CN102724064B - Method for building network application simulation system - Google Patents

Method for building network application simulation system Download PDF

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CN102724064B
CN102724064B CN201210155340.2A CN201210155340A CN102724064B CN 102724064 B CN102724064 B CN 102724064B CN 201210155340 A CN201210155340 A CN 201210155340A CN 102724064 B CN102724064 B CN 102724064B
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node
network application
application system
popularity
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CN102724064A (en
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李一鹏
戴琼海
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Tsinghua University
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Abstract

The invention discloses a method for building a network application simulation system. The method comprises the following steps of: determining a bottom-layer configuration parameter and an application-layer configuration parameter of a network simulation system according to the requirement of the network simulation system; generating a bottom-layer physical network of the network simulation system according to the bottom-layer configuration parameter; building a network application system of the network simulation system according to the application-layer configuration parameter; and counting and visibly displaying the performance states of the network application system and the bottom-layer physical network when the simulation operates. According to the method disclosed by the embodiment of the invention, the method for building the network application simulation system is suitable for the building and the state monitoring of simulation platforms having various types of network application, and a solid argument basic platform is provided for proposing novel network application when the existing network application is guided to optimize at the same time.

Description

A kind of network application simulation system construction method
Technical field
The present invention relates to computer and internet arena, particularly a kind of network application simulation system construction method.
Background technology
Along with the fast development of internet, continue to bring out out many new application models and network configuration.Meanwhile, for solving the various challenges occurred in network application process, not only need to improve to meet new demand to existing procotol and algorithm, how to do some from the system layer of network application in the face of current the Internet and improve and change also one of content having become research institution and numerous scholar's research.In order to realize this two targets, the performance evaluation of network application system and emulation seem particularly crucial.
All there is certain defect in existing Network Simulation Software such as NS2, SSFNet, OPNET etc., main manifestations is:
(1) support to hierarchical network Topology g eneration is lacked.Current Network Simulation Software focuses on the support to different network protocol, ignores the generation of bottom topology.No matter be that NS2 or Matlab all needs, by third party software or user's generating network topology voluntarily, to comprise bunch distribution character etc. of the annexation of node, internodal transmission bandwidth and transmission delay and node.
(2) the primary support to application layer user behavior is lacked.Current Network Simulation Software depends on underlying protocol to a great extent, lacks the support to application layer user behavior.Especially, in social network analysis process, need the behavior pattern of user to be incorporated in the middle of the process of network simulation.Therefore, built in user behavior model seems very necessary.
(3) network simulation procedure and result have visual display more, and in large scale network simulation process, the more hardware resource of visual consumption and affect simulation efficiency.
Summary of the invention
The present invention is intended at least one of solve the problems of the technologies described above.For this reason, it is good that one object of the present invention is to propose a kind of universality, the network application simulation system construction method that simulation efficiency is high.
Comprise the steps: that S1. is according to the bottom configuration parameter of the demand determination network (WSN) emulation system of network (WSN) emulation system and application layer configuration parameter according to the network application simulation system construction method of the embodiment of the present invention; S2. according to the bottom physical network of bottom configuration parameter generating network analogue system; S3. the network application system of network (WSN) emulation system is built according to application layer configuration parameter; And during S4. simulation run, the performance state of statistics network application system and bottom physical network, and visual display.
In one embodiment of the invention, bottom configuration parameter comprises transmission bandwidth and transmission delay model between bottom-layer network node topology model, physical node location, physical network nodes.
In one embodiment of the invention, application layer configuration parameter comprises: the distribution of network application system type, application layer network node topological model, Internet resources popularity, Internet resources are at internodal storage mode, and the mode of access resources between node.
In one embodiment of the invention, configuration parameter is configured by graphic user interface Selection parameter; Or, be configured by the parameter configuration files of predetermined format.
In one embodiment of the invention, bottom-layer network node topology model is: random network topology, small-world network topology, or scales-free network topology.
