CN106203661A - Service reservation system based on cloud computing - Google Patents

Abstract

The invention discloses service reservation system based on cloud computing, including service subscription information input module, service reservation query module, service subscription information delivery module and cloud service module.Present invention achieves service reservation function, user is made on-the-spot to queue up, wherein service subscription information input module arranges related information and generate submodule, eliminating business reservation main information other related informations outer of taking off mourning clothes in service reservation list repeat fill in, accelerate the speed that affairs are handled, it is to avoid waste of time；Facilitate the user inquiry to service subscription information, be provided with, by the information searching submodule of user service-seeking request executing, improve the efficiency of service subscription information inquiry；Cloud service module is set, for providing the cloud service resource pool meeting demand with servicing subscription information input module, service reservation query module and service subscription information delivery module maximum benefit, reducing the cost of system.

Description

Service reservation system based on cloud computing

Technical field

The present invention relates to big data fields, be specifically related to service reservation system based on cloud computing.

Background technology

At present, when the general common people to bank or post office etc. handle affairs, from filling in list, queuing, identity validation are done to affairs Reason, must take a considerable amount of time, and the common people cannot learn again the wait number number of which bank or post office in advance so that the people Crowd efficient cannot settle affairs, and therefore, industry needs one efficiently to service reservation system easily.

Summary of the invention

For the problems referred to above, the present invention provides service reservation system based on cloud computing.

The purpose of the present invention realizes by the following technical solutions:

Service reservation system based on cloud computing, including:

(1) service subscription information input module, is used for providing user input main services subscription information and generating service Reservation list, it includes that the first operation interface, related information generate submodule and service reservation table list generates submodule, described the One operation interface is used for providing user to perform main services subscription information input action, and described related information generates submodule and uses In generating other related informations according to main services subscription information, described service reservation list generates submodule and is used for synthesizing mainly Service subscription information and other related informations, and then generate service reservation list；Described service reservation main information includes reservation The external service platforms title of identification card number, subscription time, service item and reservation；

(2) service reservation query module, for providing user to inquire about the associated subscription information of each external service platforms, bag Include and provide user to perform the second operation interface of service-seeking action, the information by user service-seeking request executing Search submodule and for storing the sub module stored of the associated subscription information of each external service platforms；Described associated subscription information The COS, position, the current service number that are provided that including each external service platforms and averagely need to wait for the time；Described After information searching submodule is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor destructuring equity A peer node in network,For local resource pond,For neighbor node resource information pond, i ∈ [1, n], n are equity The network packet sum containing node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jAt random The peer node picked out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jThe inquiry sent please Seek M_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, provide according to described data Source information and the positional information of data asset information place peer node, create the response message of inquiryAnd according to x_jPosition Confidence ceases, described response letter is opened,Return to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, abandon inquiry Request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, by inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree be (5,8], Span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module, it include the first transmission submodule and second transmission submodule, described first Transmission submodule is for passing, by the service reservation table patrilineal line of descent with only one son in each generation of user, the external service platforms that user is chosen, and described second passes Pass submodule for the associated subscription information of each external service platforms is delivered to described sub module stored；

(4) cloud service module, for service subscription information input module, service reservation query module and service reservation letter Breath delivery module maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule, credible group Close assessment submodule and service arrangement submodule；

Described mission planning submodule is for pre-to service subscription information input module, service reservation query module and service About information transfer module carries out the process of information processing and carries out mission planning, splits complicated information handling task to one group of merit Can single and independent subtask, and mate the cloud service resource pool meeting its demand for subtask, formed multiple suitably Cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule is for the multiple suitable cloud service group generated by mission planning submodule Conjunction scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submoduleCorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The invention have the benefit that

1, service subscription information input module, service reservation query module, service subscription information delivery module and cloud are set Service module, it is achieved service reservation function, makes user on-the-spot to queue up, and wherein arranges in service subscription information input module Related information generates submodule, eliminates the repetition of business reservation main information other related informations outer of taking off mourning clothes in service reservation list Fill in, accelerate the speed that affairs are handled, it is to avoid waste of time；

2, it is provided for providing the service reservation query mould of the associated subscription information of the user each external service platforms of inquiry Block, facilitates the user inquiry to service subscription information, is provided with by the letter of user service-seeking request executing Breath searches submodule, improves the efficiency of service subscription information inquiry；

3, cloud service module is set, for pre-to service subscription information input module, service reservation query module and service About information transfer module maximum benefitization ground provides the cloud service resource pool meeting demand, reduces the cost of system.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limit to the present invention System, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain according to the following drawings Other accompanying drawing.

