CN102377824A - Cloud computing-based spatial information service system - Google Patents
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Abstract
The embodiment of the invention discloses a cloud computing-based spatial information service system. The cloud computing-based spatial information service system comprises a data layer, a service layer and an application layer, wherein the data layer is used for storing and managing data resources; the service layer is used for encapsulating spatial information service components and performing service process modeling by using a workflow engine; the application layer is used for providing external service; the data layer consists of a distributed file system, a distributed spatial database and a resource adapter; the service layer consists of a spatial information service component library and the workflow engine; and the application layer consists of a cloud service platform portal, a resource directory and an exchange system. The cloud computing-based spatial information service system adopts the technologies of the distributed file system, the distributed database, parallel programming models and workflows and the like, supports mass data storage, the resource directory, the exchange system and parallel program processing, can provide integrated service from data to processing functions, has high feasibility and can meet various requirements of spatial information service.
Description
Technical field
The present invention relates to the cloud computing technical field, relate in particular to a kind of spatial Information Service system based on cloud computing.
Background technology
Cloud computing is a kind of application program to be run on the emerging shared architecture on a large amount of concurrent computational systems, possesses treatment scaleization, management centralization, function openingization, stores characteristics such as magnanimityization and client lightweight.Cloud computing system is with its good extensibility, high reliability and high availability, for the service ability of room for promotion information service system provides powerful technical support.Software and hardware is all by the abstract resource form that turns in cloud computing; And be packaged into service form service (infrastructure as a service, platform as a service, software as a service) externally is provided; No matter the terminal is any equipment; Can see through network and obtain service, and need not pay close attention to its internal structure and operational mode with the mode that promptly need promptly get.The appearance of cloud computing technology is undoubtedly for the realization of spatial Information Service provides a kind of new Technical Architecture, and the appearance of Google Earth and Google Map is exactly good illustration.The traditional geographic information system is classified according to the data distribution characteristics in the system with to the calculated characteristics of data processing wherein.
Along with digital earth moves towards industry from theory; 3S (remote sensing; Geographic information system; Global positioning system) fast development of technology, the spatial information range of application is more and more wider, and the geographical spatial data how people begin to think the distribution isomery organically gathers together; Make the user can obtain the function of any spatial data and deal with data pellucidly, through data, services and two kinds of forms of function service realize will Useful Information with method and minimum cost are given the user who needs most the most efficiently.The traditional geographic information system can not meet the demands; This just requires the traditional geographic information system to change to spatial Information Service; Be implemented under the Internet environment the integrated service that data and processing capacity are provided for the multi-user; The user can directly be conducted interviews to geographical spatial data through network, and analyzing and processing is also exported thematic display result.
Therefore, be necessary to provide a kind of spatial Information Service system to solve the demand based on cloud computing.
Summary of the invention
The objective of the invention is to propose a kind of mass data storage, Resource TOC and switching architecture and concurrent program can supported and handle, the integrated service from data to the processing function can be provided, can satisfy the multiple demand of spatial Information Service.
To achieve these goals, the present invention proposes a kind of spatial Information Service system based on cloud computing, comprise data Layer, service layer and application layer, said data Layer is used for storage and management data resource; Said service layer is used for the spatial Information Service assembly is encapsulated also and can carry out the operation flow modeling through workflow engine; Said application layer is used for externally providing service; Said data Layer is made up of distributed file system, distributed spatial database and adapter resource; Said service layer is made up of spatial Information Service Component Gallery and workflow engine, and said application layer is made up of cloud service platform door and Resource TOC and switching architecture.
Particularly, said distributed file system adopts HDFS to store data, and said distributed file system establishes data file and index file, and said data file is used to preserve file data, and said index file is used to preserve the index information of file.
Particularly, said distributed spatial database is realized user transparent accessing global data through setting up global view, metadata and access control mechanisms.
Particularly, said adapter resource will convert the corresponding method of calling of file or database from the access request of service layer to.
Particularly, said service layer encapsulates the types of functionality assembly according to canonical form, in the spatial Information Service Component Gallery, registers, disposes and issue, and it is become by the serviced component of spatial Information Service Component Gallery management; Said workflow engine support is based on the business model of workflow; The user can be according to the business demand of oneself; From the spatial Information Service Component Gallery, search corresponding service system online graphical editing interface is provided; With the mode editor's operation flow that pulls, system is mapped as the script of following the BPEL4WS standard with the user service flow journey automatically, is responsible for service dispatch and execution by workflow engine.
