CN106209631A - The system of selection of the route in real time of end-to-end communication network - Google Patents

The system of selection of the route in real time of end-to-end communication network Download PDF

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Publication number
CN106209631A
CN106209631A CN201610550240.8A CN201610550240A CN106209631A CN 106209631 A CN106209631 A CN 106209631A CN 201610550240 A CN201610550240 A CN 201610550240A CN 106209631 A CN106209631 A CN 106209631A
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China
Prior art keywords
capacity
path
bandwidth
routed
delay
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CN201610550240.8A
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Chinese (zh)
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洪茂雄
王嘉宏
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Fujian University of Technology
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Fujian University of Technology
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Priority to CN201610550240.8A priority Critical patent/CN106209631A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/302Route determination based on requested QoS

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention discloses the system of selection of the route in real time of a kind of end-to-end communication network, to different service quality ratings, determine end-to-end path, at a known network, characteristic according to link, it is considered to larger capacity and relatively short delay, selects end-to-end path, and determining that the user being routed at every connects number, concrete steps calculate the capacity in all end-to-end paths, delay;Select a capacity maximum and the path of shortest delay;Computation bandwidth;Calculate the connection number of distribution bandwidth;Calculate the capacity making to use up;Update the bandwidth capacity of link;Update the connection number of remaining bandwidth;Recording capacity and connection number, generate sample data sets;Output sample data sets.Present invention achieves the real-time Route Selection for end-to-end communication network, consider quality of service requirement, determining that being suitable for the user of each service quality rating on path, and path connects quantity, experimental result shows that this method can be run and quickly select method for routing.

