CN105553690A - Statistics method, statistics device and statistics system for business access information - Google Patents

Statistics method, statistics device and statistics system for business access information Download PDF

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Publication number
CN105553690A
CN105553690A CN201510890351.9A CN201510890351A CN105553690A CN 105553690 A CN105553690 A CN 105553690A CN 201510890351 A CN201510890351 A CN 201510890351A CN 105553690 A CN105553690 A CN 105553690A
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China
Prior art keywords
service server
statistics
information
rough estimates
visit information
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CN201510890351.9A
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Chinese (zh)
Inventor
陈宗志
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Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
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Beijing Qihoo Technology Co Ltd
Qizhi Software Beijing Co Ltd
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Priority to CN201510890351.9A priority Critical patent/CN105553690A/en
Publication of CN105553690A publication Critical patent/CN105553690A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/091Measuring contribution of individual network components to actual service level
    • 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
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Environmental & Geological Engineering (AREA)
  • Computer And Data Communications (AREA)

Abstract

The invention discloses a statistics method, a statistics device and a statistics system for business access information. The statistics method for the business access information comprises steps that the access information which is sent by each business server and is relevant to the business server through statistics is received, and the preliminary statistics information of the business server is acquired; the preliminary statistics information of all the business servers is gathered, and a statistics result is acquired; the statistics result is provided for a back-end server for presentation. Through the method, the device and the system, data processing mount of the servers for business access information statistics can be greatly reduced, adverse influence on the performance of the servers is further greatly reduced, the business access information statistics speed is improved, and the business access information statistics mode is further optimized.

Description

The statistical method of Operational Visit information, Apparatus and system
Technical field
The present invention relates to Internet technical field, be specifically related to a kind of statistical method, Apparatus and system of Operational Visit information.
Background technology
In Internet technology, need to add up Operational Visit information, thus contribute to being well understood to Operational Visit situation.In the prior art, be generally the statistics of carrying out Operational Visit information at back-end server.Particularly, back-end server obtains the visit information of each service server, and then unification gathers the visit information of obtained service server, process and adds up.
But, in most of the cases, the quantity of service server is a lot, but the quantity of corresponding back-end server is little, such as, the quantity of service server is 2,000, and corresponding back-end server only has two, in this case, average each back-end server needs the visit information of process 1,000 service servers, and each service server has many visit informations, therefore, the data processing amount of back-end server is very large, thus make the efficiency of statistical service visit information lower, bring harmful effect also can to the performance of back-end server simultaneously.
Summary of the invention
In view of the above problems, propose the present invention to provide a kind of statistical method, the Apparatus and system of Operational Visit information that overcome the problems referred to above or solve the problem at least in part, improve the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
According to an aspect of the present invention, provide a kind of statistical method of Operational Visit information, the method comprises:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Gather the rough estimates information of all service servers, obtain statistics;
Statistics is supplied to back-end server represent.
According to a further aspect in the invention, provide a kind of statistic device of Operational Visit information, this device comprises:
Receiver module, is suitable for the rough estimates information receiving this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Summarizing module, is suitable for the rough estimates information gathering all service servers, obtains statistics;
Module is provided, is suitable for that statistics is supplied to back-end server and represents.
According to another aspect of the invention, provide a kind of statistical system of Operational Visit information, this system comprises: the statistic device of at least one Operational Visit information described above, at least one service server and at least one back-end server.
According to technical scheme provided by the invention, receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends, then the rough estimates information of all service servers is gathered, obtain statistics, finally statistics is supplied to back-end server and represents.The visit information relevant with it is carried out preliminary treatment by service server by technical scheme provided by the invention, obtain rough estimates information, and then these rough estimates information are gathered obtain statistics, thus not only considerably reduce the data processing amount for the server of statistical service visit information and the harmful effect to its performance, and improve the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to technological means of the present invention can be better understood, and can be implemented according to the content of specification, and can become apparent, below especially exemplified by the specific embodiment of the present invention to allow above and other objects of the present invention, feature and advantage.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit will become cheer and bright for those of ordinary skill in the art.Accompanying drawing only for illustrating the object of preferred implementation, and does not think limitation of the present invention.And in whole accompanying drawing, represent identical parts by identical reference symbol.In the accompanying drawings:
Fig. 1 shows the schematic flow sheet of the statistical method of Operational Visit information according to an embodiment of the invention;
Fig. 2 shows the schematic flow sheet of the statistical method of Operational Visit information in accordance with another embodiment of the present invention;
Fig. 3 shows the connection schematic block diagram of the statistic device of Operational Visit information according to an embodiment of the invention, service server and back-end server;
Fig. 4 shows the connection schematic block diagram of the statistic device of Operational Visit information in accordance with another embodiment of the present invention, service server and back-end server.