In one embodiment of the invention, physical node location is: random distribution or heavytailed distribution.
In one embodiment of the invention, between physical network nodes, transmission bandwidth and transmission delay model are: constant distributes, be uniformly distributed, exponential distribution, or heavytailed distribution.
In one embodiment of the invention, network application system type is: based on the network application system of C/S structure, the network application system based on P2P structure, or, based on the little standing posture network application system of information fusion, parsing and issue structure.
In one embodiment of the invention, application layer network node topological model is: random network topology, small-world network topology, or scales-free network topology.
In one embodiment of the invention, Internet resources popularity is distributed as: equal popularity distribution or power-law distribution.
In one embodiment of the invention, Internet resources at internodal storage mode are: when network application system type is the network application system based on C/S structure, choose the node of the front X position of nodes angle value sequence as server, M kind resource in the average storage networking of each server, wherein, M represents in network the resource having M kind different, and X is positive integer; When network application system type is the network application system based on P2P structure, all nodes are as server, and M kind resource is stored in M server at random; When network application system type is the little standing posture network application system based on information fusion, parsing and issue structure, choose the maximum node of nodes angle value as head-end node, head-end node store M kind resource, select the node of the front Y position of nodes angle value sequence as little tiny node, the certain percentage subset of little tiny node store M kind resource, wherein, M represents in network the resource having M kind different, and Y is positive integer.
In one embodiment of the invention, between node, the mode of access resources is: when network application system type is the network application system based on C/S structure, and when Internet resources popularity is distributed as the distribution of equal popularity, then node accesses the resource of server stores nearby with equal probabilities, and transmits packet between server and node; When the network application system that network application system type is based on C/S structure, and when Internet resources popularity is distributed as power-law distribution, then node is stored in the resource on different server according to popularity probability access and transmits packet; When the network application system that network application system type is based on P2P structure, and when Internet resources popularity is distributed as equal popularity, then node accesses the resource of other nodes storage with equal probabilities, and transmits packet among the nodes; When the network application system that network application system type is based on P2P structure, and when Internet resources popularity is distributed as power-law distribution, then node stores resource on different nodes according to popularity probability access and transmits packet; When the little standing posture network application system that network application system type is based on information fusion, parsing and issue structure, and when Internet resources popularity is distributed as the distribution of equal popularity, then node accesses the resource of the little tiny node storage belonging to it with equal probabilities, and at transmitting data between nodes bag; Or when the little standing posture network application system that network application system type is based on information fusion, parsing and issue structure, and when Internet resources popularity is distributed as power-law distribution, then node is stored in the resource on different little tiny node according to popularity probability access and transmits packet.
In one embodiment of the invention, the Routing Protocol between physical network nodes is Shortest path routing agreement.
In one embodiment of the invention, the content of visual display comprises average transfer delay and the load of node average treatment between link average transmission load, node.
According to the network application simulation system construction method of the embodiment of the present invention, tool has the following advantages:
(1) universality is strong, and simulation system construction method proposed by the invention is conceived to user, resource two methods element and relation therebetween and portrays, and considers the application system framework of current internet main flow, therefore has very strong universality;
(2) level is strong, and method of the present invention has been separated physical network and application layer network in logic, first builds rational physical network, comprises node topology, transmission bandwidth, transmission delay etc.; Then from physical network, selected part node, as user node, and then builds application layer network, according in application layer network between user mutual access in logic instruct the data packet transmission in bottom physical network, more meet the truth of internet application;
(3) favorable expandability, method of the present invention can expand to the application scenarios of " user-resource " in any internet, according to embody rule scene setting parameter, as the access preference, resource popularity distribution etc. of user, can have extremely strong extensibility.
To sum up, the present invention constructs whole framework and the basic procedure of network application analogue system, can the emulation platform building of pervasive various network application type and Stateful Inspection, can be while instructing existing network optimizing application and propose new network application solid demonstration basic platform is provided.
