CN116737359A - Electronic commerce information processing method and system - Google Patents

Electronic commerce information processing method and system Download PDF

Info

Publication number
CN116737359A
CN116737359A CN202310429936.5A CN202310429936A CN116737359A CN 116737359 A CN116737359 A CN 116737359A CN 202310429936 A CN202310429936 A CN 202310429936A CN 116737359 A CN116737359 A CN 116737359A
Authority
CN
China
Prior art keywords
server
storage area
commerce data
stored
load
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202310429936.5A
Other languages
Chinese (zh)
Other versions
CN116737359B (en
Inventor
范智鹏
刘微
陈铭
邱泽国
赵志杰
孙华东
梅汪龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Harbin University of Commerce
Original Assignee
Harbin University of Commerce
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Harbin University of Commerce filed Critical Harbin University of Commerce
Priority to CN202310429936.5A priority Critical patent/CN116737359B/en
Priority to CN202311435748.XA priority patent/CN117370027A/en
Priority to CN202311435800.1A priority patent/CN117370028B/en
Publication of CN116737359A publication Critical patent/CN116737359A/en
Application granted granted Critical
Publication of CN116737359B publication Critical patent/CN116737359B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/56Provisioning of proxy services
    • H04L67/568Storing data temporarily at an intermediate stage, e.g. caching
    • H04L67/5682Policies or rules for updating, deleting or replacing the stored data

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The invention discloses an electronic commerce information processing method, which comprises the following steps: receiving, by a server, an e-commerce data processing request sent by a client; analyzing the electronic commerce data processing request by the server; after the server parses the e-commerce data processing request, determining, by the server, a first load to be applied to a processor of the server when the e-commerce data processing request is executed; determining, by the server, a current load of the processor; determining, by the server, a message transmission round trip time; determining, by the server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time; a determination is made by the server as to whether to send a feedback message to the client based on the first load, the current load, and the load change value.