Embodiment
Below with reference to accompanying drawings exemplary embodiment of the present disclosure is described in more detail.Although show exemplary embodiment of the present disclosure in accompanying drawing, however should be appreciated that can realize the disclosure in a variety of manners and not should limit by the embodiment set forth here.On the contrary, provide these embodiments to be in order to more thoroughly the disclosure can be understood, and complete for the scope of the present disclosure can be conveyed to those skilled in the art.
Fig. 1 shows the schematic flow sheet of the statistical method of Operational Visit information according to an embodiment of the invention, and as shown in Figure 1, the method comprises the steps:
Step S100, receives the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends.
Receive the rough estimates information relevant with this service server that each service server sends in the step s 100, wherein, the each service server of these rough estimates information obtains through the statistics visit information relevant with this service server, that is, each service server is not directly the visit information relevant with this service server is sent to corresponding back-end server, but each service server is responsible for adding up the visit information relevant with this service server, and preliminary treatment is carried out to these visit informations, obtain the rough estimates information of this service server, and then the rough estimates information of this service server is sent to the server for statistical service visit information, thus decrease the data processing amount of the server for statistical service visit information.
Wherein, visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.Those skilled in the art also can arrange the information that visit information comprises other guide according to actual needs, do not limit herein.
Step S101, gathers the rough estimates information of all service servers, obtains statistics.
After step S100 have received the rough estimates information of each service server transmission, perform step S101, the rough estimates information of all service servers is gathered, then according to gathered rough estimates information, obtains statistics.
Step S102, is supplied to back-end server by statistics and represents.
After step S102 obtains the statistics about all service servers, statistics can be supplied to back-end server by step S102, so that back-end server represents.Particularly, on one's own initiative statistics back-end server can be supplied to, also when back-end server sends request to it, then statistics back-end server can be supplied to.
According to the statistical method of the Operational Visit information that the present embodiment provides, receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends, then the rough estimates information of all service servers is gathered, obtain statistics, finally statistics is supplied to back-end server and represents.The visit information relevant with it is carried out preliminary treatment by service server by technical scheme provided by the invention, obtain rough estimates information, and then these rough estimates information are gathered obtain statistics, thus not only considerably reduce the data processing amount for the server of statistical service visit information and the harmful effect to its performance, and improve the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
Fig. 2 shows the schematic flow sheet of the statistical method of Operational Visit information in accordance with another embodiment of the present invention, and as shown in Figure 2, the method comprises the steps:
Step S200, sends to each service server and presets rough estimates rule.
Each service server in step s 200, sends to each service server and presets rough estimates rule, so that can carry out rough estimates according to default rough estimates rule to the visit information relevant with this service server.
Particularly, the regular at least one item comprising number of times and add up in rule, ratio computation rule and predetermined threshold value comparison rule of rough estimates is preset.Wherein, number of times add up rule can refer to visit information of the same type carry out number of times add up; Ratio computation rule can refer to the ratio of number of times shared by the number of times of all visit informations calculating visit information of the same type; Predetermined threshold value comparison rule can refer to the predetermined threshold value of the number of times of the number of times of visit information of the same type and the visit information of the type to compare.Predetermined threshold value can specifically be arranged according to actual needs.
Such as, when the visit information that the server for statistical service visit information needs statistics to add up regular according to number of times, then the rule that added up by number of times in step s 200 sends to each service server.
