CN114710199A - SDN-based dynamic deployment method and system for multiple controllers of satellite network - Google Patents
SDN-based dynamic deployment method and system for multiple controllers of satellite network Download PDFInfo
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Abstract
The invention discloses a satellite network multi-controller dynamic deployment method and a system based on SDN, which comprises the steps of constructing a satellite network architecture based on SDN; acquiring global load information of the LEO satellite network, and judging the load state of the LEO satellite network based on three thresholds; if the LEO satellite network is in an overall overload state, a local overload state or an underload state, making a migration strategy based on the load state of the LEO satellite network; if the LEO satellite network is in a normal state, outputting LEO satellite network information; performing dynamic migration based on a migration strategy; updating the mapping relation between a LEO satellite switch node and a LEO satellite controller node in the LEO satellite network to obtain the current LEO satellite network; judging the load state of the current LEO satellite network based on the three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state; and if the LEO satellite network is in an abnormal state, repeating the steps until the load state of the current LEO satellite network is in a normal state.
Description
Technical Field
The invention relates to the technical field of satellite networks, in particular to a satellite network multi-controller dynamic deployment method and system based on an SDN.
Background
The satellite network has the characteristics of huge system structure, large quantity and wide distribution of satellites, flexible and changeable network topology and the like; a Software Defined Network (SDN) is a flexible, programmable, and centrally controlled novel Network architecture, and mainly includes a control plane, a data plane, and an application plane, where the SDN basic architecture is shown in fig. 1, and the SDN decouples the control plane and the data plane, and can allocate Network resources in a global view, and make an effective resource allocation policy; the control plane, as a core component of the SDN architecture, is typically composed of one or more controllers; the data plane comprises hardware forwarding equipment such as a simple switch and the like, and the data plane equipment receives a decision instruction from an upper control plane through a southbound interface and performs corresponding data forwarding and processing according to a flow rule issued by the control plane; when the forwarding device receives a data Packet, a local flow table is checked first, a corresponding flow table item is searched, if the flow table item exists and matching is successful, forwarding is carried out according to a corresponding forwarding path, if matching is failed, Packet-in request information is encapsulated and sent to the controller, then communication is carried out between the controllers, a corresponding forwarding strategy is searched, Packet-out information is encapsulated and returned to the switch, and in addition, the data plane returns data such as current network state, statistical information and the like to the control plane through a southbound interface.
The SDN technology is applied to the satellite network, so that the advantages of simplifying the function of satellite nodes, enhancing the control capability of the satellite network, reducing the network maintenance and construction cost and realizing flexible management of network resources are achieved, the problems of satellite network topology time variation, frequent change of inter-satellite links, limited satellite resources and the like can be relieved when the SDN technology is applied to the satellite network, the functional requirements of a space network can be better met, a control plane can obtain the global view of the satellite network and flexibly control the satellite network, the satellite nodes can be separated to control and forward functions, and the complexity of satellite-borne equipment is reduced; meanwhile, the satellite controller node can monitor the change of the network node in real time and master the load condition of the satellite network at any time.
At present, in a satellite network multi-controller deployment research based on an SDN, analysis is mainly performed from two angles of controller static deployment and controller dynamic deployment; the static deployment method of the satellite network multi-controller does not consider the dynamic changes of network flow and topology, always considers that the flow and the network structure of the network are consistent with the initial time, can ensure that the network performance under a certain state is optimal, but cannot achieve the optimal overall performance, cannot cope with the phenomenon of flow sharp increase and controller capacity insufficiency caused by the sudden task of the spatial information network, causes the phenomenon of the whole network paralysis due to the stagnation of the controller, and invisibly threatens the safety and reliability of the network, thereby influencing the performance of the whole network; the dynamic deployment method of the satellite network multi-controller can actively cope with the phenomena of uneven network flow distribution and uneven controller load generated when the satellite data flow is violently changed under different network user and service requirements.
Due to the fact that the current traditional dynamic deployment method of the SDN-based satellite network multi-controller cannot adapt to the topological change of the current LEO satellite network when dealing with the severe change of the data traffic of the satellite network, part of LEO satellite controller nodes may have abnormal states such as an overall overload state, a local overload state and an underload state; when the LEO satellite controller node is overloaded integrally or locally, the performance of the LEO satellite controller node is impacted, and the related data of the LEO satellite switch node cannot be processed normally, so that the processing performance of the whole satellite network is influenced; when the LEO satellite controller node is under-loaded, the processing capacity of the LEO satellite controller node cannot be reasonably used, and the waste of satellite resources is caused.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a dynamic deployment method for multiple controllers of a satellite network based on SDN, which deploys a master controller in the satellite network at a ground station, a zone controller at a GEO satellite, and a part of LEO satellites at slave controllers based on a satellite network architecture of SDN; the method readjusts the division of a satellite control domain according to the flow change of a satellite network, adopts a three-threshold switch migration strategy, dynamically changes the mapping relation between LEO satellite controller nodes and switch nodes by dynamically migrating LEO satellite switch nodes, solves the problem of uneven distribution of the current satellite network flow, and improves the resource utilization rate of the satellite nodes, the service quality and the processing performance of the satellite network.
