CN108566242B - Spatial information network resource scheduling system for remote sensing data transmission service - Google Patents
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Abstract
The invention provides a spatial information network resource scheduling system for remote sensing data transmission service, which comprises a network resource scheduling module, a first data transmission module, a second data transmission module and a network resource competition module. The invention has the beneficial effects that: the spatial information network resource scheduling system for the remote sensing data transmission service is provided, network resources can be efficiently allocated in real time according to the characteristics of the remote sensing data transmission service, and meanwhile, the task completion rate, the user fairness and the network resource utilization rate are considered.
Description
Technical Field
The invention relates to the technical field of information, in particular to a spatial information network resource allocation mechanism for remote sensing data transmission service.
Background
The spatial information network is a space-ground integrated network formed by combining a satellite network formed by satellites in different fields and different orbits, such as remote sensing, navigation, weather, communication investigation and the like, with a ground target, and hot spot information is acquired, transmitted and processed in real time. Remote sensing data transmission network resources in a spatial information network are very limited, and in order to achieve the goal of 'real-time transmission and processing of hotspot information', a network resource allocation mechanism is needed to efficiently and reasonably allocate network resources so as to deliver data to users as quickly as possible, complete data transmission tasks as many as possible and serve users as many as possible.
Currently, some solutions have been proposed to the problem of remote sensing data transmission. One type of solution is to use a general heuristic algorithm. The core idea of the general heuristic algorithm is to search for a feasible solution by taking effective information of an optimization model as a basis, and express specific knowledge related to an optimization problem by using a heuristic function, so as to continuously approach the optimal solution. The general heuristic algorithm searches solution space according to heuristic information, has high efficiency in small-scale optimization problems, but as parameters of the optimization problems are increased continuously, the parameter dimension is increased continuously, and the general heuristic algorithm is easy to fall into local solutions. Another type of solution is to use an intelligent optimization algorithm, which is an optimization solution algorithm formed by simulating some processes in nature, such as a genetic algorithm, a simulated annealing algorithm, an artificial bee colony algorithm, etc. Some scholars transform the network resource scheduling problem into a general final ordering problem and then solve the problem with a common optimization algorithm. However, this solution is computationally intensive, and cannot handle a large number of bursty data transmission requests, and cannot allocate network resources in real time.
Under the environment of the spatial information network, compared with the traditional network system, the service provided by the spatial information network has the characteristics of typical relevance, periodicity, burstiness, sparsity and the like, and the remote sensing data transmission service source also has high dynamics and space-time relation complexity. The existing network resource allocation mechanisms aiming at the remote sensing data transmission service cannot adapt to the real remote sensing service scene, cannot allocate network resources in real time, and simultaneously considers the task completion rate, the user fairness and the network resource utilization rate.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a spatial information network resource scheduling system for remote sensing data transmission service.
The purpose of the invention is realized by adopting the following technical scheme:
the technical solution of the invention is provided: the system can efficiently allocate network resources in real time according to the characteristics of the remote sensing data transmission service, and simultaneously give consideration to the task completion rate, the user fairness and the network resource utilization rate.