Step S201, receives the rough estimates information of this service server that is regular according to default rough estimates, that obtain through the statistics visit information relevant with this service server that each service server sends according to udp protocol.
Receive the rough estimates information relevant with this service server that each service server sends according to udp protocol in step s 201, wherein, these rough estimates information are that each service server is according to default rough estimates rule, obtain through the statistics visit information relevant with this service server, that is, each service server is not directly sent by the visit information relevant with this service server, but each service server is responsible for adding up the visit information relevant with this service server, and according to default rough estimates rule, preliminary treatment is carried out to these visit informations, obtain the rough estimates information of this service server, and then the rough estimates information of this service server is sent to the server for statistical service visit information, thus further reduce the data processing amount of the server for statistical service visit information.
Wherein, each service server sends the rough estimates information of this service server according to udp protocol to the server for statistical service visit information, because udp protocol is connectionless transport layer protocol, although there is insecure defect according to udp protocol transmission information, but according to udp protocol transmission is rough estimates information, insensitive to the loss of learning of single, therefore not by the impact of the insecure defect existing for udp protocol.Thus the advantage that each service server carries out the transmission of rough estimates information according to udp protocol is: each service server is connected without the need to keeping with the server for statistical service visit information, take resource less, thus decrease the linking number of service server, decrease and send rough estimates information to the harmful effect of the performance of service server.
Wherein, visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.Those skilled in the art also can arrange the information that visit information comprises other guide according to actual needs, do not limit herein.
Alternatively, in order to improve the statistical efficiency of Operational Visit information further, the server that is specifically designed to statistical service visit information can be set.
Alternatively, the rough estimates information of this service server obtained through adding up the visit information relevant with this service server that each service server sends every timing section by starting timed task is received.Wherein, the length of timing section can specifically be arranged according to specific needs, such as, timing section can be set to 12 hours, 24 hours or 48 hours etc.When timing section is 24 constantly little, each service server sent the rough estimates information of this service server that through statistics with this service server relevant visit information obtain every 24 hours to the server for statistical service visit information by starting timed task, and the server then for statistical service visit information receives these rough estimates information.
Step S202, gathers the rough estimates information of all service servers, according to default statistical rules, adds up, and generate the statistics of presets to the rough estimates information after gathering.
Particularly, default statistical rules comprises at least one item that number of times adds up in rule, ratio computation rule and predetermined threshold value comparison rule; Presets comprises and is called that the tabular form of index and the data that exceed standard highlight at least one item in form with the name of service server.
Wherein, the add up cumulative rule of rule, ratio computation rule and predetermined threshold value comparison rule and the number of times in default rough estimates rule, ratio computation rule of number of times is identical with predetermined threshold value comparison rule, repeats no more herein.
Such as, when for statistical service visit information server need statistics according to number of times add up rule visit information, and generate when being called the statistics of the tabular form of index with the name of service server, the rule that then added up by number of times in step s 200 sends to each service server, then step S201 is performed, receive the cumulative regular according to number of times of each service server transmission, the rough estimates information of this service server obtained through the statistics visit information relevant with this service server, then step S202 is performed, gather the rough estimates information of all service servers, according to the cumulative rule of number of times, rough estimates information after gathering is added up, and generate the statistics of the tabular form being called index with the name of service server.
And for example, when the server for statistical service visit information needs cumulative regular according to number of times to visit information respectively, ratio computation rule and predetermined threshold value comparison rule are added up, and generate when being called the statistics of the tabular form of index with the name of service server, then in step s 200 by cumulative for number of times rule, ratio computation rule and predetermined threshold value comparison rule send to each service server, then step S201 is performed, receive the cumulative regular according to number of times of each service server transmission, ratio computation rule and predetermined threshold value comparison rule, the rough estimates information of this service server obtained through the statistics visit information relevant with this service server, then step S202 is performed, gather the rough estimates information of all service servers, respectively according to the cumulative rule of number of times, ratio computation rule and predetermined threshold value comparison rule, rough estimates information after gathering is added up, and generate the statistics of the tabular form being called index with the name of service server.
