CN109615357A - The fine-grained user of remote sensing big data cloud authorizes resource charge system and method - Google Patents
The fine-grained user of remote sensing big data cloud authorizes resource charge system and method Download PDFInfo
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Abstract
Present disclose provides a kind of remote sensing big datas to authorize charge system, comprising: authorization subsystem, the fine granularity resource for cooperated computing, storage, remotely-sensed data are grading authorized；Statistics sub system, including remotely-sensed data parsing module, user's remotely-sensed data usage track module and user resources dosage statistical module；Charge subsystem, including billing of services module and policy management module, for the cloud computing of remote sensing big data, storage, remotely-sensed data integrated charging and clearing.Fine-grained user's authorization and management are carried out by the resource to remote sensing big data cloud platform, and provide the flexible charging mode for calculating, storage and remotely-sensed data in cloud platform, the efficiency for improving the resource management of remote sensing big data platform, enhances safety.
Description
Technical field
This disclosure relates to which remote sensing big data field more particularly to a kind of fine-grained user of remote sensing big data cloud authorize money
Source charge system and method.
Background technique
Current cloud computing and big data platform to the usage mode of resource are realized by resource rent mode, Yong Hu
It is referred to as tenant in platform.The role of tenant is generally divided into enterprise customer and personal two families, two class and not can customize, tenant's
Flexible binding relationship is not present between role and platform resource product, which is suitable for most of shared cloud platform business at present
Scene, but seem it is not very flexibly for the control of remotely-sensed data aspect, it is therefore desirable to it designs a set of flat for remote sensing big data
The resource authorization and process for using and method of platform can take into account other business modules of platform, such as charging system while facilitating extension
System, monitoring system etc..Charge system is a very important support system of the platform resource for the use of metering, common at present
Publicly-owned cloud platform all support the charge systems of all kinds of resources of object platform, but consider the diverse problems of resource type,
Charging granularity, charging object and charging policy will do specific aim adaptation adjustment, therefore the charging system that flexible design is expansible
It unites most important for cloud computing big data platform.
Remote sensing big data resource handling characteristics are combined in design scheme of the invention, propose one kind towards the big number of remote sensing
According to the charging method of platform, the charge mode of a variety of remote sensing big datas is supported, and support the flexible expansion of different charge strategy.
Summary of the invention
(1) technical problems to be solved
Present disclose provides a kind of fine-grained users of remote sensing big data cloud to authorize resource charge system and method, so that
Small part solves technical problem set forth above.
(2) technical solution
According to one aspect of the disclosure, it provides a kind of remote sensing big data and authorizes charge system, comprising:
Authorization subsystem, the fine granularity resource for cooperated computing, storage, remotely-sensed data are grading authorized；
Statistics sub system, including remotely-sensed data parsing module, user's remotely-sensed data usage track module and user resources are used
Measure statistical module；
Charge subsystem, including billing of services module and policy management module, for the cloud computing of remote sensing big data, storage,
Remotely-sensed data integrated charging and clearing.
In some embodiments, wherein the authorization subsystem reflects the authorization use that user, role, Remote Sensing Products are classified
The mode for penetrating binding realizes that the role and access level that user is set by binding system are to have the authorization of role imparting
The access authority of resource, and the access control of Remote Sensing Products is carried out by binding role and Permission Levels mode.
In some embodiments, wherein the authorization subsystem, support system actor and data level customized, and by institute
Role bindings are stated to different users and Remote Sensing Products, while providing customized authorising conditional, including satellite, sensing for user
Device, the setting of time, spatial dimension.
In some embodiments, the remotely-sensed data parsing module can be by whole by the partial data that resolve packet goes out
Formatted storage generates Charging Detail Record unit mark, the parameter into satellite parametric reduction search library, through the important parameter of charge system
Including satellite mark, sensor identification, resolution ratio, time range, spatial dimension；The mark is used for same satellite of unique identification
Some resolution ratio sensor acquisition data, multiple and different its Charging Detail Record unit of resolution ratio of same satellite identifies different；
The mark is for tracking user to the access situation of data, and typing is into basic Charging Detail Record unit template library, for as price
The basis for pricing of module formulates charging policy.
