=[1 10 0] of 1 participant of overlay network, then 1 participant of overlay network belongs to alliance { 1,2 }, according to the formula of w (T),
Wherein,For empty alliance, the cost of empty allianceResult equal to 0, v ({ 1 }) is the sub- alliance of alliance { 1,2 } { 1 }, the objective function that oneself is successively executed between the sub- alliance { 2 } of alliance { 1,2 }, alliance { 3,4 } obtains after stable convergence As a result, the result of v ({ 2,1 }) successively executes the objective function of oneself until steady between alliance { 2,1 }, alliance { 3,4 } It is being obtained after fixed convergence as a result, the result of v ({ 2 }) is the sub- alliance { 2 } of alliance { 1,2 }, the sub- alliance { 1 } of alliance { 1,2 }, connection The result that the objective function of oneself obtains after stable convergence is successively executed between alliance { 3,4 };
The alliance strategy matrix T=[1 10 0] of 2 participant of overlay network, then 2 participant of overlay network belongs to alliance { 1,2 }, according to the formula of w (T),
Wherein,For empty alliance, the cost of empty allianceResult equal to 0, v ({ 2 }) is the sub- alliance of alliance { 1,2 } { 2 }, the objective function that oneself is successively executed between the sub- alliance { 1 } of alliance { 1,2 }, alliance { 3,4 } obtains after stable convergence As a result, the result of v ({ 1,2 }) successively executes the objective function of oneself until steady between alliance { 1,2 }, alliance { 3,4 } It is being obtained after fixed convergence as a result, the result of v ({ 1 }) is the sub- alliance { 1 } of alliance { 1,2 }, the sub- alliance { 2 } of alliance { 1,2 }, connection The result that the objective function of oneself obtains after stable convergence is successively executed between alliance { 3,4 };
The alliance strategy matrix T=[0 01 1] of 3 participant of overlay network, then 3 participant of overlay network belongs to alliance { 3,4 }, according to the formula of w (T),
Wherein,For empty alliance, the cost of empty allianceResult equal to 0, v ({ 3 }) is the sub- alliance of alliance { 3,4 } { 3 }, the objective function that oneself is successively executed between the sub- alliance { 4 } of alliance { 3,4 }, alliance { 1,2 } obtains after stable convergence As a result, the result of v ({ 4,3 }) successively executes the objective function of oneself until steady between alliance { 4,3 }, alliance { 1,2 } It is being obtained after fixed convergence as a result, the result of v ({ 4 }) is the sub- alliance { 4 } of alliance { 3,4 }, the sub- alliance { 3 } of alliance { 3,4 }, connection The result that the objective function of oneself obtains after stable convergence is successively executed between alliance { 1,2 };
The alliance strategy matrix T=[0 01 1] of 4 participant of overlay network, then 4 participant of overlay network belongs to alliance { 3,4 }, according to the formula of w (T),
Wherein,For empty alliance, the cost of empty allianceResult equal to 0, v ({ 4 }) is the sub- alliance of alliance { 3,4 } { 4 }, the objective function that oneself is successively executed between the sub- alliance { 3 } of alliance { 3,4 }, alliance { 1,2 } obtains after stable convergence As a result, the result of v ({ 3,4 }) successively executes the objective function of oneself until steady between alliance { 3,4 }, alliance { 1,2 } It is being obtained after fixed convergence as a result, the result of v ({ 3 }) is the sub- alliance { 3 } of alliance { 3,4 }, the sub- alliance { 4 } of alliance { 3,4 }, connection The result that the objective function of oneself obtains after stable convergence is successively executed between alliance { 1,2 };
In above formula,
C indicates the alliance that the participant forms according to alliance strategy matrix T;S indicates any sub- alliance in alliance C, The sub- alliance refers to a subset (including vacuous subset, if vacuous subset, then S is empty alliance) of alliance;K indicates the participation The number of person, wherein k is greater than the natural number for being less than or equal to Z equal to 1, and the number of all overlay network participants is from 1 to Z- 1, the number of physical network participant is Z;