The invention further provides a satellite network multi-controller dynamic deployment system based on the SDN.
The first technical scheme adopted by the invention is as follows: a dynamic deployment method of a satellite network multi-controller based on an SDN comprises the following steps:
s100: constructing a satellite network architecture based on an SDN;
s200: acquiring global load information of the LEO satellite network, and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises a whole overload state, a local overload state, an underload state and a normal state;
s300: if the LEO satellite network is in an overall overload state, a local overload state or an underload state, making a migration strategy based on the load state of the LEO satellite network; if the LEO satellite network is in a normal state, outputting LEO satellite network information;
s400: performing dynamic migration based on the migration policy;
s500: updating the mapping relation between a LEO satellite switch node and a LEO satellite controller node in the LEO satellite network to obtain the current LEO satellite network;
s600: judging the load state of the current LEO satellite network based on the three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state; and if the load state of the current LEO satellite network is not in the normal state, repeating the steps S200-S500 until the load state of the current LEO satellite network is in the normal state.
Preferably, the step S200 includes:
judging whether the load of the LEO satellite network is greater than a first threshold or not based on the global load information of the LEO satellite network, and if so, judging that the LEO satellite network is in an overall overload state;
if the load is smaller than the first threshold, further judging whether the load of any LEO satellite controller node is larger than a second threshold, and if the load is larger than the second threshold, judging that the LEO satellite network is in a local overload state;
if the load is smaller than the second threshold, further judging whether the load of any LEO satellite controller node is smaller than a third threshold, and if the load is smaller than the third threshold, judging that the LEO satellite network is in an underload state;
and if the second threshold is larger than the third threshold, judging that the LEO satellite network is in a normal state.
Preferably, the step S300 includes: if the LEO satellite network is in an overall overload state, making the following migration strategies:
s311: adding a LEO satellite controller node, and determining the overloaded LEO satellite controller node as a migration LEO satellite controller node;
s312: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s313: constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to determine the position of a node of the newly added LEO satellite controller; and using the newly added LEO satellite controller node as a target domain.
Preferably, the step S300 includes: if the LEO satellite network is in a local overload state, the following migration strategies are made:
s321: screening any overloaded LEO satellite controller node, and determining the overloaded LEO satellite controller node as a migration LEO satellite controller node;
s322: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s323: and constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to select a proper satellite controller node as a target domain.
Preferably, the step S300 includes: if the LEO satellite network is in an underload state, the following migration strategies are formulated:
s331: screening out any underloaded LEO satellite controller node, and determining the underloaded LEO satellite controller node as a migration LEO satellite controller node;
s332: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s333: and constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to select a proper satellite controller node as a target domain.
Preferably, the preferential mobility is represented by the following formula:
in the formula, QjFor LEO satellite switch nodes sjA preferential mobility; lambda [ alpha ]jFor migrating LEO satellite switch nodes sjThe data stream request rate; d is a radical ofijFor migrating LEO satellite switch nodes sjAnd migrating LEO satellite controllerNode ciThe shortest distance therebetween; f. ofiFor LEO satellite controller ciThe processing power of (1).
Preferably, the objective function is represented by the following formula:
Wmin＝α×BL+β×newcost+γ×newTa
in the formula, WminThe method comprises the following steps of obtaining a minimum value of a load balance parameter based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and LEO satellite network after migration; BL is a load balancing parameter of the LEO satellite network after migration; newcost is a value obtained after the LEO satellite network migration overhead is normalized; newTaNormalizing the time delay of the LEO satellite control link after the migration; alpha, beta and gamma are different weights of LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balancing parameters of the LEO satellite network after migration respectively, alpha + beta + gamma is 1, alpha is more than or equal to 0, beta is more than or equal to 1, and gamma is less than or equal to 1.
Preferably, the objective function is solved by adopting a whale optimization algorithm and a simulated annealing algorithm.
Preferably, the step S400 includes:
the method comprises the steps that a migration LEO satellite controller node selects a LEO satellite switch node to be migrated, a migration rule is deployed to the LEO satellite switch node to be migrated, the LEO satellite switch node to be migrated sends a request to a target domain, the target domain receives the request of the LEO satellite switch node to be migrated, and the LEO satellite switch node to be migrated is migrated to the position below the target domain;
and if the LEO satellite network is in an underload state, after the LEO satellite switch node to be migrated is migrated to the target domain, closing the underload LEO satellite controller node.
The second technical scheme adopted by the invention is as follows: a satellite network multi-controller dynamic deployment system based on an SDN comprises a satellite network construction module, a load state judgment module, a migration strategy formulation module, a migration module, an update module and a judgment module;
the satellite network construction module is used for constructing a satellite network architecture based on an SDN;
the load state judging module is used for acquiring global load information of the LEO satellite network and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises a whole overload state, a local overload state, an underload state and a normal state;
the migration strategy making module is used for making a migration strategy based on the load state of the LEO satellite network when the LEO satellite network is in an overall overload state, a local overload state or an underload state, and outputting LEO satellite network information when the LEO satellite network is in a normal state;
the migration module is used for performing dynamic migration based on the migration strategy;
the updating module is used for updating the mapping relation between the LEO satellite switch node and the LEO satellite controller node in the LEO satellite network so as to obtain the current LEO satellite network;
the judging module is used for judging the load state of the current LEO satellite network based on three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state.