In some embodiments, user's remotely-sensed data usage track module is by obtaining user journal information, to number of users
It is tracked according to operation, and is sent to dosage analysis task module；Resource usage statistical module is collected by data acquisition module
Resource complete lifecycle data are simultaneously stored to resource life cycle data library, meanwhile, which is connected to dosage analysis and appoints
Business module.
In some embodiments, the dosage analysis task module of statistics sub system is determined on demand by executing periodic task
Or contract charging mode, and the information such as bill, log are pushed, it can service and provide by notice for resource charging mode difference
Control to resource status is realized in source control service, at the same be related to charging, scene of deducting fees when activate billing of services.
In some embodiments, charge subsystem includes billing of services module and policy management module, wherein
Policy management module determines charging policy, the charging policy packet according to different resource Product Status and product type
Include on-demand and/or contract charging；
Billing of services module includes pricing module, price modifier and conditional combination device, passes through product order parameter and institute
Associated billing of services module is set price calculating parameter, and is passed through operation output and calculated price result.
A kind of remote sensing big data authorizes charging method another aspect of the present disclosure provides, using institute as above
The charging method stated, comprising:
S1, charge system receive the notice that tenant initiates purchase resource ordering order in remote sensing big data service system,
Judge whether tenant has permission to ordering products, the request can be refused if being not authorized to, otherwise go to step S2；
S2 after billing of services system receives request, according to order data, generates product information, is believed according to the product of generation
Breath and the corresponding pricing strategy of product, calculate the expense detail of all products in order, finally summarize to charging；
S3 is generated according to the expense calculated result in step S2 and is withholdd bill in real time, and real-time reception bill is withholdd state.
In some embodiments, in the step S2, when calculating expense, order is split first, according to price plan
Slightly and product parameters calculate expense detail, and the expense detail of the product resource is stored, and are counted according to charging detail, calculating takes
With sum, and charging sum is sent to billing and accounting system, while being stored in systems.
In some embodiments, in the step S3, according to the bill of withholing of the expense calculated result generation in step S2
It is sent to billing and accounting system, billing and accounting system is withholdd in real time, wherein what contract charging executed is disposably to deduct fees, on-demand
Charging executes minimum particle size withholding fee；After the completion of withholing, billing and accounting system is issued a notice task, is sent and is detained to tenant through notice system
Money information notice.
(3) beneficial effect
It can be seen from the above technical proposal that the fine-grained user of disclosure remote sensing big data cloud authorizes resource charging system
System method, at least has the advantages that one of them:
(1) fine-grained user's authorization and management are carried out by the resource to remote sensing big data cloud platform, improves remote sensing
The efficiency of the resource management of big data platform, enhances safety, realizes to multiple resources such as calculating, storage, remotely-sensed datas
Effective management；
(2) by the charging policy to remote sensing big data cloud platform resource, provide in cloud platform calculate, store and
The flexible charging mode of remotely-sensed data is conducive to the service efficiency for improving remote sensing big data platform resource, can be improved big data
The economic benefit of the operation of platform.
Detailed description of the invention
Fig. 1 is that disclosure implementation remote sensing big data authorizes charge system configuration diagram.
Fig. 2 is the structural schematic diagram that the disclosure implements authorization subsystem.
Fig. 3 is the structural schematic diagram that the disclosure implements remotely-sensed data parsing module.
Fig. 4 is the interaction schematic diagram that the disclosure implements statistics sub system and charge subsystem.
Fig. 5 is the structural schematic diagram that the disclosure implements charge subsystem.
Fig. 6 is that disclosure implementation remote sensing big data authorizes charging method flow chart.
Fig. 7 is the flow chart that the disclosure implements billing of services.
Specific embodiment
Present disclose provides a kind of fine-grained users of remote sensing big data cloud to authorize resource charge system and method, passes through
In conjunction with remote sensing big data resource handling characteristics, the charge mode of a variety of remote sensing big datas is supported, and support different charge strategy
Flexible expansion is able to solve existing cloud computing and big data platform to the inflexible problem of control aspect of remotely-sensed data, comprising:
1, the demand of the included classification control of remotely-sensed data product itself, as high score, low divided data product are needed according to its data itself
Attribute is managed；2, remote sensing platform user itself needs to have role's demand, and same user can have various rolls；3, special
Data product can flexibly be accessed by determining Role Users, and the user that is flexibly embodied in herein does not need to do complexity for remotely-sensed data product
Setting can have permission to access.
