CN110647289A - Satellite remote sensing cloud computing platform and system - Google Patents
Satellite remote sensing cloud computing platform and system Download PDFInfo
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- CN110647289A CN110647289A CN201810676920.3A CN201810676920A CN110647289A CN 110647289 A CN110647289 A CN 110647289A CN 201810676920 A CN201810676920 A CN 201810676920A CN 110647289 A CN110647289 A CN 110647289A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- 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
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45504—Abstract machines for programme code execution, e.g. Java virtual machine [JVM], interpreters, emulators
Abstract
The invention provides a satellite remote sensing cloud computing platform and a system, wherein the satellite remote sensing cloud computing platform comprises a master control server and a plurality of universal servers connected with the master control server, wherein one or more virtual machines are established on each universal server; the virtual machine comprises a storage module and a calculation module; the main control server is used for receiving satellite data downloaded by the data receiver; pushing satellite data to a corresponding virtual machine according to a predefined workflow; the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module; and the storage module in the virtual machine is used for storing the satellite data as original data or storing the data product sent by the computing module. Therefore, the same general server can perform calculation and storage, the resource utilization rate of the server is improved, distributed storage in a plurality of servers is realized, and the risk of single-point failure is reduced.
Description
Technical Field
The invention relates to the technical field of remote sensing satellite data processing, in particular to a satellite remote sensing cloud computing platform and a satellite remote sensing cloud computing system.
Background
At present, as shown in fig. 1, a data storage server, a data processing server and other service servers in a satellite remote sensing platform are all systems deployed independently with a single function. After the data receiver finishes receiving satellite data, the data can be transmitted to the storage server to store original data, meanwhile, the data is transmitted to the data processing server to be processed, and after the data is processed by the data processing server to produce a product, the product can be transmitted to the storage server to be stored, or the product can be transmitted to other service servers to be further processed according to requirements.
The storage server is usually deployed in a centralized storage manner, and provides a uniform and centralized storage service for all application data in the whole system, and this deployment manner has a risk of single point failure. The data processing server or the service server usually adopts x86 server hardware, and according to the service planning, processing resources, performance, capacity and the like required by the service system are predicted, independent server hardware is purchased, a corresponding operating system and service processing software are installed, and the deployment usually takes several days to several weeks. Since the business system does not process data every moment, the utilization rate of the computing resources of the server is very low many times, which causes waste of resources and energy.
Therefore, each server in the existing satellite remote sensing platform has a single function and low resource utilization rate, and a single point of failure risk exists due to the centralized storage server component.
Disclosure of Invention
In view of this, the invention aims to provide a satellite remote sensing cloud computing platform and a satellite remote sensing cloud computing system, so as to improve the resource utilization rate of servers, realize distributed storage in a plurality of servers, and reduce the risk of single-point failure.
In a first aspect, an embodiment of the invention provides a satellite remote sensing cloud computing platform, which comprises a master control server and a plurality of universal servers connected with the master control server, wherein one or more virtual machines are established on each universal server; the virtual machine comprises a storage module and a computing module;
the main control server is used for receiving satellite data downloaded by the data receiver; pushing the satellite data to a corresponding virtual machine according to a predefined workflow;
the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module;
and the storage module in the virtual machine is used for storing the satellite data as original data or storing a data product calculated by the calculation module.
With reference to the first aspect, an embodiment of the present invention provides a first possible implementation manner of the first aspect, where the storage modules use global unified naming, so that each storage module is used as a single virtual storage pool.
With reference to the first aspect, an embodiment of the present invention provides a second possible implementation manner of the first aspect, where when the master control server detects that the computing resources or the storage resources are insufficient, the current expansion requirement is predicted, and an expansion instruction is sent to a corresponding monitoring management platform.
With reference to the first aspect, an embodiment of the present invention provides a third possible implementation manner of the first aspect, where the master server is provided with an expansion interface of a universal server.
