CN113377525A - Virtual cloud management platform for on-orbit space resources - Google Patents
Virtual cloud management platform for on-orbit space resources Download PDFInfo
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- CN113377525A CN113377525A CN202110304595.XA CN202110304595A CN113377525A CN 113377525 A CN113377525 A CN 113377525A CN 202110304595 A CN202110304595 A CN 202110304595A CN 113377525 A CN113377525 A CN 113377525A
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
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Abstract
The invention particularly relates to an on-orbit space resource-oriented virtual cloud management platform, which is used for solving the problems that satellite resources are insufficient and cannot be reasonably and effectively distributed. The satellite basic resources are divided into two modes of freely combining and scheduling and combining the basic resources in advance according to the application service function. The platform of the invention is used for distributing the resources of the two modes, and the resource distribution platform comprises: the system comprises a communication module, a request analysis module, a resource allocation module, a mirror image warehouse and a message bus. The communication module transmits the request of the terminal user to a corresponding satellite server and provides an application dynamic registration function; the request analysis module disassembles the request; the resource allocation module carries out corresponding resource scheduling according to the disassembled request mode; the message bus module transmits the required resources or results to the user side. The invention carries out resource scheduling according to different types of requirements of users, and realizes reasonable distribution of satellite resources.
Description
Technical Field
The invention relates to the field of satellite resource allocation, in particular to an on-orbit space resource-oriented virtual cloud management platform.
Background
With the advance of the important engineering project of 'world-wide integrated information network' in China, the rapid development of the commercial aerospace technology of the American spaceX company, the civil-camping satellite transmission becomes the current hot spot, and a plurality of companies at home and abroad begin to put forward and advance a satellite transmission plan. In 2019, the Federal Communications Commission (FCC) approved the transmission of SpaceX 1.2 ten thousand Starlink satellites and submitted 20 files to the International Telecommunications Union (ITU), which planned to transmit 3 thousand satellites and build the global satellite internet; in 2020, the national star aerospace announces that 1 million satellites will be launched within 10 years; in 1/6/2020, bilibilili also proposes to emit a remote sensing satellite named "beep-li video satellite" in the late ten days and provides customized image shooting service for users.
However, the current application of satellites is mostly limited to the experimental and theoretical stages of the country, military applications are likely to be implemented, and satellite commercial and civil applications have not yet formed a mature model. The space-based interconnected system is huge in construction and operation and maintenance cost, if the space-based interconnected system is solely dependent on the autonomous construction of the army, a large amount of national defense expenses are consumed, if the space-based interconnected system is solely dependent on one enterprise, fund flow is easy to break, and the difficulty in implementing main body decision is increased. How to effectively utilize satellite resources to make the satellite resources become a link in economic activities, and the cost is spread, so that comprehensive services are provided for users in all industries in the country, social benefits are really obtained from the comprehensive services, and the problem to be solved at present is formed. The method has the advantages that the commercial application mode of satellite resources is explored, the allocation effect of the market on the resources is fully exerted, the capital activities of civil enterprises and society are released, the capital pressure of constructing a space-based internet in China is relieved, meanwhile, the system risk is favorably diluted and dispersed, and the self-sustaining and benign development of the system is favorably ensured.
Disclosure of Invention
The invention designs an on-orbit space resource-oriented virtual cloud management platform, which is used for solving the problems that satellite resources are insufficient and cannot be reasonably and effectively distributed. The remote sensing satellite resources included by the satellite server can be decomposed into basic resources:
1. an imaging device: various remote sensing imaging devices
2. Storage resources:
3. computing resources
4. Communication resources: channel repeater or the like
The basic resources are divided into two combined modes, namely a first mode for freely combining and scheduling the basic resources and a second mode for combining the basic resources in advance according to the application service function.
The invention constructs a resource allocation platform facing satellite resource suppliers and users, which is used for allocating the resources of the two modes, and the resource allocation platform can be divided into the following modules: the system comprises a communication module, a request analysis module, a resource allocation module, a mirror image warehouse and a message bus.
The communication module is responsible for communication and message transmission of the satellite server and the ground user.
And the request analysis module disassembles the user request.
The resource allocation module is responsible for resource scheduling.
The mirror image warehouse is used for storing mirror images and providing mirror image uploading and downloading.
The message bus is responsible for the communication of all modules.
The communication module transmits the request of the terminal user to a corresponding satellite server and provides an application dynamic registration function;
the request analysis module disassembles the request; the resource allocation module carries out corresponding resource scheduling according to the disassembled request mode; the message bus module transmits the required resources or results to the user side.
Advantageous effects
The invention carries out resource scheduling according to different types of requirements of users, and realizes reasonable distribution of satellite resources.
