CN104268070A - Semanteme-based Web service automatic calling and QoS information monitoring method - Google Patents
Semanteme-based Web service automatic calling and QoS information monitoring method Download PDFInfo
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Abstract
The invention relates to the technical field of Web service and aims to achieve monitoring on the availability and response time of Web service and other QoS information, greatly relieve the load of manual parameter input, save time and expense and ensure QoS accuracy and timeliness. The technical scheme includes that a semanteme-based Web service automatic calling and QoS information monitoring method includes steps of: (1) parsing a WSDL (Web Services Description Language) document of Web service; (2) building a Web service tagging model based on DBpedia associated data; (3) judging whether the tagging result is an ontology concept; (4) making the tagged ontology concept to be the object; (5) sending a request with an SPARQL (Simple Protocol And Rdf Query Language) packaged in to a DBpedia SPARQL protocol terminal http://dbpedia.org/sparql by aid of Java Script. The semanteme-based Web service automatic calling and QoS information monitoring method is mainly applied to Web service.
Description
Technical field
The present invention relates to Web service technology field, specifically, relate to a kind of Web service automatic-calling method based on semanteme, and automatic service QoS monitoring method.
Technical background
Web service is the major technique realizing service-oriented computing, is that the best of Enterprise SOA (SOA) realizes.Service interface describes, and as the interface of the machine readable format that Web Services Description Language (WSDL) (WSDL) defines, from the operation that data and function two aspect definition softwares are supported, describes the information such as service operation environment, input/output parameters.Current SOA software test obtains the extensive concern of researcher and developer, and the software system test necessity based on service considers three factors: robotization, dynamic cooperation ability, service autonomous calculating.Service reconstruct needs to continue verification and validation on the internet to ensure the demand that Web service meets real life and applies in function and performance.
In addition, service quality (Quality of Service, QoS) from different perspectives the quality of service is assessed, as response time, availability, security, reliability, service price, handling capacity, accuracy, extensibility, concurrent processing ability etc.QoS information plays an important role in the discovery of Web service, combination, reciprocal process, is the one tolerance that Web service meets service requester requirement capability.The acquisition of current QoS data mainly relies on the issue of service provider and the feedback information of user, and these two kinds of modes are all subjective obtain manners.In addition, along with the growth of quantity of service, for the service of batch, the mode of manual configuration parameter not only expends time in, and also very easily occurs mistake.Web service may be modified and develop after issuing, and the QoS information of service also needs to be updated, thus keeps the ageing of information.Gather QoS data by automatically service call operation service, the deceptive information that service provider can be avoided to provide and the subjective assessment difference of client, make QoS data have better accuracy and promptness.Therefore, realize Web service and call robotization, service testing and QoS monitoring automation can be made, greatly solve the burden of artificial input parameter, save time and expense.
The robotization generation that most important content is supplemental characteristic is called in the robotization realizing service.But automatic parameter data genaration has certain difficulty.In SOA, the coupling of service loosely, this means that they are independent of developing each other, thus does not have consistent common interface.Therefore, how to ensure the input information that Web service requestor can provide Web service supplier to need to become problem demanding prompt solution.At present, the proposition of Semantic Web Services, in order to realize machine understandable Web service, is intended to the process such as Web service discovery and combination realizing robotization.But the unspecial description to QoS in semantic Web service finding method, QoS monitoring still needs artificial participation, therefore still cannot support in bulk, automatically service call and QoS information obtain.
For above problem, be necessary to propose a kind of Web service Automatically invoked and QoS information monitoring method, be convenient to the service QoS information Real-Time Monitoring of batch.