Step S203, is supplied to back-end server by statistics, and the form for back-end server statistics being plotted as form or chart represents.
After step S202 obtains the statistics of presets, statistics can be supplied to back-end server by step S203, and the form for back-end server statistics being plotted as form or chart represents.Particularly, on one's own initiative statistics back-end server can be supplied to, also when back-end server sends request to it, then statistics back-end server can be supplied to.
According to the statistical method of the Operational Visit information that the present embodiment provides, first send to each service server and preset rough estimates rule, receive that each service server sends according to udp protocol according to default rough estimates rule, the rough estimates information of this service server obtained through the statistics visit information relevant with this service server, then the rough estimates information of all service servers is gathered, according to default statistical rules, rough estimates information after gathering is added up, and generate the statistics of presets, finally statistics is supplied to back-end server, the form for back-end server statistics being plotted as form or chart represents.Service server in technical scheme provided by the invention sends rough estimates information according to udp protocol, decreases the linking number of service server, decreases and sends rough estimates information to the harmful effect of the performance of service server.In addition, the visit information relevant with it is carried out preliminary treatment according to default rough estimates rule by service server by technical scheme provided by the invention, obtain rough estimates information, and then according to default statistical rules these rough estimates information to be gathered and obtain statistics, thus further reduce the data processing amount for the server of statistical service visit information and the harmful effect to its performance, and further increase the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
Fig. 3 shows the connection schematic block diagram of the statistic device of Operational Visit information according to an embodiment of the invention, service server and back-end server, as shown in Figure 3, this device 300 can be arranged in the server for statistical service visit information, and this device 300 comprises: receiver module 310, summarizing module 320 and provide module 330.
Receiver module 310 is suitable for: the rough estimates information receiving this service server 100 obtained through the statistics visit information relevant with this service server 100 that each service server 100 sends.
Receiver module 310 receives the rough estimates information relevant with this service server 100 that each service server sends, wherein, these rough estimates information each service servers 100 obtain through the statistics visit information relevant with this service server, thus decrease the data processing amount of the server for statistical service visit information.
Wherein, visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.Those skilled in the art also can arrange the information that visit information comprises other guide according to actual needs, do not limit herein.
Summarizing module 320 is suitable for: the rough estimates information gathering all service servers, obtains statistics.
After receiver module 310 have received the rough estimates information of each service server 100 transmission, trigger summarizing module 320, the rough estimates information of all service servers is gathered, then according to gathered rough estimates information, obtains statistics.
Module 330 is provided to be suitable for: statistics to be supplied to back-end server 200 and to represent.
After summarizing module 320 obtains the statistics about all service servers, trigger and module 330 is provided, statistics is supplied to back-end server 200, so that back-end server 200 represents.Particularly, on one's own initiative statistics back-end server 200 can be supplied to, also when back-end server 200 sends request to it, then statistics back-end server 200 can be supplied to.
According to the statistic device of the Operational Visit information that the present embodiment provides, the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends is received by receiver module, then the rough estimates information of all service servers is gathered by summarizing module, obtain statistics, finally by providing module, statistics is supplied to back-end server and represents.The visit information relevant with it is carried out preliminary treatment by service server by technical scheme provided by the invention, obtain rough estimates information, and then these rough estimates information are gathered obtain statistics, thus not only considerably reduce the data processing amount for the server of statistical service visit information and the harmful effect to its performance, and improve the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
Fig. 4 shows the connection schematic block diagram of the statistic device of Operational Visit information in accordance with another embodiment of the present invention, service server and back-end server, as shown in Figure 4, this device comprises: sending module 410, receiver module 420, summarizing module 430 and provide module 440.
Sending module 410 is suitable for: send to each service server 100 and preset rough estimates rule.
Sending module 410 sends to each service server 100 and presets rough estimates rule, so that each service server 100 can carry out rough estimates according to default rough estimates rule to the visit information relevant with this service server 100.
Particularly, the regular at least one item comprising number of times and add up in rule, ratio computation rule and predetermined threshold value comparison rule of rough estimates is preset.