The technical scheme of the invention is as follows: a spatial information network resource scheduling system for remote sensing data transmission service comprises a network resource scheduling module, a first data transmission module, a second data transmission module and a network resource competition module, wherein:
the network resource scheduling module is used for determining a network resource scheduling strategy and mechanism, and specifically comprises the following steps: determining a target of network resource scheduling, designing a strategy of network resource scheduling and a scheduling mechanism from an operation mechanism of a remote sensing satellite and a remote sensing data transmission service characteristic;
the first data transmission module is used for determining a data transmission task, and specifically comprises: planning a presumed data transmission task for the spatial information network node according to a data transmission request provided by the remote sensing satellite; the input of the remote sensing satellite tracking system is orbit parameters of all remote sensing satellites, antenna bandwidth, a buffering queue of satellite image data and a buffering queue of satellite data transmission tasks, and orbit information, the number of antennas, the antenna bandwidth and a data transmission task queue of all space information network nodes capable of providing network access service for the remote sensing satellites are output as a set of assumed data transmission tasks;
the second data transmission module is configured to determine a priority of a data transmission task, and specifically includes: calculating the priority of the data transmission task according to specific parameters in the data transmission task, and taking a throughput influence factor, a service quality influence factor and a bandwidth utilization ratio influence factor as three influence factors of the priority; the input of the data transmission task queue is the starting and ending time of the data transmission task, the data transmission task queue of the remote sensing satellite and the data transmission task queue of the space information network node, and the output of the data transmission task queue is a set of data transmission tasks with priorities;
the network resource competition module is used for determining network resources of a data transmission task, and specifically comprises the following steps: according to the priority parameters of the data transmission tasks, enabling all the data transmission tasks to compete for limited data transmission network resources according to a certain rule; the input of the system is a set of assumed data transmission tasks and a set of spatial information network antenna resources, and the output of the system is a set of effective data transmission tasks, namely a set of effective data transmission tasks generated by a network resource scheduling mechanism in the scheduling process of the round.
Optionally, the network resource scheduling policy and mechanism are specifically implemented as follows:
(1) network resource scheduling objective: the method comprises the steps of preferentially maximizing network throughput, minimizing data downloading time delay on the basis of ensuring throughput, wherein the data downloading time delay is the time spent by an image from the generation of a remote sensing satellite to the downloading of the image to a ground station terminal, and simultaneously ensuring user fairness so that all remote sensing satellites can fairly acquire remote sensing data transmission network resources;
(2) network resource scheduling policy: in the process of one-time data transmission, transmitting data as much as possible so as to maximize the utilization efficiency of network resources; the less the waste of network resources brought by the data transmission task, the higher the priority of the data transmission task; the longer the retention time of the remote sensing data on the remote sensing satellite is, the higher the priority of the data transmission request sent by the remote sensing satellite is; the more remote sensing data retained on the remote sensing satellite, the higher the priority of the task request sent by the remote sensing satellite;
(3) the overall operation process of the network resource scheduling mechanism is as follows: the remote sensing satellite periodically sends a data transmission request according to the condition of the remote sensing data buffered on the satellite; a network resource management center periodically plans a group of remote sensing data transmission tasks; the scheduling system firstly assumes that all data requests are legal and that all high-speed antennas of the backbone satellite can respond to the data transmission requests, and the first data transmission module generates an assumed data transmission task for each pair of the backbone satellite antennas-remote sensing satellite, so as to obtain an assumed set of data transmission tasks; the scheduling system calculates the priority of the data transmission tasks in the set according to the second data transmission module; and finally, the data transmission tasks in the set compete for limited antenna resources according to a mode determined by the network resource competition module to finally obtain a group of legal data transmission tasks, and the scheduling system assigns the data transmission tasks to the corresponding remote sensing satellite and the backbone satellite.
Optionally, the determining of the data transmission task is specifically implemented as follows:
(1) obtaining the next visible time window of the backbone satellite and the remote sensing satellite through the orbit information;
(2) obtaining the next serviceable time of the backbone satellite antenna through the backbone satellite antenna task queue;
(3) obtaining a next visible time window of the remote sensing satellite antenna through the remote sensing satellite antenna task queue;
(4) obtaining next available data transmission time windows of the backbone satellite and the remote sensing satellite through the visible time windows in the steps (2) and (3);
(5) calculating the data volume which can be transmitted by the next available data transmission time window and the data volume which needs to be transmitted on the remote sensing satellite, and taking the minimum value of the data volume and the data volume as the data volume to be transmitted;
(6) according to (5), a hypothetical data transfer task is obtained, the information of which includes the start-stop time, the downloaded image data, and the size of the image data.
