CN105721233A - Website survival detection method, apparatus and system - Google Patents
Website survival detection method, apparatus and system Download PDFInfo
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Abstract
The invention provides a website survival detection method, apparatus and system. The website survival detection method comprises the steps of acquiring website access result data uploaded by a plurality of task nodes, each of which is configured to transmit an access request to a detection target website and generate website access result data according to the response of the target website to the access request; carrying out data fusion processing of the website access result data to obtain a website survival determination value; comparing the website survival determination value with a preset survival determination threshold; and determining a survival detection result of the target website according to the compared result. The scheme of the invention uses the website access results of the plurality of task nodes are for data fusion processing to obtain the website survival determination value to be used as the website survival detection result, makes full use of distribution characteristics of the plurality of task nodes, avoids false positives brought by respective problems of the task nodes, and improves the reliability of the website survival detection result.
Description
Technical field
The present invention relates to Internet technical field, particularly relate to a kind of website lifetime detection method, device and system.
Background technology
Website survival detection refers to the responsive state detecting targeted website to be detected, to determine the abnormal conditions of this website, in order to take measures in time, it is ensured that access normal.
The method that the survival detection of existing website adopts is utilize the task node pre-set according to fixing mode, and analog subscriber request accesses targeted website to be detected, obtains the response condition of this targeted website, and determines the survival condition of website according to response condition.But use prior art to carry out website survival detection and there is problems with, first there is fault if there is task node self, for instance occur of short duration externally connecting obstructed etc., cause testing result mistake.On the other hand, the access results contrast of task node is unilateral, it is impossible to the reflection network access situation to this targeted website comprehensively.
Therefore prior art detects the testing result of website survival condition and unreliable, it is easy to be subject to the impact of the state of task node.
Summary of the invention
In view of the above problems, it is proposed that the present invention is to provide a kind of and overcome the problems referred to above or solve the website liveness detection means of the problems referred to above and website survival detection system and corresponding website lifetime detection method at least in part.The present invention one further objective is that the reliability improving website survival testing result.
The present invention another further objective is that the access situation making website survival outcome and this website matches.
According to one aspect of the present invention, it is provided that the method for a kind of website survival detection.The method of this website survival detection includes: obtain the website visiting result data that multiple task node is uploaded, each task node is configured to send access request to detection targeted website, and according to targeted website, the response of access request is generated website visiting result data；Website visiting result data is carried out Data Fusion, obtains website survival judgment value；Relatively website survival judgment value and the survival judgment threshold preset；The survival testing result of detection targeted website is determined according to result of the comparison.
Alternatively, website visiting result data is carried out Data Fusion to include: determine that the information of uploading and access result are abnormal task node quantity according to website visiting result data；When the information of uploading meets default Rule of judgment, it is that abnormal task node quantity is survived as website judgment value using accessing result.
Alternatively, the information of uploading includes the quantity of multiple task node, and default Rule of judgment includes: the quantity of multiple task nodes is more than default number of nodes.
Alternatively, the information of uploading includes each task node and uploads the time of data, and default Rule of judgment includes: the time of the website visiting result data that distance gets first task node exceedes preset time value.
Alternatively, website visiting result data is carried out Data Fusion to include: determine that access result is abnormal task node according to website visiting result data；It is weighted according to the weighted value in advance task node set and calculates, and judgment value that the weighted value obtained is survived as website.
Alternatively, also including before website visiting result data is carried out Data Fusion: filter the website visiting result data that inefficacy task node is uploaded, wherein inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.
Alternatively, obtain the website visiting result data that multiple task node uploads to include: receive the website visiting result data uploaded by multiple task nodes respectively；Being preserved to preset correlation data capsule as element by website visiting result data, each element is using the identification number of corresponding task node as index.
Alternatively, judgment value of surviving in website determines that more than survival judgment threshold the survival of website also includes after abnormal: the warning message that output website visiting is abnormal.
According to another aspect of the present invention, the device of a kind of website survival detection is additionally provided.The device of this website survival detection includes: data acquisition module, it is configured to obtain the website visiting result data that multiple task node is uploaded, each task node is configured to send access request to detection targeted website, and according to targeted website, the response of access request is generated website visiting result data；Data processing module, is configured to website visiting result data is carried out Data Fusion, obtains website survival judgment value；Analysis module, is configured to compare website survival judgment value and the survival judgment threshold preset the survival testing result determining detection targeted website according to result of the comparison.
