CN105187238B - A kind of response method of quality control of LAN stochastic service system - Google Patents
A kind of response method of quality control of LAN stochastic service system Download PDFInfo
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- H—ELECTRICITY
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- 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
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
Abstract
The invention discloses a kind of response method of quality control of LAN stochastic service system, based on given profit and loss coefficient c1Calculate best buffer storage lengthTo take into account the real-time and accuracy of the service of discovery；Wherein, c2To wait for the profit and loss, there are 1 ＞ c1＞ 0, c2＞ 0 and c1+c2=1；Wherein, ρ is intensity transmission；Wherein int () is bracket function.The response method of quality control of the LAN stochastic service system can take into account real-time and reliability, and control effect is ideal.
Description
Technical field
The present invention relates to a kind of response method of quality control of LAN stochastic service system.
Background technology
Currently, smart home consensus standard is numerous, it is common to use consensus standard include Samsung support OIC, apple
The HomeKit of fruit company, leading Allseen alliances of Qualcomm and UPnP protocol.The technical system of first three agreement is complete
It is kind but more complex, need more hardware resource.UPnP protocol is because with small, consumption unrelated with media and transport-type
Hardware resource is few, and autgmentability is strong and is suitble to do the advantages such as small-scale service, it has also become the smart home agreement being most widely used
Standard.But in service discovery process, when control terminal handles a large amount of service response messages simultaneously, it is susceptible to serious message and gathers around
Plug loses problem.In the UPnP development processes of early stage, the corresponding XML message of discovery response of each service type, often
An XML message need to only be added by increasing a service response, it is not necessary to the whole service response information of update.With support UPnP protocol
Smart home device value volume and range of product it is increasing, the service type that equipment provides is more abundant.A large amount of XML messages in network
Concentration return situation also frequently occur therewith, become control terminal message " congestion " in addition lose the main reason for.Smart home
The network equipment generally includes control terminal and equipment end two parts.Usually, the equipment end (referred to as " equipment of UPnP protocol is supported
End ") independent choice is delayed to send response message within the scope of maximum delay, when forward delay interval is close, a large amount of response messages
It will wait in line in control terminal (referred to as " the control terminal ") buffer unit for supporting UPnP protocol.Control terminal is according to First Come First Served
Principle handles response message, and the process of its message processing time is memoryless.These features show that the system is typical
Memoryless stochastic service system.When the length of buffer queue of control terminal is insufficient, response message overflows, the reliability drop of service discovery
It is low；When length of buffer queue is long, response message queuing delay extends, and the real-time of service discovery declines.
Message " congestion " problem, document [Chen Enyi, Shi can not be handled for traditional UPnP service discovery algorithms
Yuanchun, Xu Guang.Evaluation and improvement of UPnP service algorithm [J]
.Journal of Tsinghua University (Science and Technology), 2006,4：040. (Chen Enyi, history
First spring, Xu Guang .UPnP service discovery algorithms performance evaluations and improvement [J] Tsinghua University's journals (natural science edition), 2006,4：
040.) ability that a data structure preserves entire UPnP network] is opened up in equipment end, passes through the forward delay interval at controlling equipment end
It concentrates and returns to avoid a large amount of response messages, this method needs frequent updating data structure just to can guarantee the reality of UPnP network ability
When property and accuracy.Document [Wang Z, Zhao J.Improved algorithm for UPnP discovery in
Smart space [C] //Software Engineering and Service Science (ICSESS), 2012 IEEE
3rd International Conference on.IEEE, 2012：519-522.] consider entire UPnP network, if
A kind of adaptive maximum query time algorithm is counted, by expanding the real-time discovering device/service of maximum delay time, but is delayed
The time of service discovery process.Document [Shi-Cai Y, Wu Y Z, Guo R N.A UPnP-based Decentralized
Service Discovery Improved Algorithm[C]//Computational and Information
Sciences (ICCIS), 2013 Fifth International Conference on.IEEE, 2013：1413-1416.]
Buffer area is set at router node and carrys out storage service response message, the queue pressure at control terminal is transferred to routing section
Point, but do not consider influence of the different length of buffer queue to queuing system performance.
Queueing theory is a kind of theory for analyzing stochastic service system.For service congestion problem, research contents is
Optimal service scheme is found between server capacity and systematic entirety energy.Document [Yan Yingzhan, Tian Liwei.A
Kind of Active queue congestion control algorithm based on queue theory[J]
.Journal of South Normal University (Science and Technology), 2012,44 (1)：63-66.