Optionally, the specific implementation of determining the priority of the data transmission task is as follows:
(1) throughput impact factor: calculating the percentage of the data volume carried by the data transmission task in the total volume, and then multiplying the percentage by the number of the data transmission requests to obtain a throughput influence factor;
(2) quality of service impact factor: calculating the ratio of weighted average waiting time of an image data unit carried in a data transmission task on a remote sensing satellite to the orbit period of the remote sensing satellite, and taking the ratio as an index item of a natural number to obtain a service quality influence factor;
(3) bandwidth utilization factor: calculating the waiting time between the end of the last data transmission task and the start of the next data transmission task of the backbone satellite, comparing the orbit period of the remote sensing satellite with the waiting time, and then taking the logarithm of the waiting time to obtain a bandwidth utilization factor;
(4) and multiplying the influence factors in (1), (2) and (3) to obtain the priority of the data transmission task.
Optionally, the specific implementation of the determining the network resource of the data transmission task is as follows:
(1) distributing a priority queue for all backbone satellite antennas, distributing data transmission tasks in a data transmission task set obtained in a data transmission task generation algorithm to each queue according to corresponding antennas, and sequencing the data transmission tasks in the queues according to task priority in a reverse order;
(2) creating a set of legal data transmission tasks, and bringing the first data transmission task in each priority queue into the set;
(3) if a plurality of data transmission tasks planned for the same remote sensing satellite exist in the set, only the data transmission task with the highest priority is reserved, and meanwhile, a data transmission task is taken out from a priority queue corresponding to the deleted data transmission task and added into the set;
(4) and (3) repeating until all the priority queues are empty, and finally, the data transmission task in the set is a legal data transmission task.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic structural view of the present invention;
reference numerals:
the system comprises a network resource scheduling module 1, a first data transmission module 2, a second data transmission module 3 and a network resource competition module 4.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the present embodiment will be described in further detail with reference to the accompanying drawings and embodiments. These embodiments are described in sufficient detail to enable those skilled in the art to understand and practice the invention. Logical, implementation, and other changes may be made to the implementations without departing from the spirit and scope of the invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims.
The invention relates to a spatial information network resource scheduling system for remote sensing data transmission service, which comprises a network resource scheduling module 1, a first data transmission module 2, a second data transmission module 3 and a network resource competition module 4, wherein:
the network resource scheduling module 1 is configured to determine a network resource scheduling policy and mechanism, and specifically includes: determining a target of network resource scheduling, designing a strategy of network resource scheduling and a scheduling mechanism from an operation mechanism of a remote sensing satellite and a remote sensing data transmission service characteristic;
the first data transmission module 2 is configured to determine a data transmission task, and specifically includes: planning a presumed data transmission task for the spatial information network node according to a data transmission request provided by the remote sensing satellite; the input of the remote sensing satellite tracking system is orbit parameters of all remote sensing satellites, antenna bandwidth, a buffering queue of satellite image data and a buffering queue of satellite data transmission tasks, and orbit information, the number of antennas, the antenna bandwidth and a data transmission task queue of all space information network nodes capable of providing network access service for the remote sensing satellites are output as a set of assumed data transmission tasks;
the second data transmission module 3 is configured to determine a priority of a data transmission task, and specifically includes: calculating the priority of the data transmission task according to specific parameters in the data transmission task, and taking a throughput influence factor, a service quality influence factor and a bandwidth utilization ratio influence factor as three influence factors of the priority; the input of the data transmission task queue is the starting and ending time of the data transmission task, the data transmission task queue of the remote sensing satellite and the data transmission task queue of the space information network node, and the output of the data transmission task queue is a set of data transmission tasks with priorities;
the network resource competition module 4 is configured to determine a network resource of a data transmission task, and specifically includes: according to the priority parameters of the data transmission tasks, enabling all the data transmission tasks to compete for limited data transmission network resources according to a certain rule; the input of the system is a set of assumed data transmission tasks and a set of spatial information network antenna resources, and the output of the system is a set of effective data transmission tasks, namely a set of effective data transmission tasks generated by a network resource scheduling mechanism in the scheduling process of the round.