Summary of the invention
For overcoming the deficiencies in the prior art, utilize the description document based on service interface and semantic network technology, the calling data of automatic generation Web service is also mutual with Web service, realize the monitoring to the QoS information such as availability, response time of Web service, greatly solve the burden of artificial input parameter, save time and expense, and the accuracy of guaranteed qos and ageing.For this reason, the technical scheme that the present invention takes is, based on Web service Automatically invoked and the QoS information monitoring method of semanteme
(1) resolve the wsdl document of Web service, obtain service name, service interface title, service interface description, service parameter title, service parameter type;
(2) DBpedia body is utilized to mark service parameter, comprise the Web service marking model set up based on DBpedia associated data, carry out parameter to Web service parameter layer refine and clean, utilize DBpedia Spotlight to apply the parameter association after each cleaning of Web service on a suitable DBpedia instance data or Ontological concept;
(3) judge whether annotation results is Ontological concept, if so, then perform step (4); If not, then step (10) is performed;
(4) using mark Ontological concept as object, predicate is the rdf:type attribute of resource description framework (RDF), according to simple protocol and resource description framework query language (Simple Protocol and RDF Query Language, SPARQL) syntax rule, generates SPARQL statement;
(5) JavaScript transmission is utilized to be packaged with the request of SPARQL query statement to DBpedia SPARQL protocol terminal http://dbpedia.org/sparql;
(6) obtain the service returns results of Object Notation JSON (JavaScript Object Notation, JavaScript) form, decapsulation is carried out to it;
(7) judge to return results whether comprise example, if so, then perform step (8); If not, then step (11) is performed;
(8) obtain the example list returned results, be the list of the example value under this Ontological concept;
(9) order reads an example value in example list;
(10) judge whether this example value comprises the character except upper and lower case letter and underscore, if so, then perform step (9); If not, then step (12) is performed;
(11) based on the test data of constrained model generation service parameter;
(12) according to test data, extend markup language (XML) file of parameter is automatically generated;
(13) utilize XML file called Web service, obtain QoS information;
(14) QoS information of this service obtained is recorded;
(15) set the time cycle that timing automatic upgrades QoS information, trigger the automatic monitoring of QoS to after date, namely perform step (1).
Step of the present invention (11) detailed process is as follows:
11.1 read the parameter information of serving;
11.2 judge whether this parameter is simple data type, if so, then perform step 11.5; If not, then step 11.3 is performed;
The parameter of 11.3 decomposition complicated types;
11.4 judge whether the parameter after complex parameters decomposition is simple types, if so, then perform step 11.5; If not, then perform step 11.3 to continue to decompose complicated type parameter;
11.5 obtain this parameter information and constraint condition;
11.6 judge that whether this parameter is the pattern element of XML framework, if so, then perform step 11.7; If not, then step 11.8 is performed;
11.7 call the test value that REX (XML remote events, Remote Events for XML) generates parameter, perform step 11.10;
The scope of 11.8 parameters, size, length constraint restriction;
11.9 stochastic generation parameter testing values;
11.10 records are based on the test data of constrained model generation service parameter.
Step of the present invention (13) detailed process is as follows:
13.1 newly-built Axis2 service clients;
The XML file of 13.2 parsing test parameters;
Test parameter value to be packaged into the OMElement object in Axis2 by 13.3;
13.4 according to the interface interchange Web service of serving;
13.5 judge that whether service call is successful, if so, then perform step 13.6; If not, then step 13.10 is performed;
13.6 according to the interval time transmiting a request to acceptance response information, the response time of calculation services;
13.7 within given a period of time, the call number total according to service, the throughput of calculation services;
13.8 within given a period of time, according to service by the number of times successfully paid, and the reliability of calculation services;
The QoS monitoring journal of 13.9 record services, the time comprising record service call, the number of times etc. called, perform step 13.12;
13.10 utilize AxisFault to obtain abnormal information, and its abnormal conditions comprise and connect abnormal (ConnectException), input and output abnormal (I/O Exception), unknown main frame abnormal (UnknownHostException), HTTP 301 mistake (HTTP 301Error), HTTP 302 mistake (HTTP 302Error), Simple Object Access Protocol abnormal (SoapException);
13.11 the analysis result of abnormal conditions is recorded to service call in abnormal log;
13.12 according to calling and anomaly analysis result, obtains the accessibility of service.
