CN103281207B - Method for calculating decision-making system web service capability under SOA - Google Patents

Abstract

The invention discloses a method for calculating decision-making system web service capability under an SOA. Firstly, after receiving a decision task submitted by a user, a service capability evaluation module calculates goal-achieving capability value of the corresponding web service according to the number of goals and the goal importance degree both of which can be achieved by different decision web services. Secondly, time-achieving capability value of the web service is calculated according to the time of finishing decision making by the decision-making web service. Lastly, the cost-price capability value of the web service is calculated according to the cost needed for finishing the decision making task by the decision-making web service. By means of the method, the goal-achieving capability value, the time-achieving capability value and the cost-price capability value are achieved and are calculated in a weighting mode to obtain the web service capability. According to the method for calculating the decision making system web service capability under the SOA, in the network, a caller can automatically recognize the capability of the decision-making web service, the purpose that the capability of the decision-making web service under the network environment is calculated is achieved.

Description

A kind of computational methods of soa making policy decision system web service capability

Technical field

The present invention relates to computer network decision domain, more specifically, it is to be related to decision-making web in a kind of internet environment The capacity calculation method of service.

Background technology

DSS develops for many years, moves towards network cooperation decision-making from unit DSS at present.This Change and highlightedly show as, by network environment, the solving model of DSS being carried out shared collaboration, being complex task Solve and service.

Support in systems development process in network decision, Enterprise SOA (service oriented Architecture soa) it is an important solution.Soa promotes each function in implementation decision support system to determine Plan solving model is changed into web services form, is formed and has the independent software module calculating solution ability, by distributed, loose The mode dissipating coupling is deployed in different network decisions support system terminals.When implementing network decision, user can pass through These are had decision making function web services and are organized by certain mode, complete the decision-making of complex task by cooperation mode.

Single decision system is to the change of soa decisionmaking mode as shown in Figure 1, computer aided decision support system Basic procedure is: decision task-determine decision objective-trade-off decision solving model-implementation decision and solves.Prop up in single decision-making Hold in system, after decision task occurs, in its internal decision model storehouse, trade-off decision solves mould to DSS Type, these models are independent software modules, solve capacity operation according to its software.Under soa environment, DSS is put Take off the restriction of single DSS it is achieved that the decision-making solving model shared collaboration between multiple decision systems in network. In figure, is provided with the center service terminal through internet of service ability evaluation module with multiple with heterogeneous networks decision system Decision-making terminal realize two-way communication, the network decision system in each decision-making terminal all has respective decision-making web services storehouse.When After task is committed to the service ability evaluation module in center service terminal by user, by service ability evaluation module according to corresponding Principle of decision-making by above-mentioned have decision making function web services organized and completed user submission task.In order to meet network The basic demand of soa under environment, the decision-making solving model of these decision systems be converted into meet soa specification web services soft Part form, has standardized interface, it is possible to obtain effectively the calling of other decision systems.The decision-making clothes at each network decision end Business all by the assessment of service ability, can be selected and best suit the task person of needs, participative decision making as candidate.

In the present invention, the decision-making of these network decision systems solves the web services that software model is converted under soa, It is referred to as decision-making web services.

A key technology realizing the combination of decision-making web services is the capacity of water of these web services of accurate evaluation, judges It is if appropriate for certain specific decision-making.The merit rating of traditional web services depends on the handss such as interface satisfaction, goal satisfaction Section it is impossible to the performance of whole web services is carried out with comprehensive assessment, especially to time dimension, cost dimension capacity calculation more Lack.Therefore, network decision is badly in need of a kind of decision-making web service capability computational methods of composite type, can evaluate one with various dimensions The ability of individual service, the effect of lifting decision-making.

Content of the invention

For defect present in prior art, it is an object of the invention to provide a kind of soa making policy decision system web service energy The computational methods of power.