Particularly; The direct user oriented of said application layer provides one-stop service, and all resources and function all offer the user with the form of service; Said Resource TOC and switching architecture can carry out exchanges data and service interoperability with other system; Service in the said cloud service platform door comprises that mainly data are promptly served and model is promptly served, and data registration issue and exchange assembly are provided in the said cloud service platform door, and the user can register the data of oneself, issue on platform; Resource TOC and switching architecture provide storage, visit, management and Exchange Service, and the data in the other system can import the cloud platform; Said model is promptly served and is comprised the spatial analysis in a series of application-oriented fields model is provided; Said model be packaged into serviced component through the operation flow modeling with the model service polymerization; Form handling process, carry out exchanges data through parameter transmission and document form between model.
Compared with prior art; Spatial Information Service system based on cloud computing of the present invention; Adopt technology such as distributed file system, distributed data base, multiple programming model and workflow, support mass data storage, Resource TOC and switching architecture and concurrent program to handle, can provide from data to the integrated service of handling function; Feasibility is high, can satisfy the multiple demand of spatial Information Service.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the structured flowchart that the present invention is based on the embedded system of process scheduling.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.Along with the appearance of cloud computing technology, make people have more time to pay close attention to the problem in the professional domain, make the spatial Information Service pattern that revolutionary change take place.Use the thought of cloud computing, set up and use the application service of geographical spatial data, realize the AaaS theory under the cloud computing environment, will greatly improve the range of application and application level of spatial information as the basis.The object of the invention is handled in order to propose a kind of mass data storage, Resource TOC and switching architecture and concurrent program can supported just, and the integrated service from data to the processing function can be provided, and can satisfy the multiple demand of spatial Information Service.
With reference to figure 1, the spatial Information Service system framework based on cloud computing of the present invention can be divided into three levels, i.e. data Layer, service layer and application layer.Data Layer mainly is responsible for storage and management data resource on cloud computing infrastructure; Service layer mainly is responsible for the spatial Information Service assembly is encapsulated according to Web service standard, and can carry out the operation flow modeling through workflow engine; Application layer is responsible for externally providing service, user can login one-stop cloud service platform door, and the service that direct using system provides also can be carried out data registration, issue, exchange and service call through Resource TOC and switching architecture.
Particularly, said data Layer mainly is made up of distributed file system, distributed spatial database and adapter resource.Infrastructure based on cloud computing platform mainly is made up of cheap PC cluster, need storage lot of data and file, so distributed storage is a kind of inevitable choice.For in distributed environment for the user provides transparent file and data access mode, adopt distributed file system and distributed spatial database basic platform based on the spatial Information Service system of cloud computing as storage and management.Aspect file storage, distributed file system can successfully manage Single Point of Faliure through redundant storage, and can improve response speed through a plurality of copies, realizes the high reliability and the high availability storage of mass data effectively.Aspect database, distributed data base can realize user transparent accessing global data through setting up global view, metadata and access control mechanisms.Adapter resource mainly is responsible for converting the corresponding method of calling of file or database from the access request of service layer to.
The present invention adopts HDFS as distributed file system; HDFS designs to big file storage specially; File is stored according to piece, and each piece acquiescence is that all file metadatas of 64MB all can the resident system internal memory, to improve the inquiry velocity of file request.In practical operation, need a large amount of small documents of storage, therefore need to do corresponding optimization to small documents.Technical scheme of the present invention is merged into big file with small documents.Set up two files: one is data file, preserves file data; One is index file, preserves the index information of file.
When small documents of storage, step is following:
Step1: append the data that write small documents to the data file end;
Step2: version number, length and the side-play amount in data file of record small documents in the indexed file.
When reading a small documents, step is following:
Step1: find the up-to-date record of the identical version number of filename in the indexed file;
Step2: from data file, read file content according to side-play amount and length.
Said distributed file system is mainly used in the file that storage is relatively stable, seldom change.In case file content changes, then original file content files as old version.For the file that those contents often change, generally adopt distributed data base to store.