Receiver module 420 is suitable for: the rough estimates information receiving this service server 100 that is regular according to default rough estimates, that obtain through the statistics visit information relevant with this service server 100 that each service server 100 sends according to udp protocol.
Receiver module 420 receives the rough estimates information relevant with this service server 100 that each service server 100 sends according to udp protocol, wherein, the each service server of these rough estimates information 100 obtains according to default rough estimates rule, the process statistics visit information relevant with this service server 100, thus further reduces the data processing amount of the server for statistical service visit information.
Wherein, each service server 100 sends the rough estimates information of this service server 100 according to udp protocol to the server for statistical service visit information, thus decrease the linking number of service server 100, decrease and send rough estimates information to the harmful effect of the performance of service server.
Wherein, visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.Those skilled in the art also can arrange the information that visit information comprises other guide according to actual needs, do not limit herein.
Particularly, receiver module 420 is further adapted for: receive the rough estimates information of this service server 100 that through add up with this service server 100 relevant visit information obtain of each service server 100 by starting timed task and sending every timing section.Wherein, the length of timing section can specifically be arranged according to specific needs.
Summarizing module 430 is suitable for: the rough estimates information gathering all service servers, according to default statistical rules, adds up, and generate the statistics of presets to the rough estimates information after gathering.
Particularly, default statistical rules comprises at least one item that number of times adds up in rule, ratio computation rule and predetermined threshold value comparison rule; Presets comprises and is called that the tabular form of index and the data that exceed standard highlight at least one item in form with the name of service server.
There is provided module 440 to be suitable for: statistics to be supplied to back-end server 200, the form for back-end server 200 statistics being plotted as form or chart represents.
After summarizing module 430 obtains the statistics of presets, trigger and provide module 440, statistics is supplied to back-end server 200, the form for back-end server 200 statistics being plotted as form or chart represents.Particularly, on one's own initiative statistics back-end server 200 can be supplied to, also when back-end server 200 sends request to it, then statistics back-end server 200 can be supplied to.
According to the statistic device of the Operational Visit information that the present embodiment provides, first default rough estimates rule is sent by sending module to each service server, then by receiver module receive that each service server sends according to udp protocol according to default rough estimates rule, the rough estimates information of this service server obtained through the statistics visit information relevant with this service server, then the rough estimates information of all service servers is gathered by summarizing module, according to default statistical rules, rough estimates information after gathering is added up, and generate the statistics of presets, finally by providing module, statistics is supplied to back-end server, the form for back-end server statistics being plotted as form or chart represents.Service server in technical scheme provided by the invention sends rough estimates information according to udp protocol, decreases the linking number of service server, decreases and sends rough estimates information to the harmful effect of the performance of service server.In addition, the visit information relevant with it is carried out preliminary treatment according to default rough estimates rule by service server by technical scheme provided by the invention, obtain rough estimates information, and then according to default statistical rules these rough estimates information to be gathered and obtain statistics, thus further reduce the data processing amount for the server of statistical service visit information and the harmful effect to its performance, and further increase the Statistical Speed of Operational Visit information, optimize the statistical of Operational Visit information.
Present invention also offers a kind of statistical system of Operational Visit information, this system comprises: the statistic device of at least one above-mentioned Operational Visit information, at least one service server and at least one back-end server.
Intrinsic not relevant to any certain computer, virtual system or miscellaneous equipment with display at this algorithm provided.Various general-purpose system also can with use based on together with this teaching.According to description above, the structure constructed required by this type systematic is apparent.In addition, the present invention is not also for any certain programmed language.It should be understood that and various programming language can be utilized to realize content of the present invention described here, and the description done language-specific is above to disclose preferred forms of the present invention.
In specification provided herein, describe a large amount of detail.But can understand, embodiments of the invention can be put into practice when not having these details.In some instances, be not shown specifically known method, structure and technology, so that not fuzzy understanding of this description.
Similarly, be to be understood that, in order to simplify the disclosure and to help to understand in each inventive aspect one or more, in the description above to exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or the description to it sometimes.But, the method for the disclosure should be construed to the following intention of reflection: namely the present invention for required protection requires feature more more than the feature clearly recorded in each claim.Or rather, as claims below reflect, all features of disclosed single embodiment before inventive aspect is to be less than.Therefore, the claims following embodiment are incorporated to this embodiment thus clearly, and wherein each claim itself is as independent embodiment of the present invention.