With reference to the first aspect, an embodiment of the present invention provides a fourth possible implementation manner of the first aspect, where the master server sends an allocation control instruction to the general server, so as to perform any one of creating, modifying, deleting, enabling, disabling, cloning, and adjusting capacities of the storage module and the computing module on a virtual machine inside the general server.
With reference to the first aspect, an embodiment of the present invention provides a fifth possible implementation manner of the first aspect, where a storage access protocol corresponding to the storage module includes one or more of NFS, CIFS, and iSCSI.
With reference to the first aspect, an embodiment of the present invention provides a sixth possible implementation manner of the first aspect, where the computing module includes a primary computing module and a secondary computing module; the data products comprise a primary data product and a secondary data product;
the primary computing module is used for receiving and processing satellite data sent by the main control server to obtain a primary data product, and returning the primary data product to the main control server;
the main control server sends the primary data product to the secondary computing module according to a predefined workflow;
the secondary computing module processes the primary data product to obtain a secondary data product, and returns the secondary data product to the master control server;
and the master control server stores the secondary data products to corresponding storage modules.
In a second aspect, an embodiment of the present invention further provides a satellite remote sensing cloud computing system, including a data receiver, a monitoring management platform, and the satellite remote sensing cloud computing platform according to any one of the possible implementation manners of the first aspect, where the data receiver and the monitoring management platform are respectively connected to the master control server.
With reference to the second aspect, an embodiment of the present invention provides a first possible implementation manner of the second aspect, where the monitoring management platform receives various types of alarm information sent by the master control server, performs aggregation and root cause analysis on the alarm information to determine a cause of a fault and locate a fault point, and sends the alarm information, the cause of the fault, and the fault point to a terminal corresponding to a relevant person.
With reference to the second aspect, an embodiment of the present invention provides a second possible implementation manner of the second aspect, where the second possible implementation manner further includes a report server, the report server is connected to the monitoring management platform, and the monitoring management platform filters, processes, and arranges the alarm information, and displays the alarm information through the report server.
The embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, the satellite remote sensing cloud computing platform comprises a master control server and a plurality of universal servers connected with the master control server, wherein one or more virtual machines are established on each universal server; the virtual machine comprises a storage module and a calculation module; the main control server is used for receiving satellite data downloaded by the data receiver; pushing satellite data to a corresponding virtual machine according to a predefined workflow; the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module; and the storage module in the virtual machine is used for storing the satellite data as original data or storing the data product sent by the computing module. Therefore, the same general server can perform calculation and storage, the resource utilization rate of the server is improved, distributed storage in a plurality of servers is realized, and the risk of single-point failure is reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic structural diagram of a satellite remote sensing platform in the prior art;
fig. 2 is a schematic structural diagram of a satellite remote sensing cloud computing platform provided in an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a satellite remote sensing cloud system according to an embodiment of the present invention;
fig. 4 is another schematic structural diagram of a satellite remote sensing cloud system according to an embodiment of the present invention.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to the satellite remote sensing cloud computing platform and the system, calculation and storage can be carried out on the same general server, so that the resource utilization rate of the server is improved, distributed storage in a plurality of servers is realized, and the single-point fault risk is reduced.
In order to facilitate understanding of the embodiment, a detailed description is first given to a satellite remote sensing cloud computing platform disclosed in the embodiment of the invention.
The first embodiment is as follows:
fig. 2 shows a schematic structural diagram of a satellite remote sensing cloud computing platform provided by the embodiment of the invention. As shown in fig. 2, the satellite remote sensing cloud computing platform includes a master control server 10, and a plurality of general servers 11 connected to the master control server 10, where each general server is created with one or more virtual machines 110; the virtual machine includes a storage module 111 and a computing module 112. In a possible embodiment, the generic server is an x86 generic server.
The main control server is used for receiving satellite data downloaded by the data receiver; and pushing the satellite data to a corresponding virtual machine according to a predefined workflow. Wherein the satellite data is raw data that is sorted in order according to observation. The workflow can be to write a job definition file ([ def) by using a service description scripting language, complete the definition of service composition, service logic relationship and service object control structure, and realize the logic structure design of complex service formation. According to the workflow information, the satellite data may be transmitted to a corresponding calculation module or a storage module.
