CN108737192A - Network service dispositions method based on service reliability - Google Patents
Network service dispositions method based on service reliability Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
- H04L41/0836—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability to enhance reliability, e.g. reduce downtime
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
Abstract
A kind of network service dispositions method based on service reliability：Step 1：Service instantiation.Step 2：Web Service Deployment based on service reliability.Step 3：Network service deployment based on service reliability.Step 2 is given known service arrangement, under conditions of known service is disposed, given business is disposed on given network, to meet the service reliability demand of network.The advantage of the invention is that：It is had studied in given network under conditions of considering service request rate and operation flow, give a kind of Web Service Deployment algorithm and its specific implementation based on the considerations of genetic algorithm business, it ensure that network business reliability, the optimization for instructing network service to dispose；Under the premise of considering service request rule i.e. service request rate, it is proposed that the network service Deployment Algorithm based on service reliability and its specific implementation.Deployment for engineering network service in practice provides corresponding theoretical foundation and important references.
Description
Technical field
The invention belongs to reliability and safety (safety system engineering) technical fields, and in particular to one kind is reliable based on business
The network service dispositions method of property.
Background technology
Services Oriented Achitecture is as new generation network architecture mode at present, using service as basic composition mould
Block supports quick, the inexpensive combined type exploitation of distributed service.How reasonably the important problem brought is,
Deployment business so that Services Oriented Achitecture can return to highly reliable business realizing flow, to meet user demand.
Under given network and given service request, the specific implementation flow of business is unreasonable to lead to network congestion
One of basic reason, and network service deployment is to determine a key factor of business specific implementation flow in network.And net
Network usually undertakes multiple functions, thus needs to dispose multiple business in network, and the business that each needs is disposed is typically by a variety of
Different services and its operation flow composition, multiple Service Instances can be generated by constituting the service of each of business, and different
Business may call the same service, therefore each different Service Instance of calling service is embodied to complete user demand
Reliability level is also different, so at the beginning of network service is disposed, by the service deployment of reasonably optimizing, can make full use of net
While network resource, preferably meet user demand, ensures the service reliability of network.
In current engineering practice, to reasonably carrying out service deployment to reduce network failure, the business of network is improved
Reliability is not given to enough attention.Business in network is substantially the service by service constitution based on some optimization methods
Network mapping just considers the problems of the deployment of business not at the beginning of the network design to physical network.Although passing through service network
Mapping disclosure satisfy that the functional requirements of business, however be to determine due to the topological structure of service network, and this service
Network mapping does not account for service request rule, so cause since service request rule is different, it can be to network node and link
The load of application is also different, so as to cause network business reliability it is also different.To realize network multi-service deployment, and protect
Hinder high service reliability, the method that cannot depend only on service network mapping, the rationally deployment of progress business plays critically important
Effect.And the deployment of service is also considered when carrying out service deployment, service arrangement is the premise of service deployment.Although
The research of the problems such as at present in operational research about service arrangement has been compared fully, however the target of its optimization is mostly to minimize
Lower deployment cost does not account for network business reliability.Therefore at present for service deployment the problem of lack system can
The method for ensureing network business reliability, lacks corresponding theoretical direction and supports.Based on the above research background, this paper proposes
A kind of network service dispositions method based on service reliability.
Invention content
The purpose of the present invention is to solve lack from system perspective to ensure that business is reliable currently for service deployment problem
Property method, propose a kind of network service dispositions method based on service reliability, can obtain meeting service reliability highest
Service deployment scheme.This method can provide corresponding theoretical foundation and important ginseng for the deployment of engineering network service in practice
It examines.
Service deployment problem in network is broadly divided into service arrangement and service deployment by the present invention.Then respectively to service department
The problem of administration and service deployment, proposes deployment model and Deployment Algorithm, and may finally obtain meeting service reliability most
High service deployment scheme.
The network service dispositions method based on service reliability, detailed process are as follows：
Step 1：Service instantiation.
Initial stage is disposed in network service, demand of the user to service delay should be just considered, combine in a given network
The service instantiation number that service request rate and operation flow call network service is made rational planning for, net of analyzing and researching
Specific influence of the network service instantiation number for network service average delay, determines the number of each service arrangement.
Step 2：Web Service Deployment based on service reliability.
The service of being fully considered when service arrangement is called by which business, and how to be called and business
Delay requirement, so the characteristics of mainly considering operation flow and service request rate in the service arrangement stage and examining herein
Consider the delay requirement of business, it is expected that the service arrangement scheme that can meet network business reliability with maximum possible is obtained,
So being set as network business reliability highest to the target of service arrangement herein.