The beneficial effects of the above technical scheme are that:
(1) the invention discloses a satellite network multi-controller dynamic deployment method based on an SDN (software defined network). in the satellite network architecture based on the SDN, a main controller in a satellite network is deployed at a ground station, a zone controller is deployed at a GEO (geostationary orbit) satellite, and part of LEO satellites are deployed from a sub controller; the invention mainly researches the dynamic deployment of the controller of the LEO satellite network by means of the iridium satellite network topology.
(2) The invention discloses a SDN-based satellite network multi-controller dynamic deployment method, which is used for readjusting the division of a satellite control domain according to the flow change of a satellite network, adopts a 'three-threshold' switch migration strategy, dynamically migrates LEO satellite switch nodes, and dynamically changes the mapping relation between the LEO satellite controller nodes and the switch nodes, solves the problem of uneven distribution of the current satellite network flow, and improves the resource utilization rate of the satellite nodes and the service quality and the processing performance of the satellite network.
(3) Aiming at the deployment problem of LEO satellite controller nodes, the SDN-based satellite network multi-controller dynamic deployment method adopts a three-threshold switch migration strategy, uses an algorithm combining a whale optimization algorithm and a simulated annealing algorithm through a switch migration mechanism, aims at optimizing the migration overhead of a network, satellite control link delay and load balance, and dynamically changes the mapping relation between a controller and a switch, thereby meeting the normal satellite communication requirement.
(4) The invention discloses a SDN-based dynamic deployment method for multiple controllers of a satellite network, which solves the problem of dynamic deployment of the controllers in the overall overload state, the local overload state and the underload state of the satellite network when data traffic of the satellite network is suddenly changed when different network users, service requirements, tasks and the like are changed.
(5) In the research of introducing the SDN into a satellite network, a control plane is deployed in a distributed deployment mode, a master controller is deployed at a ground station, a zone controller is deployed at a GEO satellite, and slave controllers are deployed at partial LEO satellites; the characteristics of short transmission delay, large quantity, rich application scenes and the like of an LEO satellite in the satellite network are comprehensively considered, the flexibility of satellite network management is further improved, and high-efficiency and high-standard services can be provided for users.
Drawings
Figure 1 is a basic architecture diagram of an SDN;
fig. 2 is a schematic flowchart of a dynamic deployment method of a satellite network multi-controller based on SDN according to an embodiment of the present invention;
fig. 3 is a flowchart of a dynamic deployment method of a satellite network multi-controller based on SDN according to an embodiment of the present invention;
fig. 4 is a detailed process schematic diagram of a method for dynamically deploying a multiple controller in a satellite network based on an SDN according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a SDN-based satellite network multi-controller dynamic deployment system according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following detailed description of the embodiments and the accompanying drawings are provided to illustrate the principles of the invention and are not intended to limit the scope of the invention, which is defined by the claims, i.e., the invention is not limited to the preferred embodiments described.
In the description of the present invention, it is to be noted that, unless otherwise specified, "a plurality" means two or more; the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance; the specific meaning of the above terms in the present invention can be understood as appropriate to those of ordinary skill in the art.
Example one
Fig. 2, fig. 3 and fig. 4 are diagrams of an embodiment of the present invention, which are a method for dynamically deploying a satellite network multi-controller based on an SDN, according to a LEO satellite network topology, and mainly include the following steps:
s100: constructing a satellite network architecture based on an SDN;
deploying a master controller in a satellite network at a ground station, deploying a region controller at a GEO satellite, and deploying part of LEO satellites at slave controllers; researching the dynamic deployment of a controller of an LEO satellite network by means of an iridium satellite network topology;
the method uses an iridium network topology to research the deployment problem of the LEO satellite network controller, wherein the network topology consists of 6 polar earth orbits, 11 satellites on each orbit and 66 LEO satellites in total, the orbital planes are spaced by 30 degrees, the orbital height is 781 kilometers, and the orbital inclination angle is 86.4 degrees; according to the invention, 66 LEO satellites are regarded as LEO satellite switch nodes, in-band deployment refers to the fact that the controller is deployed on the LEO satellite switch nodes, the propagation delay of the LEO satellite switch nodes with the controller deployed is negligible, in addition, a control link generated by the deployment mode is overlapped with a data link, and the information transmission process is not influenced mutually.
S200: acquiring global load information of the LEO satellite network, and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises an overall overload state, a local overload state, an underload state and a normal state;
load monitoring is carried out on LEO satellite controller nodes, global load information of a LEO satellite network is obtained, whether the global load of the LEO satellite network is greater than a first threshold (integral overload threshold) or not is judged based on the global load information of the LEO satellite network, and if the global load is greater than the first threshold, the LEO satellite network is judged to be in the integral overload state; if the load of any LEO satellite controller node is smaller than the first threshold, further judging whether the load of any LEO satellite controller node is larger than a second threshold (a local overload threshold), if so, judging that the LEO satellite network is in a local overload state, if so, further judging whether the load of any LEO satellite controller node is smaller than a third threshold (an underload threshold), if so, judging that the LEO satellite network is in an underload state, and if so, judging that the LEO satellite network is in a normal state and outputting LEO satellite network information;
wherein the first threshold is
When greater than the first threshold, i.e.
