CN110443430A - A kind of service quality prediction technique based on block chain - Google Patents
A kind of service quality prediction technique based on block chain Download PDFInfo
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Abstract
The invention discloses a kind of service quality prediction techniques based on block chain, it by block chain forecasting system is that each trusted users establish block chain account, each block chain Account History user identifier of one trusted users multiple service quality values corresponding with the trusted users；When a user needs to add the service quality value of new demand servicing on block, pass through the ballot based on Byzantium's volume common recognition algorithm, it is determined whether addition.Finally again according to each trusted users in block chain forecasting system to the service quality value of each service commitment, the service quality observation matrix at current time is constructed, service quality is predicted by service quality observation matrix.The interference that unreliable user predicts service quality can be completely eliminated using technical solution of the present invention, to improve the accuracy of service quality prediction.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of service quality prediction techniques based on block chain.
Background technique
With the increase of the development and application of network service, how most suitable service is selected to expire from a large amount of service
The demand of sufficient user just becomes the critical issue for needing to solve.Many researchers think that user is when selecting service, no
The functional requirement of user is only considered, it is also contemplated that the non-functional index that service provides, i.e. service quality (QoS).Service quality
It is one group of nonfunctional space, such as availability, response time, execution time and handling capacity.From the perspective of server, service
Qualitative attribute is independently of user's, because identical attribute value is presented to all users in the service quality of server end, such as
Price, points for attention and availability etc..From the perspective of user, quality of service attribute is category related to user, different
Property value is presented to different users, such as response time, handling capacity.The quality of service attribute of this user terminal can only be in user's tune
It is measured when being serviced with network, these attributes are known as personalized service qualitative attribute.Therefore, when user construct it is service-oriented
When application system, the service for selecting that there is best personalized service quality is needed.
Conventionally, as user can not call one by one all-network service to obtain theirs before filtration
Quality of service attribute, so going prediction active user to access using the history service quality value for the other users for having called the service
The service quality value that will generate when this service, collaborative filtering, project-based collaborative filtering such as based on user, when being based on
Between and position the technical solutions such as prediction model.It but is to guarantee that user submits using the premise of these technical solutions
The evaluation information of service quality value is true and reliable, and in fact, some users may deliberately reduce back services value
In other service quality evaluation, to improve the utilization rate of their service provided.As it can be seen that above method all cannot be completely eliminated
Influence of the unreliable user when carrying out service quality prediction in turn results in the misleading for selecting user service.
Summary of the invention
The embodiment of the present invention proposes a kind of service quality prediction technique based on block chain, can completely eliminate unreliable user
Influence when carrying out service quality prediction improves predictablity rate.
The embodiment of the present invention provides a kind of service quality prediction technique based on block chain, comprising: receives the first user hair
That send is used to be added the transactions requests of block chain forecasting system；Wherein, the block chain forecasting system includes several block chains
Account, and each block chain Account History user identifier of one trusted users multiple Service Qualities corresponding with the trusted users
Magnitude；The transactions requests include first user the first user identifier and first user call first service when pair
The first service mass value answered；
Judge whether first user has established block chain account in the block chain forecasting system；
If so, carrying out algorithm of knowing together based on Byzantium's volume to first user and the first service mass value
Ballot, when voting through, is recorded first user in the block chain forecasting system for the first service mass value
On block chain account on；
If it is not, be first user the first block chain account of creation then in the block chain forecasting system, and according to
The existing block chain account of block chain forecasting system, verifies whether first user is trusted users, when described first
When user is trusted users, the first service mass value is recorded in the first block chain account；
The service quality predictions request of target user is obtained, and according to each trusted users in the block chain forecasting system
To the service quality value of each service commitment, the service quality observation matrix at current time is constructed, further according to the service quality
Observation matrix, Xiang Suoshu target user return to prediction result.
Further, described to judge whether first user has established block chain account in the block chain forecasting system
Family, specifically:
According to first user identifier and preset Hash Encryption Algorithm, the first homomorphism for calculating first user dissipates
Train value；
According to preset alignment algorithm, judge the first homomorphic hashes value whether in the block chain forecasting system
Some block chain accounts match；Wherein, the corresponding homomorphic hashes value of each block chain account.