The aspect that the present invention adds and advantage will part provide in the following description, and part will become obvious from the following description, or be recognized by practice of the present invention.
Accompanying drawing explanation
The present invention above-mentioned and/or additional aspect and advantage will become obvious and easy understand from the following description of the accompanying drawings of embodiments, wherein, Fig. 1 is the flow chart of the network application simulation system construction method according to the embodiment of the present invention.
Embodiment
Be described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the embodiment be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.On the contrary, embodiments of the invention comprise fall into attached claims spirit and intension within the scope of all changes, amendment and equivalent.
Below with reference to the accompanying drawings network application simulation system construction method according to the embodiment of the present invention is described.
Fig. 1 is the flow chart of the network application simulation system construction method according to the embodiment of the present invention.
As shown in Figure 1, the network application simulation system construction method of the embodiment of the present invention comprises the steps:
S101: according to bottom configuration parameter and the application layer configuration parameter of the demand determination network (WSN) emulation system of network (WSN) emulation system.Configuration parameter is the basis of formation of network application analogue system, and the reasonability of Selecting parameter greatly affects the anti-shake feasibility of network application system.The collocation method of configuration parameter be can be and is configured by graphic user interface (GUI) Selection parameter, or is configured by the parameter configuration files of predetermined format.
The content of configuration parameter is divided into bottom configuration parameter and application layer configuration parameter two class.Wherein, bottom configuration parameter comprises: transmission bandwidth and transmission delay model etc. between bottom-layer network node topology model, physical node location, physical network nodes; Application layer configuration parameter comprises: the distribution of network application system type, application layer network node topological model, Internet resources popularity, Internet resources are at internodal storage mode, and the mode of access resources between node.Now concrete lexical or textual analysis is carried out to each parameter.
Parameter a. bottom-layer network node topology model;
Parameter b. physical node location;
Transmission bandwidth and transmission delay model between parameter c. physical network nodes;
Parameter d. network application system type;
Parameter e. application layer network node topological model;
Parameter f. Internet resources popularity distributes;
Parameter g. Internet resources are at internodal storage mode; And
The mode of parameter h. node visit resource.
Wherein, parameter a bottom-layer network node topology model can be random network topology, small-world network topology, or scales-free network topology.
Particularly, the building method of random network topology is: connect with Probability p between any two nodes in network.The building method of small-world network topology is: first all nodes form nearest coupled network in interconnection network, disconnect the every bar limit in network with Probability p, then this edge is reconnected to other node; In the process reconnecting limit, do not allow reconnecting and certainly connecting of limit; Nearest coupled network refers to the network surrounding ring-type by N number of node, and each K/2 node that wherein each node is adjacent with its left and right is connected, and wherein K is even number; The building method of scales-free network topology is: first generate and include m 0(m 0<N) individual node full-mesh network, then increases a node at every turn, grows m bar limit (m≤m from this node newly increased simultaneously 0); These limits are with Probability p ibe connected in network on original node, wherein k ifor the angle value of original node i.
The position distribution of parameter b physical network nodes can be random distribution or heavytailed distribution.
Particularly, random distribution refers in network topology plane, the position random distribution of node; Heavytailed distribution refers to and first network topology plane is divided into some rectangular areas, and each rectangular area comprises several nodes meeting heavytailed distribution number, and in each rectangular area, the position random distribution of node.
Between parameter c physical network nodes transmission bandwidth and transmission delay model can be that constant distributes, is uniformly distributed, exponential distribution or heavytailed distribution.
Particularly, the network set up between constant distribution and physical node connects its transmission bandwidth and postpones to be certain constant of setting; Be uniformly distributed is that the network set up between physical node connects its transmission bandwidth and deferred gratification is uniformly distributed, namely the network set up between all physical nodes connects its transmission bandwidth and meets being uniformly distributed between bandwidth minimum (bwMin) and maximum value bandwidth (bwMax), and transmission delay meets being uniformly distributed at transmission delay minimum value (delayMin) and transmission delay maximum (delayMax); The network set up between exponential distribution and physical node connects its transmission bandwidth and deferred gratification parameter is the exponential distribution of λ; The network set up between heavytailed distribution and physical node connects its transmission bandwidth and postpones to obey cumulative distribution function is F (x)=1-(1+x) probability Distribution Model, be heavytailed distribution.