Those skilled in the art are appreciated that and adaptively can change the module in the equipment in embodiment and they are arranged in one or more equipment different from this embodiment.Module in embodiment or unit or assembly can be combined into a module or unit or assembly, and multiple submodule or subelement or sub-component can be put them in addition.Except at least some in such feature and/or process or unit be mutually repel except, any combination can be adopted to combine all processes of all features disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment or unit.Unless expressly stated otherwise, each feature disclosed in this specification (comprising adjoint claim, summary and accompanying drawing) can by providing identical, alternative features that is equivalent or similar object replaces.
In addition, those skilled in the art can understand, although embodiments more described herein to comprise in other embodiment some included feature instead of further feature, the combination of the feature of different embodiment means and to be within scope of the present invention and to form different embodiments.Such as, in the following claims, the one of any of embodiment required for protection can use with arbitrary compound mode.
All parts embodiment of the present invention with hardware implementing, or can realize with the software module run on one or more processor, or realizes with their combination.It will be understood by those of skill in the art that the some or all functions that microprocessor or digital signal processor (DSP) can be used in practice to realize according to the some or all parts in the embodiment of the present invention.The present invention can also be embodied as part or all equipment for performing method as described herein or device program (such as, computer program and computer program).Realizing program of the present invention and can store on a computer-readable medium like this, or the form of one or more signal can be had.Such signal can be downloaded from internet website and obtain, or provides on carrier signal, or provides with any other form.
The present invention will be described instead of limit the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment when not departing from the scope of claims.In the claims, any reference symbol between bracket should be configured to limitations on claims.Word " comprises " not to be got rid of existence and does not arrange element in the claims or step.Word "a" or "an" before being positioned at element is not got rid of and be there is multiple such element.The present invention can by means of including the hardware of some different elements and realizing by means of the computer of suitably programming.In the unit claim listing some devices, several in these devices can be carry out imbody by same hardware branch.Word first, second and third-class use do not represent any order.Can be title by these word explanations.
The invention discloses:
The statistical method of A1, a kind of Operational Visit information, described method comprises:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Gather the rough estimates information of all service servers, obtain statistics;
Described statistics is supplied to back-end server represent.
A2, method according to A1, wherein, the step receiving the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends comprises further:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends according to udp protocol.
A3, method according to A1 or A2, wherein, before receiving the rough estimates information that each service server sends, described method also comprises: send to each service server and preset rough estimates rule;
The rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server of described reception sends comprises further:
Receive the rough estimates information of this service server that is regular according to default rough estimates, that obtain through the statistics visit information relevant with this service server that each service server sends.
A4, method according to any one of A1-A3, wherein, the step receiving the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends comprises further:
Receive the rough estimates information of this service server obtained through adding up the visit information relevant with this service server that each service server sends every timing section by starting timed task.
A5, method according to any one of A1-A4, wherein, described in gather the rough estimates information of all service servers, the step obtaining statistics comprises further:
Gather the rough estimates information of all service servers, according to default statistical rules, the rough estimates information after gathering is added up, and generates the statistics of presets;
Wherein, described default statistical rules comprises at least one item that number of times adds up in rule, ratio computation rule and predetermined threshold value comparison rule; Described presets comprises and is called that the tabular form of index and the data that exceed standard highlight at least one item in form with the name of service server.
A6, method according to any one of A1-A5, wherein, described visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.
A7, method according to any one of A1-A6, wherein, be supplied to the step that back-end server carries out representing and comprise further by described statistics:
Described statistics is supplied to back-end server, for back-end server, the form that described statistics is plotted as form or chart is represented.
The statistic device of B8, a kind of Operational Visit information, described device comprises:
Receiver module, is suitable for the rough estimates information receiving this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Summarizing module, is suitable for the rough estimates information gathering all service servers, obtains statistics;
Module is provided, is suitable for that described statistics is supplied to back-end server and represents.