The embodiment provides a spatial information network resource scheduling system for remote sensing data transmission service, which can efficiently allocate network resources in real time according to the characteristics of the remote sensing data transmission service, and simultaneously give consideration to task completion rate, user fairness and network resource utilization rate.
Preferably, the network resource scheduling policy and mechanism are implemented as follows:
(1) network resource scheduling objective: the method comprises the steps of preferentially maximizing network throughput, minimizing data downloading time delay on the basis of ensuring throughput, wherein the data downloading time delay is the time spent by an image from the generation of a remote sensing satellite to the downloading of the image to a ground station terminal, and simultaneously ensuring user fairness so that all remote sensing satellites can fairly acquire remote sensing data transmission network resources;
(2) network resource scheduling policy: in the process of one-time data transmission, transmitting data as much as possible so as to maximize the utilization efficiency of network resources; the less the waste of network resources brought by the data transmission task, the higher the priority of the data transmission task; the longer the retention time of the remote sensing data on the remote sensing satellite is, the higher the priority of the data transmission request sent by the remote sensing satellite is; the more remote sensing data retained on the remote sensing satellite, the higher the priority of the task request sent by the remote sensing satellite;
(3) the overall operation process of the network resource scheduling mechanism is as follows: the remote sensing satellite periodically sends a data transmission request according to the condition of the remote sensing data buffered on the satellite; a network resource management center periodically plans a group of remote sensing data transmission tasks; the scheduling system firstly assumes that all data requests are legal and that all high-speed antennas of the backbone satellite can respond to the data transmission requests, and the first data transmission module 2 generates an assumed data transmission task for each pair of the backbone satellite antennas-remote sensing satellite, thereby obtaining an assumed set of data transmission tasks; the scheduling system calculates the priority of the data transmission tasks in the set according to the second data transmission module 3; and finally, the data transmission tasks in the set compete for limited antenna resources according to the mode determined by the network resource competition module 4, a group of legal data transmission tasks are finally obtained, and the scheduling system assigns the data transmission tasks to the corresponding remote sensing satellite and the backbone satellite.
Preferably, the task of determining data transmission is implemented as follows:
(1) obtaining the next visible time window of the backbone satellite and the remote sensing satellite through the orbit information;
(2) obtaining the next serviceable time of the backbone satellite antenna through the backbone satellite antenna task queue;
(3) obtaining a next visible time window of the remote sensing satellite antenna through the remote sensing satellite antenna task queue;
(4) obtaining next available data transmission time windows of the backbone satellite and the remote sensing satellite through the visible time windows in the steps (2) and (3);
(5) calculating the data volume which can be transmitted by the next available data transmission time window and the data volume which needs to be transmitted on the remote sensing satellite, and taking the minimum value of the data volume and the data volume as the data volume to be transmitted;
(6) according to (5), a hypothetical data transfer task is obtained, the information of which includes the start-stop time, the downloaded image data, and the size of the image data.
Preferably, the determining of the priority of the data transmission task is implemented as follows:
(1) throughput impact factor: calculating the percentage of the data volume carried by the data transmission task in the total volume, and then multiplying the percentage by the number of the data transmission requests to obtain a throughput influence factor;
(2) quality of service impact factor: calculating the ratio of weighted average waiting time of an image data unit carried in a data transmission task on a remote sensing satellite to the orbit period of the remote sensing satellite, and taking the ratio as an index item of a natural number to obtain a service quality influence factor;
(3) bandwidth utilization factor: calculating the waiting time between the end of the last data transmission task and the start of the next data transmission task of the backbone satellite, comparing the orbit period of the remote sensing satellite with the waiting time, and then taking the logarithm of the waiting time to obtain a bandwidth utilization factor;
(4) and multiplying the influence factors in (1), (2) and (3) to obtain the priority of the data transmission task.