Further, described according to the existing block chain account of the block chain forecasting system, verify first user
It whether is trusted users, specifically:
Corresponding each Service Quality when the trusted users calling first service existing according to the block chain forecasting system
Magnitude executes and arbitrates intelligent contract, with this verify the first service mass value whether confidence values, and verify described first with this
Whether user is trusted users；
When first user is trusted users, the first block chain account is recorded in the first service mass value
On family；
When first user be can not credit household when, forbid the first service mass value firstth area is recorded
In block chain account.
Further, described according to service of each trusted users to each service commitment in the block chain forecasting system
Mass value constructs the service quality observation matrix at current time, specifically:
The service quality observation matrix R has potential user's factor U to be added with potential service factor S and obtains；Wherein, U
∈Rd×n；S∈Rd×m；Rank (R)=d, n are the quantity of trusted users, and m is the quantity of service；
The service quality observation matrix R, which meets, minimizes loss function:
Wherein, if i-th of trusted users of current time have service call to j-th of service, Iij=1；
If i-th of user of current time does not have service call to j-th of service, Iij=0；
Symbol | | | |FIndicate Frobenius norm；λU, λSIt is the parameter for controlling regularization degree.
Further, the service quality prediction technique based on block chain further include: described in being updated by following formula
Loss function is minimized, U and S are updated with this, and service quality observation matrix Q is obtained with this；
Q=UTS。
The implementation of the embodiments of the present invention has the following beneficial effects:
Service quality prediction technique provided in an embodiment of the present invention based on block chain, is every by block chain forecasting system
A trusted users establish block chain account, each block chain Account History user identifier of one trusted users and this can credit
The corresponding multiple service quality values in family；When a user needs to add the service quality value of new demand servicing on block, pass through base
In the ballot of Byzantium's volume common recognition algorithm, it is determined whether addition.It finally again each can credit in foundation block chain forecasting system
Family constructs the service quality observation matrix at current time, is observed by service quality to the service quality value of each service commitment
Matrix predicts service quality.It cannot be completely eliminated unreliable user compared with the prior art and carrying out service quality prediction
When influence, technical solution of the present invention is by the prediction of the service quality value of block chain technical application to cloud service, in block chain
All service quality value progress are believable, the interference that unreliable user predicts service quality completely eliminated, to improve
The accuracy of service quality prediction.
Detailed description of the invention
Fig. 1 is a kind of process signal of embodiment of the service quality prediction technique provided by the invention based on block chain
Figure；
Fig. 2 is a kind of algorithm frame schematic diagram of embodiment of arbitration algorithm provided by the invention；
Fig. 3 is a kind of algorithm frame schematic diagram of embodiment of prediction algorithm method provided by the invention；
Fig. 4 is a kind of flow diagram of embodiment provided by the invention that service call is carried out based on prediction result；
Fig. 5 is the experimental data comparison chart of different prediction techniques provided by the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is a kind of process of embodiment of the service quality prediction technique provided by the invention based on block chain referring to Fig. 1
Schematic diagram, method includes the following steps:
Step 101: receiving the transactions requests for being used to be added block chain forecasting system that the first user sends；Wherein, block
Chain forecasting system includes several block chain accounts, and each block chain Account History user identifier of one trusted users and
The corresponding multiple service quality values of the trusted users；Transactions requests include the first user identifier and first user's tune of the first user
Corresponding first service mass value when with first service.
In the present embodiment, when user calls work service, it can collect theirs by providing services to the user
Service quality value, and store that data in predictive server, and therefrom choose trusted users as block chain and predict system
The trusted users of system establish block chain account for it.The user identifier of one trusted users of each block chain Account History and should
The corresponding multiple service quality values of trusted users.One trusted users can call multiple services, and the clothes in forecasting system are added
Business mass value is believable.
In the present embodiment, corresponding first service mass value is provided when the first user calls first service, and is want the
When one service quality value is added to forecasting system, transactions requests are sent to block chain forecasting system.Transactions requests include the first use
The first service mass value of family mark and synchronous crypto-operation.Service quality value is QOS, is one group of nonfunctional space, such as availability,
Response time executes time and handling capacity etc..
Step 102: judging whether the first user has established block chain account in block chain forecasting system；If so, executing
Step 103, if it is not, thening follow the steps 104.
In the present embodiment, step 102 specifically: according to the first user identifier and preset Hash Encryption Algorithm, calculate
The first homomorphic hashes value of first user；According to preset alignment algorithm, judge whether the first homomorphic hashes value is pre- with block chain
Existing block chain account matches in examining system；Wherein, the corresponding homomorphic hashes value of each block chain account.