And the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module. And the storage module in the virtual machine is used for storing the satellite data as original data or storing the data product calculated by the calculation module. The storage modules are named globally and uniformly, so that each storage module is used as a single virtual storage pool to facilitate data access. Specifically, hardware such as a Central Processing Unit (CPU), a memory, a disk, and input/output (I/O) of each universal server is changed into a "resource pool" capable of being dynamically managed, and a global unified name is adopted and is uniformly managed by a master control server, so that the resource utilization rate is improved, system management is simplified, server integration is realized, and IT (Information Technology) infrastructure is more adaptive to changes in services.
In a possible embodiment, the calculation module comprises a primary calculation module and a secondary calculation module; the data products include primary data products and secondary data products. The primary calculation module is used for receiving and processing the satellite data sent by the main control server to obtain a primary data product and returning the primary data product to the main control server; the main control server sends the primary data product to a secondary computing module according to a predefined workflow; and the secondary calculation module processes the primary data product to obtain a secondary data product, and returns the secondary data product to the master control server. And the master control server stores the secondary data product to a corresponding storage module.
Generally, the satellite data may be used as a zero-order data product. Positioning, calibrating and carding by a primary computing module to obtain data with longitude and latitude information and auxiliary information of sun, sensors and the like as a primary data product; on the basis of the primary data product, quantitative inversion calculation is carried out by a secondary calculation module by using a non-passing scientific inversion algorithm to obtain a secondary data product, wherein the secondary product is a projected regional framing product.
In a possible embodiment, the master server sends an allocation control instruction to the general-purpose server to perform any one of creating, modifying, deleting, enabling, disabling, cloning, capacity adjustment of the storage module and the computing module on the virtual machine inside the general-purpose server.
The main control server can integrate local DAS (Direct-Attached Storage of an open system) Storage resources (such as SATA (serial advanced technology attachment) hard disks, SAS (serial Attached Storage) hard disks, SSD (solid State disk) hard disks and the like) of the universal servers, and perform unified management with virtual machines in the universal servers, so that computing and Storage resources of a plurality of servers are integrated into one system, and computing, Storage and virtualization resources are integrated.
In a possible embodiment, the master control server may send a copy instruction to the corresponding general server according to an event trigger or a time trigger manner, so as to control the information in the storage module to perform automatic copy, such as mirroring or multi-copy, thereby ensuring high accessibility of data, and even in the case of hardware failure, normal access is possible. The event trigger may be detection of new information being stored or receiving of copy operation information, and the time trigger may be that the current time reaches a preset control period.
In the embodiment provided by the invention, the storage is defined by using the software of a general hardware platform, and a distributed architecture is adopted, so that the same general server can perform calculation and storage, the resource utilization rate of the server is improved, the energy is saved, the consumption is reduced, and the space and the power consumption are saved; under the condition that the existing resources are enough, computing and storing resources are transversely expanded by using a virtual machine, and extra hardware does not need to be purchased; and meanwhile, distributed storage in a plurality of servers is realized, and the risk of single-point failure is reduced.
In consideration of the prior art, when a new service system needs to be added, new server hardware is purchased for deployment, which greatly increases the investment cost and the operation and maintenance cost when the new system is deployed. Based on this, in a possible embodiment, the master server is provided with an expansion interface of the general server. And when the main control server detects that the computing resources or the storage resources are insufficient, predicting the current expansion demand and sending an expansion instruction to the corresponding monitoring management platform. Related personnel corresponding to the monitoring management platform can directly establish connection with the main control server through the expansion interface by directly purchasing the general server, and simultaneously expand calculation and storage resources, so that linear capacity expansion according to needs is realized, an existing service system does not need to be closed during the capacity expansion, and continuous operation of services is ensured.