Drawings
FIG. 1, a block diagram of the system of the present invention;
FIG. 2, basic container block diagram;
FIG. 3, application mirror block diagram;
Detailed Description
Transmitting user request to satellite resource server
The communication module transmits the terminal user request to the corresponding satellite server and provides functions of dynamic registration of the application and the like.
② request preprocessing/request parsing
The request analysis module disassembles the request into the following structure:
Style(01) | resourceId | amount | priority | period |
or is
Style (others) | resourceId | DATA (DATA required to be transferred) |
Wherein
Style: request type 01IAAS platform mode
And the 02 PAAS platform remotely senses and shoots 03 PAAS platform images for analysis.
resource id: specifying required resource types
01 imaging device 02 computing resources 03 storage resources 04 communication resources
amount specifies the amount of type of resource needed (amount, size, etc.)
priority specifies the priority of the request
Period indicates the time taken by the request
The resource allocation module allocates resources as follows:
the style on request is divided into two cases
The first case reads type 01: IAAS platform mode, only providing basic resource capable of freely combined scheduling
The second case reads in type 02: PAAS platform mode to provide directly composite application services
Suppose that a satellite is provided with a LINUX system host and an operating system is UBANTU
Mounting Docker on Ubuntu
1) First case request type 01IAAS platform mode
Polling available satellite resources based on type and size of requested resources
If each type of resource has a corresponding size free: hierarchically uploading containers to a mirror image warehouse by packaging and packaging equipment resources, storage resources, computing resources and communication resources into basic containers
If the server does not have a resource that can be returned to the client immediately: entering a waiting queue according to priority, and packaging equipment resources, storage resources, computing resources and communication resources into containers in a packaging mode to upload the containers to a mirror image warehouse when the resources are available
The uppermost layer of the container is readable and writable. When the resource capacity needs to be added, deleted and created, the previous polling steps only need to be repeated. And releasing the resources when the occupied time is up.
2) Second case 02: PAAS platform mode
And constructing an application mirror image cluster in advance, and packaging fixed-size resources and corresponding application algorithms into an unchangeable application mirror image group. Each set of images corresponds to an application service mode.
Uploading mirror to mirror repository Each mirror has a corresponding repository name and label (application name)
For example, the current style is 02 remote sensing shooting request, wherein the data can be time, place, parameter and shooting type selected by a user
Downloading and scheduling corresponding application images from an image warehouse according to the accessed application names
And transmitting the application algorithm to a resource manager algorithm, wherein the type and the size of the resource to be scheduled are specified in advance, and the application algorithm triggers a layer of downward polling to complete the scheduling of the satellite resource.
The entire mirror is overlaid by multiple read-only layers. Different layers are integrated into a file system by a uniform file system (union file system) technology, a uniform visual angle is provided for the layers, and a user only needs to access a request to an application interface.
And releasing the resources by self after the task is completed.
Part of the application service functions that the PAAS provider can provide are as follows:
customized shooting platform based on user-defined shooting control
Remote sensing video and picture data obtained by the satellite can be used for user-customized shooting. The functions of motion video shooting, celestial and aurora shooting, noctilucent remote sensing shooting and the like are realized.
The provider provides the present, multi-temporal and multi-directional full coverage remote sensing image data and the services of data online preview, online processing and downloading.
The method comprises the following specific implementation steps:
i enterprise provides and shoots control platform entry
II, selecting the time, the place, the parameters and the shooting type by the user
The corresponding interface of III is called
IV connects satellite remote sensing equipment
V satellite completes shooting task according to requirement
VII transmits the video and picture data back to the ground
Second, target monitoring platform based on image recognition algorithm environment
And (3) a container is pre-configured in the satellite, a basic environment related to image recognition is placed in the container, a calling interface is provided, and after the user rents the paas, specific functions can be developed based on the basic interface. In the aspect of environmental protection, the system can help enterprises monitor and monitor global marine and land resources all day long; the remote sensing service is applied to oceans, disaster reduction, water conservancy, meteorology and other fields, and provides important technical support for oceanographic monitoring, oceanographic equity maintenance, emergency disaster prevention and reduction and the like. In the aspect of smart cities, the method can be used for monitoring the configuration of people clusters in hot areas of the cities; monitoring of green plant coverage is configured in the overall range of a city.
The method comprises the following specific steps:
i user selection of image recognition function
II call corresponding interface to connect to satellite
III regularly acquiring remote sensing images
IV data preview
V identifying corresponding content/data processing
VI analytic data storage
VII user downloading transmission data
Transmitting the needed resource or result to the user end
The message bus module is responsible for message transmission, is the basis for communication between systems, and generally needs to support pub/sub mode.