For reaching above-mentioned purpose, the present invention adopts the following technical scheme that:

A kind of computational methods of soa making policy decision system web service capability, the concretely comprising the following steps of this computational methods:

A. service ability evaluation module can be real according to different decision-making web services after receiving the decision task that user submits to What existing destination number and the target significance level enabling were calculated corresponding web services realizes target power value；

B. realize time energy according to what the Time Calculation that decision-making web services can complete decision task obtained this web services Force value；

C. it is calculated the one-tenth of this web services according to the cost penalty values that decision-making web services complete required for decision task This cost ability value；

D. pass through the cost price realizing time capacity value and step c realizing target power value, step b of step a Ability value, weighted calculation obtains decision-making web service capability；

The decision task that user in step a submits to is: task=(task_goal, task_time, task_cost), its In:

task_goal=(tg₁,tg₂...) and for decision task sub-goal set；

task_time=(max_time,best_time(tg₁),best_time(tg₂) ...) it is each decision-making sub-goal Corresponding time requirement set；

task_cost=(max_cost,best_cost(tg₁),best_cost(tg₂) ...) it is each decision-making sub-goal The cost set that can undertake；

Decision task sub-goal set task_goal=(tg₁,tg₂...) and each of specific item be labeled as tg_i(under be designated as I-th sub-goal), this sub-goal correspondence has an optimal expectation time best_time allowing to complete this sub-goal (tg_i), the corresponding optimum cost expected of this sub-goal is best_cost (tg_i)；Meanwhile, max_time refers to that decision task specifies Complete decision-making maximum allowable time total amount；Max_cost refer to decision task regulation to complete the maximum allowable cost of decision-making total Amount；

Decision-making web services in step a are designated as being represented as d, and the ability that it has is designated as d=(d_goal, d_time, d_ Cost), wherein d_goal=(dg₁,dg₂...) and the sub-goal set that is capable of for decision-making web services；d_time=(d_time (dg₁),d_time(dg₂) ...) it is that each decision-making sub-goal realizes required time requirement set；d_cost=(d_cost (dg₁),d_cost(dg₂) ...) it is that each decision-making sub-goal realizes required cost set；

In described decision task, decision-making web services realize sub-goal set d_goal=(dg₁,dg₂Each of ...) Specific item is labeled as dg_j(under be designated as j-th sub-goal, value is positive integer), this sub-goal correspondence has needs and completes this Time d_time (the dg of sub-goal_j), this sub-goal complete in requisition for cost be d_cost (dg_j).

The concretely comprising the following steps of described step a:

Assume there is target x and target y, then adaptation function n (x) → y of equal value refers to that x with y is identical；Described of equal value Join function for defining the pass of equal value between the sub-goal that calculating decision-making web services are capable of and the sub-goal of decision task System；If a dg_jWith a tg_iOf equal value, then to be just designated as n (dg_j)→tg_iIt is meant that tg_iCan be by the dg of decision-making web services_j Complete；

The target power value of realizing of decision-making web services d is designated as score_goal, and value is the real number between 0-1；According to two Individual standard extended target assessment: the destination number enabling and the target significance level enabling；

For decision task subclass task_goal=(tg₁,tg₂...) and each of tg_i(under be designated as i-th target) For, the weight that it has is designated as w (tg_i) (w (tg_i) span be 0-1 real number), and all targets tg_iWeight full Sufficient conditionThe target capability of realizing of so this decision-making web services may be calculated:

$\mathrm{score}\_\mathrm{goal}\left(d\right)=\left\{\begin{array}{cc}\underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×{\left(\frac{m}{n}\right)}^{(1-\frac{1}{m})}& m\&greaterequal;2\\ \underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×\frac{1}{n}& m=1\end{array}\right.$

In above formula, n is the quantity of all targets included in decision task subclass task_goal, and m is decision-making web clothes N (dg is met in the sub-goal set d_goal that business is capable of_j)→tg_iDg_jQuantity.