In the present embodiment, preset Hash Encryption Algorithm is
Preset alignment algorithm are as follows:
Wherein, p is a big random prime numbers, and m indicates number of users, can calculate b by function hiAnd bjTwo disappear
Cease block.Homomorphic hashes value can be, but not limited to the user identifier as user, distinguish different users with this.
Step 103: the ballot based on Byzantium's volume common recognition algorithm is carried out to the first user and first service mass value, when
When voting through, block chain account of first user in block chain forecasting system is recorded in first service mass value
On.
In the present embodiment, if deserved, illustrate the block chain account for having the first user in forecasting system, then
Based on the ballot of Byzantium's volume common recognition algorithm, votes through, the first user is recorded in block chain in first service mass value
In block chain account in forecasting system, ballot does not pass through, then does not record.Ballot based on Byzantium's volume common recognition algorithm is main
The intelligent contract of arbitration is formed by other trusted users in forecasting system, for example according to other trusted users pair in forecasting system
In the service quality value of the first service, credit evaluation is carried out to first service mass value, a user carries out single ballot, when
When poll is more than preset threshold (ratio as ballot poll accounts for aggregate votes is greater than X, and the value of X can be customized), it is determined as voting
Pass through, does not otherwise pass through for ballot.
Step 104: in block chain forecasting system, creating the first block chain account for the first user, and according to block chain
The existing block chain account of forecasting system, whether the first user of verifying is trusted users, will when the first user is trusted users
First service mass value is recorded in the first block chain account.
In the present embodiment, if being not matched to corresponding block chain account, the first block chain account is created, and verify
Whether the first user is trusted users, specifically:
Corresponding each service quality value, executes when trusted users calling first service existing according to block chain forecasting system
Arbitrate intelligent contract, with this verify first service mass value whether confidence values, and with this verify first user whether be can
Credit household；
When the first user is trusted users, first service mass value is recorded in the first block chain account；
When the first user be can not credit household when, forbid first service mass value being recorded in the first block chain account.
In the present embodiment, intelligent contract is arbitrated to be made of the account in each block chain, in fact, these accounts it
So staying on block chain, illustrate that user representated by these accounts is reliably, the Qos value for including in user is also process
Arbitrated procedure is assert correct.Its detailed process is as shown in Fig. 2, for example: the user into forecasting system being requested to provide
The qos value of oneself, such as it is 200s that it, which accesses the response time of a certain cloud service, and the known secure user in block chain is visited
The response time for asking same cloud service is 20s, this secure user can request this use into forecasting system
Queried at family.
Step 105: obtaining the service quality predictions request of target user, and according to each credible in block chain forecasting system
User constructs the service quality observation matrix at current time, further according to service quality to the service quality value of each service commitment
Observation matrix returns to prediction result to target user.
In the present embodiment, step 105 can be after step 103, can also execute after step 104 is performed.
In the present embodiment, each service is mentioned according to each trusted users in block chain forecasting system in step 105
The service quality value of friendship constructs the service quality observation matrix at current time, specifically:
Service quality observation matrix R has potential user's factor U to be added with potential service factor S and obtains；Wherein, U ∈ Rd ×n；S∈Rd×m；Rank (R)=d, n are the quantity of trusted users, and m is the quantity of service；
The service quality observation matrix R, which meets, minimizes loss function:
Wherein, if i-th of trusted users of current time have service call to j-th of service, Iij=1；
If i-th of user of current time does not have service call to j-th of service, Iij=0；
Symbol | | | |FIndicate Frobenius norm；λU, λSIt is the parameter for controlling regularization degree.
Further, the minimum loss function is updated by following formula, U and S is updated with this, and obtain with this
Service quality observation matrix Q；
Q=UTS。
In the present embodiment, when target user predicts, by constructing real-time service quality observation matrix Q, into
The prediction of row service quality value can be found in the algorithm frame schematic diagram of Fig. 3 in detail.
Finally, user selects the optimum network service to be called using corresponding prediction result, it can be found in Fig. 4's in detail
Schematic diagram.For example, a user a wants to look for a certain function in cloud service, discovery service B and service C can provide the function
Can, but it accessed the two services not yet, it is not known that the response time that access the two corresponding services is how many,
Optimal network service be in response to certainly the time it is smaller that, now forecast to user a access B response time be 100s,
The response time of user a access C is predicted as 300s, that user will select B.