| C | indicate the size of alliance C;| S | indicate the size of sub- alliance S;
V (S) indicates the cost that sub- alliance S is obtained, the cost equal to sub- alliance S and alliance C other are all by remaining It is successively executed between the sub- alliance (remaining one people of participant constitutes a Ge Zi alliance) that participant is separately formed and other alliances The result that the objective function of oneself obtains after stable convergence;The objective function of the sub- alliance uses and the alliance The identical function form of Definition of objective function;The objective function of the alliance C setting is equal to all participations in the alliance C The minimum value of person's cost function weighted sum, the function are specific as follows:
According to alliance's strategy matrix initial value of all participants set in step 1, for alliance { 1,2 }, then it Objective function h ({ 1,2 }) be
H ({ 1,2 })=min g (Y1)+g (Y2)
Wherein Y1, Y2 are respectively the assignment of traffic matrix of 2 participant of 1 participant of overlay network and overlay network;
For alliance { 3,4 }, then its objective function h ({ 3,4 }) is
H ({ 3,4 })=min g (Y3)+λ f (X)
Wherein Y3 is the assignment of traffic matrix of 3 participant of overlay network, and X is the flow proportional square of physical network participant Battle array, the value of λ are set as 1 in emulation experiment;
In above formula,
ψk=g (Y), works as k=1, when 2 ..., Z-1;ψk=λ f (X), as k=Z;
In above formula,
λ is the weight of equal value between the time delay cost of overlay network participant and the congestion cost of physical network participant, Indicate that 1 unit time delay cost is equivalent to λ unit congestion cost;
X indicates the flow proportional matrix of physics network participants, refers to all nerve of a covering assignment of traffic to different physics roads The matrix that proportionality coefficient on diameter is constituted, the matrix are the matrixes of R row N column, and R indicates own in physics network participants The item number of physical pathway, N indicate the total number of the covering link of all overlay network participants;I-th row jth of the matrix arranges member The physical meaning of element refers to the ratio in the nerve of a covering assignment of traffic to i-th physical pathway of j-th strip covering link, and i is greater than It is less than or equal to the natural number of R equal to 1, j is greater than the natural number for being less than or equal to N equal to 1;
Referring to fig. 2, what Fig. 2 was provided is the network of a physical network and three overlay networks signal in the embodiment of the present invention Figure.
Overlay network 1 has 5 overlay node G1,E1,F1,H1,I1With 12 covering links: G1-E1,E1-I1,G1-F1,F1- I1,G1-H1,H1-I1,E1-G1,I1-E1,F1-G1,I1-F1,H1-G1,I1-H1;Have in overlay network 1 one from overlay node G1It arrives I1Demand be 1Mbps covering stream, by G1-E1-I1, G1-F1-I1And G1-H1-I1Three overlay path transmission;
Overlay network 2 has 4 overlay node A2,C2,F2,D2With 8 covering links: A2-C2,C2-D2,A2-F2,F2- D2, C2-A2,D2-C2, F2-A2, D2-F2;Have in overlay network 2 one from overlay node A2To D2Demand be 2Mbps covering stream, By A2-C2-D2And A2-F2-D2Two overlay path transmission;
There are 3 overlay node A in overlay network 33, G3, E3With 6 covering links: A3-E3, A3-G3, G3-E3, E3- A3, G3-A3, E3-G3;Have in overlay network 3 one from overlay node A3To E3Demand be 3Mbps covering stream, by A3-E3With A3-G3-E3Three overlay path transmission;
Physical network has 16 links: A-B, B-C, C-D, A-E, C-E, E-D, A-G, A-F, E-I, D-I, G-E, G-F, F-D, F-I, G-H and H-I, in order respectively marked as 1 to 16.
Table 1
What table 1 provided is the physics road of all covering links mapping in overlay network 1, overlay network 2 and overlay network 3 Diameter collection table.In the present embodiment, because of covering link E in overlay network 11-G1, I1-E1,F1-G1,I1-F1,H1- G1,I1- H1, covering link C in overlay network 22-A2,D2-C2,F2-A2,D2-F2With the covering link E in overlay network 33-A3,G3- A3,E3-G3On be not covered with flow, and the physical pathway collection that they are mapped is combined into empty (i.e. there is no path is reachable), so table 1 In just do not list they map physical pathway set.