The concretely comprising the following steps of described step b:

Realize time capacity and represent whether decision-making web services d can complete decision-making in the time that decision task specifies.Shorter The response of decision-making deadline, the time capacity value of acquisition is higher.It is total that what decision task specified completes decision-making maximum allowable time It is arithmetic number type that amount is designated as max_time(value, represents clock periodicity measurer), for each decision-making subtask tg_iExpect Optimal finish time amount is best_time (tg_i) (value is arithmetic number type, represents clock periodicity measurer).Decision-making web services d Fulfillment capability value be designated as score_time (d).

Decision-making web services d is to each sub-goal dg_jThe decision-making time that can reach consume as d_time (dg_j).False If sub-goal dg_jWith a tg_i, that is, there is n (dg in equivalence_j)→tg_i, then d_time (dg_j) it is designated as d_time (tg_i).So d Time fulfillment capability value may be calculated:

$\mathrm{score}\_\mathrm{time}\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\mathrm{\σ}}}d\_\mathrm{time}{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\mathrm{\σ}}}\mathrm{match}(d\_\mathrm{time}\left({\mathrm{tg}}_i\right))}{\max \_\mathrm{time}})$

In above formula, η (η ∈ [0,1]) is factor of influence；N is the number of all targets included in set task_goal Amount, m refers to that d can meet the sub-goal quantity of task；match(d_time(tg_i)) it is an adaptation function, for calculating d_ time(tg_i) and expect best_time (tg_i) between matching degree, this function is calculated as follows:

The concretely comprising the following steps of described step c:

Whether the cost price ability value of decision-making web services d judges price required for decision service for the content beyond certainly The scope that plan task is allowed, the ability value that lower price obtains is higher；Assume the maximum cost that decision task can allow for Being designated as max_cost(span is arithmetic number), for each decision-making subtask tg_iThe optimum cost expected is best_ cost(tg_i) (value is arithmetic number).Decision-making web services d is to each sub-goal tg_iRequired cost is d_cost (tg_i), the fulfillment capability value of decision-making web services d is designated as score_cost (d), may be calculated:

$\mathrm{score}\_\cos t\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\mathrm{\σ}}}d\_\cos t{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\mathrm{\σ}}}\mathrm{over}(d\_\cos t\left({\mathrm{tg}}_i\right))}{\max \_\cos t})$

In above formula, η (η ∈ [0,1]) is factor of influence, and n is the number of all targets included in set task_goal Amount, m refers to that d can meet the sub-goal quantity of task；over(d_cost(tg_i)) it is premium function, it is calculated as follows:

The concretely comprising the following steps of described step d:

The whole capability assessed value of decision-making web services d is designated as capacity (d), is calculated as follows:

capacity(d)=σ₁×score_goal(d)+σ₂×score_time(d)+σ₃× score_cost (d),

Wherein σ_k(k=1,2,3) are weighted value (value are the real number of 0-1), and meet the constraint condition $\underset{k=1}{\overset{3}{\mathrm{\σ}}}{\mathrm{\σ}}_k=1.$

Compared with prior art, a kind of calculating side of soa making policy decision system web service capability is proposed using the present invention Method, can make decision-making web services in the Internet obtain the automatic identification to its ability for the caller, realize in a kind of internet environment The capacity calculation of decision-making web services, from this decision-making web services realize target capability, realize time capacity and cost price Three dimensions of ability, realize whole capability value and calculate.

Brief description

Fig. 1 is that unit DSS of the prior art supports the differentiation schematic diagram of system to network decision；

Fig. 2 is a kind of flow chart of the computational methods of soa making policy decision system web service capability of the present invention.

Specific embodiment

Below in conjunction with the accompanying drawings and embodiment further illustrates technical scheme.

The process of decision-making is aiming at decision task, finds decision-making web services and is solved, the model allowing in decision task Desired target is reached in enclosing.

The present invention is defined to decision task and decision-making web services first:

Define 1 decision task.Decision task refer to decision system need solve problem, comprise needs realize target, The time range allowing and the cost that can undertake.

