CN102833315A - Method for constructing UDDI (universal description, discovery and integration) extended model in cloud computing environment - Google Patents

Abstract

The invention discloses a method for constructing an UDDI (universal description, discovery and integration) extended model in a cloud computing environment. When a cloud service provider registers, basic information, quality information and resource information of service are registered into an extended UDDI model, and a register agent receives the information and processes the information; and when a cloud service user queries, querying is carried out in the extended UDDI model by virtue of the basic information, the quality information and the resource information of the service, and a query agent receives the information and processes the information. The method disclosed by the invention considers the characteristic of the cloud computing environment, the quality information and the resource information of the cloud service are extended into the existing UDDI model, and when the cloud service provider registers the service, the quality information and the resource information of the cloud service also can be registered; and the cloud service user also can screen the service by utilizing the quality information and the resource information of the service as constraint conditions by virtue of the extended UDDI model.

Description

The building method of the UDDI extended model in a kind of cloud computing environment

Technical field

The present invention relates to the building method of the UDDI extended model in a kind of cloud computing environment, belong to the Web service applied technical field under the cloud computing environment.

Background technology

Along with Internet constantly development and Web Services in standard, realize technology (SOAP (Simple Object Access Protocol; Simple Object Access Protocol), UDDI (Universal Description Discovery and Integration; Unified description, discovery and integrated agreement) and WSDL (Web Services Description Language; Etc. WSDL: a kind ofly be used for describing the XML language how Web service and explanation communicate by letter with Web service)) aspect is constantly ripe, so Web service becomes one of key technology that realizes cloud serviceization.Under SOA calculated pattern, UDDI (Universal Description, Discovery and Integration) played the key effect of intermediary as the unified registration center of Web Service, was the infrastructure of Web Services when moving.Cloud computing is as a kind of new calculating pattern, and it is mixing evolution such as Intel Virtualization Technology, effectiveness calculating, parallel computation, Distributed Calculation and the result that rises to, has represented the state-of-the-art theory in current I T field.Cloud computing can be regarded as a series of service, so cloud serviceization is the focus in the current cloud computing research.But; In the environment of cloud computing; UDDI can not satisfy " XaaS (X as a service; all are all the served) " theory in the cloud computing well, and subject matter has: 1) existing UDDI does not provide direct not function to describe mechanism, and the service user can't select to satisfy the service of their quality requirement fast in the service of congenerous; 2) Web service under the SOA (Service-Oriented Architecture, service-oriented architectural framework) can only registered and find to existing UDDI model easily, do not have effective registration and discovery mechanism for the service of broad sense under the cloud environment.

Summary of the invention

Goal of the invention: to the problem and shortage of above-mentioned prior art existence; The building method that the purpose of this invention is to provide the UDDI extended model in a kind of cloud computing environment; Consider the characteristics of cloud computing environment; Existing UDDI model is gone in the quality information (QoS, Quality of Service) and resource information (RoS, the Resource of Service) expansion of cloud service; Back literary composition closes the quality information of service and resource information and is called quality resource information (R&QoS, Quality & Resource of Service).(Cloud Service Provider CSP) during registration service, can register the quality and the resource information of cloud service simultaneously in cloud service provider; Simultaneously, cloud service user (Consumer) also can utilize the quality and the resource information constraints screening service of service through the UDDI model of expansion.

Technical scheme: for realizing the foregoing invention purpose; The technical scheme that the present invention adopts is the building method of the UDDI extended model in a kind of cloud computing environment; When cloud service provider registers, essential information, quality information and the resource information of service are registered in the UDDI model of expansion, trade mark agency receives these information; And these information are handled, treatment step comprises:

Step 1: obtain all log-on messages;

Step 2: the API (Application Programming Interface, API) that UDDI is called in trade mark agency comes registering functional information;

Step 3: judge whether to have filled in QoS information; If filled in then jump to step 4, otherwise jump to step 5;

Step 4: obtain QoS information; Jump to step 6;

Step 5: initial Q oS information is set;

Step 6: judge whether to have filled in RoS information; If filled in then jump to step 7, otherwise jump to step 8;

Step 7: obtain RoS information;

Step 8: the trade mark agency of resource quality information is called in trade mark agency;

Step 9: the quality and the resource information of resource quality information trade mark agency registration service;

Step 10: return result;

When the cloud service user inquires about, through essential information, quality information and the resource information of service, from the UDDI model of expansion, inquire about, inquiry proxy receives these information, and these information are handled, and treatment step comprises:

Step 1: obtain all Query Informations;

Step 2: inquiry proxy calls the Back ground Information inquiry proxy;

Step 3: the Back ground Information inquiry proxy calls the inquiry API of UDDI;

Step 4: find the service list that satisfies functional requirement;

Step 5: judge whether tabulation is empty, if then jump to step 15; If it is not empty then jump to step 6;

Step 6: obtain quality and resource constraint information;

Step 7: whether in tabulation have service do not calculate satisfaction, if having then execution in step 8 if judging; Otherwise jump to step 13;

Step 8: get a service of not calculating satisfaction;

Step 9: the quality and the resource information that obtain this service;

Step 10: judge whether to satisfy resource constraint,, otherwise jump to step 12 if satisfy then carry out step 11;

Step 11: calculate the satisfaction that satisfies qualitative restrain; Jump to step 7;

Step 12: in tabulation, remove and to serve, jump to step 7;

Step 13: all services are arranged according to the size of its satisfaction from big to small;

Step 14: return service list;

Step 15: returning prompting does not have the information on services that satisfies condition.