Alternatively, data processing module is additionally configured to: determine that the information of uploading and access result are abnormal task node quantity according to website visiting result data；When the information of uploading meets default Rule of judgment, it is that abnormal task node quantity is survived as website judgment value using accessing result.
Alternatively, the information of uploading includes the quantity of multiple task node, and default Rule of judgment includes: the quantity of multiple task nodes is more than default number of nodes.
Alternatively, the information of uploading includes each task node and uploads the time of data, and default Rule of judgment includes: the time of the website visiting result data that distance gets first task node exceedes preset time value.
Alternatively, data processing module is additionally configured to: determine that access result is abnormal task node according to website visiting result data；It is weighted according to the weighted value in advance task node set and calculates, and judgment value that the weighted value obtained is survived as website.
Alternatively, the device of above website survival detection also includes: data filter module, being configured to filter the website visiting result data that inefficacy task node is uploaded, wherein inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.
Alternatively, wherein data acquisition module is additionally configured to: receive the website visiting result data uploaded by multiple task nodes respectively；Being preserved to preset correlation data capsule as element by website visiting result data, each element is using the identification number of corresponding task node as index.
Alternatively, the device of above website survival detection also includes: alarm module, is configured to survive after judgment value determines that more than survival judgment threshold the survival of website is abnormal according to website at analysis module, the warning message that output website visiting is abnormal.
According to another aspect of the present invention, a kind of website survival detection system is additionally provided.This website survival detection system includes: multiple task nodes, and each task node is configured to send access request to detection targeted website, and according to targeted website, the response of access request is generated website visiting result data；The device of any one website described above survival detection.
The method of the website survival detection of the present invention utilizes the website visiting result of multiple task node, carry out Data Fusion and obtain website survival judgment value, as website survival testing result, take full advantage of the distributed nature of multiple task node, avoid the wrong report that individual task node brings due to self problem, improve the reliability of website survival testing result.
Further, the website lifetime detection method of the present invention, in data fusion process, by adjusting different task node weight in data handling, comply with network and access the practical situation of this website, the access situation making website survival outcome and this website matches, and improves actually used impression, it is simple to rapidly fault is processed in time.
Further, data fusion can separate with later stage alert service, so that alert operation is relatively independent, it is not necessary to uses alarm module that data are carried out substantial amounts of integration, decreases the pressure of alarm module.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention, and can be practiced according to the content of description, and in order to above and other objects of the present invention, feature and advantage can be become apparent, below especially exemplified by the specific embodiment of the present invention.
According to below in conjunction with the accompanying drawing detailed description to the specific embodiment of the invention, those skilled in the art will understand the above-mentioned of the present invention and other purposes, advantage and feature more.
Accompanying drawing explanation
By reading hereafter detailed description of the preferred embodiment, various other advantage and benefit those of ordinary skill in the art be will be clear from understanding.Accompanying drawing is only for illustrating the purpose of preferred implementation, and is not considered as limitation of the present invention.And in whole accompanying drawing, it is denoted by the same reference numerals identical parts.In the accompanying drawings:
Fig. 1 is the schematic diagram of website survival detection system according to an embodiment of the invention；
Fig. 2 is the schematic diagram of the device of website survival detection according to an embodiment of the invention；
Fig. 3 is the schematic diagram of the device of website survival detection in accordance with another embodiment of the present invention；
Fig. 4 is the schematic diagram of the method for website survival detection according to an embodiment of the invention；And
Fig. 5 is the optional flow chart of the method for website survival detection according to an embodiment of the invention.
Detailed description of the invention
Not intrinsic to any certain computer, virtual system or miscellaneous equipment relevant in algorithm and the display of this offer.Various general-purpose systems can also with use based on together with this teaching.As described above, the structure constructed required by this kind of system is apparent from.Additionally, the present invention is also not for any certain programmed language.It is understood that, it is possible to utilize various programming language to realize the content of invention described herein, and the description above language-specific done is the preferred forms in order to disclose the present invention.
Fig. 1 is the schematic diagram of website survival detection system according to an embodiment of the invention.This website survival detection system comprises the steps that multiple task node 120 and the device 200 of website survival detection in general manner, wherein each task node 120 is both configured to send access request to detection targeted website 110, and according to targeted website 100, the response of access request being generated website visiting result data, this website visiting result data may include whether to access normal, the access time etc..Website survival detection device 200 the access result data of multiple task nodes 120 is collected, then to collect data merge, in order to carry out website survival judge, it is judged that according to can include multiple.