For the control demand in terms of three above, currently existing cloud platform scheme has been not suitable for, therefore the disclosure provides
A kind of fine-grained user of remote sensing big data cloud authorizes resource charge system, comprising: is used for cooperated computing, storage, remote sensing
The grading authorized authorization subsystem of the fine granularity resource of data；User resources dosage is carried out based on user's remotely-sensed data usage track
The statistics sub system of statistics；It is comprehensive based on conditional combination device and the remote sensing big data cloud computing of price modifier, storage, remotely-sensed data
Total charge subsystem taken with clearing.
It is the basic money of measurement by being customized for the permission control program on basis with user right and with resource usage amount
Source charge system can satisfy use and metering and billing demand of the different rights user to resource.The permission control that the disclosure proposes
Scheme processed uses fine granularity control program, in such a way that user binds role and role bindings resource product, flexibly solves
Diversified demand in terms of remote sensing big data platform user and platform resource access control.
For the purposes, technical schemes and advantages of the disclosure are more clearly understood, below in conjunction with specific embodiment, and reference
The disclosure is further described in attached drawing.
Disclosure some embodiments will be done referring to appended attached drawing in rear and more comprehensively describe to property, some of but not complete
The embodiment in portion will be shown.In fact, the various embodiments of the disclosure can be realized in many different forms, and should not be construed
To be limited to this several illustrated embodiment；Relatively, these embodiments are provided so that the disclosure meets applicable legal requirement.
Demand in view of remote sensing big data platform to data safety and metering present embodiments provides a kind of big number of remote sensing
Resource charge system is authorized according to the fine-grained user of cloud.Fig. 1 is that embodiment of the present disclosure remote sensing big data authorizes charge system
Configuration diagram.As shown in Figure 1, the system of the present embodiment includes:
Authorization subsystem, the fine granularity resource for cooperated computing, storage, remotely-sensed data are grading authorized；
Statistics sub system parses remotely-sensed data, and carries out user resources based on user's remotely-sensed data usage track
Dosage statistics；
Charge subsystem, the cloud computing of remote sensing big data, storage, remotely-sensed data based on conditional combination device and price modifier
Integrated charging and clearing.
As shown in Figure 1, the main thought that fine-grained user authorizes resource charge system is by user role and data
Product binding mode realizes the flexible configuration of authorization, and different user role has strictly different data resources in this platform
Access control setting；Meanwhile fine-grained user authorize resource charge system also proposed it is a kind of based on resource life cycle
Metering and billing framework, the framework can support on-demand and contract charging simultaneously, meet platform user to the multiplicity of resource charging
Change demand.
Fine-grained user authorizes resource charge system and totally follows flexible, lower coupling and modularization route, operation flow
It is designed for uniformity, forms centered on resource product publication order, user's fine granularity authorization around resource product entity
It is a whole set of unified operation flow of auxiliary with accurate charging flow.
Fig. 2 is the structural schematic diagram of authorization subsystem in the present embodiment, as shown in Fig. 2, user includes operation management person, fortune
Administrator and tenant are tieed up, role includes management role, default user role and customized user role, and customized user role can
To carry out the customization of space-time characteristic demand and Remote Sensing Products classification, wherein Remote Sensing Products classification includes 1 grade of Remote Sensing Products, 2 grades of remote sensing
Product and 3 grades of Remote Sensing Products etc..The design method that authorization subsystem is separated using user, role, resource product, it is on the one hand main
Guarantee the flexibility of role's setting, on the other hand guarantees that resource product scalability and access are controllable.
Specifically, the authorization of user, role, Remote Sensing Products classification is used into the side of map bindings in the authorization subsystem
Formula realizes that the role and access level that user is set by binding system are to have the access of the authorization resources of role imparting
Permission, and the access of Remote Sensing Products is then the control that accessed by binding role and Permission Levels mode.For platform role
Extension needs, and supports system actor and data level customized, and can be tied to different user and Remote Sensing Products, simultaneously
It provides the authorising conditional that can be set certainly, including satellite, sensor, time, spatial dimension etc. for user flexibly to set, so that user
It can choose only visible to interested data and access.