In a possible embodiment, the storage access protocol corresponding to the storage module includes one or more of NFS (Network File System), CIFS (Common Internet File System), iSCSI (Internet Small Computer System Interface), and is completely compatible with a POSIX (Portable Operating System Interface) standard, and an existing application program can access data in the System without any modification or using a dedicated API (application programming Interface).
In summary, the satellite remote sensing cloud computing platform at least has the following advantages:
the whole system is built by using the x86 universal hardware platform, and the total investment cost of hardware can be greatly reduced without depending on special hardware equipment. Compared with the scheme of using various hardware devices in the traditional architecture, the number of purchased physical servers is reduced, meanwhile, the corresponding occupied space and energy consumption are reduced, the deployment is rapid, and the operation and maintenance cost is low.
Hardware such as a CPU, a memory, a disk, an I/O and the like is changed into a resource pool which can be dynamically managed, so that the utilization rate of resources is improved, system management is simplified, server integration is realized, and IT infrastructure has adaptability to business changes.
Improving the utilization rate of the infrastructure: by pooling infrastructure resources and breaking a fence using a physical machine, virtualization greatly improves resource utilization. By reducing the purchase of additional hardware, the enterprise can obtain substantial cost savings.
The availability is improved, and a high-reliability server application environment with transparent load balancing, dynamic migration, automatic fault isolation and automatic system reconfiguration is provided. By isolating the operating system and applications from the server hardware devices, viruses and other security threats cannot infect other applications.
One of the functions of virtual machine server virtualization is to support migration of running virtual machines from one host to another without a downtime event occurring in the process. Facilitating virtualized servers to achieve longer runtime than physical servers.
Through the distributed storage structure, the requirement on the traditional storage server is eliminated, the storage with high availability and multiple copies is provided for an application system, multiple storage access protocols such as NFS, CIFS and iSCSI are supported, and multiple application requirements are met.
The flexible adaptability of IT to services is improved through dynamic resource allocation, the integration of heterogeneous operating systems is supported, the continuous operation of old applications is supported, and the migration cost is reduced. The method supports integration of heterogeneous operating systems, supports continuous operation of old applications, supports rapid transfer and copy of virtual servers, and provides a simple and convenient disaster recovery solution.
The cloud computing management platform and the virtualization technology are integrated, computing resources and storage resources are managed, scheduled and allocated in a unified mode, virtualization of the computing resources, the storage resources and network resources is completed, virtual machines are created and managed flexibly through unified interfaces, resources are allocated according to needs, application systems are delivered rapidly, and high-performance, operable and manageable virtual machines are provided for users.
Example two:
fig. 3 shows a schematic structural diagram of a satellite remote sensing cloud computing system provided by an embodiment of the invention. As shown in fig. 3, the satellite remote sensing cloud computing system includes a data receiver 300, a monitoring management platform 400, and a satellite remote sensing cloud computing platform 500 in the first embodiment, where the data receiver and the monitoring management platform are respectively connected to a master control server.
The data receiver downloads monitoring data of the satellite in real time, such as NPP (net primary productivity) data, reads the data from a receiving cache area, directly stores the most original remote sensing data, extracts satellite data needing further processing as a zero-order data product, and sends the satellite data to a satellite remote sensing cloud computing platform for analysis, so that real-time quick-view monitoring and quality statistics of the NPP data are realized.
In a possible embodiment, the monitoring management platform receives various types of alarm information sent by the master control server, performs aggregation and root analysis on the alarm information to determine the fault occurrence reason and locate the fault point, and sends the alarm information, the fault occurrence reason and the fault point to terminals corresponding to related personnel so that the related personnel corresponding to the terminals can process the alarm information and the fault point in time. For example, the warning message can be sent in various modes such as mail, WeChat, short message and the like.
Further, referring to fig. 4, the satellite remote sensing cloud computing system further includes a report server 600, the report server is connected to the monitoring management platform, and the monitoring management platform filters, processes and arranges the alarm information, and displays the alarm information through the report server, so that the alarm information is more intuitive. The specific presentation mode may be a report, a chart or a text, and is not limited specifically.