Claims (3)
1. An on-orbit space resource-oriented virtual cloud management platform is used for managing two combined modes formed by satellite basic resources: the first mode, the free combination scheduling of the basic resource, the second mode, according to the application service function to the basic resource to make up in advance, characterized by that including: the system comprises a communication module, a request analysis module, a resource allocation module, a mirror image warehouse and a message bus; the communication module is responsible for communication and message transmission between the satellite server and the ground user; the request analysis module disassembles the user request; the resource allocation module is responsible for resource scheduling; the mirror image warehouse is used for storing mirror images and providing mirror image uploading and downloading; the message bus is responsible for the communication of all modules; the communication module transmits the request of the terminal user to a corresponding satellite server and provides an application dynamic registration function; the request analysis module disassembles the request; the resource allocation module carries out corresponding resource scheduling according to the disassembled request mode; the message bus module transmits the required resources or results to the user side.
2. The virtual cloud management platform for the on-orbit space resources of claim 1, wherein: for the first mode, the resource allocation module works as follows:
polling available satellite resources according to the type and size of the request resources;
if each type of resource has a corresponding size free: packaging and packaging equipment resources, storage resources, computing resources and communication resources into a basic container in a layered manner, and uploading the basic container to a mirror image warehouse;
if the server does not have a resource that can be returned to the client immediately: and entering a waiting queue according to the priority, and hierarchically uploading the device resources, the storage resources, the computing resources and the communication resources to a mirror image warehouse when the resources are available.
3. The virtual cloud management platform for the on-orbit space resources of claim 1, wherein: for the second mode, the resource allocation module works as follows:
constructing an application mirror image cluster in advance, and packaging fixed-size resources and corresponding application algorithms into an unalterable application mirror image group; each group of mirror images corresponds to an application service mode;
uploading the mirror images to mirror image warehouses, wherein each mirror image has a corresponding warehouse name and a corresponding label;
downloading and scheduling corresponding application images from an image warehouse according to the accessed application names
Transmitting the application algorithm to a resource manager, wherein the algorithm specifies the type and size of the resource to be scheduled in advance, and the application algorithm triggers a layer of downward polling to complete the scheduling of the satellite resource;
and releasing the resources by self after the task is completed.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104467945A (en) * | 2013-09-16 | 2015-03-25 | 中国人民解放军总参谋部第六十一研究所 | Virtual bus-based distributed asterism network resource management method |
CN107239329A (en) * | 2016-03-29 | 2017-10-10 | 西门子公司 | Unified resource dispatching method and system under cloud environment |
CN107404523A (en) * | 2017-07-21 | 2017-11-28 | 中国石油大学(华东) | Cloud platform adaptive resource dispatches system and method |
CN110865881A (en) * | 2018-08-27 | 2020-03-06 | 中移(苏州)软件技术有限公司 | Resource scheduling method and device |
CN111221624A (en) * | 2019-12-31 | 2020-06-02 | 中国电力科学研究院有限公司 | Container management method for regulation cloud platform based on Docker container technology |
US20200183948A1 (en) * | 2018-12-07 | 2020-06-11 | Capital One Services, Llc | Provisioning compute and data resources within an elastic data warehouse system |
CN111813560A (en) * | 2020-08-13 | 2020-10-23 | 中国人民解放军国防科技大学 | Intelligent space-based system based on cloud pond end |
CN112231052A (en) * | 2020-09-29 | 2021-01-15 | 中山大学 | High-performance distributed container mirror image distribution system and method |
-
2021
- 2021-03-22 CN CN202110304595.XA patent/CN113377525A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104467945A (en) * | 2013-09-16 | 2015-03-25 | 中国人民解放军总参谋部第六十一研究所 | Virtual bus-based distributed asterism network resource management method |
CN107239329A (en) * | 2016-03-29 | 2017-10-10 | 西门子公司 | Unified resource dispatching method and system under cloud environment |
CN107404523A (en) * | 2017-07-21 | 2017-11-28 | 中国石油大学(华东) | Cloud platform adaptive resource dispatches system and method |
CN110865881A (en) * | 2018-08-27 | 2020-03-06 | 中移(苏州)软件技术有限公司 | Resource scheduling method and device |
US20200183948A1 (en) * | 2018-12-07 | 2020-06-11 | Capital One Services, Llc | Provisioning compute and data resources within an elastic data warehouse system |
CN111221624A (en) * | 2019-12-31 | 2020-06-02 | 中国电力科学研究院有限公司 | Container management method for regulation cloud platform based on Docker container technology |
CN111813560A (en) * | 2020-08-13 | 2020-10-23 | 中国人民解放军国防科技大学 | Intelligent space-based system based on cloud pond end |
CN112231052A (en) * | 2020-09-29 | 2021-01-15 | 中山大学 | High-performance distributed container mirror image distribution system and method |
Non-Patent Citations (1)
Title |
---|
刘红林等: "基于能力分析的天基资源虚拟化方法的设计与实现", 《上海航天(中英文)》 * |
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