In physical network, the flow in every covering link will bring a physical streams, the physics to physical network The source of stream, destination node are the corresponding physical nodes of covering link both ends overlay node, and the demand of the physical streams is equal to this Covering flow in covering link.For example, if covering link G1-E1On have the flow of 1/3Mbps, it gives physical network band The physical streams that a demand from physical node G to E is 1/3Mbps are carried out.
In the embodiment shown in Figure 2, because of the total item of the covering link of overlay network 1, overlay network 2 and overlay network 3 Number is 26, and the corresponding physical pathway total number of 26 covering links is 19 (19 in table 1), then the flow of physical network Scaling matrices X is 19 row, 26 column matrix.
Only having in 13 covering links in embodiment has covering flow: G1-E1,E1-I1,G1-F1,F1-I1,G1-H1,H1- I1,A2-C2,C2-D2,A2-F2,F2-D2,A3-E3,A3-G3,G3-E3, therefore, we in order respectively marked as 1 to 13, other Covering link sequentially label 14 to 26.Again because this 13 covering links have mapped 19 physical pathways: G-E, E-D-I, E-I, G-F、F-D-I、F-I、G-H、H-I、A-B-C、C-D、C-E-D、A-F、A-G-F、F-D、A-B-C-E、 A-E、A-G-E、A-G、G- E, therefore we are also in order respectively marked as 1 to 19.
Therefore, the flow proportional matrix X of physical network can be expressed as
Wherein xijIndicate the ratio in the nerve of a covering assignment of traffic to i-th physical pathway of j-th strip covering link, x11= 1,x22+x32=1, x43=1, x54+x64=1, x75=1, x86=1, x97=1, x10,8+x11,8=1, x12,9+x13,9=1, x14,10 =1, x15,11+x16,11+x17,11=1, x18,12=1, x19,13=1, indicate that physics flow point is fitted on the flow in all physical pathways The sum of ratio is equal to 1.Because of G1To E1、G1To F1、G1To H1、H1To I1、A2To C2、F2To D2、A3To G3、G3To E3Corresponding stream Only 1, so x11, x43, x75, x86, x97, x14,10, x18,12, x19,13Value be 1.Therefore, the initial value of X can be set are as follows:
Y is the assignment of traffic matrix of the overlay network participant, refers to every covering in overlay network participant The matrix that the flow that flow point is fitted on the different overlay paths of overlay network participant is constituted, the matrix are a P row Q column Matrix, P indicates the item number of the overlay path of overlay network participant, and Q indicates the covering stream of overlay network participant Item number;The physical meaning of the n-th column element of m row of the matrix refers to that nth covering flow point is fitted on the stream on the m articles overlay path Amount, m are greater than the natural number for being less than or equal to P equal to 1, and n is greater than the natural number for being less than or equal to Q equal to 1;
Referring to fig. 2, have in overlay network 1 one from overlay node G1To I1Demand be 1Mbps covering stream, by three The transmission of overlay path, then the assignment of traffic matrix Y of overlay network 1 is the matrix of 3 rows 1 column,Wherein y11It indicates The covering flow point is fitted on overlay path G1-E1-I1On covering flow, y21Indicate that the covering flow point is fitted on overlay path G1- F1- I1On flow, y31Indicate that the covering flow point is fitted on overlay path G1-H1-I1On flow, and y11+y21+ y31=1, it indicates The sum of the covering flow that the covering flow point is fitted on three overlay paths is equal to the 1Mbps demand of the covering stream.Here, it givesSet initial value as
Have in overlay network 2 one from overlay node A2To D2Demand be 2Mbps covering stream, by two covering roads Diameter transmission, then the assignment of traffic matrix Y of overlay network 2 is the matrix of 2 rows 1 column,Wherein y11Indicate the covering flow point It is fitted on overlay path A2-C2-D2On covering flow, y21Indicate that the covering flow point is fitted on overlay path A2-F2-D2On flow, And y11+y21=2, indicate that the sum of the covering flow that the covering flow point is fitted on two overlay paths is equal to the covering stream 2Mbps demand.Here, it givesSet initial value as
Have in overlay network 3 one from overlay node A3To E3Demand be 3Mbps covering stream, by two covering roads Diameter transmission, then the assignment of traffic matrix Y of overlay network 3 is the matrix of 2 rows 1 column,Wherein y11Indicate the covering flow point It is fitted on overlay path A3-E3On covering flow, y21Indicate that the covering flow point is fitted on overlay path A3-G3-E3On flow, and And y11+y21=3, indicate that the sum of the covering flow that the covering flow point is fitted on two overlay paths is equal to the covering stream 3Mbps demand.Here, it givesSet initial value as
