CN113064715A - Load balancing and cache center system and wind control system for financial field - Google Patents
Load balancing and cache center system and wind control system for financial field Download PDFInfo
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Abstract
The invention discloses a load balancing and caching center system and a wind control system used in the financial field, which realize concurrent processing of services in the financial wind control system through load balancing and ensure the data correctness and integrity of wind control service requests in the financial wind control system through a data caching center. The technical scheme is as follows: the load balancing system is used for realizing uniform distribution of the wind control service request by dynamically maintaining the state of each service unit in the low-timeliness service group module of the financial wind control system; the cache center system is used for ensuring the correctness and the integrity of service request data by realizing the sub-service data caching of user session granularity.
Description
Technical Field
The invention relates to the implementation of a wind control system in the financial field, in particular to a load balancing and cache center system used in the financial field and a financial wind control system applying the load balancing and cache center system.
Background
The financial wind control system supports a plurality of business functions with complex logics, the system needs to process various complex business requests initiated by single or a plurality of business personnel, and the calculated amount of part of business is extremely large. The same set of wind control systems may be used by the wind control business team to process business requests. When multiple tasks are initiated simultaneously, obvious blocking or waiting phenomena are easy to occur, and the concurrent service processing needs are urgently needed to be realized. How to design concurrent processing of multiple services and implement load balancing of computing tasks among multiple services is one of the problems to be solved urgently in the industry.
The main functions of the wind control system can be divided into two types according to timeliness: one type is high-timeliness service, the service processing time delay is low, and a program can complete calculation in a very short time; the other is low-aging service, which has high computational complexity and consumes a long processing time for a single service request. Due to the existence of low failure service, the wind control computing task is blocked for too long time.
In addition, a single business operation may involve a plurality of business objects, limited by the communication protocol, business personnel need to submit data to the server in batches; on the other hand, part of the services controlled by the wind need to support service personnel to use a self-defined parameter template for calculation, namely, a single service request needs to be strictly bound with the corresponding parameter information. Therefore, how to guarantee the data correctness and integrity of the wind-controlled service request is also one of the problems to be solved in the art.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems and provides a load balancing and caching center system and a wind control system for the financial field, service concurrent processing in the financial wind control system is realized through load balancing, and data correctness and integrity of wind control service requests in the financial wind control system are ensured through a data caching center.
The technical scheme of the invention is as follows: the invention discloses a load balancing and cache center system for the financial field, which comprises a load balancing system and a cache center system, wherein:
the load balancing system is used for dynamically maintaining the state of each service unit in the low-timeliness service group module of the financial wind control system and realizing the uniform distribution of the wind control service request;
and the cache center system is used for ensuring the correctness and the integrity of the service request data by realizing the sub-service data caching of the user session granularity.
According to an embodiment of the load balancing and cache center system for the financial field of the present invention, the load balancing system includes a service real-time status maintaining unit and a service selecting unit, wherein:
the service real-time state maintenance unit is used for initializing and dynamically maintaining the real-time state of each service unit in the low-timeliness service group module;
and the service selection unit is used for selecting a service unit with an idle state from the low-aging service group module.
According to an embodiment of the load balancing and cache center system for the financial field of the present invention, the service real-time status maintenance unit is further configured to, when the load balancing system receives a low-aging service request, select one of the service units in an idle state to be responsible for the service processing of the low-aging service request, and set the service unit in a busy state; and the reset mechanism of the service unit state is realized through the service state report between the service unit and the load balancing system.
According to an embodiment of the load balancing and cache center system for the financial field of the present invention, the service selection unit selects the idle unit based on a sequential lookup algorithm: and traversing all the service units in sequence, stopping searching when a first idle service unit is found, designating the service unit to be responsible for processing the low-aging service request, returning an error if any idle service unit does not exist, and updating the state of the service unit by the service real-time state maintenance unit after the selection is finished.
According to an embodiment of the load balancing and cache center system for the financial field, the cache center system comprises a plurality of session units, isolation of different sessions is achieved to prevent background data confusion, and a plurality of service parameter data and request data are cached in each session unit to simultaneously process different requests from the same service operation end.
According to an embodiment of the load balancing and cache center system for the financial field of the present invention, the cache center system is further configured to: when a low-aging service request is received, the cache center system starts to cache service data which are related to the low-aging service request and comprise service parameter data and request data, when the cache center system receives a finish mark, the completion of the complete service data caching is known, after the data packaging is completed and the data is sent to an idle service unit in the financial wind control system, the cache center system empties the cached service data, and if the idle service unit does not exist in the current financial wind control system, the cache data can be emptied.
According to an embodiment of the load balancing and cache center system for the financial field, the cache center system is further configured with an exception handling mechanism, and exception data in the cache is automatically cleared when an exception occurs in the system.