Compared with the prior art, technical characterstic of the present invention and effect:
The present invention by Automatically invoked Web service, realizes the monitoring of the QoS information such as the availability to Web service, response time, greatly solves the burden of artificial input parameter, save time and expense, and the accuracy of guaranteed qos and ageing; Meanwhile, the present invention also helps and improves service quality, and improves the knowability of service consumer.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of Web service Automatically invoked provided by the invention and QoS information monitoring method;
Fig. 2 is the process flow diagram based on constrained model generation parameter testing data provided by the invention;
Fig. 3 is the process flow diagram of automatic acquisition QoS information method provided by the invention;
Fig. 4 is the abort branch situation of called Web service return message provided by the invention.
Embodiment
The technical solution used in the present invention is:
(1) resolve the wsdl document of Web service, obtain service name, service interface title, service interface description, service parameter title, service parameter type;
(2) DBpedia body is utilized to mark service parameter, comprise the Web service marking model set up based on DBpedia associated data, carry out parameter to Web service parameter layer refine and clean, utilize DBpedia Spotlight to apply on the parameter association after each cleaning of Web service to a suitable DBpedia instance data or Ontological concept (see patent 201310172375.1);
(3) judge whether annotation results is Ontological concept, if so, then perform step (4); If not, then step (10) is performed;
(4) using the Ontological concept of mark as object, predicate is the rdf:type attribute of RDF, according to SPARQL syntax rule, generates SPARQL statement;
(5) JavaScript transmission is utilized to be packaged with the request of SPARQL query statement to DBpedia SPARQL protocol terminal http://dbpedia.org/sparql;
(6) obtain the service returns results of JSON form, carry out decapsulation;
(7) judge to return results whether comprise example, if so, then perform step (8); If not, then step (11) is performed;
(8) obtain the example list returned results, be the list of the example value under this Ontological concept;
(9) order reads an example value in example list;
(10) judge whether this example value comprises the character except upper and lower case letter and underscore, if so, then perform step (9); If not, then step (12) is performed;
(11) based on the test data of constrained model generation service parameter;
(12) according to test data, the XML file of parameter is automatically generated;
(13) utilize XML file called Web service, obtain QoS information;
(14) QoS information of this service obtained is recorded;
(15) set the time cycle that timing automatic upgrades QoS information, trigger the automatic monitoring of QoS to after date, namely perform step (1).
Step of the present invention (11) detailed process is as follows:
11.1 read the parameter information of serving;
11.2 judge whether this parameter is simple data type, if so, then perform step 11.5; If not, then step 11.3 is performed;
The parameter of 11.3 decomposition complicated types;
11.4 judge whether the parameter after complex parameters decomposition is simple types, if so, then perform step 11.5; If not, then perform step 11.3 to continue to decompose complicated type parameter;
11.5 obtain this parameter information and constraint condition;
11.6 judge that whether this parameter is the pattern element of XML framework, if so, then perform step 11.7; If not, then step 11.8 is performed;
11.7 call the test value that REX (XML remote events, Remote Events for XML) generates parameter, perform step 11.10;
The scope of 11.8 parameters, size, length constraint restriction;
11.9 stochastic generation parameter testing values;
11.10 records are based on the test data of constrained model generation service parameter.
Step of the present invention (13) detailed process is as follows:
13.1 newly-built Axis2 service clients;
The XML file of 13.2 parsing test parameters;
13.3 OMElement objects test parameter value being packaged into Axis2;
13.4 according to the interface interchange Web service of serving;
13.5 judge that whether service call is successful, if so, then perform step 13.6; If not, then step 13.10 is performed;
13.6 according to the interval time transmiting a request to acceptance response information, the response time of calculation services;
13.7 within given a period of time, the call number total according to service, the throughput of calculation services;
13.8 within given a period of time, according to service by the number of times successfully paid, and the reliability of calculation services;
The QoS monitoring journal of 13.9 record services, the time comprising record service call, the number of times etc. called, perform step 13.12;
13.10 utilize AxisFault to obtain abnormal information, and its abnormal conditions comprise ConnectException, I/O Exception, UnknownHostException, HTTP 301Error, HTTP 302Error, SoapException;
13.11 the analysis result of abnormal conditions is recorded to service call in abnormal log;
13.12 according to calling and anomaly analysis result, obtains the accessibility of service.