Fig. 2 is the schematic diagram of the device 200 of website survival detection according to an embodiment of the invention, and the device of this website survival detection may include that data acquisition module 210, data processing module 220, analysis module 230 in general manner.In some alternative embodiments, it is also possible to increase miscellaneous part according to its applied environment and its flexible function possessed.
Data acquisition module 210 is configured to obtain the website visiting result data that multiple task node 120 is uploaded.These website visiting result datas are send access request to detection targeted website 110 by each task node 120, and according to targeted website 110, the response of access request are generated website visiting result data.Task node 120 sends access request can carry out in the normal access behavior of analog subscriber, such as according to fixing detection cycle timing, targeted website 110 can be conducted interviews, according to starting sense command, targeted website 110 can also being conducted interviews, namely task node 120 generates website visiting result data in multiple mode flexibly.
A kind of optional flow process of data acquisition module 210 is receive the website visiting result data uploaded by multiple task nodes 120 respectively；Being preserved to preset correlation data capsule as element by website visiting result data, each element is using the identification number of corresponding task node as index.Such as the website visiting result data that multiple task nodes are uploaded is carried out certain pretreatment, such as unpack, re-group package, then pretreated data being put in data capsule (map), the index (key) of this data capsule can be the mark (id) of each task node.Such as website www.so.com, when the data of first task node send over, in map, with this task node id for key, creating a container, this container is used for collecting the data of all of task node, and the data of receipt of subsequent are maintained in map.Map is a kind of associated container, forms set according to the mode of { key, value }, is organized into a binary tree, and wherein key does not allow to repeat.The data structuring model of Map is binary tree, and data therein can sort according to key assignments, can search data by key assignments and map provides subscript and accesses.
Data processing module 220 is configured to website visiting result data is carried out Data Fusion, obtains website survival judgment value.The Data fusion technique of data processing module 220 process the website visiting result data that multiple task nodes 120 are uploaded can be carried out, comprehensively, filtrations, a series of logical operationss process such as judgement.Such as according to website visiting result data, data processing module 220 can determine that the information of uploading and access result are abnormal task node quantity；When the information of uploading meets default Rule of judgment, it is that abnormal task node quantity is survived as website judgment value using accessing result.Information of more than uploading may include that the quantity of default task node, each task node upload the time etc. of data, and the corresponding Rule of judgment preset includes: the quantity of multiple task nodes exceedes preset time value etc. more than the time of the website visiting result data that default number of nodes, distance get first task node.
Data processing module 220 can when the quantity of multiple task nodes be more than default number of nodes, it is that abnormal task node quantity is survived as website judgment value using accessing result, additionally get after time of the website visiting result data of first task node exceedes preset time value in distance, it is possible to be that abnormal task node quantity is survived as website judgment value using accessing result.
In another kind of alternative embodiment, according to website visiting result data, data processing module 220 can also determine that access result is abnormal task node；It is weighted according to the weighted value in advance task node set and calculates, and judgment value that the weighted value obtained is survived as website.Wherein the access number of detection targeted website 110 can be determined by weighted value according to corresponding task node region, it is simple to calculates website survival judgment value and meets the situation of this website of actual access.
Analysis module 230 is configurable to compare website survival judgment value and the survival judgment threshold preset the survival testing result determining detection targeted website according to result of the comparison, such as when website survive judgment value more than default survival judgment threshold time, determine that current goal website visiting is abnormal, it is necessary to report to the police to this website.
Fig. 3 is the schematic diagram of the device 200 of website survival detection in accordance with another embodiment of the present invention, and in this embodiment, device 200 increase of website survival detection is provided with data and filters module 240 and/or alarm module 250.
For the ease of after determining that access exception occurs in detection targeted website, notice targeted website processes in time, alarm module 240 can also be survived after judgment value determines that more than survival judgment threshold the survival of website is abnormal at analysis module 230 according to website, the warning message that output website visiting is abnormal.Such as, the communicating number bound to this targeted website sends information or reports to the police to modes such as the mailbox transmission mails of binding.This alarm module 240 can be independently arranged, thus having only to be responsible for alert operation, the mixing operation of data gives above parts.Thus separate with the parts of data analysis, alleviate its calculated load, improve warning efficiency.