System user is broadly divided into three categories, operation management person, operation management person and platform tenant according to user property.Its
Middle operation management person is responsible for operation system management, and operation management person is that operational system highest weight limits the use of family, and platform tenant is then
The user of self service system is the main user of service of platform resource product.
Role's setting of platform can also be divided into three classes, default management role, default user role and customized role.Default
Management role is mainly used for binding management person user, including the above-mentioned operation management person and operation management person referred to；Default user
Role refers to the user role that user defaults after succeeding in registration from service platform, is the minimum user right role of platform, one
As correspondence system platform free class product；Customized role is the major way that system is used for that the authorization of platform fine granularity to be realized,
Each tenant in platform can bind multiple customized roles, and every kind of role can be tied to different resources simultaneously and produce
Product, it is thus achieved that authorization of the tenant to different resource product, while role can also be bound by unbinding, change tenant
Etc. modes realize access control.
Authorization subsystem ensure that controlled access of the user level to product, on the other hand use resource product for user
Related resource measurement problem is also a platform important content in need of consideration in the process.Therefore face is present embodiments provided
The statistics sub system of metering is used to calculating, storage and remote sensing big data product resource.
Parsing and processing of the statistics sub system for the classification Charging Detail Record unit of remotely-sensed data, including user's remotely-sensed data
Usage track module, resource usage statistical module and remotely-sensed data parsing module, Fig. 3 are that the disclosure implements remotely-sensed data parsing mould
The structural schematic diagram of block.As shown in figure 3, statistics sub system is in overall workflow for connecting operation system (the i.e. big number of remote sensing
According to service system) and charge subsystem hinge, function is that counting user is calculated in remote sensing big data service system, stored
With the resource usage information of Remote Sensing Products.
Conventional cloud platform charging system is stored for data mainly for the occupied memory space of resource itself and use
Duration, and remotely-sensed data itself, due to being related to different satellites, sensor and resolution ratio, data value is different, in order to make
System support remotely-sensed data feature simultaneously realizes billing function, thus a kind of parsing for remotely-sensed data of system top-level design and
Processing module.
Satellite remote sensing date, in order to facilitate processing operation, is devised since its storage format of different satellite datas is different
Remotely-sensed data parsing module allows to support the parsing of a variety of satellite datas.Remotely-sensed data parsing module passes through data packet solution
The partial data of precipitation can be stored by full formatization into satellite parametric reduction search library, passed through the important parameter of charge system: being defended
Asterisk knowledge, sensor identification, resolution ratio, time range, spatial dimension etc. generate Charging Detail Record unit mark；The mark is for uniquely marking
Know the data of the sensor acquisition of some resolution ratio of same satellite, its charging list of the multiple and different resolution ratio of same satellite
Member mark is different.User data operates tracing module according to the mark, tracks access situation of the user to data, typing to base
In plinth Charging Detail Record unit template library, for the basis for pricing as pricing module, finally charging policy can be determined according to one-price system.
Fig. 4 is the interaction schematic diagram that the disclosure implements statistics sub system and charge subsystem.As shown in figure 4, statistics subsystem
User's remotely-sensed data usage track module is tracked user data operation, concurrently by obtaining user journal information in system
It send to dosage analysis task module；Resource usage statistical module collects resource complete lifecycle data by data acquisition module
And store to resource life cycle data library, meanwhile, which is connected to dosage analysis task module.
The dosage analysis task module of statistics sub system determines on-demand or contract charged party by executing periodic task
Formula, and the information such as bill, log are pushed, it can be realized by notice service and resource control service for resource charging mode difference
Control to resource status, at the same be related to charging, scene of deducting fees when can activate billing of services, billing of services passes through tactical management mould
The sequence of maneuvers such as block calculates actual cost, and the realization of finance service system is notified to deduct fees, and bill generates.
As shown in figure 4, charge subsystem includes billing of services module and policy management module.Policy management module is not according to
Charging policy is determined with resource product state and product type, since the life cycle data of resource is entire charge system design
Key, especially every a kind of tenant order after resource product state and product type.Policy management module is directed to product not
With state be determined that billing of services needs to analyze charging policy under corresponding states, such as cloud main computer boxes, according to on-demand charging
Mode is different in the rate of normal operating condition and off-mode；And the type difference of product then directly determines it
The selection for the specific charging policy supported such as can support different types of use and charging plan for remote sensing high score data product
Slightly.The present embodiment can support on-demand and contract charging simultaneously.