Fig. 1 is the present invention each module connection diagram；

Fig. 2 is the workflow diagram that the present invention program assesses unit.

Reference:

Service subscription information input module 1, service reservation query module 2, service subscription information delivery module 3, cloud service Module 4, first operates interface 11, related information generates submodule 12, service reservation list generates submodule 13, second and operates boundary Face 21, information searching submodule 22, sub module stored 23, first are transmitted submodule 31, second and are transmitted submodule 32, mission planning Submodule 41, credible combined evaluation submodule 42, service arrangement submodule 43.

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment 1

See Fig. 1, Fig. 2, the service reservation system based on cloud computing of the present embodiment, including:

(1) service subscription information input module 1, is used for providing user input main services subscription information and generating service Preengaging list, it includes that the first operation interface 11, related information generate submodule 12 and service reservation table list generates submodule 13, Described first operation interface 11 is used for providing user to perform main services subscription information input action, and described related information generates Submodule 12 is for generating other related informations according to main services subscription information, and described service reservation list generates submodule 13 For synthesizing main services subscription information and other related informations, and then generate service reservation list；Described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation；

(2) service reservation query module 2, for providing user to inquire about the associated subscription information of each external service platforms, Including the second operation interface 21 providing user to perform service-seeking action, by user service-seeking request executing Information searching submodule 22 and for storing the sub module stored 23 of associated subscription information of each external service platforms；Described relevant Subscription information includes COS, position, current service number that each external service platforms is provided that and averagely needs to wait for Time；After described information searching submodule 22 is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor non- A peer node in structured p2p network,For local resource pond,For neighbor node resource information pond, i ∈ [1, N], n is the sum that peer-to-peer network comprises node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe peer node that random choose goes out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jSend out Inquiry request M sent_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, according to institute State data asset information and the positional information of data asset information place peer node, create the response message of inquiryAnd root According to x_jPositional information, by described response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, Abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, will Inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree For (5,8], the span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module 4, it includes the first transmission submodule 31 and the second transmission submodule 32, institute State the first transmission submodule 31 for passing the external service platforms that user is chosen, institute by the service reservation table patrilineal line of descent with only one son in each generation of user State the second transmission submodule 32 for the associated subscription information of each external service platforms is delivered to described sub module stored 23；

(4) cloud service module, for service subscription information input module 1, service reservation query module 2 and service reservation Information transfer module 4 maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule 41, can Letter combined evaluation submodule 42 and service arrangement submodule 43；

Described mission planning submodule 41 is for service subscription information input module 1, service reservation query module 2 kimonos Business subscription information delivery module 4 carries out the process of information processing and carries out mission planning, is split extremely by complicated information handling task One group of function singleness and independent subtask, and the cloud service resource pool of its demand is met for subtask coupling, formed multiple Suitably cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule 42 is for the multiple suitable cloud clothes generated by mission planning submodule 41 Business assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule 43 for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule 42 includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submodule 41CorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The present embodiment arranges service subscription information input module 1, service reservation query module 2, service subscription information transmission Module 4 and cloud service module, it is achieved service reservation function, make user on-the-spot to queue up, wherein the input of service subscription information Arranging related information generation submodule 12 in module 1, eliminating takes off mourning clothes in service reservation list is engaged in preengaging outside main information other The repeating of related information is filled in, accelerate the speed that affairs are handled, it is to avoid waste of time；Cloud service module is set, is used for To service subscription information input module 1, service reservation query module 2 and service subscription information delivery module 4 maximum benefitization ground The cloud service resource pool meeting demand is provided, reduces the cost of system；It is provided for providing user inquiry each outside clothes The service reservation query module 2 of the associated subscription information of business platform, facilitates the user inquiry to service subscription information, wherein Arrange by the information searching submodule 22 of user service-seeking request executing, improve the effect of service subscription information inquiry Rate, wherein the present embodiment value α=0.3, β=0.45, the efficiency of service subscription information inquiry improves 3.2%.