When the load is not the same as the load of the LEO satellite network, indicating that the overall overload phenomenon occurs to the global load of the LEO satellite network;
when less than the first threshold, i.e.
Then, a determination is made based further on the second threshold.
The second threshold is ri＝0.8，
When greater than the second threshold, i.e. when
ri>When the load is 0.8, the local overload phenomenon of the global load of the LEO satellite network is indicated;
when less than the second threshold, i.e. when
ri<When 0.8, further judging based on a third threshold;
wherein i is a satellite controller node c in the LEO satellite controller node seti；
C＝{c1,..,ci,..,cmIs the set of LEO satellite controller nodes.
The third threshold is ri＝0.2，
When less than the third threshold, i.e. when
ri<When the node load is 0.2, indicating that the LEO satellite network has an underload phenomenon of partial LEO satellite controller nodes;
when greater than the third threshold, i.e. when
0.2<ri<And 0.8, the LEO satellite network is in a normal state.
Wherein,
in the formula, riFor LEO satellite controller node ciThe ratio of the data flow request rate of all LEO satellite switch nodes in the control domain range to the processing capacity of an LEO satellite controller; lambda [ alpha ]jFor LEO satellite exchange node sjThe data stream request rate; hijFor LEO satellite controller node ciWith LEO satellite exchange node sjThe connection relationship of (1); f. ofiFor LEO satellite controller node ciThe processing power of (a); j is in LEO satellite switch node setA satellite switch node sj；S＝{s1,…,sj,…snThe method comprises the steps that (1) a set of satellite switch nodes in an LEO network is obtained;
the resource utilization condition of the current LEO satellite controller node is reflected for the average resource utilization rate of the whole LEO satellite network controller node; m is the number of LEO satellite controller nodes.
S300: if the LEO satellite network is in an overall overload state, a local overload state or an underload state, making a migration strategy based on the load state of the LEO satellite network; if the LEO satellite network is in a normal state, outputting LEO satellite network information;
the method for realizing the satellite switch node migration strategy according to the load state of the LEO satellite network comprises the following steps:
the normal state: the normal state represents that the global load state of the current LEO satellite network is normal, and the satellite switch node does not need to be migrated at the moment;
secondly, the whole overload state: the overall overload state means that when the flow of the whole LEO satellite network is overloaded, deployed LEO satellite controller nodes cannot normally process network data, the whole LEO satellite network is overloaded and may show a phenomenon of 'paralysis', and at the moment, LEO satellite controller nodes need to be added, namely, in the overall overload state, the LEO satellite controller nodes in the LEO satellite network cannot process data generated by the whole network, part of LEO satellite controller nodes need to be added, and part of satellite switch nodes in other satellite control domains need to be moved to the newly added LEO satellite control domains;
③ local overload state: the local overload state represents that the current LEO satellite network controller node can process satellite data from the network overall view, but part of LEO satellite controller nodes have overload phenomenon and cannot process data successfully, and at the moment, the overloaded LEO satellite controller node needs to be screened out, and the load of the LEO satellite controller node is reduced by a method of migrating the LEO satellite switch node in the control domain of the overloaded satellite controller; when a local overload state occurs, the LEO satellite switch nodes in the control domain of the overload controller are transferred to the control domains of other LEO satellite controller nodes by judging the condition of the overload LEO satellite controller nodes;
fourthly, underload state: starting from the resource utilization rate of an LEO satellite network, due to the occurrence of an underload phenomenon, partial satellite resources are wasted, and at the moment, the nodes of partial LEO satellite controllers are considered to be dormant or closed, and LEO satellite switch nodes under the LEO satellite controller nodes are migrated to other control domains within the processing capacity range of other LEO satellite controller nodes; i.e., by migrating a satellite switch node within the control domain of an underloaded LEO satellite controller node to the control domain of other LEO satellite controller nodes and then shutting down the LEO satellite controller node.
If the LEO satellite network is in a global overload state, a local overload state or an underload state, then formulating a migration strategy based on the load state of the LEO satellite network comprises:
(1) if the LEO satellite network is in the overall overload state, executing an overall overload threshold mechanism:
s311: adding a LEO satellite controller node, and determining the overloaded LEO satellite controller node as a migration LEO satellite controller node;
s312: selecting LEO satellite switch nodes to be migrated from the satellite switch nodes in the migrated LEO satellite controller nodes based on the preferential migration rate;
s313: after LEO satellite switch nodes to be migrated are determined, an objective function is constructed based on LEO satellite network migration overhead, time delay of LEO satellite control links after migration and load balance of the LEO satellite network after migration, the objective function is solved by using a hybrid algorithm combining a whale optimization algorithm and a simulated annealing algorithm, and therefore the position of the optimal LEO satellite controller node to be newly added is determined; and taking the newly added LEO satellite controller node as a target domain.