B9, device according to B8, wherein, described receiver module is further adapted for:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends according to udp protocol.
B10, device according to B8 or B9, wherein, described device also comprises: sending module, is suitable for sending to each service server presetting rough estimates rule;
Described receiver module is further adapted for: the rough estimates information receiving this service server that is regular according to default rough estimates, that obtain through the statistics visit information relevant with this service server that each service server sends.
B11, device according to any one of B8-B10, wherein, described receiver module is further adapted for:
Receive the rough estimates information of this service server obtained through adding up the visit information relevant with this service server that each service server sends every timing section by starting timed task.
B12, device according to any one of B8-B11, wherein, described summarizing module is further adapted for:
Gather the rough estimates information of all service servers, according to default statistical rules, the rough estimates information after gathering is added up, and generates the statistics of presets;
Wherein, described default statistical rules comprises at least one item that number of times adds up in rule, ratio computation rule and predetermined threshold value comparison rule; Described presets comprises and is called that the tabular form of index and the data that exceed standard highlight at least one item in form with the name of service server.
B13, device according to any one of B8-B12, wherein, described visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.
B14, device according to any one of B8-B13, wherein, described in provide module to be further adapted for: described statistics is supplied to back-end server, for back-end server, the form that described statistics is plotted as form or chart is represented.
The statistical system of C15, a kind of Operational Visit information, comprising: the statistic device of at least one Operational Visit information according to any one of B8-B14, at least one service server and at least one back-end server.

Claims (10)

1. a statistical method for Operational Visit information, described method comprises:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Gather the rough estimates information of all service servers, obtain statistics;
Described statistics is supplied to back-end server represent.
2. method according to claim 1, wherein, the step receiving the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends comprises further:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends according to udp protocol.
3. method according to claim 1 and 2, wherein, before the rough estimates information receiving the transmission of each service server, described method also comprises: send to each service server and preset rough estimates rule;
The rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server of described reception sends comprises further:
Receive the rough estimates information of this service server that is regular according to default rough estimates, that obtain through the statistics visit information relevant with this service server that each service server sends.
4. the method according to any one of claim 1-3, wherein, the step receiving the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends comprises further:
Receive the rough estimates information of this service server obtained through adding up the visit information relevant with this service server that each service server sends every timing section by starting timed task.
5. the method according to any one of claim 1-4, wherein, described in gather the rough estimates information of all service servers, the step obtaining statistics comprises further:
Gather the rough estimates information of all service servers, according to default statistical rules, the rough estimates information after gathering is added up, and generates the statistics of presets;
Wherein, described default statistical rules comprises at least one item that number of times adds up in rule, ratio computation rule and predetermined threshold value comparison rule; Described presets comprises and is called that the tabular form of index and the data that exceed standard highlight at least one item in form with the name of service server.
6. the method according to any one of claim 1-5, wherein, described visit information comprises at least one item in the solicited message of get type, the solicited message of set type and false request information.
7. the method according to any one of claim 1-6, wherein, is supplied to the step that back-end server carries out representing and comprises further by described statistics:
Described statistics is supplied to back-end server, for back-end server, the form that described statistics is plotted as form or chart is represented.
8. a statistic device for Operational Visit information, described device comprises:
Receiver module, is suitable for the rough estimates information receiving this service server obtained through the statistics visit information relevant with this service server that each service server sends;
Summarizing module, is suitable for the rough estimates information gathering all service servers, obtains statistics;
Module is provided, is suitable for that described statistics is supplied to back-end server and represents.
9. device according to claim 8, wherein, described receiver module is further adapted for:
Receive the rough estimates information of this service server obtained through the statistics visit information relevant with this service server that each service server sends according to udp protocol.
10. a statistical system for Operational Visit information, comprising: the statistic device of at least one Operational Visit information as claimed in claim 8 or 9, at least one service server and at least one back-end server.
CN201510890351.9A 2015-12-07 2015-12-07 Statistics method, statistics device and statistics system for business access information Pending CN105553690A (en)

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Application publication date: 20160504