The invention also discloses a financial wind control system, which comprises a core service module, a low-timeliness service group module, a data queuing machine module, a wind control front module and an external wind control business operation end module, wherein:
the core service module is used for processing high-timeliness services in the wind control services;
the low-timeliness service group module is used for processing low-timeliness services in the wind control services;
the data queuing machine module is used for connecting all data sources of the financial wind control system server, summarizing and sequencing all data, and issuing a sequenced result to the core service module;
the wind control preposition module is used for collecting the service request of the wind control service operation end module and sending the service request data to the data queuing machine module, and on the other hand, the processing results of the core service module and the low-timeliness service group module are sent to the wind control service operation end module;
the wind control business operation end module is an initiator of wind control business personnel for realizing various wind control business requests, and is also responsible for receiving and displaying response data and push data sent by the wind control front-end module;
the system comprises a core service module, a wind control front-end module and a wind control front-end module, wherein the core service module comprises a high-aging service processing unit and the load balancing and caching center system as claimed in any one of claims 1 to 7, the high-aging service processing unit is used for processing a high-aging service request initiated by the wind control service operation end module and issuing a processing result to the wind control front-end module, and on the other hand, the core service module automatically executes logic including fund early warning check and abnormal transaction judgment according to background data change and pushes generated data to the wind control front-end module;
the low-timeliness service group module comprises a plurality of service units for concurrently processing a plurality of wind control service requests.
According to an embodiment of the financial wind control system of the present invention, each service unit of the low-aging service set module comprises:
the pressure trial calculation unit is configured to flexibly adjust trial calculation parameters including the guaranteed fund rate and the price type by service personnel so as to perform trial calculation on investors;
a member pre-settlement unit configured to settle the member in advance based on the estimated settlement price;
the board stopping trial calculation unit is configured to simulate the risk resistance of the investors under the condition that the trading exchange has the extreme market of continuous board stopping;
and the equity reverse trial unit is configured to evaluate the risk resistance of the investor and verify the market fluctuation range which can be borne by the current available fund of the investor.
Compared with the prior art, the invention has the following beneficial effects: the system of the invention is designed and realizes a set of flexible and transversely expandable server-side framework aiming at low-timeliness service on the basis of wind control service classification. By a load balancing mechanism among the multiple service units and the data cache center, on the premise of ensuring the data correctness and integrity of the wind control service request, the concurrent processing of wind control multiple tasks is realized, so that the requirement of service personnel for concurrently executing the wind control service is met.
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The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments of the disclosure in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
FIG. 1 shows an architectural diagram of an embodiment of the financial wind control system of the present invention.
FIG. 2 is a schematic diagram of an embodiment of the load balancing and cache center system for the financial domain of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only exemplary and should not be construed as imposing any limitation on the scope of the present invention.
FIG. 1 illustrates the architecture of an embodiment of the financial wind control system of the present invention. As shown in fig. 1, the financial wind control system of the present embodiment includes: the system comprises a core service module, a low-timeliness service group module, a data queuing machine module, a wind control front module and an external wind control business operation end module.
The core service module and the low-timeliness service group module establish unidirectional data transmission, and the transmitted data comprises: request data of various low-timeliness services and parameter information bound with the request data.
The method comprises the following steps that bidirectional data transmission is established between a wind control service operation end module and a wind control front module, and data transmitted from an operation end to a front direction comprise: service request data and parameter information; the data transmitted from the front end to the operation end comprises various service response data and service data actively pushed by the background.
And the wind control front module and the data queuing machine module as well as the data queuing machine module and the core service module respectively establish one-way data transmission. The data transmitted by the former module is the data collected by the wind control front module from the wind control service operation end module; the latter then sends the data and the data gathered from other modules (not shown in the figure) to the data queue module to the core service module in a unified way.
And each service unit in the core service module and the low-aging service group module establishes unidirectional data transmission with the wind control front-end module respectively. And the core service module sends request response data and push type data to the wind control front module. And the low-timeliness service group module only sends service response data to the wind control preposed module.
The core service processed by the core service module is a high-timeliness service with a small calculation task in the wind control service, and comprises early warning, notification reminding, strong and smooth processing, list removing processing, right of way recommendation and the like.
The low-timeliness service processed by the low-timeliness service group module refers to a service with higher calculation resource consumption in the wind control service, and the low-timeliness service comprises pressure trial calculation, pre-settlement, board stop trial calculation and the like.
The data queuing machine module is connected with all data sources (including the wind control front-end module and other modules) of the financial wind control system server, collects and sequences all data, and issues the sequenced result to the core service module.