Decision task is represented as task=(task_goal, task_time, task_cost), wherein task_goal= (tg₁,tg₂...) and for decision task sub-goal set；task_time=(max_time,best_time(tg₁),best_ time(tg₂) ...) it is each time requirement set corresponding to decision-making sub-goal；task_cost=(max_cost,best_ cost(tg₁),best_cost(tg₂) ...) it is the cost set that each decision-making sub-goal can undertake.

In the description of above-mentioned decision task, decision task sub-goal set task_goal=(tg₁,tg₂Each of ...) Specific item is labeled as tg_i(under be designated as i-th sub-goal), this sub-goal correspondence has an optimal period allowing to complete this sub-goal Treat time best_time (tg_i), the corresponding optimum cost expected of this sub-goal is best_cost (tg_i)；Meanwhile, max_time Refer to decision task regulation completes decision-making maximum allowable time total amount；Max_cost refer to decision task regulation complete decision-making Maximum allowable cost total amount.

Define 2 decision-making web services.Decision-making web services refer to be capable of the software model of decision task solution, comprise energy The target enough reached, reach the time required for target and reach the price required for target.

Decision-making web services are designated as being represented as d, and the ability that it has is designated as d=(d_goal, d_time, d_cost), its Middle d_goal=(dg₁,dg₂...) and the sub-goal set that is capable of for decision-making web services；d_time=(d_time(dg₁),d_ time(dg₂) ...) it is that each decision-making sub-goal realizes required time requirement set；d_cost=(d_cost(dg₁),d_ cost(dg₂) ...) it is that each decision-making sub-goal realizes required cost set.

In the description of above-mentioned decision task, decision-making web services realize sub-goal set d_goal=(dg₁,dg₂...) and in every One sub-goal is designated as dg_j(under be designated as j-th sub-goal, value is positive integer), to have needs complete for this sub-goal correspondence Become the time d_time (dg of this sub-goal_j), this sub-goal complete in requisition for cost be d_cost (dg_j).

Below, the computational methods that the present invention carries out decision-making web service capability evaluation are given:

A kind of computational methods of soa making policy decision system web service capability, the concrete steps of this computational methods are divided into:

A. service ability evaluation module can be real according to different decision-making web services after receiving the decision task that user submits to What existing destination number and the target significance level enabling were calculated corresponding web services realizes target power value；

B. realize time energy according to what the Time Calculation that decision-making web services can complete decision task obtained this web services Force value；

C. it is calculated the one-tenth of this web services according to the cost penalty values that decision-making web services complete required for decision task This cost ability value；

D. pass through the cost price realizing time capacity value and step c realizing target power value, step b of step a Ability value, weighted calculation obtains decision-making web service capability；

Traditional services performance evaluation mostly to realize the quantity of task object as foundation, it is presently believed that except realizing mesh Outside mark quantity, realize required by task time to be spent and cost, be all very important.Therefore, compared to traditional services Performance evaluation, the present invention is more comprehensive.

(1) target power value of realizing of decision-making web services calculates

Realize decision task target capability and calculate to be intended to evaluate decision-making web services d to complete decision-making in much degree and appointing Business.The present invention is according to two standard extended target assessments: the destination number enabling and the target significance level enabling.For This, we be given first a kind of equivalence adaptation function definition:

If defining 3 there is target x and target y, adaptation function n (x) → y of equal value refers to that x with y is identical.

This adaptation function of equal value is for defining the specific item of the sub-goal that calculating decision-making web services are capable of and decision task Equivalence relation between mark.If a dg_jWith a tg_iOf equal value, then to be just designated as n (dg_j)→tg_iIt is meant that tg_iCan be determined The dg of plan web services_jComplete.

Decision-making web services are designated as d, and its achieved decision objective set is designated as d_goal=(dg₁,dg₂...), each dg_j(subscript j is natural number, represents j-th sub-goal) sub-goal achieved by d.Decision-making web services d realizes target Ability value is designated as score_goal, and value is the real number between 0-1.According to two standard extended target assessments: the mesh enabling Mark quantity and the target significance level enabling.

