CN110460632B - Order optimization method and system - Google Patents
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Abstract
The invention relates to the technical field of order data processing, in particular to a method and a system for optimizing an order; the method comprises the following steps: converting the received order data into tcp application data; establishing and maintaining connection with all tcp channels of the front-end processor; converting the received tcp application data into tcp protocol data; and routing the tcp protocol data waiting for being sent to the currently selected optimal tcp channel and sending the tcp protocol data to the corresponding front-end processor. The system comprises an order processing module, a path management module, a Tcp module, a data center module, a preferred decision module and a detection module, and the system executes the method. The invention provides an order optimization method and system, which are used for routing order data to a front-end processor with the highest processing performance by selecting an optimal tcp channel, so that the order processing performance is optimal, and the high-performance processing of transaction is guaranteed.
Description
Technical Field
The invention relates to the technical field of order data processing, in particular to an order optimization method and system.
Background
In high frequency trading system applications, futures high frequency trading is a form of automated trading that is characterized by speed, which utilizes sophisticated computer technology and systems to execute trades at speeds on the order of microseconds; therefore, the user needs to send order data to the exchange as soon as possible.
Trading all n front-end machines that accept orders for the counter (currently n is between 6 and 12); each futures provider has a large number of secondary counters connected with the n order front-end processors; specifically, as shown in fig. 1, first, the user sends the order data to the secondary order counter in a unified manner, and the secondary order counter sends the order data to the exchange front-end processor; secondly, the counter of the secondary order selects a front-end processor ip, and a tcp channel for order data communication is established; finally, the tcp channel is fixed and cannot be changed after being established; for example, the order counter of the next place allocates the tcp communication channel of the front-end 1 to the user 1, and the order operations of all the users 1 at the back can only interact with the front-end 1 through the tcp communication channel.
At present, the defects of the processing mode are mainly reflected in that after a tcp channel is established, order data of a user can only interact with a fixed front-end processor, automatic skip according to load is avoided, and the response speed of each front-end processor to order processing can be dynamically changed in the actual operation process of a system, so that the optimal performance of order processing cannot be guaranteed by only fixedly performing data interaction on a single front-end processor.
Disclosure of Invention
The embodiment of the invention provides an order optimization method and system, which are used for solving the problem that in the prior art, user order data can only interact with a fixed front-end processor and can not automatically jump according to load, so that when the user order data is fixed and only data interaction is carried out on a single front-end processor, high-performance processing of transaction can not be guaranteed.
In one aspect, an embodiment of the present invention provides an order optimization method, which specifically includes the following steps:
s1, converting the received order data into tcp application data;
s2, establishing and maintaining the connection with all the tcp channels of the front-end processor;
s3, converting the tcp application data into tcp protocol data;
s4, the tcp protocol data waiting for sending are routed to the currently selected optimal tcp channel and sent to the corresponding front-end processor.
Wherein the currently selected optimal tcp channel in the step S4 includes the following steps:
s41, receiving system context information, and analyzing and deciding the context information according to an optimal algorithm; the context information specifically comprises order processing performance statistics, protocol key field statistics of each tcp channel and order query performance statistics of each channel;
and S42, selecting the optimal tcp channel according with the user order data currently waiting to be sent.
The step S41 further includes actively detecting according to the self-optimization algorithm, specifically, actively sending a packet from the order level or the tcp level to the front-end processor for communication, and providing the packet to the optimization algorithm for calculation according to the feedback data.
Wherein the preferred algorithm in the step S41 includes a simple mode and an advanced mode.
In another aspect, an embodiment of the present invention provides an order optimization system, including:
the order processing module is used for converting the received order data into tcp application data;
the path management module is used for establishing and maintaining the connection between the path management module and all the tcp channels of the front-end processor; converting the tcp application data received into tcp protocol data; routing the tcp protocol data waiting for transmission to the currently selected optimal tcp channel and transmitting the tcp protocol data to the corresponding front-end processor;
and the Tcp module is responsible for Tcp communication of the order data.