Preferably, the specific implementation of the determining the network resource of the data transmission task is as follows:
(1) distributing a priority queue for all backbone satellite antennas, distributing data transmission tasks in a data transmission task set obtained in a data transmission task generation algorithm to each queue according to corresponding antennas, and sequencing the data transmission tasks in the queues according to task priority in a reverse order;
(2) creating a set of legal data transmission tasks, and bringing the first data transmission task in each priority queue into the set;
(3) if a plurality of data transmission tasks planned for the same remote sensing satellite exist in the set, only the data transmission task with the highest priority is reserved, and meanwhile, a data transmission task is taken out from a priority queue corresponding to the deleted data transmission task and added into the set;
(4) and (3) repeating until all the priority queues are empty, and finally, the data transmission task in the set is a legal data transmission task.
The above examples are provided only for the purpose of describing the present invention, and are not intended to limit the scope of the present invention. The scope of the invention is defined by the appended claims. Various equivalent substitutions and modifications can be made without departing from the spirit and principles of the invention, and are intended to be within the scope of the invention.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (4)
1. A spatial information network resource scheduling system for remote sensing data transmission service is characterized by comprising a network resource scheduling module, a first data transmission module, a second data transmission module and a network resource competition module, wherein:
the network resource scheduling module is used for determining a network resource scheduling strategy and mechanism, and specifically comprises the following steps: determining a target of network resource scheduling, designing a strategy of network resource scheduling and a scheduling mechanism from an operation mechanism of a remote sensing satellite and a remote sensing data transmission service characteristic;
the first data transmission module is used for determining a data transmission task, and specifically comprises: planning a presumed data transmission task for the spatial information network node according to a data transmission request provided by the remote sensing satellite; the input of the remote sensing satellite tracking system is orbit parameters of all remote sensing satellites, antenna bandwidth, a buffering queue of satellite image data and a buffering queue of satellite data transmission tasks, and orbit information, the number of antennas, the antenna bandwidth and a data transmission task queue of all space information network nodes capable of providing network access service for the remote sensing satellites are output as a set of assumed data transmission tasks;
the second data transmission module is configured to determine a priority of a data transmission task, and specifically includes: calculating the priority of the data transmission task according to specific parameters in the data transmission task, and taking a throughput influence factor, a service quality influence factor and a bandwidth utilization ratio influence factor as three influence factors of the priority; the input of the data transmission task queue is the starting and ending time of the data transmission task, the data transmission task queue of the remote sensing satellite and the data transmission task queue of the space information network node, and the output of the data transmission task queue is a set of data transmission tasks with priorities;
the network resource competition module is used for determining network resources of a data transmission task, and specifically comprises the following steps: according to the priority parameters of the data transmission tasks, enabling all the data transmission tasks to compete for limited data transmission network resources according to a certain rule; the input of the system is a set of data transmission tasks with priorities and a set of spatial information network antenna resources, and the output of the system is a set of effective data transmission tasks, namely a set of effective data transmission tasks generated by a network resource scheduling mechanism in the scheduling process of the round;
the specific implementation of the determining the network resource of the data transmission task is as follows:
(1) distributing a priority queue for all backbone satellite antennas, distributing data transmission tasks in a set of data transmission tasks with priorities obtained in a data transmission task generation algorithm to each queue according to corresponding antennas, and sequencing the data transmission tasks in the queues according to task priority in a reverse order;
(2) creating a set of legal data transmission tasks, and bringing the first data transmission task in each priority queue into the set of legal data transmission tasks;
(3) if a plurality of data transmission tasks planned for the same remote sensing satellite exist in the set of legal data transmission tasks, only the data transmission task with the highest priority is reserved, and meanwhile, one data transmission task is taken out from the priority queue corresponding to the deleted data transmission task and added into the set of legal data transmission tasks;
(4) and (3) repeating until all the priority queues are empty, and finally, the data transmission tasks in the legal data transmission task set are legal data transmission tasks.