Description

Electronic commerce information processing method and system
Technical Field
The present invention relates to the field of electronic commerce technologies, and in particular, to a method and a system for processing electronic commerce information.
Background
Electronic commerce is a business activity using information network technology as a means and commodity exchange as a center. In general, entities involved in electronic commerce generally include clients and e-commerce servers. The client transmits the e-commerce related information to the e-commerce server through a wired or wireless communication network, and then the e-commerce server provides corresponding services for the client based on the e-commerce related information transmitted by the client.
Disclosure of Invention
The invention provides an electronic commerce information processing method, which comprises the following steps: receiving, by a server, an e-commerce data processing request sent by a client; analyzing the electronic commerce data processing request by the server; after the server parses the e-commerce data processing request, determining, by the server, a first load to be applied to a processor of the server when the e-commerce data processing request is executed; determining, by the server, a current load of the processor; determining, by the server, a message transmission round trip time; determining, by the server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time; a determination is made by the server as to whether to send a feedback message to the client based on the first load, the current load, and the load change value.
In a preferred embodiment, the determining, by the server, whether to send the feedback message to the client based on the first load, the current load, and the load change value specifically comprises the steps of: if the sum of the first load, the current load and the load change value is larger than a predefined value, the server does not send a feedback message to the client; if the sum of the first load, the current load and the load change value is smaller than a predefined value, the server sends a feedback message to the client; wherein the method further comprises: after the client receives the feedback message, the client sends a new e-commerce data processing request to the server.
In a preferred embodiment, the e-commerce data processing request is a request to store e-commerce data, wherein the method further comprises: after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored; if the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area; if the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area.
In a preferred embodiment, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: judging the occupancy rate of the first storage area by a server; if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored in the first storage area.
In a preferred embodiment, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: if the server judges that the occupancy rate of the first storage area is greater than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is greater than a threshold value; storing, by the server, the data packet to the second storage area; after the server stores the data packet in the second storage area, deleting the plurality of e-commerce data in the first storage area by the server; after deleting a plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server; if the server re-judges that the occupancy rate of the first storage area is less than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
The invention provides an electronic commerce information processing system, which comprises the following modules for executing the following operations: receiving, by a server, an e-commerce data processing request sent by a client; analyzing the electronic commerce data processing request by the server; after the server parses the e-commerce data processing request, determining, by the server, a first load to be applied to a processor of the server when the e-commerce data processing request is executed; determining, by the server, a current load of the processor; determining, by the server, a message transmission round trip time; determining, by the server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time; a determination is made by the server as to whether to send a feedback message to the client based on the first load, the current load, and the load change value.
In a preferred embodiment, the determining, by the server, whether to send the feedback message to the client based on the first load, the current load, and the load change value specifically comprises the steps of: if the sum of the first load, the current load and the load change value is larger than a predefined value, the server does not send a feedback message to the client; if the sum of the first load, the current load and the load change value is smaller than a predefined value, the server sends a feedback message to the client; wherein the system further comprises means for: after the client receives the feedback message, the client sends a new e-commerce data processing request to the server.
In a preferred embodiment, the e-commerce data processing request is a request to store e-commerce data, wherein the system further comprises means for: after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored; if the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area; if the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area.
In a preferred embodiment, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: judging the occupancy rate of the first storage area by a server; if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored in the first storage area.
In a preferred embodiment, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: if the server judges that the occupancy rate of the first storage area is greater than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is greater than a threshold value; storing, by the server, the data packet to the second storage area; after the server stores the data packet in the second storage area, deleting the plurality of e-commerce data in the first storage area by the server; after deleting a plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server; if the server re-judges that the occupancy rate of the first storage area is less than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
Compared with the prior art, the invention has the following advantages:
entities currently participating in electronic commerce generally include clients and servers, wherein clients may send various electronic commerce data processing requests to the servers, and the servers may perform related processing based on the electronic commerce data processing requests. Generally, after the server receives the e-commerce data processing request, the feedback of the received e-commerce data processing request is sent to the client while the e-commerce data processing request is being executed, and then the client sends a new e-commerce data processing request to the server. However, as we have studied, this operation tends to cause excessive load on the processor, which triggers the problem of forced down-conversion, and once the forced down-conversion mechanism is triggered, the processor must be able to exit the down-conversion state after the temperature has dropped to a certain level, which sometimes results in a slow processing speed of the processor.
Drawings
Fig. 1 is a schematic structural view of an embodiment of the present invention.