Wherein the currently selected optimal tcp channel specifically comprises:
the data center module is used for counting the context information and sending the context information to the optimal decision module, wherein the context information specifically comprises order processing performance statistics of a front-end processor channel level and protocol key field statistics of each channel of a tcp layer;
the detection management module is used for counting the performance statistics of the order query of each channel and feeding back the performance statistics to the data center module;
the optimal decision module receives system context information and analyzes and decides the context information according to an optimal algorithm; and selecting an optimal tcp channel according with the current user order data.
The optimal decision module drives the detection management module to carry out active detection according to an optimal algorithm; the detection management module actively sends a packet from an order level or a tcp level to communicate with the front-end processor, and provides the packet to the optimal decision module for calculation according to feedback data.
Wherein the preferred decision module includes a simple mode and an advanced mode.
The invention provides an order optimization method and system, which are used for routing order data to a front-end processor with the highest processing performance by selecting an optimal tcp channel, so that the order processing performance is optimal, the high-performance processing of transactions is guaranteed, the development and maintenance cost is reduced, and the requirements of investors are met.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the technical description of the present invention will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
FIG. 1 is a schematic diagram of a prior art overall structure;
FIG. 2 is a flowchart illustrating an order optimization method according to an embodiment of the present invention;
FIG. 3 is a sub-flow diagram illustrating a preferred method of ordering according to an embodiment of the present invention;
FIG. 4 is a schematic overall structure diagram of an order optimization system according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a data center module of an order optimization system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a simple preferred decision mode structure of an order preferred system according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a high-level preferred decision mode structure of an order-preferred system according to an embodiment of the present invention;
reference numerals are as follows:
order processing module-1 channel management module-2 data center module-3
Preferably decision block-4 probes management block-5 Tcp block-6.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
FIG. 2 is a flowchart illustrating an order optimization method according to an embodiment of the present invention; as shown in fig. 2, the method specifically includes the following steps:
s1, converting the received order data into tcp application data;
s2, establishing and maintaining the connection with all the tcp channels of the front-end processor;
s3, converting the tcp application data into tcp protocol data;
s4, the tcp protocol data waiting for sending are routed to the currently selected optimal tcp channel and sent to the corresponding front-end processor.
The invention provides an order optimization method, which is characterized in that order data are routed to a front-end processor with the highest processing performance by selecting an optimal tcp channel, so that the order processing performance is optimal, and the high-performance processing of transaction is guaranteed.
Further, fig. 3 is a schematic sub-flow chart of an order optimization method according to an embodiment of the present invention, and as shown in fig. 3, the currently selected optimal tcp channel in step S4 includes the following steps:
s41, receiving system context information, and analyzing and deciding the context information according to an optimal algorithm; the context information specifically comprises order processing performance statistics, protocol key field statistics of each tcp channel and order query performance statistics of each channel;
s42, selecting an optimal tcp channel according with the user order data currently waiting to be sent; and transmitting the user order data which is being transmitted according to the optimal tcp channel selected last time.
Further, the step S41 includes actively detecting according to the self-optimization algorithm, specifically, actively sending a packet from the order level or the tcp level to the front-end processor, and providing the packet to the optimization algorithm for calculation according to the feedback data.
Further, the preferred algorithm in step S41 includes a simple mode and an advanced mode; the simple mode can directly realize the optimal algorithm in the FPGA; advanced mode, which in this case would be the preferred algorithm, is implemented using a CPU + GPU architecture using machine learning.
The embodiment of the invention provides an order optimization method, which is characterized in that an optimal tcp channel is selected, order data to be sent are routed to a front-end processor with the highest processing performance, so that the order processing performance is optimal, the high-performance processing of transactions is guaranteed, the development and maintenance cost is reduced, and the requirements of investors are met; meanwhile, the order optimization process achieves high real-time performance and accuracy and reliability.
Fig. 4 is a schematic overall structure diagram of an order optimization system according to an embodiment of the present invention, as shown in fig. 4, including:
the order processing module 1 is used for converting the received order data into tcp application data; sending out the tcp application data, and acquiring order feedback data from the selected path;
the path management module 2 is used for establishing and maintaining the connection between the tcp channels of all the front-end processors; converting the tcp application data received into tcp protocol data; routing the tcp protocol data waiting to be sent to the currently selected optimal tcp channel and sending the tcp protocol data to a corresponding front-end processor;
and the Tcp module 6 is responsible for Tcp communication of order data.