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
In order to reduce the burden of artificial input parameter, the accuracy of guaranteed qos and ageing, the invention process provides a kind of Web service Automatically invoked and QoS information monitoring method, see Fig. 1, Fig. 2 and Fig. 3, described below:
(1) resolve the wsdl document of Web service, Dom4j tool parses Web service document can be utilized, thus obtain service name under corresponding label, service interface title, service interface description, service parameter title, service parameter type;
(2) DBpedia body is utilized to mark service parameter, comprise the Web service marking model set up based on DBpedia associated data, carry out parameter to Web service parameter layer refine and clean, utilize DBpedia Spotlight to apply on the parameter association after each cleaning of Web service to a suitable DBpedia instance data or Ontological concept (see patent 201310172375.1);
(3) judge whether annotation results is Ontological concept, if so, then need to find corresponding example as the test data of parameter, namely perform step (4); If not, then this mark example directly can be utilized as the test data of parameter, namely perform step (10);
(4) using mark Ontological concept as object, predicate is rdf:type, according to SPARQL (simple protocol and resource description framework query language, Simple Protocol and RDF Query Language) syntax rule, generate SPARQL statement, be the SPARQL statement that DBpedia Ontological concept http://dbpedia.org/ontology/Currency is corresponding below, front 2000 example value of acquisition;
PREFIX?owl：<http：//www.w3.org/2002/07/owl#>
PREFIX?xsd：<http：//wwww.w3.org/2001/XMLSchema#>
PREFIX?rdfs：<http：//www.w3.org/2000/01/rdf-schema#>
PREFIX?rdf：<http：//www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX?foaf：<http：//xmlns.com/foaf/0.1/>
PREFIX?dc：<http：//purl.org/dc/elements/1.1/>
PREFIX：<http：//dbpedia.org/resource/>
PREFIX?dbpedia2：<http：//dbpedia.org/property/>
PREFIX?dbpedia：<http：//dbpedia.org/>
PREFIX?skos：<http：//www.w3.org/2004/02/skos/core#>
SELECT*WHERE{
？subject?rdf：type<http：//dbpedia.org/ontology/Currency>
}LIMIT2000
(5) JavaScript transmission is utilized to be packaged with the request of SPARQL query statement to DBpedia SPARQL protocol terminal http://dbpedia.org/sparql;
(6) obtain the service returns results of JSON form, carry out decapsulation;
(7) judge to return results whether comprise example, if so, then perform step (8); If not, then perform step (11), because some Ontological concept is the example that cannot inquire its correspondence, as the IP_address class for DBpedia body, we can not obtain sample result, therefore need to utilize parameter information and constraint automatically to generate the test data of parameter;
(8) obtain the example list that returns results, the example being the list of the example value under this Ontological concept as corresponding in Currency concept has the example value such as http://dbpedia.org/resource/Krak%C3%B3w_z%C5%82oty, http://dbpedia.org/resource/Polish_Z%C5%82oty, http://dbpedia.org/resource/Straits_Dollar;
(9) order reads an example value in example list;
(10) judge whether this example value comprises the character except upper and lower case letter and underscore, if, then perform step (9), as above-mentioned Currency concept, then get the test data of the 3rd example as parameter, and two example value are filtered above, so just remain the example value more meeting people and understand, increase service call success ratio; If not, then step (12) is performed;
(11) based on the test data of constrained model generation service parameter;
(12) according to test data, the XML file of automatic generation parameter, the XML file of automatic generation parameter, PostalCodeWorld_Mexico is the method name under Web service, PostalCode and LICENSE two parameters are had below it, and our algorithm realization generates the value that parameter is exactly these two labels automatically, parameter value wherein under PostalCode is generate based on the parameter generation algorithm under Ontological concept, and the parameter value under LICENSE is generate based on the parameter generation algorithm under constrained;
(13) utilize XML file called Web service, obtain QoS information;
(14) QoS information of this service obtained is recorded;
(15) set the time cycle that timing automatic upgrades QoS information, trigger the automatic monitoring of QoS to after date, namely perform step (1).