FIG. 2 is a schematic diagram of a memory area of an embodiment of the present invention.
Fig. 3 is a flow chart of a method according to an embodiment of the invention.
Description of the embodiments
The following detailed description of embodiments of the invention is, therefore, to be taken in conjunction with the accompanying drawings, and it is to be understood that the scope of the invention is not limited to the specific embodiments.
The entities currently participating in the electronic commerce generally include a client and a server, as shown in fig. 1, wherein the client may send various electronic commerce data processing requests (in the present invention, the electronic commerce data processing requests are general terms and may include various information generated during the electronic commerce process, for example, the electronic commerce data processing requests may be requests to create a new record entry, may be requests to delete a certain item of information, may be requests to perform a logic analysis on electronic commerce related data, may be requests to store a certain item or items of electronic commerce information, may be billing information related to the electronic commerce) to the server, and the server may perform related processing based on the electronic commerce data processing requests. Generally, after the server receives the e-commerce data processing request, the feedback of the received e-commerce data processing request is sent to the client while the e-commerce data processing request is being executed, and then the client sends a new e-commerce data processing request to the server. However, as we have studied, this operation tends to cause excessive load on the processor, which triggers the problem of forced down-conversion, and once the forced down-conversion mechanism is triggered, the processor must be able to exit the down-conversion state after the temperature has dropped to a certain level, which sometimes results in a slow processing speed of the processor. It should be noted that the above description is intended to help those skilled in the art to better understand the technical solution of the present invention, the above is only an understanding of the known technology of the inventor, and the above description does not constitute an admission that any technical means or technical solution is prior art.
Examples
Fig. 3 is a flow chart of a method according to an embodiment of the invention. As shown, the method of the present invention comprises the steps of:
step 1: receiving, by a server, an e-commerce data processing request sent by a client; the definition of the e-commerce data processing request has been described above and will not be described here again;
step 2: analyzing the electronic commerce data processing request by the server;
step 3: after the server parses the e-commerce data processing request, determining, by the server, a first load to be applied to a processor of the server when the e-commerce data processing request is executed; in a specific example, the load of the processor of the server may be represented using any parameter known in the art, for example, the load of the processor of the server may be represented using a CPU occupancy rate, and in a specific example, the execution subject determining the first load to be applied to the processor of the server when executing the e-commerce data processing request may be a separate hardware component within the server or may be program code stored within the server. The method of determining the first load to be applied to the processor of the server when executing the e-commerce data processing request may be the following method: the e-commerce data processing requests are predefined by the service provider, so that the service provider can execute all possible e-commerce data processing requests in advance, then record the CPU calculation power occupied by each e-commerce data processing request, thereby generating a list of the CPU calculation power occupied by the e-commerce data processing requests, and then in the actual use process, the server can determine the first load to be applied to the processor of the server when executing a certain e-commerce data processing request in a table look-up mode. In one example, the server may determine that executing a certain e-commerce data processing request will increase the CPU occupancy by 1%, for example, and the aforementioned first load may be represented as 1%.
Step 4: determining, by the server, a current load of the processor; in one particular example, the current load of the processor of the server may be represented using any parameter known in the art, e.g., the current load of the processor of the server may be represented using CPU occupancy;
step 5: determining, by the server, a message transmission round trip time; in the present invention, the message transmission round trip time refers to the time required for the server to send the feedback message to the client and the time required for the client to send the new e-commerce data processing request to the server again, for example, the time required for the server to send the feedback message to the client is of a wireless access server, then the time required for the server to send the feedback message to the client generally includes the sum of the time required for the server to send the feedback message to the core network, the time required for the core network to route the data to the base station and the time required for the base station to send the feedback message to the client; it will be appreciated by those skilled in the art that the message transmission round trip time should be an average of the message transmission round trip times taken after recording the message transmission round trip times a plurality of times;
step 6: determining, by the server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time; since the server may also execute e-commerce data processing requests during the message transfer round-trip time, e.g., if the server has executed an e-commerce data processing request during the message transfer round-trip time, the load on the processor will correspondingly decrease, e.g., if the server has executed a nested e-commerce data processing request during the message transfer round-trip time, the load on the processor may increase, thus requiring consideration of the load change value. It will be appreciated by those skilled in the art that since the server does not have to send a feedback message to the client, the server predicts the load change value of the processor during the message transmission round trip time based on the message transmission round trip time assuming that the feedback message is to be sent to the client; in a specific example, the load change value may be a positive value (load increase) or a negative value (load decrease);
step 7: a determination is made by the server as to whether to send a feedback message to the client based on the first load, the current load, and the load change value.
Further, determining, by the server, whether to send the feedback message to the client based on the first load, the current load, and the load change value specifically includes the steps of: if the sum of the first load, the current load and the load change value is larger than a predefined value, the server does not send a feedback message to the client; in one example, the predefined value may be a CPU occupancy rate of 80%, 85%, 90%, etc., which may be defined by the service provider according to the actual situation; in one example, if the server does not send a feedback message to the client, after a period of time, the server may re-determine whether the sum of the first load, the current load, and the load change value is still greater than a predefined value; if the sum of the first load, the current load and the load change value is less than the predefined value, the server sends a feedback message to the client.