Description

The system of selection of the route in real time of end-to-end communication network
Technical field
The present invention relates to internet arena, particularly relate to the reality of a kind of end-to-end communication network considering quality of service requirement Time route system of selection.
Background technology
The Internet random network is a kind of network technology reflecting multiple random factor.It is different from traditional network technology, Node, arrow and flow in random network model all with uncertainty to a certain extent, not only reflection activity Various quantitative parameters, if time, expense, resource consumption, benefit, loss etc. are stochastic variables, and network consisting figure is every Activity can also be random, can occur by certain probability or not occur, and allows multiple origin node or from multiple joints that converge The network closed circuit of point exists.Random network represents that problem information relevant in network is the uncertain of the unknown in advance, but It is that these random informations can be described by known probability distribution.Such as, random networking route searching optimization problem I.e. represent and expend the stochastic variable for obeying certain probability distribution by the transmission on limit in network.
Route searching optimization problem in the Internet random network solve the state needing consideration time and network, because of This its problem scale dramatically increases comparatively speaking.And solve the such issues that of shortest path real-time for such as random network, ask The selection amount of calculation making next node is increased by the expansion of topic scale, and this certainly will affect the effectiveness of optimized algorithm.
Service quality (Quality of Service) management is used to solve the problem such as network latency, obstruction and tie up Hold the technology of certain network transmission quality.Service quality comprises reliability (Reliability), postpones (Delay), stability (Jitter), the index such as available bandwidth (Bandwidth).Bandwidth refers to message transmission rate.Along with network service is vigorously sent out Opening up, the network bandwidth needed for application program grows with each passing day.Different application needs different bandwidth, the band needed such as video conference Wide more, the bandwidth that message language needs is relatively low.Bandwidth distribution can ensure that the data of tool high priority can send out the soonest, And the most important application program requires the highest reliability.For reaching quality of service goals, permeable scheduling (scheduling), The technology such as resource reservation (resource reservation) and access control (admission control) realize.
In the face of significantly improving and flourish of communication and Information technology, the Internet increases rapidly, Internet user's quantity The huge congested pressure necessarily causing network faces huge, the most how reasonable distribution internet resource has become have to solve Problem.The discharge pattern become increasingly complex makes network management become a challenging task, its facing challenges One of be catenet service provider (Internet Service Providers) in the face of the big data of network traffic demand Just in ever-increasing situation.In order to the distribution of the bandwidth of the Internet is effectively managed, carry out the traffic demand on network Forecast analysis and the bandwidth resources effectively utilizing whole the Internet to be provided are very important.
Summary of the invention
It is an object of the invention to, to different service quality ratings, select the system of selection that end-to-end path route in real time.
For achieving the above object, the technical scheme is that the route in real time of a kind of end-to-end communication network System of selection, to different service quality ratings, determines end-to-end path, at a known network, according to the characteristic of link, Consider larger capacity and relatively short delay, select end-to-end path, and determine that the user being routed at every connects number, Specifically comprise the following steps that
Step one, calculates the capacity in all end-to-end paths, delay;
Step 2, selects a capacity maximum and the path of shortest delay;
Step 3, calculates the bandwidth that maximum and shortest delay the path of capacity is to be distributed;
Step 4, calculates capacity maximum and the path of shortest delay, in the company of each service quality rating bandwidth to be distributed Connect number;
Step 5, calculates the capacity making to use up;
Step 6, updates the bandwidth capacity of link;
Step 7, updates the connection number of remaining bandwidth;
Step 8, the capacity in the path of recording capacity maximum and shortest delay and each service quality rating bandwidth to be distributed Connection number, generate respectively be routed sample data sets, be routed each grade of service bandwidth to be distributed Connect the sample data sets of number;
Step 9, checks that the connection number of remaining bandwidth, whether equal to 0, if being equal to 0, goes to step 11;If being not equal to 0, it is recycled to step one, continues to select next path;
Step 10, output be routed sample data sets, be routed each grade of service bandwidth to be distributed Connect number sample data sets.
The invention has the beneficial effects as follows:
Present invention achieves the real-time Route Selection for end-to-end communication network, it is contemplated that quality of service requirement, it is resolved that suitable Closing the user of each service quality rating on path, and path and connect quantity, experimental result shows that this method can be run And quickly select method for routing.
Accompanying drawing explanation
Fig. 1 is simple type network diagram;
Detailed description of the invention
Below in conjunction with embodiment, technical scheme is clearly and completely described.
Table 1 is bandwidth capacity and the delay of link;
Table 2 is experimental result;
Table 3 is that the process time is for incremental total customer volume.
The target of this method is to different service quality ratings, it is resolved that end-to-end path, at a known network, root According to the characteristic of link, this method considers larger capacity and relatively short delay, selects end-to-end path, and determines to be chosen at every User on path connects number.
First parameters is set as follows:
The quantity of service quality rating: #class;The quantity in all end-to-end paths: #path;The quantity of all links: # link;The bandwidth capacity of each link: Ue;The delay of link: de
Routing database includes all end-to-end paths: { Pk(e)=0or 1, for k=1,2 ..., #path, for e =1,2 ..., #link}, so the delay in path
Bandwidth θ that each service quality rating is to be distributedi=bi, wherein biIt is the bandwidth needed for the i-th grade, i=1, 2,...,#class
The connection number of each service quality rating bandwidth to be distributed is KiFor i=1,2 ..., #class
For chosen path, set the allocation proportion of bandwidth,
Initiation:
Often after distribution, remaining connection number rem (Ki), it is set as Ki
Quantity #sel in selected path, is set as 0.
Concrete steps:
Step one, calculates the capacity in all end-to-end paths,For k=1,2 ..., # path
Step 2, according to U (Pk(e)) and d (Pk(e)), select a capacity maximum and the path of shortest delay, be expressed as p (e);
Step 3, calculates the capacity of p (e),
Step 4, on p (e), calculates bandwidth A=ratio U (p (e)) to be distributed;
Step 5, on p (e), asks the connection number of every grade, niFor i=1,2 ..., #class, fully use Bandwidth, it is, seek niMake to minimize
Step 6, calculates the capacity making to use up
Step 7, updates the bandwidth capacity U of linke=Ue-p(e)·Uused
Step 8, updates remaining connection number rem (Ki)=rem (Ki)-ni
Step 9, records p (e) and n respectivelyiAt set Qk(e) and set Nk,i
Step 10, #sel=sel+1;
Step 11, checks rem (Ki) whether equal to 0, then stop, otherwise return to next road of step one continuation selection Footpath;
Step 12, exports Qk(e) and Nk,i,QkE () is the set being routed, Qk(e)={ pk(e) for k=1, 2 ..., #sel}, wherein pkE () is in step 2, the selected path of kth bar;Nk,iFor corresponding QkEach grade of (e) Connect number, Nk,i={ (nk,i), for k=1,2 ..., #sel}, wherein nk,iFor in step 5, the selected path of kth bar Determine that each grade connects number.
In the present embodiment, a simple type network is used to carry out this real-time route selection method of evaluation, as it is shown in figure 1, bag Including Three Estate service quality (QoS) user, 26 links, through migration algorithm, can draw 80 end-to-end paths, link is special Property such as table 1 (bandwidth capacity of link and delay) listed, need the number of users of transmission to be respectively 80,120 according to 1,2,3 grades, 150, the bandwidth of each user distribution is respectively set as 160,80,25kbps according to 1,2,3 grades, calculates through this method, it is resolved that End-to-end path, and the number of users to be transmitted in these paths and delay, as shown in table 2 (experimental result).
For the real-time of evaluation this method, add user and connect number summation, from 350,525,700 ..., to 1750, Test platform is Intel Core i5CPU@2.5GHz, uses Matlab to emulate, and the drawing modification time connects number to upper user Curve, as shown in table 3 (time that processes is for incremental total customer volume), process the time about by increase in 0.1 second 0.45 second, Curve is close to linear trend.
The bandwidth capacity of table 1. link and delay
Selected end-to-end path User connects number (n1,n2,n3) Delay(in sec)
e2-e7-e11-e14-e23 (38,56,60) 0.152
e3-e9-e12-e19-e25 (40,60,75) 0.124
e3-e10-e16-e18-e23 (2,4,15) 0.139
Table 2. experimental result
Table 3. processes the time for incremental total customer volume
Described embodiment is only a part of embodiment of the present invention rather than whole embodiments.Based on the present invention In embodiment, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise Example, broadly falls into the scope of protection of the invention.