Parameter d network application system type can comprise: based on C/S(Client/Server, user/server) structure network application system, based on P2P(Peer-to-Peer, point-to-point interconnection) network application system of structure, or based on the little standing posture network application system of information fusion, parsing and issue structure.
Particularly, based on the network application system of C/S system configuration, carry out information resources share and transmission between its user and server, server with information resource, user and server connect Please are filed a request with obtaining information resource, as Http application etc.Based on the network application system of P2P system configuration, bidirectional information resource-sharing and transmission is carried out between its network user, all users of participation network application are the supplier of Internet resources, also be information resources obtain taker, user is connected initiation resource searching message by logic each other, know resource position, is established a communications link and transfer resource with resource provider, typically applies as P2P shared file system, P2P Stream Media Application etc.Based on information fusion, the little standing posture network application system resolving and issue structure adopts head end aggregation information, resolve and be published to small station, local, user is connected with small station and transmission information, such as, head end crawls the important information resource of main stream website, carry out web analysis and remove redundant information, and the small station issue resource of heterogeneous networks position is positioned at by proprietary chain road direction, storage and maintenance is carried out after receiving resource in small station, and issue updating message to the network user in subrange, the network user and small station connect and carry out resource transmission, typical application is as 4ANet system etc.
Parameter e application layer network node topological model can be random network topology, small-world network topology, or scales-free network topology.
Particularly, the building method of random network topology is: connect with Probability p between any two nodes in network.The building method of small-world network topology is: first all nodes form nearest coupled network in interconnection network, disconnect the every bar limit in network with Probability p, then this edge is reconnected to other node; In the process reconnecting limit, do not allow reconnecting and certainly connecting of limit; Nearest coupled network refers to the network surrounding ring-type by N number of node, and each K/2 node that wherein each node is adjacent with its left and right is connected, and wherein K is even number; The building method of scales-free network topology is: first generate and include m 0(m 0<N) individual node full-mesh network, then increases a node at every turn, grows m bar limit (m≤m from this node newly increased simultaneously 0); These limits are with Probability p ibe connected in network on original node, wherein k ifor the angle value of original node i.
The distribution of parameter f Internet resources popularity can be the distribution of equal popularity or power law distribution.
Particularly, suppose the resource having M kind different in network, its popularity distribution mode can meet the distribution of equal popularity, and namely the popularity of often kind of resource is all identical, and namely the probability that is accessed to of often kind of resource is equal; Also can be power-law distribution, wherein the popularity of resource be r i(i=1 ..., M), its distribution probability (or claiming accessed probability) meets power law relation p (r)=cr .
Parameter g Internet resources are associated with simulating scenes pattern (scene) at internodal storage mode, that is, according to network application system type is different, Internet resources storage mode is different.
Particularly, when network application system type is the network application system based on C/S structure, choose the node of the front X position of nodes angle value sequence as server, M kind resource in the average storage networking of each server, wherein, M represents in network the resource having M kind different, and X is positive integer; When network application system type is the network application system based on P2P structure, all nodes are as server, and M kind resource is stored in M server at random; When network application system type is the little standing posture network application system based on information fusion, parsing and issue structure, choose the maximum node of nodes angle value as head-end node, head-end node store M kind resource, nodes angle value is selected to sort former nodes as little tiny node (such as, before sequence, the node of Y position is as little tiny node, Y is positive integer) the certain percentage subset of little tiny node store M kind resource, wherein, M represents in network the resource having M kind different.
The mode of parameter h. node visit resource is different according to network application system type and popularity distribution pattern.