Wherein the method further comprises: after the client receives the feedback message, the client sends a new e-commerce data processing request to the server.
Examples
In embodiment 2, the e-commerce data processing request is a request to store e-commerce data, wherein the method further comprises:
after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored.
If the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area; in a specific example, the first format may be referred to later in the description of the "first storage format", and if the first storage area adopts the first storage format, the threshold value may be set to 20kB.
If the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area. In one specific example, as shown in fig. 2, the memory may be divided into two memory areas, wherein a first memory area is stored in a first memory format and a second memory area is stored in a second memory format, and the first memory area may be dedicated to storing smaller-sized data. The first storage format is typically: for example, when each piece of data is stored, the stored data must be 20kB in length, and if the size of the data to be stored is less than 20kB, it is necessary to complement the data to be stored to 20kB using all 0 fields. For example, if the size of data to be stored is 15kB, if the data is stored to the first storage area, it is necessary to supplement all 0 data of 5kB at the end of the data. The second storage format is typically: for example, when each piece of data is stored, the stored data must be 80kB in length, and if the size of the data to be stored is less than 80kB, it is necessary to complement the data to be stored to 80kB using all 0 fields. For example, if the data size to be stored is 75kB, then all 0 data of 5kB needs to be appended at the end of the data if the data is stored to the second storage area, and if the data size to be stored is 15kB and still to be stored to the second storage area, all 0 data of 65kB needs to be appended at the end of the data. If the data is less than 20kB, the storage speed is faster when the data is stored in the first storage area, and meaningless all 0 data to be complemented is less, so the storage efficiency is higher. If the data is much larger than 20kB (e.g., 70 kB), then if the data is to be stored in the first storage area, it is necessary to split the data and store the split data in the first storage area in a plurality of addresses, at which time it is rather efficient to store the data in the second storage area.
Examples
If the first storage area is already full, then less than 20kB of data needs to be stored to the second storage area as well, which may reduce storage efficiency. The following embodiment aims to solve the problem, and in embodiment 3, storing, by a server, electronic commerce data to be stored in a first storage area specifically includes the steps of:
judging the occupancy rate of the first storage area by a server; in one specific example, the occupancy represents how much memory space has been used by the first memory region;
if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored in the first storage area. In one specific example, the upper storage limit may be defined as 80%, 90%, 95%, which may be autonomously defined by the server provider.
In a preferred embodiment, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: if the server judges that the occupancy rate of the first storage area is greater than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is greater than a threshold value; storing, by the server, the data packet to the second storage area; after the server stores the data packet in the second storage area, deleting the plurality of e-commerce data in the first storage area by the server; after deleting a plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server; if the server re-judges that the occupancy rate of the first storage area is less than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
Examples
The invention provides an electronic commerce information processing system, which comprises the following modules for executing the following operations: receiving, by a server, an e-commerce data processing request sent by a client; analyzing the electronic commerce data processing request by the server; after the server parses the e-commerce data processing request, determining, by the server, a first load to be applied to a processor of the server when the e-commerce data processing request is executed; determining, by the server, a current load of the processor; determining, by the server, a message transmission round trip time; determining, by the server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time; a determination is made by the server as to whether to send a feedback message to the client based on the first load, the current load, and the load change value.
Further, determining, by the server, whether to send the feedback message to the client based on the first load, the current load, and the load change value specifically includes the steps of: if the sum of the first load, the current load and the load change value is larger than a predefined value, the server does not send a feedback message to the client; if the sum of the first load, the current load and the load change value is smaller than a predefined value, the server sends a feedback message to the client; wherein the system further comprises means for: after the client receives the feedback message, the client sends a new e-commerce data processing request to the server.
Further, the e-commerce data processing request is a request to store e-commerce data, wherein the system further comprises means for: after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored; if the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area; if the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area.
Further, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: judging the occupancy rate of the first storage area by a server; if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored in the first storage area.
Further, the storing, by the server, the electronic commerce data to be stored in the first storage area specifically includes the steps of: if the server judges that the occupancy rate of the first storage area is greater than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is greater than a threshold value; storing, by the server, the data packet to the second storage area; after the server stores the data packet in the second storage area, deleting the plurality of e-commerce data in the first storage area by the server; after deleting a plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server; if the server re-judges that the occupancy rate of the first storage area is less than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explanation of the principles of the present invention and are in no way limiting of the invention. Accordingly, any modification, equivalent replacement, improvement, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention. Furthermore, the appended claims are intended to cover all such changes and modifications that fall within the scope and boundary of the appended claims, or equivalents of such scope and boundary.