In order to avoid a certain task node breaks down, such as to outer network obstructed time access targeted website failure, data filter module 240 can also filter the website visiting result data that inefficacy task node is uploaded, and wherein inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.The website number that such as, cannot access monitoring point in certain cycle exceedes some, then can actively judge that this task node lost efficacy in the next cycle, the wrong report that so can avoid this task node self problem to a certain extent and cause, reduces wrong report and occurs.
The embodiment of the present invention additionally provides the method for a kind of website survival detection, and the device 200 of any one website survival detection that the method for this website survival detection can be introduced by above example performs, to improve the reliability of website survival testing result.Fig. 4 is the schematic diagram of the method for website survival detection according to an embodiment of the invention, as it can be seen, the method for this website survival detection comprises the following steps:
Step S402, obtains the website visiting result data that multiple task node is uploaded；
Step S404, carries out Data Fusion to website visiting result data, obtains website survival judgment value；
Step S406, compares website survival judgment value and the survival judgment threshold preset；
Step S408, determines the survival testing result of detection targeted website according to result of the comparison.
Above website visiting result data is sent access request by each task node to detection targeted website, and according to targeted website, the response of access request is generated.The one of step S402 data acquiring mode alternatively is: receive the website visiting result data uploaded by multiple task nodes respectively；Being preserved to preset correlation data capsule as element by website visiting result data, each element is using the identification number of corresponding task node as index.This correlation data capsule so that the inquiry of follow-up data and process, can improve efficiency.
According to website visiting result data, step S404 can determine that the information of uploading and access result are abnormal task node quantity；When the information of uploading meets default Rule of judgment, it is that abnormal task node quantity is survived as website judgment value using accessing result.
Information of more than uploading can include the quantity of multiple task node, and the corresponding Rule of judgment preset includes: the quantity of multiple task nodes is more than default number of nodes.Such as whole task node quantity is 10, every time after having 8 task nodes to return website visiting result datas, it is possible to be that abnormal task node quantity is survived as website judgment value using access result.
The information of uploading can also include each task node and upload the time of data, and the corresponding Rule of judgment preset includes: the time of the website visiting result data that distance gets first task node exceedes preset time value.Such as, at task node at interval of a predetermined period, initiate an access request to detection targeted website and generate corresponding website visiting result data, if already more than the time in a cycle in the time that first task node uploads website visitation data, then can be directly just that abnormal task node quantity is survived as website judgment value using accessing result.
In other alternative embodiments, according to website visiting result data, step S404 can also determine that access result is abnormal task node；It is weighted according to the weighted value in advance task node set and calculates, and judgment value that the weighted value obtained is survived as website.Wherein the access number of detection targeted website can be determined by weighted value according to corresponding task node region, it is simple to calculates website survival judgment value and meets the situation of this website of actual access.
When be weighted draw website survival judgment value, still can be when the time that the quantity of task node and task node upload data meets respective Rule of judgment, proceed by the calculating of website survival judgment value.
The interference of testing result for the task node of self exception, can also filtering the website visiting result data that inefficacy task node is uploaded before step S404, wherein inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.The website number that such as, cannot access monitoring point in certain cycle exceedes some, then can actively judge that this task node lost efficacy in the next cycle, the wrong report that so can avoid this task node self problem to a certain extent and cause, reduces wrong report and occurs.
Step S408 can when website survive judgment value more than default survival judgment threshold determine that the survival of website is abnormal.For the ease of in time access exception being processed, can also export, after the survival determining website is abnormal, the warning message that website visiting is abnormal.Such as, the communicating number bound to this targeted website sends information or reports to the police to modes such as the mailbox transmission mails of binding.