When wherein, using on-demand charging, system can be according to charge unit (such as member/hour, GB/ hours) in charging granularity week
It carries out metering to charging object in phase to deduct fees, consumer uses duration without payment expense in advance, without promising to undertake.The charged party
Formula is suitble to resource with with scene is destroyed, and can effectively reduce use cost.Charging granularity herein is according to different resource types
It is slightly different, is such as directed to cloud host instances, it is then the period according to hour for storage that Amazon platform supports second grade charging at present
Charging.
When using contract charging, which generally uses contract mode to arrange resource using duration, such as rents 1 year
Or 2 years, and it is identical as on-demand charging mode to the charging mode of resource and implementation method in about fixed cycle.Contract charging is used
Family needs payment contract agreement expense in advance and is billed system to freeze.The generally more on-demand charging unit price of the charging mode is more just
Preferably, it is suitble to long periodicity to rent resource scene.
For on demand and contract charging mode, two ways there is no especially marks, they in bottom layer realization mode
It is upper similar, in terms of main difference is embodied in following two in the design:
1) process of deducting fees is different.Contract charging and fee-deducting occurs during resource ordering, and on-demand charging and fee-deducting occurs
User is in the use process of resource；
2) the real-time deduction amount of money is different in subscription procedure.The contract real-time deduction amount of money is that the resource product is ordering duration
The total cost of period deducts fees then only deduct the amount of money in metering period on demand, the expense in generally one minute, if producing in the period
Product, which are destroyed then calculate by the second, returns the extra amount of money.
3) the resource metering and billing mission-enabling period is different.Contract charging generally executes task using hour, day as the period,
Granularity is bigger, and on-demand charging then generally executes metering tasks using second, minute as the period, and granularity is smaller and in order to which charging is accurately general
It needs to activate independent resources-tasks timer.
Fig. 5 is the structural schematic diagram that the disclosure implements charge subsystem.As shown in figure 5, billing of services module passes through product
Order parameter and associated billing of services module are set price calculating parameter, and are passed through operation output and calculated price result.Institute
Stating billing of services module includes that pricing module, price modifier and conditional combination device, concrete composition are described as follows:
Pricing module: for describing platform resource basis Charging Detail Record unit, including Charging Detail Record unit and its monovalent each single item are valences
The working foundation on the basis of lattice operation unit and the foundation of setting unit price and price modifier and conditional combination device, each single item
Charging Detail Record unit can flexible setting support charging mode.
Price modifier: it is mainly modified according to conditional combination device implementing result strike price and operates, a conditional combination
Device can bind multiple price modifiers.
Conditional combination device: being mainly used for package price filter condition and is tied to charging policy, and charging policy can be with
Multiple conditional combination devices are bound, but each conditional combination device needs to be assembled by relational operator, present condition combiner
Support "or" and AND operation symbol.For example, it is more than if charging policy supports that setting cloud host orders 3 while ordering duration
1 year, price halved, then needed to set conditional combination device two, was lot-size conditional filter and order duration mistake respectively
Filter, and the price modifier bound only needs to be set as ordering price to halve.
Its calculated value of price modifier PM during specific implementation, in same charging policypriceFollowing formula is followed,
Wherein PMiIdentify i-th of modifier, and each modifier is expressed as follows:
PMi=PUi× α, 0≤α≤1
Wherein, PUiIndicate PMiEmployed in i-th of Charging Detail Record unit, α indicate discount, do not give a discount if 1 expression.It is logical
Strike price modification operation is crossed, system can finally calculate the final calculating amount of money that the modifier is obtained.
And its calculated result of conditional combination device FCpriceThen follow following formula:
CiIndicate that i-th of combiner, each conditional combination device are also referred to as
PUiσ V, σ ∈ [≤, >=, ≡]
σ indicates the relational operator supported, can support three kinds of relational calculuses, and V indicates PUiThe condition value of required setting,
FCpriceValue only there are two types of, true or false, be mainly used for the final judgement of Rule of judgment combiner as a result, if
True then indicates to execute the price modifier operation bound in it, to obtain the final amount of money；The mistake is then skipped if false
Filter.