The Web Service Deployment problem of consideration business can be regarded as：Constraints is physical layer cost constraint, target letter
Number is that network service reliability is maximum, it is known that network service request information and network topology and ability information finally obtain
Optimal solution is exactly the optimal network service arrangement mode it is desirable that obtaining.Here optimal network service arrangement is transformed into one
The optimization problem of Problem with Some Constrained Conditions.Set forth herein the considerations of business Web Service Deployment model it is as follows：
Optimization aim：Network service reliability is maximum.
Constraints：(1)
(2)
Decision variable：X, i.e. service arrangement mode；I indicates i-th of node；J indicates j-th of service.
In constraints, formula (1) is physical layer cost constraint, that is, the totle drilling cost for disposing service in a network cannot
More than defined totle drilling cost, K is type service number in network, and N is network node sum, cjIt is that service j is deployed in network node
On cost, C is totle drilling cost as defined in all nodes of network.Formula (2) is to ensure that each service is disposed.
Due to the advantage and feature on duty Optimization of genetic algorithm, service department is carried out using genetic algorithm
The optimization of administration.
Step 3：Network service deployment based on service reliability.
Step 2 is given known service arrangement, under conditions of known service is disposed, is disposed on given network
Given business, to meet the service reliability demand of network.
Network service deployment issue based on service reliability can be regarded as：Constraints be network node load not
More than its processing capacity, we consider the request rules of network service, i.e. service request rate here, because service request is advised
Rule is different, and the load that can apply to network node and link is also different, and the service reliability that network is embodied is also different.Target letter
Number is that network service reliability is maximum, it is known that network service request information, network topology and ability information and service department's management side
Formula, by optimizing the optimal network service deployment mode that obtained optimal solution is exactly this paper.Here just optimal network business department
Administration is transformed into the optimization problem of a Problem with Some Constrained Conditions.So network service deployment based on service reliability herein
Model is as follows：
Dispose target：Network service reliability is maximum.
Constraints：
Dispose result：Y, i.e. service deployment mode.
In the above Optimized model, constraints is that the load of network node is no more than its processing capacity, wherein RnFor warp
Cross the set of the business of node n, λmIndicate the service request rate of m-th of business by the node, CaFor the processing of the node
Ability.
Due to the advantage and feature on duty Optimization of genetic algorithm, herein using genetic algorithm come into industry
The optimization of business deployment.
The advantage of the invention is that：
(1) the present invention provides the Web Service Deployment methods based on service reliability, are had studied in given network
Under conditions of considering service request rate and operation flow, a kind of network service based on the considerations of genetic algorithm business is given
Deployment Algorithm and its specific implementation, ensure that network business reliability, the optimization for instructing network service to dispose.
(2) the network service dispositions method provided by the invention based on service reliability, is considering service request rule
I.e. under the premise of service request rate, it is proposed that the network service Deployment Algorithm based on service reliability and its specific implementation side
Formula.Deployment for engineering network service in practice provides corresponding theoretical foundation and important references.
Description of the drawings
Fig. 1 case service instantiation numbers influence network average delay.
Fig. 2 service arrangement case genetic algorithm result figures.
Fig. 3 service deployment genetic algorithm result figures.
Fig. 4 show the method for the present invention flow chart.
1 service arrangement result table of table.
2 service deployment result table of table.
Specific implementation mode
The present invention is described in further details below in conjunction with attached drawing and example.
It is that a kind of guarantee network service reliability is maximum the present invention is based on the network service dispositions method of service reliability
Service deployment method ensures network service reliability from design angle.
It is as follows, as shown in Figure 4：
Step 1：Service instantiation.
In this example, present case considers to dispose 100 business on the BA networks for having 100 nodes, and each business is adjusted
Service number is 2-4 and differs, and calls 40 kinds of services altogether, assumes that the request rate of each business is 1 herein, each to service
The cost of deployment on the network node is 1, and the totle drilling cost restrict of deployment is 380, the average delay T=0.16 of business, road
Shortest-path rout ing algorithms are selected by mode.It is wherein as follows about some of network and business specifying informations：
Network node processing capacity is set as 80, and the maximum bandwidth on side is set as 60.
Network service instance number refers to the mean value of each service instantiation number.For network service instance number
With the research of the relationship of business average delay, it is as follows that method flow is provided herein：
Step1：Input network information G=(V, E), including the processing capacity of the topological structure of network and network node with
The bandwidth of link, incoming traffic solicited message APP=(A, λ), including wait for the Workflow messages and request rate of deployment business,
Simulation times 200.