Claims (10)

1. An electronic commerce information processing method, characterized in that the method comprises:
receiving, by a server, an e-commerce data processing request sent by a client;
analyzing the e-commerce data processing request by a server;
determining, by a server, a first load to be applied to a processor of the server when executing the e-commerce data processing request after the server parses the e-commerce data processing request;
determining, by a server, a current load of the processor;
determining, by the server, a message transmission round trip time;
determining, by a server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time;
determining, by a server, whether to send a feedback message to the client based on the first load, the current load, and the load change value.
2. The method of claim 1, wherein determining, by a server, whether to send a feedback message to the client based on the first load, the current load, and the load change value comprises:
if the sum of the first load, the current load and the load change value is greater than a predefined value, the server does not send a feedback message to the client;
if the sum of the first load, the current load and the load change value is smaller than a predefined value, the server sends a feedback message to the client;
wherein the method further comprises:
after receiving the feedback message, the client sends a new e-commerce data processing request to the server.
3. The method of claim 2, wherein the e-commerce data processing request is a request to store e-commerce data, wherein the method further comprises:
after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored;
if the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area;
if the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; and when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area.
4. The method of claim 3, wherein storing, by the server, the electronic commerce data to be stored in the first storage area comprises the steps of:
judging the occupancy rate of the first storage area by a server;
if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored into the first storage area.
5. The method of claim 4, wherein storing, by the server, the electronic commerce data to be stored in the first storage area comprises the steps of:
if the server judges that the occupancy rate of the first storage area is larger than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is larger than the threshold value;
storing, by a server, the data packet to the second storage area;
deleting, by the server, the plurality of e-commerce data in the first storage area after the server stores the data packet in the second storage area;
after deleting the plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server;
if the server re-judges that the occupancy rate of the first storage area is smaller than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
6. An electronic commerce information processing system, the system comprising means for:
receiving, by a server, an e-commerce data processing request sent by a client;
analyzing the e-commerce data processing request by a server;
determining, by a server, a first load to be applied to a processor of the server when executing the e-commerce data processing request after the server parses the e-commerce data processing request;
determining, by a server, a current load of the processor;
determining, by the server, a message transmission round trip time;
determining, by a server, a load change value for the processor within the message transmission round trip time based on the message transmission round trip time;
determining, by a server, whether to send a feedback message to the client based on the first load, the current load, and the load change value.
7. The system of claim 6, wherein determining, by a server, whether to send a feedback message to the client based on the first load, the current load, and the load change value comprises:
if the sum of the first load, the current load and the load change value is greater than a predefined value, the server does not send a feedback message to the client;
if the sum of the first load, the current load and the load change value is smaller than a predefined value, the server sends a feedback message to the client;
wherein the system further comprises means for:
after receiving the feedback message, the client sends a new e-commerce data processing request to the server.
8. The system of claim 7, wherein the e-commerce data processing request is a request to store e-commerce data, wherein the system further comprises means for:
after the server analyzes the e-commerce data processing request, the server judges the size of the e-commerce data to be stored;
if the size of the electronic commerce data to be stored is smaller than the threshold value, storing the electronic commerce data to be stored into a first storage area by a server, wherein the electronic commerce data is stored in a first format in the first storage area;
if the size of the electronic commerce data to be stored is larger than the threshold value, storing the electronic commerce data to be stored into a second storage area by the server, wherein the electronic commerce data is stored in a second format in the second storage area; and when the electronic commerce data smaller than the threshold value is stored, the storage efficiency of the first storage area is higher than that of the second storage area.
9. The system of claim 8, wherein storing, by the server, the electronic commerce data to be stored in the first storage area comprises:
judging the occupancy rate of the first storage area by a server;
if the server judges that the occupancy rate of the first storage area is smaller than the storage upper limit, the server stores the electronic commerce data to be stored into the first storage area.
10. The system of claim 9, wherein storing, by the server, the electronic commerce data to be stored in the first storage area comprises:
if the server judges that the occupancy rate of the first storage area is larger than the upper storage limit, the server combines a plurality of e-commerce data stored in the first storage area into a data packet, wherein the size of the data packet is larger than the threshold value;
storing, by a server, the data packet to the second storage area;
deleting, by the server, the plurality of e-commerce data in the first storage area after the server stores the data packet in the second storage area;
after deleting the plurality of e-commerce data in the first storage area by the server, re-judging the occupancy rate of the first storage area by the server;
if the server re-judges that the occupancy rate of the first storage area is smaller than the upper storage limit, the server stores the electronic commerce data to be stored in the first storage area.
CN202310429936.5A 2023-04-19 2023-04-19 Electronic commerce information processing method and system Active CN116737359B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN202310429936.5A CN116737359B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method and system
CN202311435748.XA CN117370027A (en) 2023-04-19 2023-04-19 Electronic commerce information processing method comprising server
CN202311435800.1A CN117370028B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method containing threshold value

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310429936.5A CN116737359B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method and system

Related Child Applications (2)

Application Number Title Priority Date Filing Date
CN202311435748.XA Division CN117370027A (en) 2023-04-19 2023-04-19 Electronic commerce information processing method comprising server
CN202311435800.1A Division CN117370028B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method containing threshold value

Publications (2)

Publication Number Publication Date
CN116737359A true CN116737359A (en) 2023-09-12
CN116737359B CN116737359B (en) 2023-11-21

Family

ID=87903397

Family Applications (3)

Application Number Title Priority Date Filing Date
CN202311435800.1A Active CN117370028B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method containing threshold value
CN202311435748.XA Pending CN117370027A (en) 2023-04-19 2023-04-19 Electronic commerce information processing method comprising server
CN202310429936.5A Active CN116737359B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method and system

Family Applications Before (2)

Application Number Title Priority Date Filing Date
CN202311435800.1A Active CN117370028B (en) 2023-04-19 2023-04-19 Electronic commerce information processing method containing threshold value
CN202311435748.XA Pending CN117370027A (en) 2023-04-19 2023-04-19 Electronic commerce information processing method comprising server

Country Status (1)