Said service layer is based on the core of the spatial Information Service system of cloud computing, is made up of spatial Information Service Component Gallery and workflow engine.The external all functions of system all are to provide with the form of serving.At first the types of functionality assembly is encapsulated according to canonical form; The Web service that proposes like international open geographic information alliance of system (the Open Geospatial Consortium) encapsulates standard; In the spatial Information Service Component Gallery, register, dispose and issue then, become by the serviced component of spatial Information Service Component Gallery management.System provides workflow engine simultaneously, supports the business model based on workflow.The user can be according to the business demand of oneself; From the spatial Information Service Component Gallery, search corresponding service system online graphical editing interface is provided; The user can be with the mode editor's operation flow that pulls; System is mapped as the script of following the BPEL4WS standard with the user service flow journey automatically, is responsible for service dispatch and execution by workflow engine.
In the spatial analysis service implementing, use parallel algorithm,, improve treatment effeciency to make full use of the computing capability of cloud platform.Map/Reduce is a kind of multiple programming normal form, in program, mainly contains two stages: Map stage and Reduce stage.Each stage all with certain key-value pair as input, the new key-value pair of output.Each bar data record of Map phase process input, the algorithm according to appointment generates new key-value pair simultaneously; The key-value pair that the Reduce stage generates the Map stage merges, and the value with same keys can merge according to the algorithm of formulating.
The design of parallel spatial parser is following among the present invention.
1) grid overlay analysis
The record format of the employed data file of this algorithm is F < MBR, value >, and wherein, MBR is the outsourcing rectangle of this record, and value is the array of the property value of each grid point in this coffin scope.The grid overlay analysis can use two stage Map/Reduce algorithm to accomplish.
Step1:,,, this record is divided into some length and wide identical new record according to the outsourcing rectangle of every record according to a unified space-division method in first Map stage.The key of each new record is its other combination of outsourcing rectangle and Attribute class, in the value array with original record in the overlapping place of coordinate use original value, the local void value that other are newly-increased carries out mark with a particular value.
Step2: in first Reduce stage, merge, have being recorded in when merging of identical outsourcing rectangle, get the part of value according to the key of new record.After first Map/Reduce stage finishes, intermediate object program is preserved.Through after this stage, the data file of each had been divided into regular graticule mesh originally.
Step3: second Map stage, the outsourcing rectangle of selecting each record is as key, and classification and property value array are as value.
Step4: second Reduce stage, the record that will have same keys is handled according to predetermined superposition algorithm, and the result who obtains saves as file.
Step5: destination file is required to put in order according to output, just accomplished the operation of grid overlay analysis.
2) the R tree space index generates
The record format of employed data file is F < id, location, properties>in this algorithm.Wherein, id is unique identifier of object, and location is the locus of object, and properties is the property value group of object.The structure of R tree can be divided into three phases, wherein comprises two stage Map/Reduce.
Step1: the task of phase I is to generate spatial object is divided function in groups, and partition function is most important for two stage mapping in back and merger.Partition function should be divided into some subclass of the same size with data set as far as possible, and partition function should be divided into same subset with spatially contiguous object as far as possible simultaneously.
When selecting partition function, the present invention has utilized space filling curve, and hyperspace is shone upon to the one dimension ordered space.In program realizes, selected the Z preface to fill the given locus of curve, partition function provides a value, indicates its sequence number in the Z preface.The generation of partition function has also utilized the Map/Reduce algorithm.Because the data that need in the practical problem to handle maybe be very big,, adopt the thought of sampling in order to reduce amount of calculation.In the Map stage, move M mapper program, choose L target sample, calculate the sequence number of this L object according to selected space filling curve.In the Reduce stage, use a reduce program that this L sequence number is sorted, according to the number of subsets R of prior setting, they are divided into the approximate consistent subclass of size.According to the situation of dividing, confirm critical point sequence S={S
1, S
2..., S
R=1Final spatial division function is following:
Wherein: the sequence number that U (o) logo object o calculates with space filling curve.
Step2: the partition function that second stage utilizes the phase I to generate makes up the R tree respectively to each group.The Map process in this stage uses partition function that whole data set is divided into some subclass; In the Reduce process, each subclass is generated the R tree respectively.
Step3: the phase III is merged into a R tree with some R trees that second stage generates.In merging process,, possibly need to increase one deck if the quantity of R tree has exceeded the number of individual node.The just merger simply of this stage does not belong to the computation-intensive task, therefore, only needs a process to handle just passable.
Action node in the workflow comprises Map/Reduce, Map/Reduce stream, Map/Reduce pipeline, file system, sub-workflow etc.Flow control operations comprises decision, fork and join node.Can a plurality of Map/Reduce work be together in series through action node and Control Node.Multistage Map/Reduce task can form complete handling process under the support of workflow engine.