The satellite remote sensing cloud computing platform in the system comprises a master control server and a plurality of universal servers connected with the master control server, wherein one or more virtual machines are established on each universal server; the virtual machine comprises a storage module and a calculation module; the main control server is used for receiving satellite data downloaded by the data receiver; pushing satellite data to a corresponding virtual machine according to a predefined workflow; the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module; and the storage module in the virtual machine is used for storing the satellite data as original data or storing the data product sent by the computing module. Therefore, the same general server can perform calculation and storage, the resource utilization rate of the server is improved, distributed storage in a plurality of servers is realized, and the risk of single-point failure is reduced.
The satellite remote sensing cloud computing system provided by the embodiment of the invention has the same technical characteristics as the satellite remote sensing cloud computing platform provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the apparatus and the electronic device described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Unless specifically stated otherwise, the relative steps, numerical expressions, and values of the components and steps set forth in these embodiments do not limit the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and 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 of devices or units through some communication interfaces, 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 non-volatile computer-readable storage medium executable by a processor. 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: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The satellite remote sensing cloud computing platform is characterized by comprising a master control server and a plurality of universal servers connected with the master control server, wherein one or more virtual machines are established on each universal server; the virtual machine comprises a storage module and a computing module;
the main control server is used for receiving satellite data downloaded by the data receiver; pushing the satellite data to a corresponding virtual machine according to a predefined workflow;
the computing module in the virtual machine is used for processing the satellite data to obtain a data product and transmitting the data product to the storage module;
and the storage module in the virtual machine is used for storing the satellite data as original data or storing a data product calculated by the calculation module.
2. The satellite remote sensing cloud computing platform of claim 1, wherein the storage modules are globally and uniformly named so that each storage module is used as a single virtual storage pool.
3. The satellite remote sensing cloud computing platform according to claim 1, wherein when the main control server detects that computing resources or storage resources are insufficient, the current expansion demand is predicted, and an expansion instruction is sent to the corresponding monitoring management platform.
4. The satellite remote sensing cloud computing platform of claim 1, wherein the master server is provided with an expansion interface of a universal server.
5. The satellite remote sensing cloud computing platform of claim 1, wherein the master control server sends a distribution control command to the universal server to perform any one of creating, modifying, deleting, enabling, disabling, cloning, capacity adjustment of a storage module and a computing module for a virtual machine inside the universal server.
6. The satellite remote sensing cloud computing platform of claim 1, wherein the storage access protocol corresponding to the storage module comprises one or more of NFS, CIFS, iSCSI.
7. The satellite remote sensing cloud computing platform of claim 1, wherein the computing modules comprise a primary computing module and a secondary computing module; the data products comprise a primary data product and a secondary data product;
the primary computing module is used for receiving and processing satellite data sent by the main control server to obtain a primary data product, and returning the primary data product to the main control server;
the main control server sends the primary data product to the secondary computing module according to a predefined workflow;
the secondary computing module processes the primary data product to obtain a secondary data product, and returns the secondary data product to the master control server;
and the master control server stores the secondary data products to corresponding storage modules.
8. A satellite remote sensing cloud computing system is characterized by comprising a data receiver, a monitoring management platform and the satellite remote sensing cloud computing platform as claimed in any one of claims 1 to 7, wherein the data receiver and the monitoring management platform are respectively connected with a master control server.
9. The satellite remote sensing cloud computing system according to claim 8, wherein the monitoring management platform receives various types of alarm information sent by the master control server, performs aggregation and root cause analysis on the alarm information to determine a fault occurrence reason and locate a fault point, and sends the alarm information, the fault occurrence reason and the fault point to terminals corresponding to related personnel.
10. The satellite remote sensing cloud computing system of claim 9, further comprising a report server, wherein the report server is connected with the monitoring management platform, and the monitoring management platform filters, processes and arranges the alarm information and displays the alarm information through the report server.
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