Embodiment 2

See Fig. 1, Fig. 2, the service reservation system based on cloud computing of the present embodiment, including:

(1) service subscription information input module 1, is used for providing user input main services subscription information and generating service Preengaging list, it includes that the first operation interface 11, related information generate submodule 12 and service reservation table list generates submodule 13, Described first operation interface 11 is used for providing user to perform main services subscription information input action, and described related information generates Submodule 12 is for generating other related informations according to main services subscription information, and described service reservation list generates submodule 13 For synthesizing main services subscription information and other related informations, and then generate service reservation list；Described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation；

(2) service reservation query module 2, for providing user to inquire about the associated subscription information of each external service platforms, Including the second operation interface 21 providing user to perform service-seeking action, by user service-seeking request executing Information searching submodule 22 and for storing the sub module stored 23 of associated subscription information of each external service platforms；Described relevant Subscription information includes COS, position, current service number that each external service platforms is provided that and averagely needs to wait for Time；After described information searching submodule 22 is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor non- A peer node in structured p2p network,For local resource pond,For neighbor node resource information pond, i ∈ [1, N], n is the sum that peer-to-peer network comprises node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe peer node that random choose goes out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jSend out Inquiry request M sent_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, basis Described data asset information and the positional information of data asset information place peer node, create the response message of inquiryAnd According to x_jPositional information, by described response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, By inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jValue model when network is leisurely and carefree Enclose for (5,8], the span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module 4, it includes the first transmission submodule 31 and the second transmission submodule 32, institute State the first transmission submodule 31 for passing the external service platforms that user is chosen, institute by the service reservation table patrilineal line of descent with only one son in each generation of user State the second transmission submodule 32 for the associated subscription information of each external service platforms is delivered to described sub module stored 23；

(4) cloud service module, for service subscription information input module 1, service reservation query module 2 and service reservation Information transfer module 4 maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule 41, can Letter combined evaluation submodule 42 and service arrangement submodule 43；

Described mission planning submodule 41 is for service subscription information input module 1, service reservation query module 2 kimonos Business subscription information delivery module 4 carries out the process of information processing and carries out mission planning, is split extremely by complicated information handling task One group of function singleness and independent subtask, and the cloud service resource pool of its demand is met for subtask coupling, formed multiple Suitably cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule 42 is for the multiple suitable cloud clothes generated by mission planning submodule 41 Business assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule 43 for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule 42 includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submodule 41CorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The present embodiment arranges service subscription information input module 1, service reservation query module 2, service subscription information transmission Module 4 and cloud service module, it is achieved service reservation function, make user on-the-spot to queue up, wherein the input of service subscription information Arranging related information generation submodule 12 in module 1, eliminating takes off mourning clothes in service reservation list is engaged in preengaging outside main information other The repeating of related information is filled in, accelerate the speed that affairs are handled, it is to avoid waste of time；Cloud service module is set, is used for To service subscription information input module 1, service reservation query module 2 and service subscription information delivery module 4 maximum benefitization ground The cloud service resource pool meeting demand is provided, reduces the cost of system；It is provided for providing user inquiry each outside clothes The service reservation query module 2 of the associated subscription information of business platform, facilitates the user inquiry to service subscription information, wherein Arrange by the information searching submodule 22 of user service-seeking request executing, improve the effect of service subscription information inquiry Rate, wherein the present embodiment value α=0.29, β=0.46, the efficiency of service subscription information inquiry improves 3%.

Embodiment 3

See Fig. 1, Fig. 2, the service reservation system based on cloud computing of the present embodiment, including:

(1) service subscription information input module 1, is used for providing user input main services subscription information and generating service Preengaging list, it includes that the first operation interface 11, related information generate submodule 12 and service reservation table list generates submodule 13, Described first operation interface 11 is used for providing user to perform main services subscription information input action, and described related information generates Submodule 12 is for generating other related informations according to main services subscription information, and described service reservation list generates submodule 13 For synthesizing main services subscription information and other related informations, and then generate service reservation list；Described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation；

(2) service reservation query module 2, for providing user to inquire about the associated subscription information of each external service platforms, Including the second operation interface 21 providing user to perform service-seeking action, by user service-seeking request executing Information searching submodule 22 and for storing the sub module stored 23 of associated subscription information of each external service platforms；Described relevant Subscription information includes COS, position, current service number that each external service platforms is provided that and averagely needs to wait for Time；After described information searching submodule 22 is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor non- A peer node in structured p2p network,For local resource pond,For neighbor node resource information pond, i ∈ [1, N], n is the sum that peer-to-peer network comprises node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe peer node that random choose goes out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jSend out Inquiry request M sent_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, according to institute State data asset information and the positional information of data asset information place peer node, create the response message of inquiryAnd root According to x_jPositional information, by described response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, Abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, will Inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree For (5,8], the span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module 4, it includes the first transmission submodule 31 and the second transmission submodule 32, institute State the first transmission submodule 31 for passing the external service platforms that user is chosen, institute by the service reservation table patrilineal line of descent with only one son in each generation of user State the second transmission submodule 32 for the associated subscription information of each external service platforms is delivered to described sub module stored 23；