Particularly, can roughly be divided into six kinds of situation: g1. when network application system type be network application system based on C/S structure, and when Internet resources popularity is distributed as the distribution of equal popularity, then node accesses the resource of server stores nearby with equal probabilities, and transmits packet between server and node; G2. when the network application system that network application system type is based on C/S structure, and when Internet resources popularity is distributed as power-law distribution, then node is stored in the resource on different server according to popularity probability access and transmits packet; G3. when the network application system that network application system type is based on P2P structure, and when Internet resources popularity is distributed as equal popularity, then node accesses the resource of other nodes storage with equal probabilities, and transmits packet among the nodes; G4. when the network application system that network application system type is based on P2P structure, and when Internet resources popularity is distributed as power-law distribution, then node stores resource on different nodes according to popularity probability access and transmits packet; G5. when the little standing posture network application system that network application system type is based on information fusion, parsing and issue structure, and when Internet resources popularity is distributed as the distribution of equal popularity, then node accesses the resource of the little tiny node storage belonging to it with equal probabilities, and at transmitting data between nodes bag; Or g6. when network application system type be the little standing posture network application system based on information fusion, parsing and issue structure, and when Internet resources popularity is distributed as power-law distribution, then node is stored in the resource on different little tiny node according to popularity probability access and transmits packet.
S102: according to bottom configuration parameter, the bottom physical network of generating network analogue system.Particularly, bottom physical network is generated according to the basic network parameter such as node location distribution, connected mode, transmission bandwidth, transmission delay in parameter configuration and topological structure.
Bottom physical network is by node location, internodal connected mode or be called that several important elements such as topological structure, internodal transmission bandwidth and transmission delay form.The whether accurate authenticity affecting reflected network performance of physical network modeling.
In one embodiment of the invention, in normalized scope, the physical network nodes of some is placed according to being uniformly distributed with heavytailed distribution.
Node topology structure generates according to the network node topological model parameter (nodeTopology) in parameter configuration.Particularly, if select random network, then connect with Probability p between any two nodes in network.If selection small-world network, then first all nodes form nearest coupled network in interconnection network, disconnect the every bar limit in network with Probability p, then this edge are reconnected to other node.In the process reconnecting limit, do not allow reconnecting and certainly connecting of limit.Nearest coupled network refers to the network surrounding ring-type by N number of node, and each K/2 node that wherein each node is adjacent with its left and right is connected, and wherein K is even number.If selection scales-free network, then first generate and include m 0(m 0<N) individual node full-mesh network, then increases a node at every turn, grows m bar limit (m≤m from this node newly increased simultaneously 0).These limits are with Probability p ito be connected in network on original node.Wherein
p i = k i &Sigma; j = 1 N k j ,
K ifor the angle value of original node i.
Internodal transmission bandwidth and transmission delay generate according to the physical network bandwidth distributed model (bwModel) in parameter configuration and transmission delay distributed model (delayModel) and relevant parameter.Particularly, if selectivity constant distribution, then the network set up between all physical nodes connects its transmission bandwidth and postpones all equal.Be uniformly distributed if select, the network then set up between all physical nodes connects its transmission bandwidth and meets being uniformly distributed between bandwidth minimum (bwMin) and maximum value bandwidth (bwMax), and transmission delay meets being uniformly distributed at transmission delay minimum value (delayMin) and transmission delay maximum (delayMax).If selection index distributes, then the network set up between all physical nodes connects its transmission bandwidth and deferred gratification parameter is the exponential distribution of λ.If selection heavytailed distribution, then the network set up between all physical nodes connects its transmission bandwidth and postpones to obey cumulative distribution function is F (x)=1-(1+x) probability Distribution Model, i.e. heavytailed distribution.