F (X) indicates that the congestion metric function of physics network participants, the function are equal to the congestion cost of all physical links The sum of, the function is specific as follows:
F (X)=δTO(L)
In above formula,
δ is that length is E, and element value is all 1 vector, and E indicates the item number of all physical links in physics network participants;
Referring to Fig. 2, physical network has 16 physical links, and all δ are the matrix of 16 rows 1 column, then δ are as follows:
δ=[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]T
O (L) indicates the congestion cost function vector of all physical links, defines O (L)=(o1(l1),…,oe(le),…, oE(lE))T, wherein oe(le) indicating the congestion cost function of physical link e, the function is specific as follows:
ceIndicate the capacity of physical link e;
leIndicate the flow value on physical link e;
L indicates the flow value vector of all physical links, defines L=(l1,…,le,…,lE)T, the calculating of L is as follows:
L=AXH
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link, which is an E The matrix of row R column, E indicate that the item number of all physical links in physics network participants, R indicate institute in physics network participants There is the item number of physical pathway;The physical meaning of the s row t column element of the matrix refers to whether the t articles physical pathway passes through s Physical link, the element value is 1 when passing through, without when the element value be 0, wherein s is greater than equal to 1 less than or equal to E's Natural number, t are greater than the natural number for being less than or equal to R equal to 1;
Referring to Fig. 2, there are 16 physical links and 19 physical pathways in physical network, then A is the matrix of 16 rows 19 column, then A is
The flow proportional matrix of X expression physics network participants;
H is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
For each overlay network participant, whether B indicates the overlay path in overlay network participant by being somebody's turn to do The identity matrix of covering link in overlay network participant, matrix B are the matrixes of W row P column, and W indicates the overlay network The item number of the covering link of participant, P indicate the item number of the overlay path of overlay network participant;The u row v of the matrix The physical meaning of column element refers to whether the v articles overlay path passes through the u articles covering link, and the element value is 1 when passing through, without The out-of-date element value is 0, and wherein u is greater than the natural number for being less than or equal to W equal to 1, and v is greater than oneself for being less than or equal to P equal to 1 So number;
It indicates nonzero element all in the assignment of traffic matrix Y of overlay network participant according to the suitable of its column Sequence successively carries out the matrix that the P row 1 that column arrangement is constituted arranges;
The number order according to all overlay network participants is indicated, all overlay network participants'According to The secondary matrix for carrying out the N row 1 that column arrangement is constituted and arranging;
Referring to fig. 2, there are 12 covering links and three overlay paths in overlay network 1, then the identity matrix of overlay network 1 B is the matrix of 12 rows 3 column, then B is
Because the initial value of overlay network 1 isSo according toDefinition,ThenFor
There are 8 covering links and 2 overlay paths in overlay network 2, then the identity matrix B of overlay network 2 is 8 rows 2 column Matrix, then B be
Because the initial value of overlay network 2 isSo according toDefinition,Then
There are 6 covering links and 2 overlay paths in overlay network 3, then the identity matrix B of overlay network 3 is 6 rows 2 column Matrix, then B be
Because the initial value of overlay network 3 isSo according toDefinition,Then
According to the formula of H, H is the matrix of 26 rows 1 column, then H is
Here, the label sequence of all covering links must keep one with the label sequence of covering links all in X in H It causes.