(4) cloud service module, for service subscription information input module 1, service reservation query module 2 and service reservation Information transfer module 4 maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule 41, can Letter combined evaluation submodule 42 and service arrangement submodule 43；

Described mission planning submodule 41 is for service subscription information input module 1, service reservation query module 2 kimonos Business subscription information delivery module 4 carries out the process of information processing and carries out mission planning, is split extremely by complicated information handling task One group of function singleness and independent subtask, and the cloud service resource pool of its demand is met for subtask coupling, formed multiple Suitably cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule 42 is for the multiple suitable cloud clothes generated by mission planning submodule 41 Business assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule 43 for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule 42 includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submodule 41CorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The present embodiment arranges service subscription information input module 1, service reservation query module 2, service subscription information transmission Module 4 and cloud service module, it is achieved service reservation function, make user on-the-spot to queue up, wherein the input of service subscription information Arranging related information generation submodule 12 in module 1, eliminating takes off mourning clothes in service reservation list is engaged in preengaging outside main information other The repeating of related information is filled in, accelerate the speed that affairs are handled, it is to avoid waste of time；Cloud service module is set, is used for To service subscription information input module 1, service reservation query module 2 and service subscription information delivery module 4 maximum benefitization ground The cloud service resource pool meeting demand is provided, reduces the cost of system；It is provided for providing user inquiry each outside clothes The service reservation query module 2 of the associated subscription information of business platform, facilitates the user inquiry to service subscription information, wherein Arrange by the information searching submodule 22 of user service-seeking request executing, improve the effect of service subscription information inquiry Rate, wherein the present embodiment value α=0.28, β=0.47, the efficiency of service subscription information inquiry improves 2.8%.

Embodiment 4

See Fig. 1, Fig. 2, the service reservation system based on cloud computing of the present embodiment, including:

(1) service subscription information input module 1, is used for providing user input main services subscription information and generating service Preengaging list, it includes that the first operation interface 11, related information generate submodule 12 and service reservation table list generates submodule 13, Described first operation interface 11 is used for providing user to perform main services subscription information input action, and described related information generates Submodule 12 is for generating other related informations according to main services subscription information, and described service reservation list generates submodule 13 For synthesizing main services subscription information and other related informations, and then generate service reservation list；Described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation；

(2) service reservation query module 2, for providing user to inquire about the associated subscription information of each external service platforms, Including the second operation interface 21 providing user to perform service-seeking action, by user service-seeking request executing Information searching submodule 22 and for storing the sub module stored 23 of associated subscription information of each external service platforms；Described relevant Subscription information includes COS, position, current service number that each external service platforms is provided that and averagely needs to wait for Time；After described information searching submodule 22 is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor non- A peer node in structured p2p network,For local resource pond,For neighbor node resource information pond, i ∈ [1, N], n is the sum that peer-to-peer network comprises node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe peer node that random choose goes out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jSend out Inquiry request M sent_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, according to institute State data asset information and the positional information of data asset information place peer node, create the response message of inquiryAnd root According to x_jPositional information, by described response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, Abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, will Inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree For (5,8], the span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module 4, it includes the first transmission submodule 31 and the second transmission submodule 32, institute State the first transmission submodule 31 for passing the external service platforms that user is chosen, institute by the service reservation table patrilineal line of descent with only one son in each generation of user State the second transmission submodule 32 for the associated subscription information of each external service platforms is delivered to described sub module stored 23；

(4) cloud service module, for service subscription information input module 1, service reservation query module 2 and service reservation Information transfer module 4 maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule 41, can Letter combined evaluation submodule 42 and service arrangement submodule 43；