Flow process to search for the survival detection of website to 360 is introduced below, and Fig. 5 is the optional flow chart of the method for website survival detection according to an embodiment of the invention.Before performing the method for this website survival detection, task node first analog subscriber access detection targeted website is also uploaded to middleware and the device of website survival detection by accessing result generation website visiting result data, and perform following steps:
Step S502, receives the data uploaded to task node, can data be unpacked after the receipt, the pretreatment operation such as re-groups package, and pretreated website visiting result data is put into a map, and wherein key is defined as the id of corresponding task node.Such as website www.so.com, when the data of first task node send over, in map, with the id of this first task node for key, create a container, this container is used for collecting the data of all of task node, and the data of the follow-up task node uploading data are all put in this map, uses for discriminatory analysis；
Step S504, judge that in container, all nodes have uploaded website visiting result data all, if, perform step S508, if it is not, perform step S506, such as website www.so.com, it is provided with 10 task nodes to conduct interviews detection, if 10 task nodes all upload website visiting result data, carries out next step and judge；
Step S506, judge that the time that first task node of current time distance uploads data exceedes preset time threshold, if, perform step S508, step S502 is performed, for instance initiate an access request and generate corresponding website visiting result data at interval of a predetermined period to detection targeted website at task node if it is not, return, if already more than the time in a cycle in the time that first task node uploads website visitation data, then just can perform next step and judge；
Step S508, it is judged that in the data of reception, whether the task node quantity of access exception reaches the outlier threshold preset, if so, performs step S510, performs step S502 if it is not, return；
Step S510, judge whether that all task nodes are all effective, if not, perform step S512, if determining that website visiting is abnormal, output access abnormal alarm information, such as can to each task node, it is analyzed in advance, if the Websites quantity that a certain task node cannot access within certain access cycle reaches a certain quantity, it is possible to think that externally connecting of this task node goes wrong, it is determined that this task node lost efficacy, need from basis for estimation, remove the task node of this inefficacy, to avoid because the reason of task node causes wrong report；
Step S512, it is judged that in effective task node, whether access exception quantity exceedes predetermined threshold value, determines that website visiting is normal if not, if so, determines that website visiting is abnormal, output access abnormal alarm information.
Except the quantity of the task node using access exception is as except basis for estimation, the mode of a kind of replacement is configure a weight for each task node in advance, when task node visit failure, is added up by weighted value, add according to weight and as website survival judgment value, be used for judging.Now have only to the judgment threshold of step S508 and step S512 is revised accordingly, it is possible to carry out website survival and judge.
For www.so.com above, it is assumed that have Beijing, Shanghai, Guangzhou, Hangzhou, Chengdu, 6, Xi'an task node is monitored simultaneously, and when having more than, 3 task nodes are abnormal then judges that website is as abnormal, it is assumed that certain carves Beijing, Shanghai, three, Guangzhou point data arrives first, and is all abnormal, this time, it is judged as website for abnormal, this makes it possible to inform rapidly user, the very possible access exception of website www.so.com of current monitor.If Beijing during certain detection, Shanghai, Guangzhou, Hangzhou, five, Chengdu node data comes, and be all normal, and the data of Xi'an telecommunications are not come up always, it is also possible to judge that website is normal.If the error rate connecting website in Xi'an telecommunications cycle exceedes certain threshold value, then it is assumed that the value of this point is insincere, time the next cycle judges, it is believed that this node itself is abnormal, get rid of outside judgment threshold.
The method using the website survival detection of the embodiment of the present invention, utilize the website visiting result of multiple task node, carry out Data Fusion and obtain website survival judgment value, as website survival testing result, take full advantage of the distributed nature of multiple task node, avoid the wrong report that individual task node brings due to self problem, improve the reliability of website survival testing result.
Further, the method of the website survival detection of the present embodiment is in data fusion process, by adjusting different task node weight in data handling, comply with network and access the practical situation of this website, the access situation making website survival outcome and this website matches, improve actually used impression, it is simple to rapidly fault is processed in time.
In description mentioned herein, describe a large amount of detail.It is to be appreciated, however, that embodiments of the invention can be put into practice when not having these details.In some instances, known method, structure and technology it are not shown specifically, in order to do not obscure the understanding of this description.
Similarly, it is to be understood that, one or more in order to what simplify that the disclosure helping understands in each inventive aspect, herein above in the description of the exemplary embodiment of the present invention, each feature of the present invention is grouped together in single embodiment, figure or descriptions thereof sometimes.But, the method for the disclosure should be construed to and reflect an intention that namely the present invention for required protection requires feature more more than the feature being expressly recited in each claim.More precisely, as the following claims reflect, inventive aspect is in that all features less than single embodiment disclosed above.Therefore, it then follows claims of detailed description of the invention are thus expressly incorporated in this detailed description of the invention, wherein each claim itself as the independent embodiment of the present invention.
Those skilled in the art are appreciated that, it is possible to carry out the module in the equipment in embodiment adaptively changing and they being 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 excludes each other, it is possible to adopt any combination that all processes or the unit of all features disclosed in this specification (including adjoint claim, summary and accompanying drawing) and so disclosed any method or equipment are combined.Unless expressly stated otherwise, each feature disclosed in this specification (including adjoint claim, summary and accompanying drawing) can be replaced by the alternative features providing purpose identical, equivalent or similar.