(a kind of active queue congestion avoidance algorithm [J] South China Normal Universitys journals based on queueing theory of Yan Yingzhan, Tian Liwei, 2012,
44(1)：Expansion factor 63-66.) etc.] is added on the basis of queuing model ideal team leader, data retention is solved and loss is asked
Topic, but do not consider influence of the queuing system under different system performance (such as reliability and real-time) to length of buffer queue.
Real-time in view of intelligent domestic system and reliability double requirements, it is necessary to design a kind of LAN Random Service
The response method of quality control of system.
Invention content
Technical problem to be solved by the invention is to provide a kind of response quality control sides of LAN stochastic service system
The response method of quality control of method, the LAN stochastic service system can take into account real-time and reliability, and control effect is ideal.
The technical solution of invention is as follows：
A kind of response method of quality control of LAN stochastic service system, which is characterized in that based on given profit and loss system
Number c1Calculate best buffer storage lengthTo take into account the real-time and standard of the service of discovery
True property；
Wherein, c2To wait for the profit and loss, there are 1 ＞ c1＞ 0, c2＞ 0 and c1+c2=1；
.Wherein, ρ is intensity transmission；
Theoretically, c1 >=0, but in the present invention, c1 can only take more than 0, could realize the target taken into account in this way.Hereby
Explanation.
Wherein int () is bracket function.
Bracket wherein involved in formula is that common bracket is not rounding symbol.The value of service intensity ρ is by unit
Enter the ratio of the response message number and the number of the response message of control terminal processing in the unit interval of buffer queue in time
It determines.
c1Value is 0.1,0.2 ... ..., 0.9.
c1Value is the real number between 0.1 to 0.9.
Under different scenes, real-time and reliability to system have different requirements.c1What is reflected is the real-time of system,
Its value has different optimal values in varied situations.
UPnP service discovery problems describe
UPnP network equipment is made of control terminal and equipment end.In intelligent domestic system, control terminal is mobile phone or tablet
Equal Portable intelligent terminals, equipment end include the intelligent appliance equipment based on UPnP protocol exploitation such as air-conditioning, television set and refrigerator.
The network model of UPnP protocol is supported usually to be made of a control terminal and multiple equipment end, other control devices can also root
Come according to Permission Levels while controlling these home equipments, the automatic discovery network of smart home is constituted with this.UPnP service discoveries
The scene of process is as shown in Figure 1.
After the control terminals such as mobile phone or tablet enter home network, broadcast service finds request to obtain in the entire network
Online controllable equipment and service.After the intelligent appliances equipment such as air-conditioning, TV listens to service discovery request, by facility information and
Different information on services is packaged into XML message and returns to control terminal.UPnP protocol provides, often increases equipment end (including d kinds
Embedded device and k kinds service type), it is a that response message number increases (3+2d+k).The service that equipment end provides is abundanter, returns
Response message number it is more.Fig. 2 shows UPnP service discovery process.
After equipment end listens to service discovery request, response message is sent to control terminal within the time than comparatively dense.It arrives
Up to after control terminal, it is lined up in buffer unit, and response message is handled according to first come first served basis.When response message is excessive
When, length of buffer queue is insufficient, and response message overflows, and the loss of response message, the reliability of service discovery is caused to reduce；Work as sound
When answering message very few, length of buffer queue is long, and response message queuing delay extends, and the real-time of service discovery declines.It is comprehensive
The real-time and reliability for considering service discovery are closed, the response message queuing model based on the system index profit and loss is established.
Response message queuing model
By analyzing UPnP service discovery process as shown in Figure 2, corresponding queuing flow chart can be established (see Fig. 3).
Each circle represents a response message and (is arrived first and first taken using FCFS after response message inbound message queue in figure
Business) mode the response message queue is handled.During UPnP device is found, if only there are one controls in network
It holds, other control terminals in network can be handled equally；Since equipment end is after listening to service discovery request, in maximum delay
Independent choice sends response message in range, can set the Poisson distribution that response message arrival process meets parameter as λ, wherein λ
To enter the response message number of buffer queue in the unit time；In addition, control terminal is without memory to the processing of message, it can
Time to set control terminal processing response message obeys parameter as the exponential distribution of μ, and wherein μ is control terminal processing in the unit time
Response message number.
According to three above it is assumed that the present invention describes the service discovery process using the M/M/1/ ∞ models of queueing theory,
Meet with a response the state transition diagram of message queue model (see Fig. 4).
The response message number in each status representative response message queue in figure.For example state 0 indicates in the queue
Message is not responded to, is in idle condition；State k indicates there be k response message in response message queue, one of them is being received
The service of control terminal, k-1 are being lined up.Remember that probability of the response message queue in state k is Pk, service intensityThe state transition diagram of message queue according to response has (1) formula.
Then it acquires,
If best buffer storage length is L0, the queue length of actual needs is L.When a large amount of response message pours into control terminal
When, response message cannot fully enter buffer queue, and part response message is dropped, and indicate that length of buffer queue is insufficient, i.e. L0
＜ L.Remember that the average response message count being dropped is Md, calculate as follows：
It can be obtained by level specific pressure contracting ordered series of numbers summation limit formula：
When only a small amount of response message returns to control terminal, buffer queue is not otherwise fully engaged, and indicates buffer queue
It is long.If being at this time M without the average response number for occupying buffer queuep, calculate as follows：
Due to length of buffer queue it is excessive or it is too small loss can be all brought to control terminal, be the quantitative description extent of damage, if
The cost index T (L of control terminal processing message response are counted0).When user focuses on finding the real-time of service, caching team is reduced
The length of row can shorten the queuing delay of response message in queue, so that response message controlled terminal is handled rapidly, but meeting
Part response message is caused to lose.If since length of buffer queue is too small, be unable to timely processing response message and caused by respond
The profit and loss is c1.When user side retransmits the accuracy now serviced, i.e., each necessary controlled terminal of service is handled, increase caching team
Row length can ensure each response message in the queue etc. pending but long length of buffer queue can cause it is longer
Time delay influences the experience of user.If since buffering queue is long, stand-by period bigger and caused by wait for the profit and loss be c2.According to
System discusses cost index T (L to the three kinds of situations of degree point that stress of different indexs0)。
Situation 1：When response message queue only focuses on response index and ignores waiting index, c1=1, c2=0, then
It follows that due to object function T (L0) monotone decreasing, therefore work as L0T (L when → ∞0) there is minimum value.System is to protect
Card response message is not lost can controlled terminal processing with each response message, it is necessary to long using infinitely great buffer queue
Degree caches response message, but part response message has prodigious queuing delay, easily influences the timely of response message processing
Property.
Situation 2：When response message queue takes into account response index and waits for index, c1>=0, c2＞ 0 and c1+c2=1, then
T(L0)=c1Md+c2Mp (6)
Formula (3) and formula (4) are substituted into above formula, and arranged, is had
As control terminal processing message response systematic cost index T (L0) it is minimum when, corresponding length is best caching length
Spend L0.By obtaining best buffer storage length to above formula derivation
Due to L0Positive integer can only be taken, the calculating that rounds up need to be carried out to it, i.e., first adds 0.5, then rounding, has
Work as L0When ＜ 0.5, L is taken0=0.Therefore, profit and loss coefficient c2With L0Relationship meet
Situation 3：Only value waiting index.At this point, c1=0, c2=1, from the above equation, we can see that, best length of buffer queue L0=
0.For this explanation to ensure to handle response message in real time, length of buffer queue need not be arranged in response message queue.Its consequence is to make
It is largely lost at response message, service discovery reliability reduces, and seriously affects user experience quality.
In summary three kinds of situations, to ensure that service discovery process is needed with the real-time and reliability selected for user
It asks, the best queue length in situation 2 has certain reference value in actual application.
The unit of buffer storage length is byte.
Advantageous effect：
During intelligent home network automatic device discovery, delay is selected to network equipment end random independent to send service
Response message generally occurs within serious message congestion phenomenon.To solve service response message congestion problems in intelligent home network,
By taking smart home standard agreement UPnP carries out automatic discovering device as an example, a kind of response matter of LAN stochastic service system is proposed
Amount control method considers there are different requirements to the reliability and real-time of service discovery process in different application scene, devises
Integrated system response index and the communication Profit and loss function for waiting for index, have been derived by best length of buffer queue and profit and loss coefficient
Between relationship.By comparing the arrival time of response message, time departure, stand-by period in different length of buffer queue and stopping
The time is stayed, the validity of the response quality control based on income rate index is demonstrated.
This method can be applicable in for UPnP service discoveries, can also be fitted for other kinds of smart home consensus standard
With.
Description of the drawings
Fig. 1 is UPnP service discovery schematic diagram of a scenario；
Fig. 2 is service discovery process sequence diagram；
Fig. 3 is that response message queue is lined up flow chart；
Fig. 4 is the state transition diagram of response message queue；
Fig. 5 is the relational graph of profit and loss coefficient and best length of buffer queue；
Fig. 6 is the time comparison diagram of each response message when only considering to wait for index；(a) arrival time and time departure pair
Than figure；(b) residence time and stand-by period comparison diagram；
Fig. 7 is the time comparison diagram of each response message when taking into account to wait for index and response index；(a) arrival time and from
ETAD expected time of arrival and departure comparison diagram；(b) residence time and stand-by period comparison diagram；
Fig. 8 is the time comparison diagram of each response message when only considering response index；
(a) arrival time and time departure comparison diagram；(b) residence time and stand-by period comparison diagram；
Fig. 9 is length of buffer queue when being 1, the time comparison diagram of each response message；
(a) arrival time and time departure comparison diagram；(b) residence time and stand-by period comparison diagram；
Figure 10 is length of buffer queue when being 5, the time comparison diagram of each response message；
(a) arrival time and time departure comparison diagram；(b) residence time and stand-by period comparison diagram；
Figure 11 is length of buffer queue when being 10, the time comparison diagram of each response message；
(a) arrival time and time departure comparison diagram；(b) residence time and stand-by period comparison diagram.
Specific implementation mode
The present invention is described in further details below with reference to the drawings and specific embodiments：
Embodiment 1：
A kind of response method of quality control of LAN stochastic service system, which is characterized in that based on given profit and loss system
Number c1Calculate best buffer storage lengthTo take into account the real-time and standard of the service of discovery
True property；
Wherein, c2To wait for the profit and loss, there are 1 ＞ c1＞ 0, c2＞ 0 and c1+c2=1；
.Wherein, ρ is intensity transmission；
Theoretically, c1 >=0, but in the present invention, c1 can only take more than 0, could realize the target taken into account in this way.Hereby
Explanation.
Wherein int () is bracket function.
Bracket wherein involved in formula is that common bracket is not rounding symbol.The value of service intensity ρ is by unit
Enter the ratio of the response message number and the number of the response message of control terminal processing in the unit interval of buffer queue in time
It determines.
c1Value is 0.1,0.2 ... ..., 0.9.
c1Value is the real number between 0.1 to 0.9.
Under different scenes, real-time and reliability to system have different requirements.c1What is reflected is the real-time of system,
Its value has different optimal values in varied situations.
Simulation analysis：
If entering the response message number average out to 10 of buffer queue, i.e. λ=10 in the unit interval；In the control terminal unit interval
The response message number average out to 12.5 of processing, i.e. μ=12.5, at this time intensity transmission ρ=0.8.Profit and loss coefficient is obtained according to (7) formula
c1Best length of buffer queue when being increased with step-length 0.1 in [0.1,0.9] range.Best length of buffer queue and profit and loss system
Several relationships is as shown in Figure 5.
As profit and loss coefficient c1＞ 0.5 shows that system more focuses on response index；Work as c1=0.5, show that system is laid equal stress on response
Index and waiting index；Conversely, system is more focused on waiting for index.By upper figure it is found that with profit and loss coefficient c1Increase, most preferably
Length of buffer queue is continuously increased.The change procedure illustrates that system more payes attention to response index, the best length of buffer queue needed
It is bigger.
The necessity of income rate index
Only focusing on response index for comparison response message queue, only focusing on waiting for index and laying equal stress on response index and waiting
To the influence of response message queuing delay, the setting profit and loss coefficient c when index1=1,0.5 and 0 three kind in the case of to having a competition
It tests, as a result as shown in figs 6-8.
It is tested from above-mentioned three groups of contrast simulations as can be seen that working as profit and loss coefficient c1When being 0, system is only focused on finding service
Real-time, and be not provided with caching, time of each response message queue in queuing system only has with the processing time of control terminal
It closes.Work as c1When being 1, system only focuses on finding the accuracy of service, needs prodigious length of buffer queue (buffer storage length in emulation
2000) to ensure that each response message can be handled.Work as c1When being 0.5, system is laid equal stress on the real-time of the service that finds and accurate
Property, at this time the stand-by period in queue, residence time all between above-mentioned two situations, illustrate in such cases that response disappears
Breath queue obtains equalization point between the real-time and accuracy of service discovery, ensures response while not influencing user experience
Message is not lost, the case where disclosure satisfy that in UPnP service discovery process while requiring reliability and promptness.Therefore design damage
Beneficial index can characterize reliability and real-time simultaneously, and reference is provided in terms of the selection of both performance requirements for user.
The feasibility of model
The requirement of different response index sizes can be effectively adapted to verify the model, c is set1=0.2,0.7, and
c1Contrast test in the case of=0.9 three kind, as a result as shown in figs. 9-11.
Above-mentioned three groups of comparing results show that when c1 is continuously increased, response message queue is by increasing length of buffer queue
Mode meet requirement of the service discovery process to reliability.The residence time of response message in systems obviously increases, and
The proportion that stand-by period accounts for the residence time is increasing, i.e., the service time of control terminal, proportion was reduced within the system.With
Model analysis conclusion above-mentioned is coincide, and illustrates that the queuing model can accurately reflect the process of UPnP service discoveries.
The present invention is directed to the message that UPnP protocol commonly used in smart home occurs in service discovery process and " gathers around
Plug " phenomenon, proposes a kind of Theories Model of Random Service System based on UPnP service discoveries.The comprehensive service discovery pair under different scenes
The different of validity and reliability require, and the mathematical model based on the profit and loss is established on the basis of the model, obtain best delay
Deposit queue length.The relationship between two profit and loss coefficients and best buffer storage length is analyzed, and is tested by MABTLAB software emulations
It has demonstrate,proved it and has been used for the validity of control response quality.
Claims (3)
1. a kind of response method of quality control of LAN stochastic service system, which is characterized in that based on given profit and loss coefficient c1
Calculate best buffer storage lengthTo take into account the real-time of the service of discovery and accurate
Property；
Wherein, c2To wait for the profit and loss, there are 1 ＞ c1＞ 0, c2＞ 0 and c1+c2=1；Wherein, ρ is intensity transmission；
Wherein int () is bracket function；
Profit and loss coefficient c1Refer to since buffer storage length is too small, be unable to timely processing response message and caused by the profit and loss；
Wait for profit and loss c2It refer to the profit and loss caused by the stand-by period is long since buffer storage length is excessive；
The value of intensity transmission ρ is equal to the response message number for entering buffer queue in the unit interval divided by control terminal in the unit interval
The response message number of processing.
2. the response method of quality control of LAN stochastic service system according to claim 1, which is characterized in that c1It takes
Value is 0.1,0.2 ... ..., 0.9.
3. the response method of quality control of LAN stochastic service system according to claim 1, which is characterized in that c1It takes
Value is the real number between 0.1 to 0.9.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101997776A (en) * | 2010-11-18 | 2011-03-30 | 无锡源清高新技术研究所有限公司 | Router queue control system based on congestion identification and control method thereof |
| CN102752192A (en) * | 2012-04-27 | 2012-10-24 | 浙江工商大学 | Bandwidth allocation method of forwarding and control element separation (ForCES) transmission mapping layer based on stream control transmission protocol (SCTP) |
| CN104767691A (en) * | 2015-04-02 | 2015-07-08 | 哈尔滨工程大学 | Web firewall congestion control method based on probabilistic forwarding |
-
2015
- 2015-08-13 CN CN201510495704.5A patent/CN105187238B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101997776A (en) * | 2010-11-18 | 2011-03-30 | 无锡源清高新技术研究所有限公司 | Router queue control system based on congestion identification and control method thereof |
| CN102752192A (en) * | 2012-04-27 | 2012-10-24 | 浙江工商大学 | Bandwidth allocation method of forwarding and control element separation (ForCES) transmission mapping layer based on stream control transmission protocol (SCTP) |
| CN104767691A (en) * | 2015-04-02 | 2015-07-08 | 哈尔滨工程大学 | Web firewall congestion control method based on probabilistic forwarding |
Non-Patent Citations (1)
| Title |
|---|
| A UPnP-based Decentralized Service Discovery Improved Algorithm;Shi-Cai Y et.al;《Computational and Information Sciences(ICCIS)，2013 Fifth International Conference on》;20130623;第1413-1416页 * |
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