G (Y) is the time delay target function of overlay network participant, which is equal to all of the overlay network participant The sum of time delay cost of covering link, the function are specific as follows:
G (Y)=(AX Ω)TD(L)
In above formula,
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link;
The flow proportional matrix of X expression physics network participants;
Ω is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
It indicates nonzero element all in the assignment of traffic matrix Y of the overlay network participant according to its column Sequence successively carry out the matrix that the P row 1 that column arrangement constituted arranges;
The number order according to all overlay network participants is indicated, by the overlay network participant's It is extended to the matrix arranged with matrix H N row 1 of the same size, and by the member in the matrix in addition to the nerve of a covering corresponding position It is plain to be all set to zero;
Overlay network 1According to's Definition, Ω are the matrix of 26 rows 1 column, then Ω are as follows:
Overlay network 2According toDefinition, Ω 26 The matrix that row 1 arranges, then Ω are as follows:
Ω=[0 000001111000000000000000 0]T
Overlay network 3According toDefinition, Ω be 26 rows 1 column Matrix, then Ω are as follows:
D (L) indicates the time delay cost function vector of all physical links, defines D (L)=(d1(l1),…,de(le),…, dE(lE))T, wherein de(le) indicating the time delay cost function of physical link e, the function is specific as follows:
de(le(the c of)=1/e-le)+p
The function is equal to the sum of queuing delay and propagation delay, ceIndicate the capacity of physical link e, 1/ (ce-le) indicate M/ M/1 queuing delay, constant p indicate propagation delay (value of p generally between two end node of physical link at a distance from it is directly proportional, imitative In true experiment, we are uniformly set as 1 second);
(202) participant carries out optimization processing to the assigned cost function w (T), that is, calculate so that by Allocated costs function w (T) obtains alliance strategy matrix T when minimum value;
In the step (201), other of the sub- alliance S and alliance C all are separately formed by remaining participant Sub- alliance and other alliances between successively execute oneself objective function process between the alliance successively execute from The process of oneself objective function is identical;
In the step (201), the calculation method of the alliance target function sets is genetic algorithm;
In genetic algorithm, the chromosome of overlay network participant is expressed as Y, and the chromosome of physical network participant indicates For X, the number of chromosome is 50, and tolerable error is set as 0.001, and crossover probability is set as 0.8, and mutation probability is set as 0.5.It is losing The propagation algorithm initial stage initializes 50 feasible chromosomes, then successively using evaluation, selection, the operation of intersection and variation Successively objective function h (C) acquirement minimum value of the iteration until alliance.
1 participant of overlay network, 2 participant of overlay network, 3 participant of overlay network, physical network participant finally tie Result at the stable state of alliance is as follows:
The alliance strategy matrix T=[1 11 0] of 1 participant of overlay network;
The alliance strategy matrix T=[1 11 0] of 2 participant of overlay network;
The alliance strategy matrix T=[1 11 0] of 3 participant of overlay network;
The alliance strategy matrix T=[0 00 1] of physical network participant;
Inventor has carried out a large amount of emulation experiments to method of the invention, and the interaction of simulation results show mixed logic dynamic leads to net The oscillation of network performance, after method of the invention, system has converged to a stable shape after the interaction of multiple mixed logic dynamic State obtains the optimal performance of physical network and overlay network.

Claims (4)

1. a kind of method of cooperation optimization overlay network performance, it is characterised in that: the method includes following operative steps:
(1) initial value is set to the alliance strategy matrix T of each participant;
The participant refers to overlay network or physical network;The alliance strategy matrix T of the participant refers to each The matrix that participant and other participant's relationships of forming alliances are constituted, the matrix are the matrixes of 1 row Z column, and Z indicates all The number of participant, including all overlay networks and 1 physical network;The 1st row of the alliance strategy matrix T of the participant The physical meaning of kth column element refers to the relationship of the participant and k-th of participant, if the two is formed alliances, relationship is then The element value is 1, and otherwise the element value is that 0, k is greater than the natural number for being less than or equal to Z equal to 1;
The form alliances physical meaning of relationship of the participant refers to and forms an alliance between participant, then minimum together Change the cost of the alliance;The cost of the alliance refers to the weighted sum of the cost of all participants in the alliance;Described Alliance refers to the set of all participants in same alliance;
(2) according to the current value of alliance's strategy matrix of other participants, each participant updates its alliance strategy matrix T;
(3) step 2 is repeated, until the alliance strategy matrix T of each participant reaches stable convergence, is no longer changed;
(4) each participant forms alliances according to its current alliance strategy matrix T;Belong to participant in same alliance according to The routing policy of the cost minimization of alliance is routed where making;
(5) all participants repeat step (1) to step (4) according to the uniform period of setting, cooperate optimization institute to realize There is participant's performance.