Assume there is decision task set task_goal=(tg₁,tg₂,...).For each tg_i(under be designated as i-th Target) for, the weight that it has is designated as w (tg_i) (w (tg_i) span be 0-1 real number), and all targets tg_i's Weight meets conditionThe target capability of realizing of so this decision-making web services may be calculated:

$\mathrm{score}\_\mathrm{goal}\left(d\right)=\left\{\begin{array}{cc}\underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×{\left(\frac{m}{n}\right)}^{(1-\frac{1}{m})}& m\&greaterequal;2\\ \underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×\frac{1}{n}& m=1\end{array}\right.---\left(1\right)$

In above-mentioned formula 1, n is the quantity of all targets included in set task_goal, and m is to meet n in set d_goal (dg_j)→tg_iDg_jQuantity.

(2) the time capacity value of realizing of decision-making web services calculates

Realize time capacity and represent whether decision-making web services d can complete decision-making in the time that decision task specifies.Shorter The response of decision-making deadline, the time capacity value of acquisition is higher.It is total that what decision task specified completes decision-making maximum allowable time It is arithmetic number type that amount is designated as max_time(value, represents clock periodicity measurer), for each decision-making subtask tg_iExpect Optimal finish time amount is best_time (tg_i) (value is arithmetic number type, represents clock periodicity measurer).Decision-making web services d Fulfillment capability value be designated as score_time (d).

Decision-making web services d is to each sub-goal dg_jThe decision-making time that can reach consume as d_time (dg_j).False If sub-goal dg_jWith a tg_i, that is, there is n (dg in equivalence_j)→tg_i, then d_time (dg_j) it is designated as d_time (tg_i).So d Time fulfillment capability value may be calculated:

$\mathrm{score}\_\mathrm{time}\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\mathrm{\σ}}}d\_\mathrm{time}{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\mathrm{\σ}}}\mathrm{match}(d\_\mathrm{time}\left({\mathrm{tg}}_i\right))}{\max \_\mathrm{time}})---\left(2\right)$

In above-mentioned formula 2, η (η ∈ [0,1]) is factor of influence；N is all targets included in set task_goal Quantity, m refers to that d can meet the sub-goal quantity of task；match(d_time(tg_i)) it is an adaptation function, for calculating d_ time(tg_i) and expect best_time (tg_i) between matching degree, this function is calculated as follows:

(3) the cost price ability value of decision-making web services calculates

Whether the d cost price ability value of decision-making web services judges price required for decision service for the content beyond certainly The scope that plan task is allowed.The ability value that lower price obtains is higher.Assume the maximum cost that decision task can allow for Being designated as max_cost(span is arithmetic number), for each decision-making subtask tg_iThe optimum cost expected is best_ cost(tg_i) (value is arithmetic number).Decision-making web services d is to each sub-goal tg_iRequired cost is d_cost (tg_i), the fulfillment capability value of decision-making web services d is designated as score_cost (d), may be calculated:

$\mathrm{score}\_\cos t\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\mathrm{\σ}}}d\_\cos t{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\mathrm{\σ}}}\mathrm{over}(d\_\cos t\left({\mathrm{tg}}_i\right))}{\max \_\cos t})---\left(4\right)$

Here η is identical with the parameter in formula 2, and n is the quantity of all targets included in set task_goal, and m refers to D can meet the sub-goal quantity of task；We are same over (d_cost (tg_i)) it is premium function, it is calculated as follows:

(4) the whole capability value of decision-making web services calculates

Realizing target capability, realizing time capacity and cost price ability value according to decision-making web services d, decision-making web takes The whole capability assessed value of business d is designated as capacity (d), is calculated as follows:

capacity(d)=σ₁×score_goal(d)+σ₂×score_time(d)+σ₃×score_cost(d) (6)