In the UDDI model of expansion; Mainly contain two submodels; Be respectively the quality model and the resource model of service; Mainly comprise definition and quantification for quality of service information in the quality model, the quality type that mainly comprises has response time, credit worthiness, availability, price, and they have been carried out concrete definition.In the resource model, mainly be definition and the quantification to resource information, resource information comprises hardware resource, Internet resources, cpu resource.

Description of drawings

Fig. 1 is the UDDI model structure sketch map of expansion.

Embodiment

Below in conjunction with accompanying drawing and specific embodiment; Further illustrate the present invention; Should understand these embodiment only be used to the present invention is described and be not used in the restriction scope of the present invention; After having read the present invention, those skilled in the art all fall within the application's accompanying claims institute restricted portion to the modification of the various equivalent form of values of the present invention.

The present invention provides a kind of UDDI extended model system that can be applied under the cloud environment; Belong to the Web service correlation technique in the cloud computing research; The user role that affiliated model system relates generally to has: (the Cloud Service Provider of cloud service provider; CSP), service consumer (Consumer), spreading UDDI (Extended UDDI).Comprise mainly in the spreading UDDI model system that module has: trade mark agency (Publish Agent); Back ground Information trade mark agency (UDDI_Pub agent); Resource quality information trade mark agency (R&QoS_Pub Agent), inquiry proxy (Search Agent), Back ground Information inquiry proxy (UDDI_Search Agent); Resource quality inquiry proxy (R&QoS_Pub Search Agent), quality information authentication center (QoS Certifier).The spreading UDDI model system is stored into database with essential information, quality information and the resource information of the cloud service that cloud provider provides through spreading UDDI.Trade mark agency is given the Back ground Information trade mark agency with the essential information of service, and the Back ground Information trade mark agency is stored into essential information the database of UDDI; Trade mark agency is given the trade mark agency of resource quality information with resource and quality information, and the trade mark agency of resource quality information is stored into the expanded data structure with resource and quality information, and with the database association of quality and resource information and UDDI.Service consumer is searched through inquiry proxy (Search Agent); For traditional information; Like keyword etc., use the Back ground Information inquiry proxy to inquire about, obtain the services set of congenerous after; Resource and quality inquiry proxy screen quality and resource constraint that service consumer provides with the services set that obtains, the services set that satisfies all conditions the most at last returns to the user.The quality information that the quality information authentication center provides the ISP is verified and is upgraded.

Characteristic of the present invention be quality information and the resource information with service be attached to cloud service registration and discovery procedure in; Make the UDDI model after the expansion can register and find the service under the cloud computing environment, comprise mainly in the spreading UDDI model system that module has: trade mark agency (Publish Agent), Back ground Information trade mark agency (UDDI_Pub agent); Resource quality information trade mark agency (R&QoS_Pub Agent); Inquiry proxy (Search Agent), Back ground Information inquiry proxy (UDDI_Search Agent), resource quality inquiry proxy (R&QoS_Pub Search Agent); Quality information authentication center (QoS Certifier) is seen accompanying drawing 1.The spreading UDDI model system is stored into database with essential information, quality information and the resource information of the cloud service that cloud provider provides through spreading UDDI.Trade mark agency is carried out registration process through the flow process of registration service, has wherein called Back ground Information trade mark agency and the trade mark agency of resource quality information.Service consumer is searched through inquiry proxy (Search Agent), and inquiry proxy is through calling the Back ground Information inquiry proxy and the resource quality inquiry proxy carries out querying flow.The quality information that its quality information authentication center provides the ISP is verified and is upgraded.

In this model system; Mainly be to define and use for the resource and the quality model of serving; Registration and search procedure that quality and the resource information of service is used to serve; Can improve the inquiry precision of service, can be fine for service consumer provides searching platform, reduce the required energy and time of consumer's service of searching.But this model does not relate to semantic query; When the identical services set of locating function; But some functions are identical explain different services will search for less than, well do not promote for the recall ratio of service, if in this model, add semantic query; To improve the recall ratio of service, the integration capability of model will be better.

Definition for quality model is following:

● the response time (Response Time): q _Res, promptly finish to carry out the time interval between the service from beginning to ask this to serve.Define as follows: q _Res=Avg (T ₁, T ₂, T ₃... T _N).

● availability (Availability): q _Ava, promptly call the service success rate, be defined as: q _Ava=N _Succ/ N; N _SuccIt is number of times successful in N time is called.

● credit worthiness (Reputation): called after q _Rep, this quality information mainly feeds back acquisition there from the service user, and user experience is divided into 5 etc. from high to low, is divided as giving by numeral 5 to 1 respectively, and the big more credit worthiness of numeral is high more.Add up nearly N time feedback credit worthiness then, calculate its mean value, defined formula is following:

Rep wherein _iBe the i time credit worthiness scoring, its span is [1,5].