Effect in order to further illustrate the present invention, the present invention have obtained this prediction technique and other by way of experiment
Prediction technique is directed to the comparison of response time in service quality (QoS) index, and detailed data is as shown in Figure 5.Prediction of the invention
Method is named as BMF, as shown in Figure 5,
In conclusion the service quality prediction technique provided in an embodiment of the present invention based on block chain, pre- by block chain
Examining system is that each trusted users establish block chain account, each block chain Account History user identifier of one trusted users
Multiple service quality values corresponding with the trusted users；When a user needs to add the service quality value of new demand servicing on block
When, pass through the ballot based on Byzantium's volume common recognition algorithm, it is determined whether addition.Finally again according to every in block chain forecasting system
A trusted users construct the service quality observation matrix at current time, pass through service to the service quality value of each service commitment
Quality control matrix predicts service quality.It cannot be completely eliminated unreliable user compared with the prior art servicing
Influence when prediction of quality, technical solution of the present invention by the prediction of the service quality value of block chain technical application to cloud service,
All service quality values carry out believable in block chain, completely eliminate the interference that unreliable user predicts service quality,
To improve the accuracy of service quality prediction.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (5)
1. a kind of service quality prediction technique based on block chain characterized by comprising
Receive the transactions requests for being used to be added block chain forecasting system of the first user transmission；Wherein, block chain prediction system
System includes several block chain accounts, and each block chain Account History user identifier of one trusted users and this can credit
The corresponding multiple service quality values in family；The transactions requests include that the first user identifier of first user and described first are used
Corresponding first service mass value when the calling first service of family；
Judge whether first user has established block chain account in the block chain forecasting system；
If so, carrying out the throwing based on Byzantium's volume common recognition algorithm to first user and the first service mass value
When voting through first user is recorded in the block chain forecasting system in the first service mass value by ticket
Block chain account on；
If it is not, creating the first block chain account then in the block chain forecasting system for first user, and according to described
The existing block chain account of block chain forecasting system, verifies whether first user is trusted users, as first user
When for trusted users, the first service mass value is recorded in the first block chain account；
The service quality predictions request of target user is obtained, and according to each trusted users in the block chain forecasting system to every
The service quality value of a service commitment constructs the service quality observation matrix at current time, observes further according to the service quality
Matrix, Xiang Suoshu target user return to prediction result.
2. the service quality prediction technique according to claim 1 based on block chain, which is characterized in that described in the judgement
Whether the first user has established block chain account in the block chain forecasting system, specifically:
According to first user identifier and preset Hash Encryption Algorithm, the first homomorphic hashes of first user are calculated
Value；
According to preset alignment algorithm, judge the first homomorphic hashes value whether with it is existing in the block chain forecasting system
Block chain account matches；Wherein, the corresponding homomorphic hashes value of each block chain account.
3. the service quality prediction technique according to claim 2 based on block chain, which is characterized in that described according to
The existing block chain account of block chain forecasting system, verifies whether first user is trusted users, specifically:
Corresponding each service quality value when the trusted users calling first service existing according to the block chain forecasting system,
Execute and arbitrate intelligent contract, with this verify the first service mass value whether confidence values, and first user is verified with this
It whether is trusted users；
When first user is trusted users, the first block chain account is recorded in the first service mass value
On；
When first user be can not credit household when, forbid the first service mass value the first block chain is recorded
In account.
4. the service quality prediction technique according to claim 1 based on block chain, which is characterized in that described according to institute
It states each trusted users in block chain forecasting system and the Service Quality at current time is constructed to the service quality value of each service commitment
Observation matrix is measured, specifically:
The service quality observation matrix R has potential user's factor U to be added with potential service factor S and obtains；Wherein, U ∈ Rd ×n；S∈Rd×m；Rank (R)=d, n are the quantity of trusted users, and m is the quantity of service；
The service quality observation matrix R, which meets, minimizes loss function:
Wherein, if i-th of trusted users of current time have service call to j-th of service, Iij=1；
If i-th of user of current time does not have service call to j-th of service, Iij=0；
Symbol | | | |FIndicate Frobenius norm；λU, λSIt is the parameter for controlling regularization degree.
5. the service quality prediction technique according to claim 4 based on block chain, which is characterized in that further include: pass through
Following formula updates the minimum loss function, updates U and S with this, and obtain service quality observation matrix Q with this；
Q=UTS。
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