σ in equation 6 above_k(k=1,2,3) are weighted value (value are the real number of 0-1), and meet the constraint condition

Embodiment:

We illustrate following example explanation time prediction and price evaluation calculates.Assume there is a decision task task =(task_goal, task_time, task_cost), wherein:

$\left\{\begin{array}{c}\mathrm{task}\_\mathrm{goal}=({\mathrm{tg}}_1,{\mathrm{tg}}_2,{\mathrm{tg}}_3)\\ \mathrm{best}\_\mathrm{time}\left({\mathrm{tg}}_1\right)=4,\mathrm{best}\_\mathrm{time}\left({\mathrm{tg}}_2\right)=7,\mathrm{best}\_\mathrm{time}\left({\mathrm{tg}}_3\right)=6,\max \_\mathrm{time}=20\\ \mathrm{best}\_\cos t\left({\mathrm{tg}}_1\right)=10,\mathrm{best}\_\cos t\left({\mathrm{tg}}_2\right)=10,\mathrm{best}\_\cos t\left({\mathrm{tg}}_3\right)=15,\max \_\cos t=50\end{array}\right.,$

There are two decision-making web services d1 and d2 as candidate service, they are derived from two different decision systems, phase simultaneously Close under performance:

$d1:\left\{\begin{array}{c}d\_\mathrm{goal}=({\mathrm{tg}}_1,{\mathrm{tg}}_2,{\mathrm{tg}}_3)\\ d\_\mathrm{time}\left({\mathrm{tg}}_1\right)=4,d\_\mathrm{time}\left({\mathrm{tg}}_2\right)=5,d\_\mathrm{time}\left({\mathrm{tg}}_3\right)=8\\ d\_\cos t\left({\mathrm{tg}}_1\right)=13,d\_\cos t\left({\mathrm{tg}}_2\right)=8,d\_\cos t\left({\mathrm{tg}}_3\right)=20\end{array}\right.$

$d2:\left\{\begin{array}{c}d\_\mathrm{goal}=({\mathrm{tg}}_1,{\mathrm{tg}}_3)\\ d\_\mathrm{time}\left({\mathrm{tg}}_1\right)=3,d\_\mathrm{time}\left({\mathrm{tg}}_3\right)=7\\ d\_\cos t\left({\mathrm{tg}}_1\right)=12,d\_\cos t\left({\mathrm{tg}}_3\right)=13\end{array}\right.$

Design parameter situation is as shown in table 1:

Table 1

Corresponding value of calculation can be obtained according to above-mentioned parameter value as follows:

$d1:\left\{\begin{array}{c}\mathrm{score}\_\mathrm{goal}\left(d1\right)=(0.5+0.2+0.3)\×{\left(\frac{3}{3}\right)}^{1-\frac{1}{3}}=1\\ \mathrm{score}\_\mathrm{time}\left(d1\right)=1\×(1-\frac{{(4+5+5)}^{0.7}+(0+0+2)}{20})=0.58\\ \mathrm{score}\_\cos t\left(d1\right)=1\×(1-\frac{{(13+8+20)}^{0.7}+(3+0+5)}{50})=0.57\\ \mathrm{capacity}\left(d1\right)=\frac{1}{3}\×(1+0.58+0.57)=0.72\end{array}\right.$

$d2:\left\{\begin{array}{c}\mathrm{score}\_\mathrm{goal}\left(d2\right)=(0.5+0.3)\×{\left(\frac{2}{3}\right)}^{1-\frac{1}{2}}=0.65\\ \mathrm{score}\_\mathrm{time}\left(d2\right)=\frac{2}{3}\×(1-\frac{{(3+7)}^{0.7}+(0+1)}{20})=0.46\\ \mathrm{score}\_\cos t\left(d2\right)=\frac{2}{3}\×(1-\frac{{(12+13)}^{0.7}(2+0)}{50})=0.51\\ \mathrm{capacity}\left(d2\right)=\frac{1}{3}\×(0.65+0.46+0.51)=0.54\end{array}\right.$

In instances, the service ability evaluation module in center service terminal is commented according to the ability of calculated d1 and d2 Valuation, the option program of decision-making web services can (such as ability value be high preferential, but this rule can be by having by certain rule The user that body implements the task submission of selection independently determines), determine to select the decision-making web services meeting mission requirements, thus Execution decision task solves.Examples detailed above can be particularly applicable in the functional assessment to network difference decision-making terminal, thus being one When individual complex task selects different decision-making terminals when solving, required performance analysis provides help.