Described mission planning submodule 41 is for service subscription information input module 1, service reservation query module 2 kimonos Business subscription information delivery module 4 carries out the process of information processing and carries out mission planning, is split extremely by complicated information handling task One group of function singleness and independent subtask, and the cloud service resource pool of its demand is met for subtask coupling, formed multiple Suitably cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule 42 is for the multiple suitable cloud clothes generated by mission planning submodule 41 Business assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule 43 for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule 42 includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submodule 41CorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The present embodiment arranges service subscription information input module 1, service reservation query module 2, service subscription information transmission Module 4 and cloud service module, it is achieved service reservation function, make user on-the-spot to queue up, wherein the input of service subscription information Arranging related information generation submodule 12 in module 1, eliminating takes off mourning clothes in service reservation list is engaged in preengaging outside main information other The repeating of related information is filled in, accelerate the speed that affairs are handled, it is to avoid waste of time；Cloud service module is set, is used for To service subscription information input module 1, service reservation query module 2 and service subscription information delivery module 4 maximum benefitization ground The cloud service resource pool meeting demand is provided, reduces the cost of system；It is provided for providing user inquiry each outside clothes The service reservation query module 2 of the associated subscription information of business platform, facilitates the user inquiry to service subscription information, wherein Arrange by the information searching submodule 22 of user service-seeking request executing, improve the effect of service subscription information inquiry Rate, wherein the present embodiment value α=0.27, β=0.49, the efficiency of service subscription information inquiry improves 3.5%.

Embodiment 5

See Fig. 1, Fig. 2, the service reservation system based on cloud computing of the present embodiment, including:

(1) service subscription information input module 1, is used for providing user input main services subscription information and generating service Preengaging list, it includes that the first operation interface 11, related information generate submodule 12 and service reservation table list generates submodule 13, Described first operation interface 11 is used for providing user to perform main services subscription information input action, and described related information generates Submodule 12 is for generating other related informations according to main services subscription information, and described service reservation list generates submodule 13 For synthesizing main services subscription information and other related informations, and then generate service reservation list；Described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation；

(2) service reservation query module 2, for providing user to inquire about the associated subscription information of each external service platforms, Including the second operation interface 21 providing user to perform service-seeking action, by user service-seeking request executing Information searching submodule 22 and for storing the sub module stored 23 of associated subscription information of each external service platforms；Described relevant Subscription information includes COS, position, current service number that each external service platforms is provided that and averagely needs to wait for Time；After described information searching submodule 22 is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor non- A peer node in structured p2p network,For local resource pond,For neighbor node resource information pond, i ∈ [1, N], n is the sum that peer-to-peer network comprises node, initiates inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe peer node that random choose goes out integrates as p_j×{x_j1, x_j2... x_jm, j ∈ [1, n], when peer node x_iReceive x_jSend out Inquiry request M sent_jTime, checkWithIn whether contain and meet inquiry request M_jData asset information, if so, according to institute State data asset information and the positional information of data asset information place peer node, create the response message of inquiryAnd root According to x_jPositional information, by described response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, Abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1, x_j2... x_jmThe Q-value of each peer node in }, will Inquiry request M_jIt is transmitted to p_j×{x_j1, x_j2... x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree For (5,8], the span when network congestion be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents learning rate, β Represent congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Table Show p_j×{x_j1, x_j2... x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j× {x_j1, x_j2... x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] takes when x ＞ 0 Value is 1, and during x≤0, value is 0, and the span of α is [0.25,0.3], and the span of β is [0.45,0.5]；

(3) service subscription information delivery module 4, it includes the first transmission submodule 31 and the second transmission submodule 32, institute State the first transmission submodule 31 for passing the external service platforms that user is chosen, institute by the service reservation table patrilineal line of descent with only one son in each generation of user State the second transmission submodule 32 for the associated subscription information of each external service platforms is delivered to described sub module stored 23；

(4) cloud service module, for service subscription information input module 1, service reservation query module 2 and service reservation Information transfer module 4 maximum benefitization ground provides and meets the cloud service resource pool of demand, including mission planning submodule 41, can Letter combined evaluation submodule 42 and service arrangement submodule 43；

Described mission planning submodule 41 is for service subscription information input module 1, service reservation query module 2 kimonos Business subscription information delivery module 4 carries out the process of information processing and carries out mission planning, is split extremely by complicated information handling task One group of function singleness and independent subtask, and the cloud service resource pool of its demand is met for subtask coupling, formed multiple Suitably cloud service assembled scheme, to obtain the storage resource needed for information process or to calculate resource；

Described credible combined evaluation submodule 42 is for the multiple suitable cloud clothes generated by mission planning submodule 41 Business assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；