Step of the present invention (11) is based on constrained model generation parameter testing data method, perform when the example value that parameter is corresponding is empty, be by the parameter information that obtains in global variable and constraint condition, utilize Random Generation to obtain parameter value according to its simple data type, scope, size, length restriction.Its flow process is see Fig. 2, and detailed process is as follows:
11.1 read the parameter information of serving, and the basis of above-mentioned steps (1) directly can obtain parameter information;
11.2 judge whether this parameter is simple data type, if so, then perform step 11.5; If not, then step 11.3 is performed;
11.3, according to the definition of WSDL document, decompose the parameter of complicated type;
11.4 judge whether the parameter after complex parameters decomposition is simple types, if so, then perform step 11.5; If not, then perform step 11.3 to continue to decompose complicated type parameter;
11.5 obtain this parameter information and constraint condition;
11.6 judge that whether this parameter is the pattern element of XML framework, if so, then perform step 11.7; If not, then step 11.8 is performed; Particularly, the algorithm generated based on the parameter of restricted model is as follows:
11.7 call the test value that REX (XML remote events, Remote Events for XML) generates parameter, perform step 11.10;
The scope of 11.8 parameters, size, length constraint restriction;
If 11.9 types are the simple data types such as int, String, float, date, bool, stochastic generation parameter testing value;
11.10 records are based on the test data of constrained model generation service parameter.
High-quality Web service should be stable, reliable.For the QoS information of automatic acquisition Web service, service QoS is described as by the present invention: QoS={Rt, T, Rb, A}, comprises the response time (Response Time) of service, throughput (Throughput), reliability (Reliability) and accessibility (Availability).Wherein, response time of service and current networking situation have certain relation.Response time equals the interval time that user transmit a request to acceptance response information, and be service processing time and service transmission time sum, formula is: T=Ts+Tc.Wherein Ts represents service time, and Tc represents call duration time; The throughput of service referred in given a period of time, served total call number, and throughput increases, then the response time also will become large; Reliability of service referred within the greatest expected time, asked by the probability correctly responded, and can be calculated by the number of times of serving within the greatest expected time by successfully paying divided by the total call number of finger; Service accessibility refer to the probability that service can be accessed within certain specific a period of time, can by service can be accessed total time calculate divided by this time period.
Step of the present invention (13) is automatic acquisition QoS information method, calls service with Asix2, and automatically will generate parameter assignment to this service, obtains the information returned from server, and carries out the operations such as abnormality processing to information.Its flow process is see Fig. 3, and detailed process is as follows:
13.1 newly-built Axis2 service clients;
The XML file of 13.2 parsing test parameters;
13.3 OMElement objects test parameter value being packaged into Axis2;
13.4 according to the interface interchange Web service of serving;
13.5 judge that whether service call is successful, if so, then perform step 13.6; If not, then step 13.10 is performed;
13.6 according to the interval time transmiting a request to acceptance response information, the response time of calculation services;
13.7 within given a period of time, the call number total according to service, the throughput of calculation services;
13.8 within given a period of time, according to service by the number of times successfully paid, and the reliability of calculation services;
The QoS monitoring journal of 13.9 record services, the time comprising record service call, the number of times etc. called, perform step 13.12;
13.10 utilize AxisFault to obtain abnormal information, its abnormal conditions comprise ConnectException, I/O Exception, UnknownHostException, HTTP 301Error, HTTP 302Error, SoapException, if tie-time that abnormal results is ConnectException, I/O Exception, UnknownHostException to be caused time-out, availablely think that this type of service is no longer survived; If abnormal results is HTTP 301Error, HTTP 302Error, SoapException causes because SoapAction is abnormal; If abnormal results is all method parameter malloc failure mallocs, then in order automatically to generate, parameter is illegal to be caused.