2. a kind of method of cooperation optimization overlay network performance according to claim 1, it is characterised in that: the step 2 Particular content be include following operation sub-step:
(201) each participant sets its C assigned cost function w (T) that coalizes, which is equal to alliance C and uses the summer Puli's value mode distributes to the cost of the participant, and the function is specific as follows:
In above formula,
C indicates the alliance that the participant forms according to alliance strategy matrix T;S indicates any sub- alliance in alliance C, described Sub- alliance refers to a subset of alliance;K indicates the number of the participant, and wherein k is greater than oneself for being less than or equal to Z equal to 1 So number, the number of all overlay network participants is from 1 to Z-1, and the number of physical network participant is Z;
| C | indicate the size of alliance C;| S | indicate the size of sub- alliance S;
V (S) indicates the cost that sub- alliance S is obtained, the cost be equal to sub- alliance S and alliance C other are all by remaining participation The knot that the objective function of oneself obtains after stable convergence is successively executed between the sub- alliance and other alliances that person is separately formed Fruit;The objective function of the sub- alliance uses function form of Definition identical with the objective function of the alliance;Described The objective function of alliance C setting is equal to the minimum value of all participant's cost function weighted sums in the alliance C, and the function is specific It is as follows:
In above formula,
ψk=g (Y), works as k=1, when 2 ..., Z-1;ψk=λ f (X), as k=Z;
In above formula,
λ is the weight of equal value between the time delay cost of overlay network participant and the congestion cost of physical network participant, indicates 1 Unit time delay cost is equivalent to λ unit congestion cost;
X indicates the flow proportional matrix of physics network participants, refers in all nerve of a covering assignment of traffic to different physical pathways The matrix that is constituted of proportionality coefficient, which is the matrix of R row N column, and R indicates all physics in physics network participants The item number in path, N indicate the total number of the covering link of all overlay network participants;I-th row jth column element of the matrix Physical meaning refers to the ratio in the nerve of a covering assignment of traffic to i-th physical pathway of j-th strip covering link, and i is greater than equal to 1 Natural number less than or equal to R, j are greater than the natural number for being less than or equal to N equal to 1;
Y is the assignment of traffic matrix of the overlay network participant, refers to every covering flow point in overlay network participant The matrix that the flow being fitted on the different overlay paths of overlay network participant is constituted, the matrix are the squares of P row Q column Battle array, P indicate that the item number of the overlay path of overlay network participant, Q indicate the item number of the covering stream of overlay network participant; The physical meaning of the n-th column element of m row of the matrix refers to that nth covering flow point is fitted on the flow on the m articles overlay path, m It is greater than and is equal to 1 natural number for being less than or equal to P, n is greater than the natural number for being less than or equal to Q equal to 1;
F (X) indicate physics network participants congestion metric function, the function be equal to all physical links congestion cost it With the function is specific as follows:
F (X)=δTO(L)
In above formula,
δ is that length is E, and element value is all 1 vector, and E indicates the item number of all physical links in physics network participants;
O (L) indicates the congestion cost function vector of all physical links, defines O (L)=(o1(l1) ..., oe(le) ..., oE (lE))T, wherein oe(le) indicating the congestion cost function of physical link e, the function is specific as follows:
ceIndicate the capacity of physical link e;
leIndicate the flow value on physical link e;
L indicates the flow value vector of all physical links, defines L=(l1..., le..., lE)T, the calculating of L is as follows:
L=AXH
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link, which is an E row R The matrix of column, E indicate that the item number of all physical links in physics network participants, R indicate property in physics network participants The item number of line of reasoning diameter;The physical meaning of the s row t column element of the matrix refers to whether the t articles physical pathway passes through the s articles object Manage link, when passing through the element value be 1, without when the element value be 0, wherein s be greater than equal to 1 be less than or equal to E nature Number, t are greater than the natural number for being less than or equal to R equal to 1;