In addition, those skilled in the art it will be appreciated that, although embodiments more described herein include some feature included in other embodiments rather than further feature, but the combination of the feature of different embodiment means to be within the scope of the present invention and form different embodiments.Such as, in detail in the claims, the one of any of embodiment required for protection can mode use in any combination.
The all parts embodiment of the present invention can realize with hardware, or realizes 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 of the some or all parts that microprocessor or digital signal processor (DSP) can be used in practice to realize in website liveness detection means according to embodiments of the present invention and website survival detection system.The present invention is also implemented as part or all the equipment for performing method as described herein or device program (such as, computer program and computer program).The program of such present invention of realization can store on a computer-readable medium, or can have the form of one or more signal.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 rather than limits the invention to it should be noted above-described embodiment, and those skilled in the art can design alternative embodiment without departing from the scope of the appended claims.In the claims, any reference marks that should not will be located between bracket is configured to limitations on claims.Word " comprises " and does not exclude the presence of the element or step not arranged in the claims.Word "a" or "an" before being positioned at element does not exclude the presence of multiple such element.The present invention by means of including the hardware of some different elements and can realize by means of properly programmed computer.In the unit claim listing some devices, several in these devices can be through same hardware branch and specifically embody.Word first, second and third use do not indicate that any order.Can be title by these word explanations.
So far, those skilled in the art will recognize that, although the detailed multiple exemplary embodiments illustrate and describing the present invention herein, but, without departing from the spirit and scope of the present invention, still can directly determine according to present disclosure or derive other variations or modifications many meeting the principle of the invention.Therefore, the scope of the present invention is it is understood that cover all these other variations or modifications with regarding as.
The embodiment of the present invention additionally provides the method for an A1. website survival detection, including:
Obtaining the website visiting result data that multiple task node is uploaded, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated described website visiting result data；
Described website visiting result data is carried out Data Fusion, obtains website survival judgment value；
Relatively described website survival judgment value and the survival judgment threshold preset；
The survival testing result of described detection targeted website is determined according to described result of the comparison.
A2. the method according to A1, wherein, carries out Data Fusion to described website visiting result data and includes:
Determine that the information of uploading and access result are abnormal described task node quantity according to described website visiting result data；
Described upload information meet default Rule of judgment time, be that abnormal task node quantity is survived as described website judgment value using described access result.
A3. the method according to A2, wherein,
Described information of uploading includes the quantity of the plurality of task node,
Described default Rule of judgment includes: the quantity of the plurality of task node is more than default number of nodes.
A4. the method according to A2, wherein,
Described information of uploading includes each described task node and uploads the time of data,
Described default Rule of judgment includes: the time of the website visiting result data that distance gets first described task node exceedes preset time value.
A5. the method according to A1, wherein, carries out Data Fusion to described website visiting result data and includes:
Determine that access result is abnormal described task node according to described website visiting result data；
It is weighted according to the weighted value in advance described task node set and calculates, and judgment value that the weighted value obtained is survived as described website.
A6. the method according to any one of A1 to A5, wherein, also includes before described website visiting result data is carried out Data Fusion:
Filtering the website visiting result data that inefficacy task node is uploaded, wherein said inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.
A7. the method according to any one of A1 to A5, wherein, obtains the website visiting result data that multiple task node uploads and includes:
Receive the website visiting result data uploaded by the plurality of task node respectively；
Being preserved to preset correlation data capsule as element by website visiting result data, each described element is using the identification number of corresponding task node as index.
A8. the method according to any one of A1 to A5, wherein,
Judgment value of surviving in described website determines that more than described survival judgment threshold the survival of described website also includes after abnormal:
Export the warning message that described website visiting is abnormal.
Additionally the embodiment of the present invention additionally provides the device of a B9. website survival detection, including:
Data acquisition module, it is configured to obtain the website visiting result data that multiple task node is uploaded, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated described website visiting result data；
Data processing module, is configured to described website visiting result data is carried out Data Fusion, obtains website survival judgment value；
Analysis module, is configured to survival judgment value in website described in comparison and the survival judgment threshold preset the survival testing result determining described detection targeted website according to described result of the comparison.