Described service arrangement submodule 43 for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Wherein, described credible combined evaluation submodule 42 includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, is carried out The modeling of utility function X of cloud service assembled scheme according to each parameter of utility function in application example initialization model, if The mission planning obtained by mission planning submodule 41CorrespondingIt is constrained to C={C₁, C₂.., C_d, each subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn every One service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service combination side formed Case is CS_γ,ω ∈ [1, m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d is Correspond toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent effectiveness letter in model The parameter of number；Each feasible cloud service assembled scheme is ranked up by order from small to large according to utility function value, Z before selecting Individual feasible cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and to often One group of preferred cloud service assembled scheme calculates the meansigma methods of its utility function value, and the meansigma methods selecting utility function value is maximum Preferably cloud service assembled scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that the utility function value of preferred cloud service assembled scheme and optimum cloud service Assembled scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, the most directly adjust Use its functional value.

The present embodiment arranges service subscription information input module 1, service reservation query module 2, service subscription information transmission Module 4 and cloud service module, it is achieved service reservation function, make user on-the-spot to queue up, wherein the input of service subscription information Arranging related information generation submodule 12 in module 1, eliminating takes off mourning clothes in service reservation list is engaged in preengaging outside main information other The repeating of related information is filled in, accelerate the speed that affairs are handled, it is to avoid waste of time；Cloud service module is set, is used for To service subscription information input module 1, service reservation query module 2 and service subscription information delivery module 4 maximum benefitization ground The cloud service resource pool meeting demand is provided, reduces the cost of system；It is provided for providing user inquiry each outside clothes The service reservation query module 2 of the associated subscription information of business platform, facilitates the user inquiry to service subscription information, wherein Arrange by the information searching submodule 22 of user service-seeking request executing, improve the effect of service subscription information inquiry Rate, wherein the present embodiment value α=0.25, β=0.5, the efficiency of service subscription information inquiry improves 3.6%.

Last it should be noted that, above example is only in order to illustrate technical scheme, rather than the present invention is protected Protecting the restriction of scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention Matter and scope.

Claims (6)

1. service reservation system based on cloud computing, it is characterised in that including:

(1) service subscription information input module, is used for providing user input main services subscription information and generating service reservation List, it includes that the first operation interface, related information generate submodule and service reservation table list generates submodule, described first behaviour Making interface for providing user to perform main services subscription information input action, described related information generates submodule for root Generating other related informations according to main services subscription information, described service reservation list generates submodule and is used for synthesizing main services Subscription information and other related informations, and then generate service reservation list；

(2) service reservation query module, for providing user to inquire about the associated subscription information of each external service platforms, including carrying The second operation interface of service-seeking action, the information searching by user service-seeking request executing is performed for user Submodule and for storing the sub module stored of associated subscription information of each external service platforms；

(3) service subscription information delivery module, it includes the first transmission submodule and the second transmission submodule, described first transmission Submodule for passing the external service platforms that user is chosen, described second transmission by the service reservation table patrilineal line of descent with only one son in each generation of user Module is for being delivered to described sub module stored by the associated subscription information of each external service platforms；

(4) cloud service module, for passing service subscription information input module, service reservation query module and service subscription information The cloud service resource pool meeting demand is provided with sending module maximum benefit.

Service reservation system based on cloud computing the most according to claim 1, it is characterised in that described service reservation is main Information includes subscription identity card number, subscription time, service item and the external service platforms title of reservation.

Service reservation system based on cloud computing the most according to claim 1, it is characterised in that described associated subscription information The COS, position, the current service number that are provided that including each external service platforms and averagely need to wait for the time.

Service reservation system based on cloud computing the most according to claim 1, it is characterised in that described information searching submodule After block is triggered by user service-seeking request, the concrete operations of execution are: set x_iFor one in Unstructured Peer-to-Peer Network Peer node,For local resource pond,For neighbor node resource information pond, i ∈ [1, n], n are that peer-to-peer network comprises node Sum, initiate inquiry request M_jNode be x_j, at x_jNeighbor node set according to Probability p_jThe equity that random choose goes out Set of node is p_j×{x_j1,x_j2,…x_jm, j ∈ [1, n], when peer node x_iReceive x_jInquiry request M sent_jTime, check WithIn whether contain and meet inquiry request M_jData asset information, if so, provide according to described data asset information and data The positional information of source information place peer node, creates the response message of inquiryAnd according to x_jPositional information, by described Response messageReturn to x_j, then by x_jVital values subtract 1, if x_jVital values be 0, abandon inquiry request M_jIf not, 0, use Q learning algorithm to calculate p_j×{x_j1,x_j2,…x_jmThe Q-value of each peer node in }, by inquiry request M_jIt is transmitted to p_j× {x_j1,x_j2,…x_jmThe node that in }, Q-value is maximum, Probability p_jSpan when network is leisurely and carefree be (5,8], when network congestion Span be [0,3)；