(2) If the LEO satellite network is in a local overload state, executing a local overload threshold mechanism:
s321: screening out any overload LEO satellite controller node, and determining the overload LEO satellite controller node as a migration LEO satellite controller node;
s322: selecting LEO satellite switch nodes to be migrated from the satellite switch nodes in the migrated LEO satellite controller nodes based on the preferential migration rate;
s323: after LEO satellite switch nodes to be migrated are determined, an objective function is constructed based on LEO satellite network migration overhead, post-migration LEO satellite control link delay and load balance of the post-migration LEO satellite network, the objective function is solved by using a hybrid algorithm combining a whale optimization algorithm and a simulated annealing algorithm, and appropriate satellite controller nodes are selected as target domains.
(3) If the LEO satellite network is in an underloaded state, executing an underloaded threshold mechanism:
s331: screening out any LEO satellite controller node with underload, and locking the underloaded LEO satellite controller node as a migration LEO satellite controller node;
s332: selecting LEO satellite switch nodes to be migrated from the satellite switch nodes in the migrated LEO satellite controller nodes based on the preferential migration rate;
s333: after LEO satellite switch nodes to be migrated are determined, an objective function is constructed based on LEO satellite network migration cost, time delay of LEO satellite control links after migration and load balance of the LEO satellite network after migration, the objective function is solved by using a hybrid algorithm combining a whale optimization algorithm and a simulated annealing algorithm, and appropriate satellite controller nodes are selected as target domains.
After determining the LEO satellite controller node to be migrated in steps S212, S222, and S232, selecting a LEO satellite switch node to be migrated from the satellite switch nodes in the migrated LEO satellite controller node based on the priority migration rate specifically includes:
after determining the migration LEO satellite controller node, considering how to select a migration satellite switch node; when the LEO satellite controller node has heavier load, generally, the satellite switch node with the largest data migration request rate is most suitable, but the satellite switch node with the largest request rate is considered to be migrated, and the load condition of a target domain of the LEO satellite controller node and the processing capacity of the LEO satellite controller node are required to be judged; the satellite switch nodes with higher request rate have larger influence on the disturbance of satellite network transmission, and the interaction time is longer; on the other hand, the larger request rate increases the load pressure of the target domain of the satellite controller, and the phenomenon of insufficient processing capacity may exist; therefore, in terms of disturbance influence on a satellite network, the invention preferentially selects the edge satellite switch node which has smaller migration request rate and is far away from the migration controller node;
the invention integrates the load of an LEO satellite controller and the link distance, and provides the concept of LEO satellite switch node priority mobility, wherein the satellite switch node with higher priority mobility is migrated earlier with higher priority; therein, LEO satellite exchanger node sjPreferential mobility represents QjThe following were used:
in the formula, QjFor LEO satellite switch nodes sjA preferential mobility; lambda [ alpha ]jFor migrating LEO satellite switch nodes sjThe data stream request rate; dijFor migrating LEO satellite switch nodes sjAnd migrating LEO satellite controller node ciThe shortest distance therebetween; f. ofiFor LEO satellite controllers ciThe processing power of (2).
Request rate when LEO satellite switch (i.e. LEO satellite switch node s)jRequest rate lambda of data streamj) The smaller, the link distance (i.e. LEO satellite switch node s)jAnd LEO satellite controller node ciShortest distance dij) The larger, QjThe larger the description sjThe higher the priority, the LEO satellite switch node sjFirst slave LEO satellite controller node ciIs migrated.
After determining the LEO satellite switch node to be migrated in steps S213, S223, and S233, further selecting a target domain based on LEO satellite network migration overhead, post-migration LEO satellite control link delay, and post-migration LEO satellite network load balancing specifically:
selecting a target domain, namely solving the problem of the LEO satellite switch node to be migrated to which the target domain is to be migrated, and selecting a proper LEO satellite controller node to control the LEO satellite switch node to be migrated; the selection of the target domain is mainly related to the satellite network migration overhead, the satellite control link time delay after migration and the load balance parameters of the satellite network after migration;
(1) satellite network migration overhead
The migration cost of the LEO satellite switch node mainly comprises LEO satellite network communication cost and LEO satellite migration rule deployment cost; when LEO satellite switch nodes are migrated, a migration request is generated, LEO satellite communication overhead exists, and the premise that the LEO satellite switch nodes realize migration is that LEO satellite controller nodes deploy migration rules into a flow table of the migrated LEO satellite switch nodes, and LEO satellite migration rule deployment overhead is generated; namely, the LEO satellite network migration overhead is expressed as: cost is defined as costcom+costruleWherein the cost is LEO satellite network migration costcomCost for LEO satellite communicationsruleDeploying overhead for LEO satellite migration rules;
LEO satellite communication overhead mainly includes two aspects: the method comprises the steps of firstly, spending generated by establishing a communication relation between a LEO satellite switch node to be migrated and a migrated LEO satellite controller node, and secondly, communication spending between the LEO satellite switch node to be migrated and a target domain and LEO satellite communication spending cost when migration is requestedcomIs represented as follows:
in the formula, costcomOverhead for LEO satellite communications; dijFor migrating LEO satellite switch nodes sjAnd migrating LEO satellite controller node ciThe shortest distance therebetween; dwjFor migrating LEO satellite switch nodessjAnd target domain cwThe shortest distance therebetween; lambda [ alpha ]jFor migrating LEO satellite switch nodes sjThe data stream request rate of;
LEO satellite migration rule deployment overhead costruleExpressed as:
costrule＝ξ×dij×Hij
in the formula, costruleDeploying overhead for LEO satellite migration rules; ξ is the average size of the flow _ mod flow rule packet; dijFor migrating LEO satellite switch nodes sjAnd migrating LEO satellite controller node ciThe shortest distance therebetween; hijFor migrating LEO satellite controller node ciAnd migration LEO satellite switch node sjThe connection relation of (2); the LEO satellite migration rule deployment overhead is only related to the LEO satellite switch node being migrated.