Step2：All it is 1,2 in each service instantiation number ... 200 emulation is carried out in the case of 10 respectively, every time
Emulation generates K service arrangement matrix X, and generates corresponding business department's management side according to each service arrangement matrix X
Formula Y.And its business average delay is calculated to K service deployment mode Y of generation.Acquire K industry under the service instantiation number
Result of the business average delay of business deployment way Y as the secondary emulation.
Step3：The average value for calculating the business average delay after emulating in the case of each instantiation number 200 times, as
The time delay of the instantiation number lower network.
Step4：The related simulation result of record, including service instantiation number p and its corresponding be averaged in network at this time
Time delay T.Result is recorded as (p, T) at this time.
Step5：Do the relational graph of service instantiation number p and business average delay T.
Step6：Terminate
Step 2：Web Service Deployment based on service reliability：
Service instantiation number is determined in conjunction with Fig. 1, solve optimal service arrangement mode according to the delay requirement of network.
It is as follows：
(1) it encodes.By service arrangement matrix X, from the first row, a line is launched into a row vector successively to the end.G={ gi:
gi∈ { 0,1 } }, j=1,2 ... G
(2) service instantiation number instructs initial population to generate network average delay affecting laws, first, according to business
Information and corresponding user it is expected to determine the time delay index of initial service deployment scheme, when expected time delay index is 0.16
When, by query graph 1 it is known that the time delay index can be met when service instantiation at least 5 times, thus it is initial generating
When disposing matrix, make each service instantiation 5 times, and raw 40 service arrangement matrixes for meeting constraints, and it encoded,
Initial population is obtained, Population Size is set as pop_size=40；According to this paper coding modes, chromosome length chromo_
Size=N*K services number K=40, then chromosome length chromo_size due to number of network node N=100 in present case
=4000.
(3) fitness function is calculated.Due to being that network service reliability is maximum in this part optimization aim, then according to suitable
The building method of response function, this section fitness function are F (x)=R (x), and wherein R (x) is network service reliability.
(4) genetic manipulation.In order to ensure that convergence, present case use ratio selection strategy and essence to selection opertor
The method that English conversation strategy is combined.In order to keep the Optimality of population gene, single-point crossover operator and basic bit are selected here
Mutation operator.Choose crossover probability cross_rate=0.6.
(5) judge the constraint of cost and service arrangement.New population is generated by mutation operator operation, needs to judge at this time
Whether the lower deployment cost of each individual is more than specification cost 380 in case in new population, if it exceeds then give up the individual, and
An individual is selected to add in population in initial population.Then judge whether that all 40 kinds of services are all disposed, if not provided,
Give up the individual, and selects an individual to add in population in initial population.
(6) end condition.The iterations being arranged in present case are 200 times, when genetic process iterates to 200 times, repeatedly
Terminate for process.Optimal chromosome is exported, is then decoded it as optimal service deployment scheme.
The above process is realized by MATLAB, obtains that the results are shown in Figure 2, it can be seen that works as iterations
When reaching or so 111 generations, optimal adaptation angle value reaches maximum value 0.713, and tends to restrain substantially, at this time population average fitness
Value fluctuates near 0.66.The business reliability of i.e. optimal at this time service arrangement scheme is 0.713, due to a service arrangement
Scheme can generate many service deployment schemes, and not all service deployment scheme can meet the reliability need of business
It asks, therefore the business reliability that this paper service arrangements optimize tallies with the actual situation for 0.713.
Optimal chromosome BEST_individual is decoded as service arrangement matrix at this time, since the matrix size is too big,
This paper following table modes indicate optimal service deployment scheme, as shown in table 1.
Table 1
Step 3：Network service deployment based on service reliability
In conjunction with the optimal service deployment scheme that step 2 obtains, network service is disposed and carries out optimization, it is specific to walk
It is rapid as follows：
(1) it encodes.Service deployment scheme Y is unfolded successively by element, obtains a row vector, as item chromosome.
Chromosome length chromo_size=N*K services number K=40, then dyeing due to number of network node N=100 in present case
Body length chromo_size=4000.
(2) it is based on service arrangement schemes generation initial service and disposes population, according to the upper optimal service deployment side for saving and obtaining
Case, it can be appreciated which service arrangement is on which node, and then each which service is specifically deployed according to table 1
On node, according to information above, to each services selection for being called in each business, it disposes node, to each service generation its
Service path verifies whether it meets node processing power constraint after the service path of 100 business all determines, if
Satisfaction is added in initial population.The initial population that individual amount is 40 is generated in this mode.