Set the computing formula of Q-value as:

$Q_{new}=Q_{old}+{\mathrm{\αQ}}_{learn}+\mathrm{\β}\×I\[\frac{N_{x_{j\mathrm{\μ}}}\left(t\right)(T_{x_{j\mathrm{\μ}}}-{T^{\′}}_{x_{j\mathrm{\μ}}})}{{T^{\′}}_{x_{j\mathrm{\μ}}}\×T_{x_{j\mathrm{\μ}}}}\]\×\frac{1+N_{x_{j\mathrm{\μ}}}\left(t\right)}{T_{x_{j\mathrm{\μ}}}}$

Wherein, Q_newRepresent the new value of Q, Q_oldRepresent the old value of Q, Q_learnRepresenting the value learnt, α represents that learning rate, β represent Congested factor,Represent moment t node x_jμBuffer queue in pending inquiry request message number,Represent p_j× {x_j1,x_j2,…x_jmNode x in }_jμProcess the time of an inquiry request message defined,Represent p_j×{x_j1,x_j2,… x_jmNode x in }_jμProcess the time that an inquiry request message is actually required；Function I [x] is at x > 0 time value be 1, x≤0 Time value be 0, the span of α is [0.25,0.3], and the span of β is [0.45,0.5].

Service reservation system based on cloud computing the most according to claim 1, it is characterised in that described cloud service module bag Include mission planning submodule, credible combined evaluation submodule and service arrangement submodule；Described mission planning submodule is for right Service subscription information input module, service reservation query module and service subscription information delivery module carry out the process of information processing Carry out mission planning, complicated information handling task is split to one group of function singleness and independent subtask, and is subtask Coupling meets the cloud service resource pool of its demand, forms multiple suitable cloud service assembled scheme, to obtain information processing The storage resource of Cheng Suoxu or calculating resource；Described credible combined evaluation submodule is for being generated by mission planning submodule Multiple suitable cloud service assembled scheme carries out scheme evaluation, selects the cloud service assembled scheme of optimum；Described service arrangement Module for completing the deployment of relevant cloud service according to optimum cloud service assembled scheme.

Service reservation system based on cloud computing the most according to claim 1, it is characterised in that described credible combined evaluation Submodule includes that scheme evaluation unit and assessment optimize unit；

Described scheme evaluation unit is according to cloud service resource pool SP_vWith corresponding service qualityHistorical record, carries out cloud clothes Business assembled scheme utility function X modeling and according to each parameter of utility function in application example initialization model, if by appoint The mission planning that business planning submodule obtainsCorrespondingIt is constrained to C={C₁,C₂,..,C_d, often Individual subtask G_vCorresponding cloud service resource pool SP_vTotal m_vIndividual service, for cloud service resource pool SP_vIn each Service SP_vω, it comprisesHistorical record number is L_vω, by SP_vγ the feasible cloud service assembled scheme formed is CS_γ,ω∈[1,m_v], Definition Model is:

Wherein,For kth dimensionMaximum,For kth dimensionMinima, d be corresponding toMaximum dimension, SP_vωR_hFor being under the jurisdiction of SP_vωOneHistorical record, x_vω-hRepresent the ginseng of utility function in model Number；Being ranked up each feasible cloud service assembled scheme by order from small to large according to utility function value, before selecting, Z is individual feasible Cloud service assembled scheme is set according to application example as preferred cloud service assembled scheme, the value of Z, and excellent to each group Selecting cloud service assembled scheme to calculate the meansigma methods of its utility function value, the meansigma methods selecting utility function value is maximum preferred cloud Services Composition scheme is as optimum cloud service assembled scheme；

Described assessment optimizes unit and is able to record that utility function value and the optimum cloud service combination of preferred cloud service assembled scheme Scheme, and learn as sample, if new preferred cloud service assembled scheme had occurred, then directly invoke it Functional value.