(2) LEO satellite control link time delay after migration
The control link time delay of the migrated LEO satellite mainly comprises inter-satellite link propagation time delay, network queuing time delay and LEO satellite task processing time delay from a LEO satellite switch node in a control domain of the migrated LEO satellite controller to a LEO satellite controller node;
in the formula, TaControlling link delay for the migrated LEO satellite; t is a unit ofiFor LEO satellite controller node ciTotal delay in the control domain of (1); tcc is the total propagation delay between controller nodes in the whole LEO satellite network; t is a unit ofqiFor LEO satellite controller node ciControlling queuing delay in the domain;
for LEO satellite controller node ciThe processing delay of (2);
for LEO satellite controller node ciPropagation delay with LEO satellite switch nodes.
(3) Load balancing parameters of post-migration LEO satellite network
The difference degree of LEO satellite controller node loads can be evaluated through LEO satellite network load balancing parameters, the difference degree of the loads of all LEO satellite controller nodes and the average load of the whole network LEO satellite controller nodes is calculated by adopting a variance method, the closer the result is to 0, the more balanced the loads of all LEO satellite controller nodes are, the more the average load of the LEO satellite controller nodes is
Expressed as:
in the formula,
average load for LEO satellite controller nodes; m is the number of LEO satellite controller nodes;
for LEO satellite controller node ciThe load of (2);
then the load balancing parameters of the LEO satellite network after migration are expressed as:
in the formula, BL is a load balancing parameter of the LEO satellite network after migration;
average load for LEO satellite controller nodes; m is the number of LEO satellite controller nodes;
for LEO satellite controller node ciThe load of (2);
the selection problem of the migration LEO satellite switch target domain is the key point of the migration problem of the LEO satellite switch, and the target domain needs to be analyzed by integrating LEO satellite network migration overhead, time delay of a control link of a migrated LEO satellite and load balance parameters of the migrated LEO satellite network; in order to better balance three targets of LEO satellite network migration overhead, LEO satellite control link delay after migration and load balancing parameters of the LEO satellite network after migration, LEO satellite network migration overhead cost and LEO satellite control link delay T after migration are requiredaCarrying out normalization treatment, namely:
then the objective function WminIs defined as
Wmin＝α×BL+β×newcost+γ×newTa
In the formula, WminDetermining the selection of a target domain based on the minimum value of LEO satellite network migration overhead, the LEO satellite control link time delay after migration and the load balancing parameter of the LEO satellite network after migration; BL is a load balancing parameter of the LEO satellite network after migration; the newcost is a value obtained after the LEO satellite network migration cost is normalized; newTaNormalizing the time delay of the LEO satellite control link after the migration; alpha, beta and gamma are three numbers of 0-1 respectively, and represent different weights of LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balancing parameters of the LEO satellite network after migration respectively, wherein alpha + beta + gamma is 1, alpha is more than or equal to 0, beta is more than or equal to 1, and gamma is more than or equal to 1.
The Whale Optimization Algorithm (WOA) is a new swarm intelligence Optimization Algorithm, and has the advantages of simple structure, few parameters, strong searching capability, easiness in implementation and the like, but the Algorithm is easy to fall into local optimum; in consideration of the fact that the global search capability of the simulated annealing algorithm is strong, the whale optimization algorithm and the simulated annealing algorithm are combined to improve the global search capability of the algorithm; therefore, after the objective function is determined, a hybrid algorithm combining a whale optimization algorithm and a simulated annealing algorithm is used for solving, and a proper satellite controller node is selected as an objective domain.
Further, in one embodiment, the selection of the target domain also takes into account the reliability of the inter-satellite link.
The invention adopts a migration strategy of 'three-threshold' LEO satellite switch nodes, mainly solves the problem of uneven flow distribution of the current LEO satellite network by dynamically migrating the LEO satellite switch nodes, and comprises the conditions of overall overload of the LEO satellite network, local overload of the LEO satellite network and underload of partial satellite controller nodes in the LEO satellite network; the dynamic deployment strategy of the LEO satellite controller node is mainly realized by migrating the LEO satellite switch node under the LEO satellite controller node, the migration cost is generated in the migration process of the LEO satellite switch node, and the load and the network delay of the LEO satellite controller node are also changed before and after the migration; therefore, the invention takes the migration overhead, load balance and time delay as targets to formulate the LEO satellite switch node migration strategy.