Those of ordinary skill in the art is it should be appreciated that above embodiment is intended merely to illustrate the present invention's Purpose, and it is not used as limitation of the invention, the change as long as in the essential scope of the present invention, to embodiment described above Change, modification all will fall in the range of the claim of the present invention.

Claims (1)

1. a kind of computational methods of soa making policy decision system web service capability it is characterised in that: the concrete steps of this computational methods For:

A. service ability evaluation module enables according to different decision-making web services after receiving the decision task that user submits to What destination number and the target significance level enabling were calculated corresponding web services realizes target power value；

B. realize time capacity value according to what the Time Calculation that decision-making web services can complete decision task obtained this web services；

C. it is calculated the cost generation of this web services according to the cost penalty values that decision-making web services complete required for decision task Valency ability value；

D. pass through the cost price ability realizing time capacity value and step c realizing target power value, step b of step a Value, weighted calculation obtains decision-making web service capability；

The decision task that user in step a submits to is: task=(task_goal, task_time, task_cost), wherein:

Task_goal=(tg₁,tg₂...) and for decision task sub-goal set；

Task_time=(max_time, best_time (tg₁),best_time(tg₂) ...) for each decision-making sub-goal institute Corresponding time requirement set；

Task_cost=(max_cost, best_cost (tg₁),best_cost(tg₂) ...) for each decision-making sub-goal institute The cost set that can undertake；

Decision task sub-goal set task_goal=(tg₁,tg₂...) and each of specific item be labeled as tg_i, its subscript i is I-th sub-goal, this sub-goal correspondence has an optimal expectation time best_time (tg allowing to complete this sub-goal_i), The corresponding optimum cost expected of this sub-goal is best_cost (tg_i)；Meanwhile, max_time refers to the complete of decision task regulation Become decision-making maximum allowable time total amount；Max_cost refer to decision task regulation complete decision-making maximum allowable cost total amount；

Decision-making web services in step a are designated as being represented as d, and the ability that it has is designated as d=(d_goal, d_time, d_ Cost), wherein d_goal=(dg₁,dg₂...) and the sub-goal set that is capable of for decision-making web services；D_time=(d_ time(dg₁),d_time(dg₂) ...) it is that each decision-making sub-goal realizes required time requirement set；D_cost=(d_ cost(dg₁),d_cost(dg₂) ...) it is that each decision-making sub-goal realizes required cost set；

In described decision task, decision-making web services realize sub-goal set d_goal=(dg₁,dg₂...) and each of son Target is designated as dg_j, its subscript j is j-th sub-goal, and value is positive integer, and this sub-goal correspondence has needs and completes this Time d_time (the dg of sub-goal_j), this sub-goal complete in requisition for cost be d_cost (dg_j),

The concretely comprising the following steps of described step a:

Assume there is target x and target y, then adaptation function n (x) → y of equal value refers to that x with y is identical；Described coupling letter of equal value Number is for defining the equivalence relation between the sub-goal that calculating decision-making web services are capable of and the sub-goal of decision task；If One dg_jWith a tg_iOf equal value, then to be just designated as n (dg_j)→tg_iIt is meant that tg_iCan be by the dg of decision-making web services_jComplete；

The target power value of realizing of decision-making web services d is designated as score_goal, and value is the real number between 0-1；According to two marks Quasi- extended target assessment: the destination number enabling and the target significance level enabling；