In the present embodiment charge subsystem by calculating, storage and the remotely-sensed data Product Definition in remote sensing big data platform at
Different resource products makes role by oneself by the charging policy of setting resource product and the one or more of binding, will authorization
System is associated with charge subsystem, and user's authorization can carry out flexible expansion by making role by oneself, more by defining
A charging policy supports the flexible charging of resource product, and final tenant is realized by order-resource product and selection charging mode
The flexible authorization of entire plateform system and the unification of a variety of charging modes, by based on conditional combination device and price modifier
Framework simultaneously combines the related information generated a variety of complementary function such as bill may be implemented, supplement with money, continue to pay dues, consuming, auditing, notifying
Can, show good scalability.
In second embodiment of the disclosure, the fine-grained user for providing a kind of remote sensing big data cloud authorizes resource meter
Charging method, the charging method process of charge system as shown in FIG. 6, comprising:
S1) charge system receives the notice that tenant initiates purchase resource ordering order in remote sensing big data service system,
Judge whether tenant has permission to ordering products, the request can be refused if being not authorized to, otherwise can go to step S2；
S2 after) billing of services system receives request, according to order data, product information is generated；According to product information, and
The corresponding pricing strategy of product calculates the expense detail of all products in order, finally summarizes to charging；
S3 it) is generated according to the expense calculated result in step S2 and is withholdd bill in real time, and real-time reception bill is withholdd state.
Fig. 7 is the flow chart that the disclosure implements billing of services.The realization of the step S2 is as shown in fig. 7, order order reality
When the amount of money show and actual subscription process all refers to expense calculation process.Its calculating process first can split order, press
Expense detail is calculated according to pricing strategy and product parameters, and the expense detail of the product resource is stored, is the life of later bill
Convenience is provided at account maintenance, after charging detail statistics, calculates all-in charge, charging sum is sent to billing and accounting system
Meanwhile it also being stored in systems.
In the step S2, by production unit cost, type, quantity, duration, charging mode being related in order etc. into
Row analysis, and is collected the details of the relevant resource of product or data, such as the details of cloud host, cloud hard disk,
Convenient for the maintenance and statistics of subsequent tenant's resource and purchase product.
In the step S3, billing and accounting system is sent to according to the bill of withholing that the expense calculated result in step S2 generates,
Billing and accounting system is withholdd in real time.It is performed both by the operation of withholing for on-demand and contract mode charging, contract charging executes
Be disposably to deduct fees, on-demand charging executes minimum particle size withholding fee, and calculation is shown in expense calculation process.It withholds completion
Afterwards, billing and accounting system is issued a notice task, information notice of withholing is sent to tenant through notice system, to complete resource ordering stream
Journey.
So far, attached drawing is had been combined the embodiment of the present disclosure is described in detail.It should be noted that in attached drawing or saying
In bright book text, the implementation for not being painted or describing is form known to a person of ordinary skill in the art in technical field, and
It is not described in detail.In addition, the above-mentioned definition to each element and method be not limited in mentioning in embodiment it is various specific
Structure, shape or mode, those of ordinary skill in the art simply can be changed or be replaced to it.
In addition, unless specifically described or the step of must sequentially occur, there is no restriction in the above institute for the sequence of above-mentioned steps
Column, and can change or rearrange according to required design.And above-described embodiment can be based on the considerations of design and reliability, that
This mix and match is used using or with other embodiments mix and match, i.e., the technical characteristic in different embodiments can be freely combined
Form more embodiments.
Algorithm and display are not inherently related to any particular computer, virtual system, or other device provided herein.
Various general-purpose systems can also be used together with teachings based herein.As described above, it constructs required by this kind of system
Structure be obvious.In addition, the disclosure is also not for any particular programming language.It should be understood that can use various
Programming language realizes content of this disclosure described herein, and the description done above to language-specific is to disclose this public affairs
The preferred forms opened.