Claims (1)

1. the system of selection of the route in real time of an end-to-end communication network, it is characterised in that to different service quality ratings, Determine end-to-end path, at a known network, according to the characteristic of link, it is considered to larger capacity and relatively short delay, select end Path, opposite end, and determine that the user being routed at every connects number, specifically comprise the following steps that
Step one, calculates the capacity in all end-to-end paths;
Step 2, selects a capacity maximum and the path of shortest delay;
Step 3, calculates the bandwidth that maximum and shortest delay the path of capacity is to be distributed;
Step 4, calculates capacity maximum and the path of shortest delay, at the connection number of each service quality rating bandwidth to be distributed;
Step 5, calculates the capacity making to use up;
Step 6, updates the bandwidth capacity of link;
Step 7, updates the connection number of remaining bandwidth;
Step 8, the capacity in the path of recording capacity maximum and shortest delay and the company of each service quality rating bandwidth to be distributed Connect number, the connection generate the sample data sets being routed respectively, being routed each grade of service bandwidth to be distributed The sample data sets of number;
Step 9, checks that the connection number of remaining bandwidth, whether equal to 0, if being equal to 0, goes to step 11;If being not equal to 0, follow Ring, to step one, continues to select next path;
Step 10, exports the sample data sets being routed, the company being routed each grade of service bandwidth to be distributed Connect several sample data sets.
CN201610550240.8A 2016-07-13 2016-07-13 The system of selection of the route in real time of end-to-end communication network Pending CN106209631A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111555982A (en) * 2020-07-10 2020-08-18 武汉绿色网络信息服务有限责任公司 Method and system for intelligently routing message based on IPv6 extension header

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102780637A (en) * 2012-08-14 2012-11-14 虞万荣 Routing method for data transmission in space delay/disruption tolerant network
CN105376157A (en) * 2015-11-22 2016-03-02 东北大学 Method and device for routing path selection

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102780637A (en) * 2012-08-14 2012-11-14 虞万荣 Routing method for data transmission in space delay/disruption tolerant network
CN105376157A (en) * 2015-11-22 2016-03-02 东北大学 Method and device for routing path selection

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MAO-HSIUNG HUNG等: "A Real-Time Routing Algorithm for End-to-End Communication Networks with QoS Requirements", 《2016 THIRD INTERNATIONAL CONFERENCE ON COMPUTING MEASUREMENT CONTROL AND SENSOR NETWORK(CMCSN)》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111555982A (en) * 2020-07-10 2020-08-18 武汉绿色网络信息服务有限责任公司 Method and system for intelligently routing message based on IPv6 extension header

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Application publication date: 20161207