For decision task subclass task_goal=(tg₁,tg₂...) and each of tg_i, its subscript i is for i-th target Speech, the weight that it has is designated as w (tg_i), w (tg_i) span be 0-1 real number, and all targets tg_iWeight meet ConditionThe target capability of realizing of so this decision-making web services is calculated as:

$score\_goal\left(d\right)=\left\{\begin{array}{cc}\underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×{\left(\frac{m}{n}\right)}^{(1-\frac{1}{m})}& m\&greaterequal;2\\ \underset{n\left({\mathrm{dg}}_j\right)\→{\mathrm{tg}}_i}{\mathrm{\σ}}w\left({\mathrm{tg}}_i\right)\×\frac{1}{n}& m=1\end{array}\right.$

In above formula, n is the quantity of all targets included in decision task subclass task_goal, and m is decision-making web services energy N (dg is met in enough sub-goal set d_goal realizing_j)→tg_iDg_jQuantity,

The concretely comprising the following steps of described step b:

Realize time capacity and represent whether decision-making web services d can complete decision-making in the time that decision task specifies, shorter determines The plan deadline responds, and the time capacity value of acquisition is higher, and the decision-making maximum allowable time total amount that completes of decision task regulation is remembered For max_time, max_time value is arithmetic number type, represents clock periodicity measurer；For each decision-making subtask tg_iPhase The optimal finish time amount treated is best_time (tg_i), best_time (tg_i) value be arithmetic number type, represent clock periodicity Amount；The fulfillment capability value of decision-making web services d is designated as score_time (d),

Decision-making web services d is to each sub-goal dg_jThe decision-making time that can reach consume as d_time (dg_j) it is assumed that son Target dg_jWith a tg_i, that is, there is n (dg in equivalence_j)→tg_i, then d_time (dg_j) it is designated as d_time (tg_i), then d when Between fulfillment capability value be calculated as:

$score\_time\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\σ}}d\_time{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\σ}}match(d\_time({\mathrm{tg}}_i\left)\right)}{\max \_time})$

In above formula, η ∈ [0,1], η are factors of influence；N is the quantity of all targets included in set task_goal, and m is Refer to the sub-goal quantity that d can meet task；match(d_time(tg_i)) it is an adaptation function, for calculating d_time (tg_i) With the best_time (tg expecting_i) between matching degree, this function is calculated as follows:

The concretely comprising the following steps of described step c:

The cost price ability value of decision-making web services d judges whether price required for decision service for the content appoints beyond decision-making The allowed scope of business, the ability value that lower price obtains is higher；Assume that the maximum cost that decision task can allow for is designated as Max_cost, max_cost span is arithmetic number, for each decision-making subtask tg_iExpect optimum cost be best_cost(tg_i), best_cost (tg_i) value be arithmetic number, decision-making web services d is to each sub-goal tg_iRequired Cost be d_cost (tg_i), the fulfillment capability value of decision-making web services d is designated as score_cost (d), is calculated as:

$score\_\cos t\left(d\right)=\frac{m}{n}\×(1-\frac{\underset{i=1}{\overset{m}{\σ}}d\_\cos t{\left({\mathrm{tg}}_i\right)}^{\mathrm{\η}}+\underset{i=1}{\overset{m}{\σ}}over(d\_\cos t({\mathrm{tg}}_i\left)\right)}{\max \_cost})$

In above formula, η ∈ [0,1], η are factors of influence, and n is the quantity of all targets included in set task_goal, and m is Refer to the sub-goal quantity that d can meet task；over(d_cost(tg_i)) it is premium function, it is calculated as follows:

The concretely comprising the following steps of described step d:

The whole capability assessed value of decision-making web services d is designated as capacity (d), is calculated as follows:

Capacity (d)=σ₁×score_goal(d)+σ₂×score_time(d)+σ₃× score_cost (d),

Wherein, σ_kIt is weighted value, value is the real number of 0-1, its subscript k=1,2,3, and meet the constraint condition