The disclosure can by means of include several different elements hardware and by means of properly programmed computer come
It realizes.The various component embodiments of the disclosure can be implemented in hardware, or to run on one or more processors
Software module is realized, or is implemented in a combination thereof.It will be understood by those of skill in the art that can be used in practice micro-
Processor or digital signal processor (DSP) are some or all in the relevant device according to the embodiment of the present disclosure to realize
The some or all functions of component.The disclosure be also implemented as a part for executing method as described herein or
Whole device or device programs (for example, computer program and computer program product).Such journey for realizing the disclosure
Sequence can store on a computer-readable medium, or may be in the form of one or more signals.Such signal can
To download from internet website, perhaps it is provided on the carrier signal or is provided in any other form.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Member or component are combined into a module or unit or component, and furthermore they can be divided into multiple submodule or subelement or
Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.Also, in the unit claims listing several devices, several in these devices can be by same hard
Part item embodies.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each open aspect,
Above in the description of the exemplary embodiment of the disclosure, each feature of the disclosure is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
The disclosure of shield requires features more more than feature expressly recited in each claim.More precisely, as following
Claims reflect as, open aspect is all features less than single embodiment disclosed above.Therefore,
Thus the claims for following specific embodiment are expressly incorporated in the specific embodiment, wherein each claim itself
All as the separate embodiments of the disclosure.
Particular embodiments described above has carried out further in detail the purpose of the disclosure, technical scheme and beneficial effects
Describe in detail it is bright, it is all it should be understood that be not limited to the disclosure the foregoing is merely the specific embodiment of the disclosure
Within the spirit and principle of the disclosure, any modification, equivalent substitution, improvement and etc. done should be included in the guarantor of the disclosure
Within the scope of shield.
Claims (10)
1. a kind of remote sensing big data authorizes charge system, comprising:
Authorization subsystem, the fine granularity resource for cooperated computing, storage, remotely-sensed data are grading authorized；
Statistics sub system, including remotely-sensed data parsing module, user's remotely-sensed data usage track module and user resources dosage system
Count module；
Charge subsystem, including billing of services module and policy management module are used for the cloud computing of remote sensing big data, storage, remote sensing
Aggregation of data charging and clearing.
2. remote sensing big data according to claim 1 authorizes charge system, wherein the authorization subsystem is by user, angle
Color, Remote Sensing Products classification authorization realized by the way of map bindings, the role and access that user is set by binding system
Grade to the role assign authorization resources access authority, and by binding role and Permission Levels mode carry out it is distant
Feel the access control of product.
3. remote sensing big data according to claim 1 authorizes charge system, wherein the authorization subsystem, supports system
Role and data level are customized, and by the role bindings to different users and Remote Sensing Products, while providing certainly for user
The authorising conditional of definition, including satellite, sensor, the setting of time, spatial dimension.
4. remote sensing big data according to claim 1 authorizes charge system, the remotely-sensed data parsing module passes through number
The partial data gone out according to Packet analyzing can be stored by full formatization into satellite parametric reduction search library, pass through the important ginseng of charge system
Number generates Charging Detail Record unit mark, and the parameter includes satellite mark, sensor identification, resolution ratio, time range, spatial dimension；
Data of the mark for the sensor acquisition of some resolution ratio of same satellite of unique identification, same satellite are multiple and different
Its Charging Detail Record unit of resolution ratio identify it is different；The mark for tracking user to the access situation of data, count by typing to basis
Take in unit template library, for the basis for pricing as pricing module, formulates charging policy.
5. remote sensing big data according to claim 1 authorizes charge system, user's remotely-sensed data usage track module is logical
Acquisition user journal information is crossed, user data operation is tracked, and be sent to dosage analysis task module；Resource usage system
Meter module is by data acquisition module collection resource complete lifecycle data and stores to resource life cycle data library, together
When, which is connected to dosage analysis task module.
6. remote sensing big data according to claim 5 authorizes charge system, the dosage analysis task mould of statistics sub system
Block determines on-demand or contract charging mode by executing periodic task, and pushes the information such as bill, log, for resource meter
The mode difference of expense can realize the control to resource status by notice service and resource control service, while being related to charging, deducting fees
Billing of services is activated when scene.