The wind control front module realizes the following functions: on one hand, the method comprises the steps of collecting service requests of a wind control service operation end module, and sending service request data to a data queuing machine module; on the other hand, the processing results (including response data and push data) of the core service module and the low-timeliness service group module are sent to the wind control service operation end module.
The wind control business operation end module is a terminal used by wind control business personnel daily and is an initiator of various wind control business requests. Meanwhile, the wind control front module is also responsible for receiving response data and push data sent by the wind control front module and displaying the data. In addition, the wind control service operation end module also has the function of managing the parameters of the wind control system.
Furthermore, the core service module comprises a high-timeliness service processing unit and a load balancing and cache center system.
The high-timeliness service processing unit has the functions of: on one hand, processing a high-timeliness service request (including a strong leveling process, a list removing process, a right recommendation and the like) initiated by a wind control service operation end module, and issuing a processing result to a wind control front-end module; on the other hand, the unit automatically executes logics such as fund early warning inspection, abnormal transaction judgment and the like according to background data change, and pushes generated data to the wind control preposed module.
Furthermore, the low-timeliness service group module comprises N service units which can be flexibly and transversely expanded to process a plurality of wind control service requests in a concurrent mode, and each service unit comprises a pressure trial calculation unit, a member pre-settlement unit, a stop board trial calculation unit and a right and interest reverse trial calculation unit.
The pressure trial calculation unit has the functions of: and business personnel are supported to flexibly adjust trial calculation parameters such as the deposit rate, the price type and the like, so that trial calculation is carried out on investors.
The member pre-settlement unit has the functions of: and (4) settling the member in advance based on the estimated settlement price of the system. The member can be assisted to carry out the money-drawing operation from the exchange every day, and the maximization of the fund utilization is realized.
The function of the stop board trial calculation unit is as follows: and simulating the extreme market condition of continuous board stopping of the exchange, and evaluating the risk resistance of the investor.
The right reverse trial calculation unit has the functions as follows: another means of assessing the investor's ability to resist risk is to verify the extent of market fluctuations that the investor can tolerate with respect to the currently available funds.
Fig. 2 shows an embodiment of a load balancing and cache center system, and the load balancing and cache center system for the financial field of this embodiment includes a cache center system and a load balancing system.
The load balancing system has the functions of: the uniform distribution of the wind control service requests is realized by dynamically maintaining the state of each service unit 1-N in the low-aging service group module and realizing a specific selection algorithm (such as a sequential search algorithm mentioned below).
The load balancing system comprises a service real-time state maintenance unit and a service selection unit.
And the service real-time state maintenance unit is responsible for initializing and dynamically maintaining the real-time state of each service unit in the low-timeliness service group module. Each service unit may be in both an "idle" or "busy" state and each service unit is initialized to an "idle state". When the load balancing system receives a low-aging service request, one of the service units in the idle state is selected to be responsible for the service processing of the request. At this point, the serving cell is placed in a "busy" state. In order to continuously process subsequent request tasks by energy sources, the invention realizes the reset mechanism of the service unit state through the service state report between the service unit and the load balancing system. After the service unit completes a specific service request and issues a service response to the wind control front-end module, the service unit sends a service state report to the load balancing system. The load balancing system resets the state of the service unit to 'idle' according to the service unit sequence number information contained in the service state report.
And the service selection unit is responsible for selecting a service unit with an idle state from the low-aging service group module. In order to simplify the algorithm implementation, the invention uses a naive sequential search algorithm to select the idle unit. That is, all the service units are traversed sequentially, when the first idle service unit is found, the search is stopped, and the service unit is assigned to be responsible for processing the service request. If there is no free service unit, an error is returned. After the selection is completed, the service real-time state maintenance unit updates the state of the service unit.
The cache center system has the functions as follows: by realizing the sub-service data caching of the user session granularity, the correctness and the integrity of the service request data are ensured.
The cache center system further comprises N session units in order to ensure that the system can handle service requests from different operators simultaneously. By realizing a plurality of session units, the thorough isolation of different sessions is realized, the disorder of background data can be prevented, and the data accuracy of the service request is ensured. Meanwhile, each session unit can buffer N service parameter data and request data, which is to make the system process different requests from the same service operation terminal at the same time.
In this way, the system has concurrent processing capacity with two dimensions of multi-session and single-session multi-service.
When a specific low-aging service request is received, the cache center system starts to cache service parameter data and request data related to the request. The system represents that the request is sent through a special ending mark. When the cache center receives the mark, it represents that the cache of a complete service data (i.e. service parameter data + request data) is completed. After the data package is completed and the data is sent to a specific service unit, the cache center empties the cache data. If no idle service unit exists currently, the cache data is also emptied.