2. The spatial information network resource scheduling system for remote sensing data transmission service according to claim 1, wherein the network resource scheduling policy and mechanism are implemented as follows:
(1) network resource scheduling objective: the method comprises the steps of preferentially maximizing network throughput, minimizing data downloading time delay on the basis of ensuring throughput, wherein the data downloading time delay is the time spent by an image from the generation of a remote sensing satellite to the downloading of the image to a ground station terminal, and simultaneously ensuring user fairness so that all remote sensing satellites can fairly acquire remote sensing data transmission network resources;
(2) network resource scheduling policy: in the process of one-time data transmission, transmitting data as much as possible so as to maximize the utilization efficiency of network resources; the less the waste of network resources brought by the data transmission task, the higher the priority of the data transmission task; the longer the retention time of the remote sensing data on the remote sensing satellite is, the higher the priority of the data transmission request sent by the remote sensing satellite is; the more remote sensing data retained on the remote sensing satellite, the higher the priority of the task request sent by the remote sensing satellite;
(3) the overall operation process of the network resource scheduling mechanism is as follows: the remote sensing satellite periodically sends a data transmission request according to the condition of the remote sensing data buffered on the satellite; a network resource management center periodically plans a group of remote sensing data transmission tasks; the scheduling system firstly assumes that all data requests are legal and that all high-speed antennas of the backbone satellite can respond to the data transmission requests, and the first data transmission module generates an assumed data transmission task for each pair of the backbone satellite antennas-remote sensing satellite, so as to obtain an assumed set of data transmission tasks; the scheduling system calculates the priority of the data transmission tasks in the set of the assumed data transmission tasks according to the second data transmission module; and finally, the data transmission tasks in the set compete for limited antenna resources according to a mode determined by the network resource competition module to finally obtain a group of legal data transmission tasks, and the scheduling system assigns the data transmission tasks to the corresponding remote sensing satellite and the backbone satellite.
3. The spatial information network resource scheduling system for remote sensing data transmission service according to claim 1, wherein the determining of the data transmission task is implemented as follows:
(1) obtaining the next visible time window of the backbone satellite and the remote sensing satellite through the orbit information;
(2) obtaining the next serviceable time of the backbone satellite antenna through the backbone satellite antenna task queue;
(3) obtaining a next visible time window of the remote sensing satellite antenna through the remote sensing satellite antenna task queue;
(4) obtaining next available data transmission time windows of the backbone satellite and the remote sensing satellite through the visible time windows in the steps (2) and (3);
(5) calculating the data volume which can be transmitted by the next available data transmission time window and the data volume which needs to be transmitted on the remote sensing satellite, and taking the minimum value of the data volume and the data volume as the data volume to be transmitted;
(6) according to (5), a hypothetical data transfer task is obtained, the information of which includes the start-stop time, the downloaded image data, and the size of the image data.
4. The spatial information network resource scheduling system for remote sensing data transmission service according to claim 1, wherein the determining of the priority of the data transmission task is implemented as follows:
(1) throughput impact factor: calculating the percentage of the data volume carried by the data transmission task in the total volume, and then multiplying the percentage by the number of the data transmission requests to obtain a throughput influence factor;
(2) quality of service impact factor: calculating the ratio of weighted average waiting time of an image data unit carried in a data transmission task on a remote sensing satellite to the orbit period of the remote sensing satellite, and taking the ratio as an index item of a natural number to obtain a service quality influence factor;
(3) bandwidth utilization factor: calculating the waiting time between the end of the last data transmission task and the start of the next data transmission task of the backbone satellite, comparing the orbit period of the remote sensing satellite with the waiting time, and then taking the logarithm of the waiting time to obtain a bandwidth utilization factor;
(4) and multiplying the influence factors in (1), (2) and (3) to obtain the priority of the data transmission task.
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| CN102780523A (en) * | 2012-07-31 | 2012-11-14 | 中国电子科技集团公司第五十四研究所 | Multi-satellite cooperative observation business scheduling method |
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