● expense (Cost): promptly use the expense of the required payment of service, called after q _Cost

The definition of resource model is following:

● internal memory: under cloud environment, the memory size of the virtual machine that refers to provide.

● the computing unit number: under cloud environment, refer to the number of computing unit, there is different definition in different providers for computing unit.

● hard disk: under cloud environment, refer to provide the storage hard disk size of virtual machine.

When the matching degree of different quality information is calculated; Obtain the satisfaction of each different resource information; Then the satisfaction of different resource information is carried out weighting summation, the calculating of satisfaction and different satisfactions are carried out weighting to obtain the algorithm of last satisfaction following.

The account form of different satisfactions: (response time q wherein _Res, availability q _Ava, credit worthiness q _Rep, price q _Costr _ResThe response time that representative of consumer requires, r _AvaThe availability that representative of consumer requires, r _RepThe credit worthiness that representative of consumer requires, r _CostThe price that representative of consumer requires, d _ResRepresent response time satisfaction, the d of this service _AvaRepresent availability satisfaction, the d of this service _RepRepresent prestige satisfaction, the d of this service _CostRepresent the price satisfaction of this service)

$d_{\mathrm{res}}=\frac{r_{\mathrm{res}}-q_{\mathrm{res}}}{\max \left(Q_{\mathrm{res}}\right)}$

$d_{\mathrm{avs}}=\frac{q_{\mathrm{ava}}-r_{\mathrm{ava}}}{\max \left(Q_{\mathrm{ava}}\right)}$

$d_{\mathrm{rep}}=\frac{q_{\mathrm{rep}}-r_{\mathrm{rep}}}{\max \left(R_{\mathrm{rep}}\right)}$

$d_{\cos t}=\frac{r_{\cos t}-q_{\cos t}}{\max \left(R_{\cos t}\right)}$

Q wherein _xBe meant the set { q of x (when x equals res, represent the response time, represent availability when x equals ava, x is that rep equals to represent credit worthiness, representes price when x equals cost) type of quality information of candidate service _{X, 1}, q _{X, 2}Q _{X, m}; r _xThe information of the x class quality of demand when referring to the service consumer inquiry; q _xThe value that refers to the x class quality information of service.According to the top satisfaction that calculates, and combine service consumer to provide for these four quality information weights: (α, beta, gamma, δ, wherein alpha+beta+γ+δ=1) can obtain final service satisfaction d _sComputing formula:

d _s＝α×d _res+β×d _ava+γ×d _rep+δ×d _cost

D wherein _XThe satisfaction that refers to x (when x equals res, represent the response time, represent availability when x equals ava, x is that rep equals to represent credit worthiness, representes price when x equals cost) type quality information.Ordering is from high to low carried out in service according to the big young pathbreaker of final satisfaction is all, obtains a tabulation and offers the user.

Claims (1)

1. the building method of the UDDI extended model in the cloud computing environment; When cloud service provider registers, essential information, quality information and the resource information of service are registered in the UDDI model of expansion, trade mark agency receives these information; And these information are handled, treatment step comprises:

Step 1: obtain all log-on messages;

Step 2: the API that UDDI is called in trade mark agency comes registering functional information;

Step 3: judge whether to have filled in QoS information; If filled in then jump to step 4, otherwise jump to step 5;

Step 4: obtain QoS information; Jump to step 6;

Step 5: initial Q oS information is set;

Step 6: judge whether to have filled in RoS information; If filled in then jump to step 7, otherwise jump to step 8;

Step 7: obtain RoS information;

Step 8: the trade mark agency of resource quality information is called in trade mark agency;

Step 9: the quality and the resource information of resource quality information trade mark agency registration service;

Step 10: return result;

When the cloud service user inquires about, through essential information, quality information and the resource information of service, from the UDDI model of expansion, inquire about, inquiry proxy receives these information, and these information are handled, and treatment step comprises:

Step 1: obtain all Query Informations;

Step 2: inquiry proxy calls the Back ground Information inquiry proxy;

Step 3: the Back ground Information inquiry proxy calls the inquiry API of UDDI;

Step 4: find the service list that satisfies functional requirement;

Step 5: judge whether tabulation is empty, if then jump to step 15; If it is not empty then jump to step 6;

Step 6: obtain quality and resource constraint information;

Step 7: whether in tabulation have service do not calculate satisfaction, if having then execution in step 8 if judging; Otherwise jump to step 13;

Step 8: get a service of not calculating satisfaction;

Step 9: the quality and the resource information that obtain this service;

Step 10: judge whether to satisfy resource constraint,, otherwise jump to step 12 if satisfy then carry out step 11;

Step 11: calculate the satisfaction that satisfies qualitative restrain; Jump to step 7;

Step 12: in tabulation, remove and to serve, jump to step 7;

Step 13: all services are arranged according to the size of its satisfaction from big to small;

Step 14: return service list;

Step 15: returning prompting does not have the information on services that satisfies condition.

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