In addition, the cache center system is also provided with an exception handling mechanism, when the system is abnormal, the abnormal data in the cache is automatically cleared, and the consistency and the integrity of the service data are ensured. For example, when the connection between the operation end of a certain service person and the background is abnormally disconnected, the cache center system automatically empties the cache data of all service types in the session unit.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood by one skilled in the art.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disc), as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disks) usually reproduce data magnetically, while discs (discs) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A load balancing and cache center system for the financial field is characterized in that the system comprises a load balancing system and a cache center system, wherein:
the load balancing system is used for dynamically maintaining the state of each service unit in the low-timeliness service group module of the financial wind control system and realizing the uniform distribution of the wind control service request;
and the cache center system is used for ensuring the correctness and the integrity of the service request data by realizing the sub-service data caching of the user session granularity.
2. The load balancing and cache center system for financial field as claimed in claim 1, wherein the load balancing system comprises a service real-time status maintenance unit and a service selection unit, wherein:
the service real-time state maintenance unit is used for initializing and dynamically maintaining the real-time state of each service unit in the low-timeliness service group module;
and the service selection unit is used for selecting a service unit with an idle state from the low-aging service group module.
3. The system according to claim 2, wherein the service real-time status maintenance unit is further configured to, when the load balancing system receives a low-aging service request, select one of the service units in idle status to be responsible for the service processing of the low-aging service request, and simultaneously set the service unit in busy status; and the reset mechanism of the service unit state is realized through the service state report between the service unit and the load balancing system.
4. The system of claim 2, wherein the service selection unit selects the free unit based on a sequential search algorithm: and traversing all the service units in sequence, stopping searching when a first idle service unit is found, designating the service unit to be responsible for processing the low-aging service request, returning an error if any idle service unit does not exist, and updating the state of the service unit by the service real-time state maintenance unit after the selection is finished.
5. The load balancing and caching system for financial fields as claimed in claim 1, wherein the caching center system comprises a plurality of session units, wherein the isolation of different sessions is implemented to prevent background data confusion, and a plurality of service parameter data and request data are cached in each session unit to process different requests from the same service operator at the same time.
6. The load balancing and cache center system for the financial domain of claim 5, wherein the cache center system is further configured to: when a low-aging service request is received, the cache center system starts to cache service data which are related to the low-aging service request and comprise service parameter data and request data, when the cache center system receives a finish mark, the completion of the complete service data caching is known, after the data packaging is completed and the data is sent to an idle service unit in the financial wind control system, the cache center system empties the cached service data, and if the idle service unit does not exist in the current financial wind control system, the cache data can be emptied.
7. The load balancing and cache center system for financial applications as claimed in claim 6, wherein the cache center system is further configured with an exception handling mechanism for automatically clearing the exception data in the cache when an exception occurs in the system.
8. The utility model provides a finance wind control system, its characterized in that includes core service module, low ageing service group module, data queuing machine module, the leading module of wind accuse and outside wind accuse business operation end module, wherein:
the core service module is used for processing high-timeliness services in the wind control services;
the low-timeliness service group module is used for processing low-timeliness services in the wind control services;
the data queuing machine module is used for connecting all data sources of the financial wind control system server, summarizing and sequencing all data, and issuing a sequenced result to the core service module;
the wind control preposition module is used for collecting the service request of the wind control service operation end module and sending the service request data to the data queuing machine module, and on the other hand, the processing results of the core service module and the low-timeliness service group module are sent to the wind control service operation end module;
the wind control business operation end module is an initiator of wind control business personnel for realizing various wind control business requests, and is also responsible for receiving and displaying response data and push data sent by the wind control front-end module;
the system comprises a core service module, a wind control front-end module and a wind control front-end module, wherein the core service module comprises a high-aging service processing unit and the load balancing and caching center system as claimed in any one of claims 1 to 7, the high-aging service processing unit is used for processing a high-aging service request initiated by the wind control service operation end module and issuing a processing result to the wind control front-end module, and on the other hand, the core service module automatically executes logic including fund early warning check and abnormal transaction judgment according to background data change and pushes generated data to the wind control front-end module;
the low-timeliness service group module comprises a plurality of service units for concurrently processing a plurality of wind control service requests.
9. The financial wind control system according to claim 8, wherein each service unit of the underage service set module comprises:
the pressure trial calculation unit is configured to flexibly adjust trial calculation parameters including the guaranteed fund rate and the price type by service personnel so as to perform trial calculation on investors;
a member pre-settlement unit configured to settle the member in advance based on the estimated settlement price;
the board stopping trial calculation unit is configured to simulate the risk resistance of the investors under the condition that the trading exchange has the extreme market of continuous board stopping;
and the equity reverse trial unit is configured to evaluate the risk resistance of the investor and verify the market fluctuation range which can be borne by the current available fund of the investor.
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