S400: performing dynamic migration based on a migration strategy, namely migrating the LEO satellite switch nodes to be migrated to a target domain;
(1) if the LEO satellite network is in the overall overload state, executing the following migration operation:
and deploying a migration rule to a LEO satellite switch node to be migrated by the migration LEO satellite controller node (namely, the overloaded LEO satellite controller node), sending a request to a newly added LEO satellite controller node (target domain) by the LEO satellite switch node to be migrated, receiving the request of the LEO satellite switch node to be migrated by the newly added LEO satellite controller node, and migrating the selected LEO satellite switch node to be migrated to the newly added LEO satellite controller node to realize the dynamic migration of the LEO satellite switch node.
(2) If the LEO satellite network is in a local overload state, executing the following migration operation:
the method comprises the steps that a LEO satellite switch node to be migrated is selected by a LEO satellite controller node to be migrated (namely, the overloaded LEO satellite controller node), a migration rule is deployed to the LEO satellite switch node to be migrated, the LEO satellite switch node to be migrated sends a request to a target domain (a proper LEO satellite controller node), the target domain receives the request of the LEO satellite switch node to be migrated, and the selected LEO satellite switch node to be migrated is migrated to the target domain to achieve dynamic migration of the LEO satellite switch node.
(3) If the LEO satellite network is in an underload state, executing the following migration operation:
and the LEO satellite controller node to be migrated is selected (namely, the underloaded LEO satellite controller node), a migration rule is deployed to the LEO satellite switch node to be migrated, the LEO satellite switch node to be migrated sends a request to a target domain (a proper LEO satellite controller node), the target domain receives the request of the LEO satellite switch node to be migrated, the selected LEO satellite switch node to be migrated is migrated to the target domain, and the underloaded LEO satellite controller node is closed, so that the dynamic migration of the LEO satellite switch node is realized.
S500: updating the mapping relation between a LEO satellite switch node and a LEO satellite controller node in the LEO satellite network to obtain the current LEO satellite network;
after the LEO satellite switch nodes are migrated, the number of LEO satellite switch nodes in a control domain of the LEO satellite controller nodes, network load and other conditions are changed, so that the mapping relation between the LEO satellite switch nodes and the LEO satellite controller nodes in the LEO satellite network needs to be updated.
S600: after the LEO satellite network is updated, judging a LEO satellite controller node in the current LEO satellite network based on three threshold load monitoring modules, and if the load state of the current LEO satellite network is judged to be in a normal state, outputting related information of the current LEO satellite network; and if the load state of the current LEO satellite network is judged not to be in the normal state, repeating the steps S200-S500 until the load state of the current LEO satellite network is judged to be in the normal state.
Example two
Fig. 5 is a dynamic deployment system of a satellite network multi-controller based on an SDN according to an embodiment of the present invention, including a satellite network building module, a load state determining module, a migration policy making module, a migration module, an updating module, and a determining module;
the satellite network construction module is used for constructing a satellite network architecture based on the SDN;
the load state judging module is used for acquiring global load information of the LEO satellite network and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises an overall overload state, a local overload state, an underload state and a normal state;
the migration strategy making module is used for making a migration strategy based on the load state of the LEO satellite network when the LEO satellite network is in an overall overload state, a local overload state or an underload state, and outputting LEO satellite network information when the LEO satellite network is in a normal state;
the migration module is used for carrying out dynamic migration based on the migration strategy;
the updating module is used for updating the mapping relation between the LEO satellite switch node and the LEO satellite controller node in the LEO satellite network so as to obtain the current LEO satellite network;
the judging module is used for judging the load state of the current LEO satellite network based on the three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state.
The following description is made in connection with the present invention: firstly, the same LEO satellite switch node migration mode is adopted no matter what network state (overall overload state, local overload state or underload state); secondly, all LEO satellite switch nodes in the current network do not have failure phenomena; third, visible LEO satellites are ready to connect.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A dynamic deployment method of a satellite network multi-controller based on an SDN is characterized by comprising the following steps:
s100: constructing a satellite network architecture based on the SDN;
s200: acquiring global load information of the LEO satellite network, and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises a whole overload state, a local overload state, an underload state and a normal state;
s300: if the LEO satellite network is in an overall overload state, a local overload state or an underload state, making a migration strategy based on the load state of the LEO satellite network; if the LEO satellite network is in a normal state, outputting LEO satellite network information;
s400: performing dynamic migration based on the migration policy;
s500: updating the mapping relation between a LEO satellite switch node and a LEO satellite controller node in the LEO satellite network to obtain the current LEO satellite network;
s600: judging the load state of the current LEO satellite network based on the three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state; and if the load state of the current LEO satellite network is not in the normal state, repeating the steps S200-S500 until the load state of the current LEO satellite network is in the normal state.