B10. the device according to B9, wherein, described data processing module is additionally configured to:
Determine that the information of uploading and access result are abnormal described task node quantity according to described website visiting result data；
Described upload information meet default Rule of judgment time, be that abnormal task node quantity is survived as described website judgment value using described access result.
B11. the device according to B10, wherein,
Described information of uploading includes the quantity of the plurality of task node,
Described default Rule of judgment includes: the quantity of the plurality of task node is more than default number of nodes.
B12. the device according to B10, wherein,
Described information of uploading includes each described task node and uploads the time of data,
Described default Rule of judgment includes: the time of the website visiting result data that distance gets first described task node exceedes preset time value.
B13. the device according to B9, wherein said data processing module is additionally configured to:
Determine that access result is abnormal described task node according to described website visiting result data；
It is weighted according to the weighted value in advance described task node set and calculates, and judgment value that the weighted value obtained is survived as described website.
B14. the device according to any one of B9 to B13, also includes:
Data filter module, are configured to filter the website visiting result data that inefficacy task node is uploaded, and wherein said inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.
B15. the device according to any one of B9 to B13, wherein said data acquisition module is additionally configured to:
Receive the website visiting result data uploaded by the plurality of task node respectively；
Being preserved to preset correlation data capsule as element by website visiting result data, each described element is using the identification number of corresponding task node as index.
B16. the device according to any one of B9 to B13, also includes:
Alarm module, is configured to survive according to described website after judgment value determines that more than described survival judgment threshold the survival of described website is abnormal at described analysis module, exports the warning message that described website visiting is abnormal.
It addition, the embodiment of the present invention additionally provides C17. website survival detection system, including:
Multiple task nodes, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated website visiting result data；
The device of the website survival detection according to any one of B9 to B16.
Claims (10)
1. a method for website survival detection, including:
Obtaining the website visiting result data that multiple task node is uploaded, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated described website visiting result data；
Described website visiting result data is carried out Data Fusion, obtains website survival judgment value；
Relatively described website survival judgment value and the survival judgment threshold preset；
The survival testing result of described detection targeted website is determined according to described result of the comparison.
2. method according to claim 1, wherein, carries out Data Fusion to described website visiting result data and includes:
Determine that the information of uploading and access result are abnormal described task node quantity according to described website visiting result data；
Described upload information meet default Rule of judgment time, be that abnormal task node quantity is survived as described website judgment value using described access result.
3. method according to claim 2, wherein,
Described information of uploading includes the quantity of the plurality of task node,
Described default Rule of judgment includes: the quantity of the plurality of task node is more than default number of nodes.
4. method according to claim 2, wherein,
Described information of uploading includes each described task node and uploads the time of data,
Described default Rule of judgment includes: the time of the website visiting result data that distance gets first described task node exceedes preset time value.
5. method according to claim 1, wherein, carries out Data Fusion to described website visiting result data and includes:
Determine that access result is abnormal described task node according to described website visiting result data；
It is weighted according to the weighted value in advance described task node set and calculates, and judgment value that the weighted value obtained is survived as described website.
6. method according to any one of claim 1 to 5, wherein, also includes before described website visiting result data is carried out Data Fusion:
Filtering the website visiting result data that inefficacy task node is uploaded, wherein said inefficacy task node is access the abnormal rate of website in preset time period to exceed the task node of preset value.
7. method according to any one of claim 1 to 5, wherein, obtains the website visiting result data that multiple task node uploads and includes:
Receive the website visiting result data uploaded by the plurality of task node respectively；
Being preserved to preset correlation data capsule as element by website visiting result data, each described element is using the identification number of corresponding task node as index.
8. method according to any one of claim 1 to 5, wherein,
Judgment value of surviving in described website determines that more than described survival judgment threshold the survival of described website also includes after abnormal:
Export the warning message that described website visiting is abnormal.
9. a device for website survival detection, including:
Data acquisition module, it is configured to obtain the website visiting result data that multiple task node is uploaded, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated described website visiting result data；
Data processing module, is configured to described website visiting result data is carried out Data Fusion, obtains website survival judgment value；
Analysis module, is configured to survival judgment value in website described in comparison and the survival judgment threshold preset the survival testing result determining described detection targeted website according to described result of the comparison.
10. a website survival detection system, including:
Multiple task nodes, each described task node is configured to send access request to detection targeted website, and according to described targeted website, the response of described access request is generated website visiting result data；
The device of website according to claim 9 survival detection.
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