13.11 the analysis result of abnormal conditions is recorded to service call in abnormal log;
13.12 according to calling and anomaly analysis result, obtains the accessibility of service.
Claims (3)
1., based on Web service Automatically invoked and the QoS information monitoring method of semanteme, it is characterized in that, comprise the following steps:
(1) resolve the wsdl document of Web service, obtain service name, service interface title, service interface description, service parameter title, service parameter type;
(2) DBpedia body is utilized to mark service parameter, comprise the Web service marking model set up based on DBpedia associated data, carry out parameter to Web service parameter layer refine and clean, utilize DBpedia Spotlight to apply the parameter association after each cleaning of Web service on a suitable DBpedia instance data or Ontological concept;
(3) judge whether annotation results is Ontological concept, if so, then perform step (4); If not, then step (10) is performed;
(4) using the Ontological concept of mark as object, predicate is rdf:type, according to simple protocol and resource description framework query language SPARQL syntax rule, generates SPARQL statement;
(5) JavaScript transmission is utilized to be packaged with the request of SPARQL query statement to DBpedia SPARQL protocol terminal http://dbpedia.org/sparql;
(6) obtain the service returns results of JSON form, decapsulation is carried out to it;
(7) judge to return results whether comprise example, if so, then perform step (8); If not, then step (11) is performed;
(8) obtain the example list returned results, be the list of the example value under this Ontological concept;
(9) order reads an example value in example list;
(10) judge whether this example value comprises the character except upper and lower case letter and underscore, if so, then perform step (9); If not, then step (12) is performed;
(11) based on the test data of constrained model generation service parameter;
(12) according to test data, the XML file of parameter is automatically generated;
(13) utilize XML file called Web service, obtain QoS information;
(14) QoS information of this service obtained is recorded;
(15) set the time cycle that timing automatic upgrades QoS information, trigger the automatic monitoring of QoS to after date, namely perform step (1).
2., as claimed in claim 1 based on Web service Automatically invoked and the QoS information monitoring method of semanteme, it is characterized in that, step (11) detailed process is as follows:
11.1 read the parameter information of serving;
11.2 judge whether this parameter is simple data type, if so, then perform step 11.5; If not, then step 11.3 is performed;
The parameter of 11.3 decomposition complicated types;
11.4 judge whether the parameter after complex parameters decomposition is simple types, if so, then perform step 11.5; If not, then perform step 11.3 to continue to decompose complicated type parameter;
11.5 obtain this parameter information and constraint condition;
11.6 judge that whether this parameter is the pattern element of XML framework, if so, then perform step 11.7; If not, then step 11.8 is performed;
11.7 call the test value that REX generates parameter, perform step 11.10;
The scope of 11.8 parameters, size, length constraint restriction;
11.9 stochastic generation parameter testing values;
11.10 records are based on the test data of constrained model generation service parameter.
3., as claimed in claim 1 based on Web service Automatically invoked and the QoS information monitoring method of semanteme, it is characterized in that, step
(13) detailed process is as follows:
13.1 newly-built Axis2 service clients;
The XML file of 13.2 parsing test parameters;
Test parameter value is packaged into OMElement object by 13.3;
13.4 according to the interface interchange Web service of serving;
13.5 judge that whether service call is successful, if so, then perform step 13.6; If not, then step 13.10 is performed;
13.6 according to the interval time transmiting a request to acceptance response information, the response time of calculation services;
13.7 within given a period of time, the call number total according to service, the throughput of calculation services;
13.8 within given a period of time, according to service by the number of times successfully paid, and the reliability of calculation services;
The QoS monitoring journal of 13.9 record services, the time comprising record service call, the number of times etc. called, perform step 13.12;
13.10 utilize AxisFault to obtain abnormal information, and its abnormal conditions comprise ConnectException, I/O Exception, UnknownHostException, HTTP 301Error, HTTP 302Error, SoapException;
13.11 the analysis result of abnormal conditions is recorded to service call in abnormal log;
13.12 according to calling and anomaly analysis result, obtains the accessibility of service.
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