2. The dynamic deployment method of the satellite network multi-controller according to claim 1, wherein the step S200 comprises:
judging whether the load of the LEO satellite network is greater than a first threshold or not based on the global load information of the LEO satellite network, and if so, judging that the LEO satellite network is in an overall overload state;
if the load is smaller than the first threshold, further judging whether the load of any LEO satellite controller node is larger than a second threshold, and if the load is larger than the second threshold, judging that the LEO satellite network is in a local overload state;
if the load is smaller than the second threshold, further judging whether the load of any LEO satellite controller node is smaller than a third threshold, and if the load is smaller than the third threshold, judging that the LEO satellite network is in an underload state;
and if the second threshold is larger than the third threshold, judging that the LEO satellite network is in a normal state.
3. The dynamic deployment method of multiple controllers in a satellite network according to claim 1, wherein the step S300 comprises: if the LEO satellite network is in an overall overload state, making the following migration strategies:
s311: adding LEO satellite controller nodes, and determining overloaded LEO satellite controller nodes as migration LEO satellite controller nodes;
s312: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s313: constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to determine the position of a node of the newly added LEO satellite controller; and using the newly added LEO satellite controller node as a target domain.
4. The dynamic deployment method of the satellite network multi-controller according to claim 1, wherein the step S300 comprises: if the LEO satellite network is in a local overload state, the following migration strategies are made:
s321: screening any overloaded LEO satellite controller node, and determining the overloaded LEO satellite controller node as a migration LEO satellite controller node;
s322: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s323: and constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to select a proper satellite controller node as a target domain.
5. The dynamic deployment method of the satellite network multi-controller according to claim 1, wherein the step S300 comprises: if the LEO satellite network is in an underload state, the following migration strategies are formulated:
s331: screening out any underloaded LEO satellite controller node, and determining the underloaded LEO satellite controller node as a migration LEO satellite controller node;
s332: selecting LEO satellite switch nodes to be migrated from the migrated LEO satellite controller nodes based on the priority migration rate;
s333: and constructing an objective function based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balance of the LEO satellite network after migration, and solving the objective function to select a proper satellite controller node as a target domain.
6. The dynamic deployment method of the satellite network multi-controller according to any one of claims 3 to 5, wherein the preferential mobility is expressed by the following formula:
in the formula, QjFor LEO satellite exchange node sjA preferential mobility; lambdajFor migrating LEO satellite switch nodes sjThe data stream request rate of; d is a radical ofijFor migrating LEO satellite switch nodes sjAnd migrating LEO satellite controller node ciThe shortest distance therebetween; f. ofiFor LEO satellite controller ciThe processing power of (1).
7. The dynamic deployment method of the satellite network multi-controller according to any one of claims 3 to 5, characterized in that the objective function is expressed by the following formula:
Wmin＝α×BL+β×newcost+γ×newTa
in the formula, WminThe method comprises the following steps of obtaining a minimum value of a load balance parameter based on LEO satellite network migration overhead, LEO satellite control link time delay after migration and LEO satellite network after migration; BL is a load balancing parameter of the LEO satellite network after migration;
newcost is a value obtained after the LEO satellite network migration overhead is normalized; newTaNormalizing the value of the time delay of the LEO satellite control link after migration; alpha, beta and gamma are different weights of LEO satellite network migration overhead, LEO satellite control link time delay after migration and load balancing parameters of the LEO satellite network after migration respectively, wherein alpha + beta + gamma is 1, alpha is more than or equal to 0, beta is more than or equal to 1, and gamma is less than or equal to 1.
8. The dynamic deployment method of the satellite network multi-controller as claimed in any one of claims 3 to 5, wherein the objective function is solved by whale optimization algorithm and simulated annealing algorithm.
9. The dynamic deployment method of the satellite network multi-controller according to any one of claims 3 to 5, wherein the step S400 comprises:
the method comprises the steps that a migration LEO satellite controller node selects a LEO satellite switch node to be migrated, a migration rule is deployed to the LEO satellite switch node to be migrated, the LEO satellite switch node to be migrated sends a request to a target domain, the target domain receives the request of the LEO satellite switch node to be migrated, and the LEO satellite switch node to be migrated is migrated to the position below the target domain;
and if the LEO satellite network is in an underload state, after the LEO satellite switch node to be migrated is migrated to the target domain, closing the underload LEO satellite controller node.
10. A satellite network multi-controller dynamic deployment system based on an SDN comprises a satellite network construction module, a load state judgment module, a migration strategy formulation module, a migration module, an update module and a judgment module;
the satellite network construction module is used for constructing a satellite network architecture based on an SDN;
the load state judging module is used for acquiring global load information of the LEO satellite network and judging the load state of the LEO satellite network based on three thresholds; the load state of the LEO satellite network comprises a whole overload state, a local overload state, an underload state and a normal state;
the migration strategy making module is used for making a migration strategy based on the load state of the LEO satellite network when the LEO satellite network is in an overall overload state, a local overload state or an underload state, and outputting LEO satellite network information when the LEO satellite network is in a normal state;
the migration module is used for performing dynamic migration based on the migration strategy;
the updating module is used for updating the mapping relation between the LEO satellite switch node and the LEO satellite controller node in the LEO satellite network so as to obtain the current LEO satellite network;
the judging module is used for judging the load state of the current LEO satellite network based on three thresholds, and outputting the related information of the current LEO satellite network if the load state of the current LEO satellite network is in a normal state.
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