The flow proportional matrix of X expression physics network participants;
H is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
For each overlay network participant, B indicates whether the overlay path in overlay network participant passes through the covering The identity matrix of covering link in network participants, matrix B are the matrixes of W row P column, and W indicates that the overlay network participates in The item number of the covering link of person, P indicate the item number of the overlay path of overlay network participant;The u row v of the matrix arranges member Element physical meaning refer to whether the v articles overlay path passes through the u articles covering link, when passing through the element value be 1, without when The element value is 0, and wherein u is greater than the natural number for being less than or equal to W equal to 1, and v is greater than the natural number for being less than or equal to P equal to 1;
Indicate nonzero element all in the assignment of traffic matrix Y of overlay network participant according to its column sequence according to The secondary matrix for carrying out the P row 1 that column arrangement is constituted and arranging;
The number order according to all overlay network participants is indicated, all overlay network participants'Successively into Ranks arrange the matrix that constituted N row 1 arranges;
G (Y) is the time delay target function of overlay network participant, which is equal to all coverings of the overlay network participant The sum of time delay cost of link, the function are specific as follows:
G (Y)=(AX Ω)TD(L)
In above formula,
A indicates whether the physical pathway of physics network participants passes through the identity matrix of physical link;
The flow proportional matrix of X expression physics network participants;
Ω is the matrix of a N row 1 column, and specific formula for calculation is as follows:
In above formula,
It indicates nonzero element all in the assignment of traffic matrix Y of the overlay network participant according to the suitable of its column Sequence successively carries out the matrix that the P row 1 that column arrangement is constituted arranges;
The number order according to all overlay network participants is indicated, by the overlay network participant'sIt is extended to The matrix arranged with matrix H N row 1 of the same size, and the element in the matrix in addition to the nerve of a covering corresponding position is whole It is set to zero;
D (L) indicates the time delay cost function vector of all physical links, defines D (L)=(d1(l1) ..., de(le) ..., dE (lE))T, wherein de(le) indicating the time delay cost function of physical link e, the function is specific as follows:
de(le(the c of)=1/e-le)+p
The function is equal to the sum of queuing delay and propagation delay, ceIndicate the capacity of physical link e, 1/ (ce-le) indicate M/M/1 Queuing delay, constant p indicate propagation delay;
(202) participant carries out optimization processing to the assigned cost function w (T), that is, calculates so that being assigned Cost function w (T) obtain minimum value when alliance strategy matrix T.
3. a kind of method of cooperation optimization overlay network performance according to claim 2, it is characterised in that: the step (201) in, other all sub- alliances being separately formed by remaining participant and other connection of the sub- alliance S and alliance C The mistake of objective function of the process of the objective function of oneself with successively executing oneself between the alliance is successively executed between alliance Cheng Xiangtong.
4. a kind of method of cooperation optimization overlay network performance according to claim 2, it is characterised in that: the step (201) in, the calculation method of the alliance target function sets is genetic algorithm.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103578280A (en) * 2013-10-12 2014-02-12 西安理工大学 Traffic flow monitoring system based on Internet of Things and vehicle monitoring method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060206586A1 (en) * 2005-03-09 2006-09-14 Yibei Ling Method, apparatus and system for a location-based uniform resource locator

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103578280A (en) * 2013-10-12 2014-02-12 西安理工大学 Traffic flow monitoring system based on Internet of Things and vehicle monitoring method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A coalitional game approach on improving interactions in multiple overlay environments;廖建新 等;《Computer Networks》;20150720;全文
基于环覆盖网络的端系统组播方法;袁平鹏等;《计算机工程》;20090820(第16期);全文

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