Specifically, the user organizes order data to be sent, and delivers the order data to a secondary order counter; the order processing module 1 in the secondary order counter firstly processes order data and packages the order data into Tcp application data in a transaction protocol format, and the path management module 2 establishes connection with all Tcp channels of the front-end processor through the Tcp module 6 and maintains all Tcp channels of the front-end processor; and the path management module 2 converts tcp application data waiting for being sent into pure tcp protocol data and sends the pure tcp protocol data to the corresponding front-end processor through the currently selected optimal tcp channel. For example, tcp application data is 16 bytes of data, and is subjected to a packing process by the path management module 2 to become tcp protocol data, where the protocol data includes an ip header + a tcp header + tcp path information (port + ip) + a sequence number + data, the path management module 2 maintains several paths of tcp links, if the maximum number of front-end processors is n, the maximum number of tcp links maintained by the path management module 2 is n, and if the currently selected optimal tcp channel is the second path, the path management module 2 routes the tcp protocol number waiting to be sent to the second path of tcp channel and sends the tcp protocol number to the corresponding front-end processor;
based on the above embodiment, fig. 5 is a schematic structural diagram of a system data center module for order optimization according to an embodiment of the present invention, as shown in fig. 5 and combined with fig. 4, a currently selected optimal tcp channel specifically includes:
the data center module 3 counts the context information and sends the context information to the optimal decision module, wherein the context information specifically comprises order processing performance statistics of a front-end processor channel level and protocol key field statistics of each channel of a tcp layer;
the detection management module 5 is used for counting the performance statistics of the order query of each channel and feeding back the performance statistics to the data center module 3; the order query data belongs to one of active packet sending types, and the packet sending cannot process congestion and violation on the front-end processor;
specifically, the data center module 3 is responsible for counting and storing the following three types of data for a period of time:
a. order processing performance data is from the order processing module 1; the method specifically comprises the steps of a front-end processor IP/port, an order key field, order processing time delay and the like;
b. the order inquiry feedback data comes from the detection management module 5; the method specifically comprises the steps of a front-end processor IP/port, an order query key field, order query processing time delay and the like;
the Tcp protocol layer data comes from the tcp module 6;
the optimal decision module 4 is used for receiving the system context information and analyzing and deciding the context information according to an optimal algorithm; and selecting an optimal tcp channel according with the order data of the current waiting user. Specifically, the data fed back by the data center module 3 is analyzed and processed to obtain an optimal front-end processor channel sequence which accords with the processing of the user order data waiting for transmission at present, and the subsequent order processing is routed to the optimal channel for transmission. For example, the decision module 4 determines and analyzes according to the current context information to obtain an optimal front-end processor channel sequence conforming to the current user order data processing waiting for transmission as the second channel, and the subsequent order data processing to be transmitted routes to the optimal second channel for transmission. The optimal decision module 4 quantitatively describes the processing speed difference between the front-end processors and predicts the processing speed change of a future fixed time period, so that the continuous performance advantage and the stability of the advantage of the intelligent routing system are ensured, and the optimal decision module adopts a statistical analysis and machine learning method.
Further, the optimization decision module 4 drives the detection management module 5 to perform active detection according to the self optimization algorithm; specifically, the detection management module 5 actively sends a packet from an order level or a tcp level to communicate with the front-end processor, and provides the packet to the optimal decision module 4 for calculation according to feedback data, so as to obtain more data to support more accurate and efficient decision. For example, the decision module 4 is preferably configured to, for a front-end processor without direct order response data, acquire relevant performance data by other methods and establish a corresponding relationship between the relevant performance data and the order response performance data if any, wherein a relatively effective method is that the decision module 4 is preferably configured to drive the detection management module 5 to send a query command, detect a corresponding speed of the front-end processor, and record the speed to the data center module 3, so that the decision module 4 is preferably configured to perform unified analysis, and thus, for a front-end processor without an order being routed, the front-end processor can also be selected as a route when appropriate, and similarly, a specific logic is to adopt a machine learning method.