7. remote sensing big data according to claim 5 authorizes charge system, charge subsystem includes billing of services module
And policy management module, wherein
Policy management module determines that charging policy, the charging policy include pressing according to different resource Product Status and product type
Need and/or contract charging；
Billing of services module includes pricing module, price modifier and conditional combination device, by product order parameter and associated
Billing of services module set price calculating parameter, and pass through operation output and calculate price result.
8. a kind of remote sensing big data authorizes charging method, using such as described in any item charging methods of claim 1-7, packet
It includes:
S1, charge system receive the notice that tenant initiates purchase resource ordering order in remote sensing big data service system, judgement
Whether tenant has permission to ordering products, can refuse the request if being not authorized to, otherwise go to step S2；
S2 after billing of services system receives request, according to order data, generates product information, according to the product information of generation, with
And the corresponding pricing strategy of product, the expense detail of all products in order is calculated, finally charging is summarized；
S3 is generated according to the expense calculated result in step S2 and is withholdd bill in real time, and real-time reception bill is withholdd state.
9. remote sensing big data according to claim 8 authorizes charge system, first when calculating expense in the step S2
First order is split, calculates expense detail according to pricing strategy and product parameters, and by the expense detail of the product resource
Storage is counted according to charging detail, is calculated all-in charge, and charging sum is sent to billing and accounting system, at the same in systems into
Row storage.
10. remote sensing big data according to claim 8 authorizes charge system, in the step S3, according in step S2
Expense calculated result generate bill of withholing be sent to billing and accounting system, billing and accounting system is withholdd in real time, wherein contract meter
What expense executed is disposably to deduct fees, and on-demand charging executes minimum particle size withholding fee；After the completion of withholing, billing and accounting system is issued a notice
Task sends information notice of withholing to tenant through notice system.
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| CN201811153466.XA CN109615357A (en) | 2018-09-30 | 2018-09-30 | The fine-grained user of remote sensing big data cloud authorizes resource charge system and method |
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| CN201811153466.XA CN109615357A (en) | 2018-09-30 | 2018-09-30 | The fine-grained user of remote sensing big data cloud authorizes resource charge system and method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110827127A (en) * | 2019-11-12 | 2020-02-21 | 河北建投水务投资有限公司 | Multi-tenant management system |
| CN113901158A (en) * | 2021-09-26 | 2022-01-07 | 北京和德宇航技术有限公司 | Satellite remote sensing data ordering service system |
| CN114240416A (en) * | 2021-11-17 | 2022-03-25 | 上海浦东发展银行股份有限公司 | Data processing method, data processing device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020078194A1 (en) * | 2000-12-20 | 2002-06-20 | Murty Neti | Resource management and billing system for a broadband satellite communications system |
| CN102365840A (en) * | 2009-01-28 | 2012-02-29 | 海德沃特合作I有限公司 | Open transaction central billing system |
| CN104933607A (en) * | 2015-05-27 | 2015-09-23 | 中国科学院遥感与数字地球研究所 | Satellite remote sensing data order service system |
| CN108171540A (en) * | 2017-12-26 | 2018-06-15 | 北京星河星云信息技术有限公司 | For the method and apparatus of resource metering and billing |
-
2018
- 2018-09-30 CN CN201811153466.XA patent/CN109615357A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020078194A1 (en) * | 2000-12-20 | 2002-06-20 | Murty Neti | Resource management and billing system for a broadband satellite communications system |
| CN102365840A (en) * | 2009-01-28 | 2012-02-29 | 海德沃特合作I有限公司 | Open transaction central billing system |
| CN104933607A (en) * | 2015-05-27 | 2015-09-23 | 中国科学院遥感与数字地球研究所 | Satellite remote sensing data order service system |
| CN108171540A (en) * | 2017-12-26 | 2018-06-15 | 北京星河星云信息技术有限公司 | For the method and apparatus of resource metering and billing |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110827127A (en) * | 2019-11-12 | 2020-02-21 | 河北建投水务投资有限公司 | Multi-tenant management system |
| CN113901158A (en) * | 2021-09-26 | 2022-01-07 | 北京和德宇航技术有限公司 | Satellite remote sensing data ordering service system |
| CN114240416A (en) * | 2021-11-17 | 2022-03-25 | 上海浦东发展银行股份有限公司 | Data processing method, data processing device, computer equipment and storage medium |
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