(3) fitness function is calculated.Due to being that network service reliability is maximum in this part optimization aim, then according to suitable
The building method of response function, this section fitness function are F (x)=R (x), and wherein R (x) is network service reliability.
(4) genetic manipulation.In order to ensure that convergence, present case use ratio selection strategy and essence to selection opertor
The method that English conversation strategy is combined.In order to keep the Optimality of population gene, single-point crossover operator and basic bit are selected here
Mutation operator.Choose crossover probability cross_rate=0.6.
(5) constraint of predicate node processing capacity.New population is generated by mutation operator operation, needs to judge at this time new
Whether the load of each node is more than 80 when each individual is disposed in a network in population, if it exceeds then give up the individual, and
An individual is selected to add in population in initial population.
(6) end condition.The iterations being arranged in present case are 200 times, when genetic process iterates to 200 times, repeatedly
Terminate for process.Optimal chromosome is exported, is then decoded it as optimal service deployment scheme.
The above process is realized by MATLAB, obtains that the results are shown in Figure 3, it can be seen that works as iterations
When reaching or so 113 generations, optimal adaptation angle value reaches maximum value 0.975, i.e., network service reliability is 0.975 at this time.And base
Originally tend to restrain, population average fitness value fluctuates near 0.94 at this time.
The business reliability of the optimal service deployment scheme obtained at this time is 0.975.
Optimal chromosome BEST_individual is decoded as service deployment scheme at this time, then optimal service deployment scheme
As shown in table 2.
Table 2
Claims (1)
1. a kind of network service dispositions method based on service reliability, it is characterised in that：This method detailed process is as follows：
Step 1：Service instantiation
Initial stage is disposed in network service, considers demand of the user to service delay, combines service request speed in a given network
The service instantiation number that rate and operation flow call network service is made rational planning for, network service instance of analyzing and researching
Change specific influence of the number for network service average delay, determines the number of each service arrangement；
Step 2：Web Service Deployment based on service reliability；
Network business reliability highest is set as to the target of service arrangement；The Web Service Deployment problem of consideration business can be seen
Cheng Shi：Constraints is physical layer cost constraint, and object function is that network service reliability is maximum, it is known that network service request is believed
Breath and network topology and ability information, the optimal solution finally obtained are exactly optimal network service arrangement mode；Here optimal
Web Service Deployment is transformed into the optimization problem of a Problem with Some Constrained Conditions；The Web Service Deployment model of consideration business is such as
Under：
Optimization aim：Network service reliability is maximum；
Constraints：(1)
(2)
Decision variable：X, i.e. service arrangement mode；I indicates i-th of node；J indicates j-th of service；
In constraints, formula (1) is physical layer cost constraint, that is, disposes the totle drilling cost of service in a network no more than
Defined totle drilling cost, K are type service number in network, and N is network node sum, cjIt is that service j is disposed on the network node
Cost, C are totle drilling costs as defined in all nodes of network；Formula (2) is to ensure that each service is disposed；
Due to the advantage and feature on duty Optimization of genetic algorithm, service arrangement is carried out using genetic algorithm
Optimization；
Step 3：Network service deployment based on service reliability；
Step 2 is given known service arrangement, and under conditions of known service is disposed, deployment is given on given network
Business, to meet the service reliability demand of network；
Network service deployment issue based on service reliability can be regarded as：Constraints is that the load of network node is no more than
Its processing capacity, we consider the request rules of network service, i.e. service request rate here, because service request rule is not
Together, the load that can apply to network node and link is also different, and the service reliability that network is embodied is also different；Object function is
Network service reliability is maximum, it is known that network service request information, network topology and ability information and service arrangement mode are led to
It is exactly optimal network service deployment mode to cross the optimal solution that optimization obtains；Here optimal network service deployment is just transformed into one
The optimization problem of Problem with Some Constrained Conditions；Network service deployment model based on service reliability is as follows：
Dispose target：Network service reliability is maximum；
Constraints：
Dispose result：Y, i.e. service deployment mode；
In the above Optimized model, constraints is that the load of network node is no more than its processing capacity, wherein RnTo pass through node
The set of the business of n, λmIndicate the service request rate of m-th of business by the node, CaFor the processing capacity of the node；
Due to the advantage and feature on duty Optimization of genetic algorithm, the optimal of service deployment is carried out using genetic algorithm
Change and solves.
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