Further, fig. 6 is a schematic structural diagram of a simple preferred decision mode of an order preferred system according to an embodiment of the present invention, and fig. 7 is a schematic structural diagram of a high-level preferred decision mode of an order preferred system according to an embodiment of the present invention, as shown in fig. 6 and fig. 7, a preferred decision module 4 includes a simple mode and a high-level mode, the simple mode and a preferred policy are relatively simple, and a preferred algorithm can be directly implemented in an FPGA; the conventional algorithm is used for calculating the fastest order processing performance, the fastest order query, the fastest tcp processing and the comprehensive comparison of busy states of tcp channels according to certain weight settings in a period of time to obtain the optimal channel. In the advanced mode, the optimization strategy is complex, more hardware resources are consumed by using FPGA operation, and the operation performance is not real-time enough; in this case, machine learning is used for optimal strategy calculation, a CPU + GPU architecture is used, processing calculation power is high, and decision results are accurate. Machine learning algorithms that can be used include: random forests, logistic regression, AdaBoost, neural networks, and the like.
The embodiment of the invention provides an order optimization system.A channel management module routes order data to be sent to a front-end processor with the highest processing performance by selecting an optimal tcp channel, so that the order processing performance is optimal, the high-performance processing of transaction is ensured, the development and maintenance cost is reduced, and the requirement of an investor is met; meanwhile, the order optimization process achieves high real-time performance and accuracy and reliability.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (3)
1. A method for optimizing an order is characterized by comprising the following steps:
s1, converting the received order data into tcp application data;
s2, establishing and maintaining the connection with all the tcp channels of the front-end processor;
s3, converting the tcp application data into tcp protocol data;
s4, routing the tcp protocol data waiting to be sent to the currently selected optimal tcp channel and sending the tcp protocol data to the corresponding front-end processor;
the currently selected optimal tcp channel in the step S4 includes the following steps:
s41, receiving system context information, and analyzing and deciding the context information according to an optimal algorithm; the context information specifically comprises order processing performance statistics, protocol key field statistics of each tcp channel and order query performance statistics of each channel;
the step S41 further includes actively detecting according to the self-optimization algorithm, specifically including actively sending a packet from an order level or a tcp level to communicate with a front-end processor, and providing the packet to the optimization algorithm for calculation according to feedback data;
and S42, selecting the optimal tcp channel according with the user order data currently waiting to be sent.
2. An order preference method as claimed in claim 1 wherein said preference algorithm in said step S41 includes a simple mode and an advanced mode.
3. A system for order optimization, comprising:
the order processing module (1) is used for converting the received order data into tcp application data;
the path management module (2) is used for establishing and maintaining the connection between the path management module and all tcp channels of the front-end processor; converting the received tcp application data into tcp protocol data; routing the tcp protocol data waiting to be sent to the currently selected optimal tcp channel and sending the tcp protocol data to a corresponding front-end processor;
a Tcp module (6) responsible for Tcp communication of said order data;
the currently selected optimal tcp channel specifically includes:
the data center module (3) is used for counting context information and sending the context information to the optimal decision module, wherein the context information specifically comprises order processing performance statistics of a front-end processor channel level and protocol key field statistics of each channel of a tcp layer;
the detection management module (5) is used for counting the performance statistics of the order query of each channel and feeding back the performance statistics to the data center module (3);
the optimal decision module (4) receives system context information, and analyzes and decides the context information according to an optimal algorithm; selecting an optimal tcp channel which accords with the current order data of a user waiting to be sent;
the optimal decision module (4) drives the detection management module (5) to carry out active detection according to an optimal algorithm; the method specifically comprises the steps that the detection management module (5) actively sends a packet from an order level or a tcp level to communicate with a front-end processor, and provides the packet to the optimal decision module (4) for calculation according to feedback data;
the preferred algorithm includes a simple mode and an advanced mode; the simple mode can directly realize the optimal algorithm in the FPGA; advanced mode, which in this case would be the preferred algorithm, is implemented using a CPU + GPU architecture using machine learning.
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