Engine uses XML file logging workflow defining, and Web service is provided API, supports that carrying out workflow through Web service calls.
The direct user oriented of application layer of the spatial Information Service system based on cloud computing of the present invention provides one-stop service.The design of door follow application promptly serve (application as a service, theory AaaS), all resources and function all with the service form offer the user.Cloud service platform door also provides Resource TOC and switching architecture, can carry out exchanges data and service interoperability with other system.
Service in the cloud service platform mainly comprises two types:
A) data are promptly served.Data registration issue and exchange assembly are provided in the door, and the user can register the data of oneself, issue on platform.System provides storage, visit, management and Exchange Service, supports through Web service the data importing cloud platform in the other system, realized data promptly serve (data as a service, DaaS).
B) model is promptly served.System provides the spatial analysis model in a series of application-oriented fields, and these models are packaged into serviced component.To practical problem, can the model service polymerization be got up through the operation flow modeling, form handling process; Carry out exchanges data through parameter transmission and document form between model.Through this mode, system realized model promptly serve (model as a service, MaaS).At present, disposed the service of vegetation net primary productivity solving model in the system.
Compared with prior art; Spatial Information Service system based on cloud computing of the present invention; Adopt technology such as distributed file system, distributed data base, multiple programming model (Map/Reduce) and workflow; Support mass data storage, Resource TOC and switching architecture and concurrent program to handle, can provide from data to the integrated service of handling function.The present invention has feasibility, can satisfy the multiple demand of spatial Information Service.
More than to what the embodiment of the invention provided, carried out detailed introduction, the present invention has used concrete example principle of the present invention and execution mode has been set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as limitation of the present invention.
Claims (6)
1. the spatial Information Service system based on cloud computing is characterized in that, comprises data Layer, service layer and application layer, and said data Layer is used for storage and management data resource; Said service layer is used for the spatial Information Service assembly is encapsulated also and can carry out the operation flow modeling through workflow engine; Said application layer is used for externally providing service; Said data Layer is made up of distributed file system, distributed spatial database and adapter resource; Said service layer is made up of spatial Information Service Component Gallery and workflow engine, and said application layer is made up of cloud service platform door and Resource TOC and switching architecture.
2. the spatial Information Service system based on cloud computing as claimed in claim 1; It is characterized in that; Said distributed file system adopts HDFS to store data; Said distributed file system establishes data file and index file, and said data file is used to preserve file data, and said index file is used to preserve the index information of file.
3. the spatial Information Service system based on cloud computing as claimed in claim 1 is characterized in that, said distributed spatial database is realized user transparent accessing global data through setting up global view, metadata and access control mechanisms.
4. the spatial Information Service system based on cloud computing as claimed in claim 1 is characterized in that, said adapter resource will convert the corresponding method of calling of file or database from the access request of service layer to.
5. the spatial Information Service system based on cloud computing as claimed in claim 1; It is characterized in that; Said service layer encapsulates the types of functionality assembly according to canonical form; In the spatial Information Service Component Gallery, register, dispose and issue, it is become by the serviced component of spatial Information Service Component Gallery management; Said workflow engine support is based on the business model of workflow; The user can be according to the business demand of oneself; From the spatial Information Service Component Gallery, search corresponding service system online graphical editing interface is provided; With the mode editor's operation flow that pulls, system is mapped as the script of following the BPEL4WS standard with the user service flow journey automatically, is responsible for service dispatch and execution by workflow engine.
6. the spatial Information Service system based on cloud computing as claimed in claim 1; It is characterized in that; The direct user oriented of said application layer provides one-stop service, and all resources and function all offer the user with the form of service; Said Resource TOC and switching architecture can carry out exchanges data and service interoperability with other system; Service in the said cloud service platform door comprises that mainly data are promptly served and model is promptly served, and data registration issue and exchange assembly are provided in the said cloud service platform door, and the user can register the data of oneself, issue on platform; Resource TOC and switching architecture provide storage, visit, management and Exchange Service, and the data in the other system can import the cloud platform; Said model is promptly served and is comprised the spatial analysis in a series of application-oriented fields model is provided; Said model be packaged into serviced component through the operation flow modeling with the model service polymerization; Form handling process, carry out exchanges data through parameter transmission and document form between model.
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