Country Link
CN (3) CN117370028B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1964348A (en) * 2005-11-09 2007-05-16 大唐移动通信设备有限公司 A method and method for data transmission
US20070244835A1 (en) * 2006-04-17 2007-10-18 Fimsa, Llc Web-Accessible Financial Product Sales Assistance System and Method
CN106027410A (en) * 2016-07-28 2016-10-12 北京邮电大学 Method and device for load balancing of controller
CN107026907A (en) * 2017-03-30 2017-08-08 上海斐讯数据通信技术有限公司 A kind of load-balancing method, load equalizer and SiteServer LBS
CN112996046A (en) * 2021-02-04 2021-06-18 邦彦技术股份有限公司 Load dynamic sharing processing method, network architecture and equipment
CN113242183A (en) * 2021-05-20 2021-08-10 惠州Tcl移动通信有限公司 Data stream sending control method and device, intelligent terminal and storage medium
CN113778347A (en) * 2021-11-15 2021-12-10 广东睿江云计算股份有限公司 Read-write quality optimization method for ceph system and server

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101815033B (en) * 2010-03-12 2013-04-24 成都市华为赛门铁克科技有限公司 Method, device and system for load balancing
KR20130064906A (en) * 2011-12-09 2013-06-19 삼성전자주식회사 Method and apparatus for load balancing in communication system
CN114039981B (en) * 2021-11-11 2024-04-02 中国建设银行股份有限公司 Message processing method, device, server and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1964348A (en) * 2005-11-09 2007-05-16 大唐移动通信设备有限公司 A method and method for data transmission
US20070244835A1 (en) * 2006-04-17 2007-10-18 Fimsa, Llc Web-Accessible Financial Product Sales Assistance System and Method
CN106027410A (en) * 2016-07-28 2016-10-12 北京邮电大学 Method and device for load balancing of controller
CN107026907A (en) * 2017-03-30 2017-08-08 上海斐讯数据通信技术有限公司 A kind of load-balancing method, load equalizer and SiteServer LBS
CN112996046A (en) * 2021-02-04 2021-06-18 邦彦技术股份有限公司 Load dynamic sharing processing method, network architecture and equipment
CN113242183A (en) * 2021-05-20 2021-08-10 惠州Tcl移动通信有限公司 Data stream sending control method and device, intelligent terminal and storage medium
CN113778347A (en) * 2021-11-15 2021-12-10 广东睿江云计算股份有限公司 Read-write quality optimization method for ceph system and server

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
赵志杰等: ""针对多视角视频编码的快速运动估计方法"", 《通信学报》, no. 10, pages 152 - 157 *

Also Published As

Publication number Publication date
CN117370027A (en) 2024-01-09
CN117370028A (en) 2024-01-09
CN117370028B (en) 2024-03-12
CN116737359B (en) 2023-11-21

Similar Documents

Publication Publication Date Title
CN106603598B (en) Method and device for processing service request
CN107391271B (en) Message queue system-based delayed task triggering method and device
EP2038746B1 (en) Methods, apparatus and computer programs for managing persistence
US9948791B2 (en) Sharing group notification
CN109819021B (en) Business background and method for asynchronously processing business request
CN109933439B (en) Message transmission method, device, computer equipment and storage medium
US8738770B2 (en) Sending synchronous responses to requests from frontend applications
JP5281160B2 (en) Method and apparatus for resource sharing between multiple user devices in a computer network
CN114338063B (en) Message queue system, service processing method and computer readable storage medium
CN114547214A (en) Long-link data processing method, device and equipment
CN116737359B (en) Electronic commerce information processing method and system
CN111835797A (en) Data processing method, device and equipment
CN115955437B (en) Data transmission method, device, equipment and medium
WO2011150968A1 (en) Communication method and device
CN112380011A (en) Dynamic adjustment method and device for service capacity
CN116248582A (en) Internet of things communication method, electronic equipment and Internet of things system
US20080064424A1 (en) Messaging Gateway and Method
CN105912477B (en) A kind of method, apparatus and system that catalogue is read
CN110855764A (en) Network traffic scheduling method and device and electronic equipment
CN116456292B (en) Signaling interaction method and device for user plane and control plane separation architecture
CN116846967B (en) Quick pushing method, device and equipment for millions of user messages
CN115756875B (en) Online service deployment method and system of machine learning model for streaming data
CN116095164B (en) Device connection network access method, device and storage medium based on communication protocol
CN112073455B (en) Data processing method, device, equipment and storage medium
CN109699047B (en) Short message interaction platform implementation method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant