CN104320358A - QoS (Quality of Service) business control method in power telecommunication net - Google Patents
QoS (Quality of Service) business control method in power telecommunication net Download PDFInfo
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Abstract
The invention discloses a QoS business control method in a power telecommunication net. The method comprises the following steps: providing a business classification standard of the power telecommunication net, setting business importance degree of a power system according to QoS demand, and distributing a DSCP (differentiated services code point) value according to high-low of the business importance degree and class of business; providing a QoS business control step in the power telecommunication net in addition, wherein the step mainly comprises two stages of QoS business identification and QoS route optimization, and two stages are specifically as follows: firstly performing QoS business classification and identification on a business stream entering the power telecommunication net, and then performing QoS route optimization control after obtaining the DSCP value. The QoS business identification have both characteristics of being fast and simple in port matching, robust, low in complexity and good in flexibility, and characteristics of precise and effective in DPI, good in expandability of a flow character analytical method, and small in computation expenditure and storage expenditure; a destination address and the DSCP value are combined for route selection through the QoS route optimization, the routes are distributed according to different power business requirements on the basis of destination route selection, thereby promoting the business transmission quality of the power telecommunication net and realizing the QoS route optimal control.
Description
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Technical field
The present invention relates to the QoS Service control method, particularly power telecom network class of service partitioning in a kind of power telecom network, power system service importance degree
r i value method, Business Stream DSCP value apportion design, based on the QoS Service control method that QoS traffic identification and QoS routing optimality control.
Background technology
Along with the fast development of electric power energy and communicating integral and intelligent grid, power communication plays an increasingly important role for electric power system.Power telecom network carries various production and administration business in electric power system, and directly have influence on the stable of electric power system and safety in production, its reliability service also seems more important.
Current electric power system from traditional concept power telecom network position production scheduling, government affairs the pure speech business provided is provided, change into and whole electricity market is provided, the non-voice of electrical production and diversified economy overall process, data service service, in conjunction with all kinds of safe, real-time, at a high speed business flexibly, form a comprehensive power communication private network.
The power telecom network communication capacity that can alleviate public network slower development and cause is not enough and fill up the contradiction that public network is difficult to meet some power department specific communication demands, carries out normally and efficiently to ensure that power specialtyization is produced.The business of power communication can be divided into crucial operation business and the large class of transaction management business two.Crucial operation business refers to remote motion signal, data acquisition and supervisor control, EMS, relay protection signal and dispatching telephone etc.; Transaction management business comprises administration telephone, conference telephone and video conferencing, management information data etc.Different energy communication services, requires also different.Crucial operation business information amount is little.But it is very high to the real-time communicated, accuracy and reliability requirement; Transaction management business is then that class of business is many, change is fast, communication flows is large.
In recent years, telecommunications system reform in global range, relaxs control, breaks up monopoly, introducing competition mechanism becomes inundant trend; Meanwhile, the reform and opening-up of China is deepened step by step; Wherein the reform of electric power and telecommunications is on the forefront.For adapting to the high requirements of support of modern electric communication key business, need to establish electric power system high speed data network technical system early, follow-up study utilizes power line transmission high speed communication data technology, how solve utilizes new technology to realize the broadband integrated communications platform of power communication key business, such as, how carried out the problems such as the key business of combined power communication by IP.
Dcs (distributed control systems is called for short DCS) refers to multiple control loop in difference production control process, can concentrate again simultaneously and obtain data, centralized management and central controlled automatic control system.Dcs has the functions such as data acquisition, direct data control, man-machine interaction and monitor and managment.Dcs grows up on the basis of SCC, direct digital control system and Multilevel computer control systems, is a kind of fairly perfect control and management system of production process.In dcs, controlling functions is disperseed as far as possible, management function Relatively centralized.This decentralized control mode can improve the reliability controlled, and will whole system be made out of hand due to the fault of computer.When management level breaks down, process control level still has independent control ability, and time breaking down in unit control loop, also unlikely impact is overall.Compared with Multilevel computer control systems, dcs structurally more flexibly, layout is more reasonable and cost is lower.
QoS(Quality of Service) service quality, be a kind of security mechanism of network, be used to a kind of technology solving the problem such as network delay and obstruction.Under normal circumstances, if network is only for specific timeless application system, do not need QoS, such as Web application, or E-mail is arranged.But to key application and multimedia application just very necessary.When network over loading or congested time, QoS can guarantee that important service amount is not postponed or abandons, and ensures the Effec-tive Function of network simultaneously.
At present, what the QoS of electric power communication transmission network network mainly realized is concentrated QoS index, namely gives security to each communication service with the overall QoS of transmission network.Because the class of business in power telecom network is varied, particularly the difference of business is very huge, such as, some important service such as relaying protection, the QoS of their demands should and strict.And should be very low to those its qos requirements of general service transmitted on a communication network.In this case, if use a kind of QoS to ensure to provide communication service, the QoS of whole each communication service not only can not be ensured, and owing to providing higher QoS to the business of some lower QoS business demands, thus cause huge waste.Meanwhile, the QoS fail safe of system also can not be guaranteed, because once current QoS system exits service, then all business are all without QoS service.In order to realize the power communication network operation of high efficient and reliable, QoS control mode in power telecom network just must be studied.
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Summary of the invention
For overcoming the deficiencies in the prior art, the object of the present invention is to provide a kind of QoS Service control side method in power telecom network, the service transmission quality of power telecom network can be promoted, thus realize the control of QoS routing optimality, both there is fast simple, robust, complexity are low and flexibility the is good feature of port match, have again DPI accurately effectively, traffic characteristic analytic approach extensibility is good, computing cost and the little feature of storage overhead.
For achieving the above object, technical scheme of the present invention is as follows:
A QoS service control method in power telecom network, is characterized in that: its method comprises the following steps:
(1) power telecom network class of service is divided; Multiple power telecom network service security classification is divided according to the important function of power communication network service in power communication; The important function of this power communication network service in power communication divides power telecom network service security classification from low to high from high to low;
According to granularity be according to class of service divide fine degree divide, based on applicating category, then according to business, the significance level of power communication industry is divided according to the important function of power communication network service in power communication, other different business of same class.
(2) power communication network service importance degree ri is set; Power telecom network class of service is divided according to step (1), the effect importance degree setting power communication network service importance degree ri value played in power system service according to described power telecom network class of service, power telecom network service security classification higher setting power communication network service importance degree ri value is lower;
(3) power communication network service DSCP(Differentiated Services Code Point is set, differentiated services code points) value; According to height and the class of service distribution DSCP value of business importance degree, each traffic set DSCP value, according to DSCP label numerical value in IP packet, DSCP value is set as binary coded value, when carrying out data communication in power telecom network, the link that the traffic assignments of different DSCP value is different and route;
(4) optimal control of power telecom network QoS business; This control procedure step is as follows:
(401) first the miscellaneous service in power telecom network is carried out to the traffic identification of various granularity,
(402) corresponding DSCP label value is distributed according to the traffic identification result of step (401);
(403) after acquisition DSCP value, the routing optimization based on the destination one-level index of Business Stream controls;
(404) to the same destination address business of arrival, with the DSCP value of business for secondary index, then the routing optimization carried out based on DSCP value secondary index controls.
Further, in described step (1), power telecom network service security category division is: the business in electric power system is divided into key to run business and the large class of transaction management business two, wherein, the large class of crucial operation business is divided into again safety 1 class, safety 2 classes, safety 3 classes;
The crucial operation business of safety 1 class is the core business in electrical production;
The crucial operation business of 2 classes is as the necessary links of electric power system safely, all kinds of scheduling of primary responsibility and intelligent management;
The crucial operation business of safety 3 classes are responsible for transformer station and distribution condition monitoring and automatic business processing;
The large class of transaction management business is divided into safety 4 classes and safety 5 classes from real-time angle, and wherein safety 4 class business are company management management service, and safety 5 classes are IT application in enterprises and management service.
Further, in described step (2), more than 0.5 and for the business of safety 1 class, 2 classes, 3 classes, belonging to the high business of real-time when dividing power communication network service importance degree ri value, in route assignment, giving most high bandwidth and transmission priority;
When ri value below 0.1 and for safety 4 classes, 5 classes business belong to non-real-time service, in route assignment, give minimum transmission priority;
In addition other class business carry out QoS resource distribution; The height of the QoS priority of business and Resourse Distribute foundation ri value sets, and the QoS priority of ri value and business is proportional.
In described step (3), based on the DSCP value that business importance degree and service security classification distribute, this distribution method is:
(301) according to DSCP label numerical value in IP packet, DSCP label value is assigned as the binary coding of 6, in IP packet, DSCP label numerical value is the binary coding of 0 to 63,0 to 63 correspondences is 000000 to 111111,
(302) using the binary coding first of correspondence as the large class of business, this binary coding first setting: 1 is crucial operation business, 0 for transaction management business;
(303) using the binary-coded second of correspondence and the 3rd as being used for distinguishing the subclass in each large class, the front three of DSCP distinguishes each different subclass altogether, it is arranged respectively: 111 is safety 1 class, 110 is safety 2 classes, 101 is safety 3 classes, 011 is safety 4 classes, and 010 is safety 5 classes;
(304) using corresponding for DSCP value binary-coded rear three as being used for identifying different power communication network service importance degree
r i business; Larger its of numerical value of binary-coded rear three bit representations that DSCP value is corresponding represents corresponding power communication network service importance degree
r i larger.
Further, in described step (304), according to power communication network service importance degree ri value, be divided into 8 quantification gradations by corresponding for DSCP value binary-coded rear three, it is respectively: ri value 0 ~ 0.124 is 000, ri value 0.125 ~ 0.249 is 001, ri value 0.25 ~ 0.374 be 010, ri value 0.375 ~ 0.499 is 011, ri value 0.5 ~ 0.624 is 100, ri value 0.625 ~ 0.749 is 101, ri value 0.75 ~ 0.874 be 110, ri value 0.875 ~ 0.999 is 111.
When carrying out priority assign, first distribute priority level according to the numerical value of three after binary coding corresponding to each DSCP value and size, after binary coding the numerical value of three and larger person's priority higher;
When the business that three-bit value after DSCP binary coding is identical, then the front three of relatively more corresponding DSCP binary coded value, front three numerical value and larger business, show that generic is higher, then the priority giving this business is higher.
Further, in described step (401), the processing procedure of traffic identification comprises successively: preliminary treatment, coarseness identification based on port match, traffic characteristic analysis, based on granularity identification in traffic characteristic and port match, fine granularity identification based on DPI; Its concrete grammar is as follows:
A () preliminary treatment, first carries out preliminary treatment to the unfiled energy communication service received at Controlling vertex, this pretreated method captures original business data packet, and divide Business Stream by five-tuple;
B () is based on the coarseness identification of port match; Business Stream after step (a) will carry out port match process, the processing method of this port match is the service traffics of the known port registered in internet numbers allocation manager office according to port list, and these service traffics comprise conversational traffic, have the P2P of fixed port applies;
The analysis of (c) traffic characteristic; According to the behavioural characteristic of flow and the known power communication network service of the statistical nature identification of stream and similar power communication network service that is unknown or encryption; Its recognition methods is: judge whether it is P2P application by the distribution map of packet statistics information as length and quantity; Differentiated service is carried out by the behavior pattern of main frame group; By (IP, port) to identifying P2P business; The unknown business of meticulous identification and secure service is come based on the traffic classification of unsupervised machine learning and recognition methods;
Above-mentioned judging whether is P2P application, it is in P2P mode, information content is all uniformly distributed to the Internet each point, therefore on distribution map, present decentralized and trend that is marginalisation, and in the length of packet statistics information, often kind of P2P application has himself feature, each variant, can be judged by contrast characteristic.
D () is based on granularity identification in traffic characteristic and port match; The power communication network service known according to the middle granularity identification of traffic characteristic table and port list and similar power communication network service that is unknown or encryption
;
Its concrete recognition methods is: the traffic characteristic finding out often kind of different business sums up a traffic characteristic table, and the port simultaneously used according to often kind of different business sums up the business port list corresponding with port.In conjunction with these two tables, all power telecom networks are identified, concrete grammar is exactly that known power communication network service is found out corresponding traffic characteristic and port by searching two tables, even if then similar power communication network service encryption or unknown, also can identify according to rule above, the granularity of this identification is medium size.
C () is based on the fine granularity identification of DPI; Utilize traffic characteristic analytic approach can realize unknown applications and encrypt application and be mapped in relevant applicating category, DPI is supplemented; When power communication network service sophisticated category, adopt DPI accurate recognition and classification method, unknown business automatic sorting out, extract corresponding feature string simultaneously and to go forward side by side line identifier, with supplementary DPI storehouse, realize the meticulous recognition and classification of closed loop DPI.
In described step (c), first, do not identify flow after middle granularity identification and mated by DPI mark sheet, determine whether known applications business, if so, then export fine granularity identification flow; Otherwise unknown business to be confirmed and unknown business sorts out, then extract corresponding feature string and to go forward side by side line identifier, automatically extract DPI feature, add in DPI mark sheet.
The present invention has following beneficial effect:
Fast simple, robust, complexity are low and flexibility the is good feature of the existing port match of QoS traffic identification of the present invention, have again DPI accurately effectively, traffic characteristic analytic approach extensibility is good, computing cost and the little feature of storage overhead; Destination address and DSCP value two parameters combine routing by QoS routing optimality, basis based on destination routing requires to distribute route according to different power businesses, the service transmission quality of power telecom network can be promoted, thus realize the control of QoS routing optimality.
Accompanying drawing explanation
Fig. 1 is power telecom network QoS service control system schematic diagram;
Fig. 2 is all kinds of business importance degree of electric power system
r i figure is divided with DSCP value;
Fig. 3 is closed loop DPI schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, embodiment is described in detail:
See Fig. 1, the utility model QoS service control method mainly comprises power telecom network class of service and divides, power communication network service importance degree
r i setting, power communication network service DSCP, value setting, power telecom network QoS Service control process.Wherein QoS Service control process mainly comprises QoS service identification module and QoS routing optimality control module.The processing procedure of QoS service identification module comprises: preliminary treatment, coarseness identification based on port match, traffic characteristic analysis, based on granularity identification in traffic characteristic and port match, fine granularity identification based on DPI.The processing procedure of QoS routing optimality control module comprises: based on the Route Selection of destination one-level index, carries out the Route Selection based on DSCP secondary index again to arrival same destination business.
The present invention is the QoS of survice demand according to the QoS of survice demand in general communication network being transformed in power telecom network, according to granularity thickness, divides power telecom network class of service with large class and group two kinds of standards.In the present embodiment, power telecom network class of service is divided into crucial operation business and transaction management business two large classes; Run each sub category of business in business and transaction management business two large classes for key and different priority is set.In addition, according to business importance degree
r i just, be each traffic set DSCP value, when carrying out data communication in power telecom network, to these, there is the different all kinds of resource such as link and route of the traffic assignments of different DSCP value.The process of carrying out power telecom network QoS Service control first the miscellaneous service in power telecom network is carried out to the traffic identification of various granularity, distributes corresponding DSCP label to it.After acquisition DSCP value, carry out the control of QoS routing optimality based on the destination one-level index of Business Stream and DSCP value secondary index.
For elaborating technical characteristic of the present invention, it is specifically described below:
Fig. 1 is power telecom network QoS service control system schematic diagram.This QoS Service control method is transformed into the QoS of survice demand in general communication network the QoS of survice demand in power telecom network, divide power telecom network class of service, run each classification in business and transaction management business for key and different priority is set, according to business importance degree
r i just, the corresponding DSCP value of each business, has all kinds of resources such as the different link of the traffic assignments of different DSCP value and route to these when carrying out data communication in power telecom network.The process of carrying out power telecom network QoS Service control first the miscellaneous service in power telecom network is carried out to the traffic identification of various granularity, distributes corresponding DSCP label to it.After acquisition DSCP value, carry out the control of QoS routing optimality based on the destination one-level index of Business Stream and DSCP value secondary index.
(1) energy communication service classification
Business in power telecom network is divided into crucial operation business and the large class of transaction management business two, and wherein the large class of crucial operation business can be divided into again safety 1 class, safety 2 classes, safety 3 classes; The large class of transaction management business can be divided into safety 4 classes, safety 5 classes.
The crucial operation business of safety 1 class is the core business in electrical production, plays an important role to the reliability service of electric power system.The crucial operation business of 2 classes is as the necessary links of electric power system safely, all kinds of scheduling of primary responsibility and intelligent management; The crucial operation business of safety 3 classes are responsible for transformer station and distribution condition monitoring and automatic business processing.The crucial operation business of typical safety 1 class mainly contains stable control and circuit relay protection etc., and the crucial operation business of safety 2 classes mainly contain dispatching telephone, dispatching automation data network, and expert holds a conference or consultation dispatching patcher, communication network intellectualized management system etc.; The crucial operation business of safety 3 class mainly contains power transmission and transformation status monitoring, transformer station's integrated video monitoring, distribution automation operation monitoring, lighting location monitoring system etc.
The large class of transaction management business can be divided into safety 4 classes and safety 5 classes from real-time angle, and wherein safety 4 class business are company management management service, and it is steadily reliable that auxiliary power System Marketization is served; Safety 5 classes are IT application in enterprises and management service, are responsible for electric power enterprise ERP business.The typical services of safety 4 classes comprises power market transaction operation, user power utilization information gathering, Power quality management system, sales service management system, special line and breakdown repair management system, client contact system, CRM system etc.; The typical case of safety 5 classes has data center, electric power system ERP, video conferencing system, administration telephone business etc.
(2) power communication network service importance degree and DSCP value are distributed
Business importance degree ri index is used for embodying certain business causes risk degree to power telecom network safe and reliable operation, it refer to business occur interrupting or defect time influence degree to power telecom network safe and stable operation, ri affects to network risks and is directly proportional.Consider that the function of power system service is each variant, it requires also different to transmission channel, therefore, when ri value, the safety requirements of traffic channel transmission characteristic requirements and different classes of business is combined to assess the impact of business on power telecom network operation risk.The ri value of representative power communication network business is shown in accompanying drawing 2.
According to the feature of DSCP label value in IP packet, the DSCP that can distribute 6 altogether, from 0 to 63, the binary coding of its correspondence is 000000 to 111111, and using its first as the large class of business, 1 is crucial operation business, and 0 is transaction management business; Two or three is used for distinguishing the subclass below each large class, and the front three of DSCP distinguishes each different subclass altogether, and 111 is safety 1 class, and 110 is safety 2 classes, and 101 is safety 3 classes, and 011 is safety 4 classes, and 010 is safety 5 classes.Latter three of DSCP are used for identifying difference
r i business.According to 8 quantification gradations, 0 ~ 0.124 be 000,0.125 ~ 0.249 be 001,0.25 ~ 0.374 be 010,0.375 ~ 0.499 be 011,0.5 ~ 0.624 be 100,0.625 ~ 0.749 be 101,0.75 ~ 0.874 be 110,0.875 ~ 0.999 is 111.
According to feature and the demand of electrical production and management, detailed DSCP value can be distributed as shown in Figure 2 to business all kinds of in power telecom network according to business significance level and routing availability.
To all kinds of business of transaction management, resource allocation policy flexibly can be carried out according to communication condition, avoid general classification to cause all transaction management business all cannot obtain priority; Crucial operation business is then same according to prioritized resources distribution principle, gives the transmission priority of more resource and Geng Gao.
(3) QoS Service control process
The process of carrying out QoS Service control in power telecom network mainly comprises QoS service identification module and QoS route optimization module.
QoS service identification module comprise preliminary treatment, coarseness identification based on port match, traffic characteristic analysis, based on granularity identification in traffic characteristic and port match, fine granularity identification based on DPI.First preliminary treatment is carried out to the business received at Controlling vertex, preprocessing process mainly captures original business data packet, and divide Business Stream by five-tuple, five-tuple refers to source address, destination address, source port, destination interface and host-host protocol, and the termination of Business Stream is determined by timeouts or obvious Business Stream end mark.Pretreated Business Stream will carry out port match process, the main object of port match method isolates the service traffics of the known port registered in internet numbers allocation manager office, comprise conversational traffic, there is the P2P(peer-to-peer network of fixed port, Peer to Peer) application.Because some P2P apply in order to passing through NAT (Network Address Translation, network address translation) and avoid the restriction of fire compartment wall, disguise oneself as well-known port, so by known camouflage port list identification camouflage port in port match method, wouldn't deal with the flow of these ports.Because agreement and the load characteristic of application and the protocol port of use can be changed, but be difficult to the feature of change agreement and service traffics, not only can identify known power communication network service according to the behavioural characteristic of flow and the statistical nature of stream, and the similar power communication network service of the unknown or encryption can be identified.Traffic characteristic analytic approach compares the coarseness classification being suitable for business, rapidly power telecom network flow can be divided into several security classes.Through traffic characteristic method identification module, the electric power system P2P business of camouflage port and internet service can be made a distinction, eliminate the P2P stream of camouflage, port mapping just can be adopted subsequently to identify conversational traffic.For only requiring the strategy business such as P2P being carried out to coarseness identification, can direct Output rusults, perform the flow buffering of service class and control and QoS route.But for requiring the occasion of all business all sophisticated category, DPI module can be delivered to and distinguish each application further, so that sophisticated category accurately can be reached.By the net flow assorted method of compound, can realize in real time, accurately and fast, power telecom network QoS traffic identification flexibly.
Some new power communication network services (as P2P application) adopt camouflage or dynamic port, and the method for application layer encryption evades the recognition and classification of flow, and this makes only to use the method for port mapping and payload analysis to be limited to.Adopt the business categorizing method based on traffic statistics characteristic in the present invention, be based upon on stream characteristic sum traffic behavior analysis foundation, this problem can be solved.Consider that load characteristic and the protocol port used of agreement can be changed, but the feature of agreement and service traffics is difficult to change, not only can identify known Network according to statistical flow characteristic, and unknown power communication network service may be identified.
Main comprising based on the recognition methods of flowing feature utilizes TCP(Transmission Control Protocol transmission control protocol), UDP(User Datagram Protocol, User Datagram Protoco (UDP)) to identifying special P 2 P business; By packet statistics information as the distribution map of length and quantity etc. judges whether it is P2P application; Differentiated service is carried out by the behavior pattern of main frame group; By (IP, port) to identifying some P2P business; The unknown business of meticulous identification and secure service is come based on the traffic classification of unsupervised machine learning and recognition methods.
The identification that (TCP, UDP) is right considers that the P2P agreement of 70% uses TCP and UDP two host-host protocols simultaneously, usual flow control, and request and request-reply adopt UDP, and the transfer of data of reality adopts TCP.Adopt the application of the routine of two agreements to mainly contain P2P and several special application as DNS, NETBIOS, IRC, game and Streaming Media, and these special applications have specific port, by port identification simultaneously.As long as so use two agreements and IP and port to not in static port mapping table simultaneously, just think that it is P2P flow, then adopt the methods such as tag bit String matching method just can identify that specific P2P applies;
Method of identification based on the statistical information such as data packet length, quantity distribution map considers such a case, and the user profile in communication network and system information have very big difference.In addition, P2P controls with route bag and other business as DDoS distributed denial of service, Distributed Denial of Service) distribute in the length of packet, the source and destination address of packet between the control of attack packets and conversational traffic and routing iinformation bag, the aspects such as the arrival rate of packet and the quantity of packet all make a big difference.Can by measuring, analyzing, form the collection of illustrative plates of each business with curve, even can by Fourier transform, wavelet transformation etc. in frequency domain statistic flow feature, formed clearly discernible traffic characteristic distribution map for distinguishing different business.
In the traffic identification method of Intrusion Detection based on host group behavior pattern, form main frame group according to regular partitions such as packet associated, the pattern of the diameter and the quantity of stream and the associated diagram of source port etc. of analyzing main frame group is distinguished traditional C/S and to be applied and P2P applies.
Utilize (IP, port) to add up each IP that certain (IP, port) be connected to, port numbers to carrying out special P 2 P traffic identification method, datagram size and transmit uninterrupted, and carry out traffic identification on this basis.Because pure distributed or hybrid-type P2P network allows user node configuration random port number, the port numbers of carrying out the main frame of peer-to-peer communications is all often mutually different, so the number difference of host ip and port numbers is very little.If the IP address number be connected to and port number approximately equal, the port number that namely different IP numbers is corresponding different, then think P2P flow.Contrary, if the IP number be connected to and port number differ by more than 10, think it is non-P2P flow.
Be flow Statistical Parameters by the average packet length of grouping former in statistical service stream with arrival interval etc. of dividing into groups based on flow analysis and the method for identification without supervision machine learning, realize the classification of power communication network service by machine learning method.The method can reach good nicety of grading and speed, and can identify unknown business and secure service.
Select from traffic characteristic storehouse suitable strategy and corresponding feature to carry out Traffic identification and classification, P2P flow, conversational traffic and abnormal traffic can be filtered out.By the conversational traffic of the business camouflages such as P2P, after the business of camouflage flow is therefrom separated, can may identify with its fixed port and classify.Recognition methods based on properties of flow can realize known/unknown certain class traffic identification and classification, and when obtaining application layer data, and only can realize the classification of business according to the header information of transport layer.When requiring fine-grained classificating requirement, by other recognition methods as deep layer packet detection technique DPI realizes.
To the detection of packet application layer protocol, DPI technology is by finding that application-specific is as P2P business.DPI uses payload character string feature database stored payload characteristic information, and namely the packet mated with payload characteristic is considered as such packet applied.But DPI also exists limitation, to the detection of emerging network application, there is hysteresis quality, and DPI can not detect to encryption P2P application, and algorithm performance is subject to the complexity effect of payload characteristic.For the limitation of DPI, the present invention adopts compound traffic classification and recognition methods, utilizes traffic characteristic analytic approach can realize unknown applications and encrypt application to be mapped in relevant applicating category, supplements DPI.When power communication network service sophisticated category, adopt the accurate recognition and classification method of DPI, unknown business automatic sorting out, extract corresponding feature string to go forward side by side line identifier simultaneously, with supplementary DPI storehouse, realize the meticulous recognition and classification of closed loop DPI, the hysteresis quality that DPI is identified reduces, and sees accompanying drawing 3.Then adopt different character representation methods to encipher flux, and pay close attention to the traffic characteristic of signaling establishment stage and the payload characteristic after encrypting, the complex method that can be combined by the traffic characteristic method in service identification module and DPI solves.
Design according to power telecom network QoS classification of transaction module, performed the division of the large class of business by the traffic characteristic identification module carrying out building according to traffic characteristic before DPI classification, and the identification of known port business is realized by the port match module carrying out building according to port diagnostic, non-classified service traffics and class of business greatly reduce, and only need carry out in such during DPI classification, namely only need check the subset in DPI feature database respectively, thus decrease the workload of deep layer packet detection.In addition, process in units of flowing, generally get front several grouping or front of stream
nindividual byte just can mate payload characteristic.Which reduce DPI computation complexity, the real-time application in high speed routing can be realized.The applied environment of current power communication network requires that detection system is supported linear speed processing speed and supports larger rule set, and has less expense, therefore needs corresponding model matching method.Here adopting the parallel Bloom filter algorithm of hardware supports, by ASCI modularization, after being compiled by regular expression needing the character string detected, being loaded in chip, carry out the software pattern coupling of tagged word qurush level and the comprehensive of ASCI pattern matching.Utilize the hit at first time of special chip TCAM, the hardware approach of the fast parallel process that the size of seek rate and table has nothing to do and utilize the method for multi-core CPU process, the key point such as complexity around the scale of cost velocity mode and realization is set out, in conjunction with Software match algorithm and hardware supports design DPI matching scheme.
After service identification module beat mark, a DSCP value that each class power communication network service is all corresponding.Generally
r i high business is relatively higher to the requirement of path parameter, therefore provides more Priority Service to it.Relation between DSCP value and ri value is: rear three large business in DSCP value, its
r i be worth also higher, otherwise but may not, two
r i be worth rear three possibilities of its DSCP value of close business equal, in detail see accompanying drawing 2.For the business that three-bit value after DSCP is identical, then with reference to the front three of its DSCP value, be worth larger, show that affiliated security class is higher, higher priority should be given.
Business importance degree
r i value more than 0.5 and for safety 1 class, 2 classes, 3 classes business belong to the high business of real-time, in route assignment, give more high bandwidth and transmission priority,
r i value below 0.1 and for safety 4 classes, 5 classes business belong to the non-real-time service of doing one's best, lower transmission priority is given in route assignment, in addition other business belong to the general business of real-time, carry out QoS resource distribution according to DSCP value size.
After traffic identification, QoS Service control will carry out the control of QoS routing optimality, see accompanying drawing 1.Concrete way is: be no longer simple according to destination address addressing when entering the Route Selection stage, but routing that destination address and DSCP value two parameters are combined.Do the feature simultaneously also embodying QoS Service control like this.Such as: for the some Business Streams arriving same destination address, if the DSCP value of certain Business Stream is 0x110110, illustrate that this business is high real time business stream, this business has very high requirement to delay and bandwidth, and the path therefore distributing low lag characteristic forwards; And the other arriving same destination is consumed to point-to-point and the P2P business of massive band width, then select the path of doing one's best to forward.These low delays or the path performance of doing one's best can set in advance statically.
In order to be embodied as the forward-path that different business provides different, needing to safeguard many feasible paths arriving same destination address in the routing table, can utilize and the arranging of path parameter of every bar feasible path is realized.In search procedure, taking destination address as one-level index, with the DSCP value of business for secondary index, thus is that the dissimilar business arriving same destination address finds corresponding down hop path to forward.So just can be implemented on the basis based on destination routing and require to distribute route according to different power businesses, thus promote the service transmission quality of power telecom network, finally realize QoS routing optimality and control.
All kinds of business importance degree of Fig. 2 electric power system
r i divide with DSCP value.The former divides according to the influence degree of power system service to electrical production risk, the latter based on class of service and
r i distribute.
Fig. 3 is a kind of DPI method based on compound traffic classification and identification, utilizes traffic characteristic analytic approach can realize unknown applications and encryption application is mapped in relevant applicating category, supplements DPI.When power communication network service sophisticated category, adopt DPI accurate recognition and classification method, unknown business automatic sorting out, extract corresponding feature string simultaneously and to go forward side by side line identifier, with supplementary DPI storehouse, realize the meticulous recognition and classification of closed loop DPI.
First, do not identify flow after middle granularity identification and mated by DPI mark sheet, determine whether known applications business, if so, then export fine granularity identification flow; Otherwise unknown business to be confirmed and unknown business sorts out, then extract corresponding feature string and to go forward side by side line identifier, automatically extract DPI feature, add in DPI mark sheet.
Based on above-mentioned, The present invention gives power telecom network business categorizing standard, according to QoS demand setting power system service importance degree, and distribute DSCP value according to the height of business importance degree and class of service, give the step of the QoS Service control in power telecom network in addition, be mainly QoS traffic identification and QoS routing optimality two benches.First QoS business categorizing and identification are carried out to the Business Stream entering powerline network, after obtaining DSCP value, carry out the control of QoS routing optimality again.Fast simple, robust, complexity are low and flexibility the is good feature of the existing port match of QoS traffic identification in the present invention, have again DPI accurately effectively, traffic characteristic analytic approach extensibility is good, computing cost and the little feature of storage overhead; Destination address and DSCP value two parameters combine routing by QoS routing optimality, the basis based on destination routing requires to distribute route according to different power businesses, thus promotes the service transmission quality of power telecom network, realize QoS routing optimality and control.
More than show and describe general principle of the present invention and principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; what describe in above-described embodiment and specification just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.Application claims protection range is defined by appending claims and equivalent thereof.
Claims (9)
1. the QoS service control method in power telecom network, is characterized in that: its method comprises the following steps:
(1) power telecom network class of service is divided; Multiple power telecom network service security classification is divided according to the important function of power communication network service in power communication; The important function of this power communication network service in power communication divides power telecom network service security classification from low to high from high to low;
(2) power communication network service importance degree ri is set; Power telecom network class of service is divided according to step (1), the effect importance degree setting power communication network service importance degree ri value played in power system service according to described power telecom network class of service, power telecom network service security classification higher setting power communication network service importance degree ri value is lower;
(3) power communication network service DSCP value is set; According to height and the class of service distribution DSCP value of business importance degree, each traffic set DSCP value, according to DSCP label numerical value in IP packet, DSCP value is set as binary coded value, when carrying out data communication in power telecom network, the link that the traffic assignments of different DSCP value is different and route;
(4) optimal control of power telecom network QoS business; This control procedure step is as follows:
(401) first the miscellaneous service in power telecom network is carried out to the traffic identification of various granularity,
(402) corresponding DSCP label value is distributed according to the traffic identification result of step (401);
(403) after acquisition DSCP value, the routing optimization based on the destination one-level index of Business Stream controls;
(404) to the same destination address business of arrival, with the DSCP value of business for secondary index, then the routing optimization carried out based on DSCP value secondary index controls.
2. the QoS service control method in power telecom network according to claim 1, is characterized in that,
In described step (1), power telecom network service security category division is: the business in electric power system is divided into key to run business and the large class of transaction management business two, and wherein, the large class of crucial operation business is divided into again safety 1 class, safety 2 classes, safety 3 classes;
The crucial operation business of safety 1 class is the core business in electrical production;
The crucial operation business of 2 classes is as the necessary links of electric power system safely, all kinds of scheduling of primary responsibility and intelligent management;
The crucial operation business of safety 3 classes are responsible for transformer station and distribution condition monitoring and automatic business processing;
The large class of transaction management business is divided into safety 4 classes and safety 5 classes from real-time angle, and wherein safety 4 class business are company management management service, and safety 5 classes are IT application in enterprises and management service.
3. the QoS service control method in power telecom network according to claim 2, it is characterized in that, in described step (2), more than 0.5 and for the business of safety 1 class, 2 classes, 3 classes, belonging to the high business of real-time when dividing power communication network service importance degree ri value, in route assignment, giving most high bandwidth and transmission priority;
When ri value below 0.1 and for safety 4 classes, 5 classes business belong to non-real-time service, in route assignment, give minimum transmission priority;
In addition other class business carry out QoS resource distribution; The height of the QoS priority of business and Resourse Distribute foundation ri value sets, and the QoS priority of ri value and business is proportional.
4. the QoS service control method in power telecom network according to claim 3, is characterized in that, in described step (3), based on the DSCP value that business importance degree and service security classification distribute, this distribution method is:
(301) according to DSCP label numerical value in IP packet, DSCP label value is assigned as the binary coding of 6, in IP packet, DSCP label numerical value is the binary coding of 0 to 63,0 to 63 correspondences is 000000 to 111111,
(302) using the binary coding first of correspondence as the large class of business, this binary coding first setting: 1 is crucial operation business, 0 for transaction management business;
(303) using the binary-coded second of correspondence and the 3rd as being used for distinguishing the subclass in each large class, the front three of DSCP distinguishes each different subclass altogether, it is arranged respectively: 111 is safety 1 class, 110 is safety 2 classes, 101 is safety 3 classes, 011 is safety 4 classes, and 010 is safety 5 classes;
(304) using corresponding for DSCP value binary-coded rear three as the business being used for identifying different power communication network service importance degree ri; Larger its of numerical value of binary-coded rear three bit representations that DSCP value is corresponding represents that corresponding power communication network service importance degree ri is larger.
5. the QoS service control method in power telecom network according to claim 4, it is characterized in that, in described step (304), according to power communication network service importance degree ri value, 8 quantification gradations are divided into by corresponding for DSCP value binary-coded rear three, it is respectively: ri value 0 ~ 0.124 is 000, ri value 0.125 ~ 0.249 is 001, ri value 0.25 ~ 0.374 is 010, ri value 0.375 ~ 0.499 is 011, ri value 0.5 ~ 0.624 be 100, ri value 0.625 ~ 0.749 is 101, ri value 0.75 ~ 0.874 is 110, ri value 0.875 ~ 0.999 is 111.
6. the QoS service control method in the power telecom network according to claim 4 or 5, it is characterized in that, when carrying out priority assign, first distribute priority level according to the numerical value of three after binary coding corresponding to each DSCP value and size, after binary coding the numerical value of three and larger person's priority higher;
When the business that three-bit value after DSCP binary coding is identical, then the front three of relatively more corresponding DSCP binary coded value, front three numerical value and larger business, show that generic is higher, then the priority giving this business is higher.
7. the QoS service control method in power telecom network according to claim 1, it is characterized in that, in described step (401), the processing procedure of traffic identification comprises successively: preliminary treatment, coarseness identification based on port match, traffic characteristic analysis, based on granularity identification in traffic characteristic and port match, fine granularity identification based on DPI; Its concrete grammar is as follows:
A () preliminary treatment, first carries out preliminary treatment to the unfiled energy communication service received at Controlling vertex, this pretreated method captures original business data packet, and divide Business Stream by five-tuple;
B () is based on the coarseness identification of port match; Business Stream after step (a) will carry out port match process, the processing method of this port match is the service traffics of the known port registered in internet numbers allocation manager office according to port list, and these service traffics comprise conversational traffic, have the P2P of fixed port applies;
The analysis of (c) traffic characteristic; According to the behavioural characteristic of flow and the known power communication network service of the statistical nature identification of stream and similar power communication network service that is unknown or encryption; Its recognition methods is: judge whether it is P2P application by the distribution map of packet statistics information as length and quantity; Differentiated service is carried out by the behavior pattern of main frame group; By IP, port to identifying P2P business; The unknown business of meticulous identification and secure service is come based on the traffic classification of unsupervised machine learning and recognition methods;
D () is based on granularity identification in traffic characteristic and port match; The power communication network service known according to the middle granularity identification of traffic characteristic table and port list and similar power communication network service that is unknown or encryption;
C () is based on the fine granularity identification of DPI; Utilize traffic characteristic analytic approach can realize unknown applications and encrypt application and be mapped in relevant applicating category, DPI is supplemented; When power communication network service sophisticated category, adopt DPI accurate recognition and classification method, unknown business automatic sorting out, extract corresponding feature string simultaneously and to go forward side by side line identifier, with supplementary DPI storehouse, realize the meticulous recognition and classification of closed loop DPI.
8. the QoS service control method in power telecom network according to claim 7, is characterized in that, in described step (c), first, do not identify flow after middle granularity identification and mated by DPI mark sheet, determine whether known applications business, if so, fine granularity identification flow is then exported; Otherwise unknown business to be confirmed and unknown business sorts out, then extract corresponding feature string and to go forward side by side line identifier, automatically extract DPI feature, add in DPI mark sheet.
9. the QoS service control method in power telecom network according to claim 7, is characterized in that, in described step (a), described five-tuple refers to source address, destination address, source port, destination interface and host-host protocol.
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| CN116128256A (en) * | 2023-04-12 | 2023-05-16 | 国网吉林省电力有限公司信息通信公司 | Power business data processing method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1430434A (en) * | 2001-12-21 | 2003-07-16 | 株式会社Ntt都科摩 | Resource control system, method and base station and mobile station using the system, method |
| CN1859294A (en) * | 2005-12-30 | 2006-11-08 | 华为技术有限公司 | Method for providing QoS service for virtual special net user |
| US20090190471A1 (en) * | 2008-01-10 | 2009-07-30 | Mahendran Arungundram C | Method and Apparatus for Optimized Session Setup with Network-Initiated QoS Policy Control |
| CN101958847A (en) * | 2010-11-03 | 2011-01-26 | 南京邮电大学 | Selection method of distributed QOS (Quality of Service) routes |
| CN103229460A (en) * | 2010-09-29 | 2013-07-31 | 思杰系统有限公司 | Systems and methods for providing quality of service via a flow controlled tunnel |
-
2014
- 2014-09-28 CN CN201410509383.5A patent/CN104320358A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1430434A (en) * | 2001-12-21 | 2003-07-16 | 株式会社Ntt都科摩 | Resource control system, method and base station and mobile station using the system, method |
| CN1859294A (en) * | 2005-12-30 | 2006-11-08 | 华为技术有限公司 | Method for providing QoS service for virtual special net user |
| US20090190471A1 (en) * | 2008-01-10 | 2009-07-30 | Mahendran Arungundram C | Method and Apparatus for Optimized Session Setup with Network-Initiated QoS Policy Control |
| CN103229460A (en) * | 2010-09-29 | 2013-07-31 | 思杰系统有限公司 | Systems and methods for providing quality of service via a flow controlled tunnel |
| CN101958847A (en) * | 2010-11-03 | 2011-01-26 | 南京邮电大学 | Selection method of distributed QOS (Quality of Service) routes |
Non-Patent Citations (2)
| Title |
|---|
| 梁紫苑: "移动Ad Hoc网络QoS机制及其性能分析", 《中国优秀硕士学位论文全文数据库信息科技辑（2011年）》 * |
| 黎燕敏: "基于满意优化的QoS路由优化方法研究", 《中国优秀硕士学位论文数据库 信息科技辑（2007年）》 * |
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