S103: according to application layer configuration parameter, builds the network application system of network (WSN) emulation system, distributes and store information resources, generate internodal logical access relation according to network application type between node.Particularly, after establishing suitable bottom physical network, from existing physical node, selection portion partial node is as the server node in application layer network and user node.Application layer network is the virtual logical network be erected on bottom physical network, its node comprised is necessary being in physical network, and the logical access relation between the node produced because of heterogeneous networks application instructs the transmission of True Data bag in physical network.
First distribute according to the popularity of parameter configuration Internet resources.To suppose in network the resource that total M kind is different, its popularity distribution mode is: if select equal popularity to distribute, then each resource popularity is identical, and the probability that often kind of resource is accessed to is equal.If selection power-law distribution, then each resource popularity distribution probability density meets power law relation p (r)=cr .
Then distribute and storage resources between the node of network application system according to different network application systems.
If select Http, then choose network application system interior joint angle value and sort the node of former as server, each server average store M kind resource.If select P2P, then all nodes are the server node storing information resources, and M kind resource is stored in M node at random.If select 4ANet, then choose node that in network application system, angle value is maximum as head-end node, store M kind resource, angle value is selected to sort the node of former as little tiny node, its storage resources is the certain percentage subset (such as 30%) of head-end node resource, may there is common factor between the information resources that now each small station stores.
Finally generate internodal logical access relation according to network application type: if select Http: if each resource popularity is identical, then node accesses the resource of server stores nearby with equal probabilities, and transmits packet between server and node; If each resource popularity is power-law distribution, is then stored in the resource on different server according to popularity probability access and transmits packet.If select P2P: if each resource popularity is identical, then node accesses the resource of other nodes storage with equal probabilities, and at transmitting data between nodes bag; If each resource popularity is power-law distribution, then stores resource on different nodes according to popularity probability access and transmit packet.If select 4ANet: if each resource popularity is identical, then node (user) accesses the resource of the little tiny node storage belonging to it with equal probabilities, and at transmitting data between nodes bag; If each resource popularity is power-law distribution, is then stored in the resource on different small station according to popularity probability access and transmits packet.
Bottom physical network carry out True Data bag transmission time, its routing policy can adopt Dijkstra(Shortest path routing) etc. some common Routing Protocols.
S104: the performance state of adding up described network application system and described bottom physical network, and visual display.
Concrete, according to the data transmission scenarios of each link of bottom physical network, can record and show (on average) traffic load when transmitting data of each bar link; Statistics wraps in the residence time in multilink, can record and show internodal (on average) transmission delay; The node (server node) adding up each storage resources, by the data packet number sent in other node visit processes, can record and show its (on average) process load.
Pervasive network application simulation system construction method according to the embodiment of the present invention at least has following beneficial effect:
(1) universality is strong, and simulation system construction method proposed by the invention is conceived to user, resource two methods element and relation therebetween and portrays, and considers the application system framework of current internet main flow, therefore has very strong universality;
(2) level is strong, and method of the present invention has been separated physical network and application layer network in logic, first builds rational physical network, comprises node topology, transmission bandwidth, transmission delay etc.; Then from physical network, selected part node, as user node, and then builds application layer network, according in application layer network between user mutual access in logic instruct the data packet transmission in bottom physical network, more meet the truth of internet application;
(3) favorable expandability, method of the present invention can expand to the application scenarios of " user-resource " in any internet, according to embody rule scene setting parameter, as the access preference, resource popularity distribution etc. of user, can have extremely strong extensibility.
Should be understood that method of the present invention is not only applicable to mentioned typical apply Http, P2P and 4ANet, also can be used for other internet application systems.
In the description of this specification, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means to describe in conjunction with this embodiment or example are contained at least one embodiment of the present invention or example.In this manual, identical embodiment or example are not necessarily referred to the schematic representation of above-mentioned term.And the specific features of description, structure, material or feature can combine in an appropriate manner in any one or more embodiment or example.
Although illustrate and describe embodiments of the invention, for the ordinary skill in the art, be appreciated that and can carry out multiple change, amendment, replacement and modification to these embodiments without departing from the principles and spirit of the present invention, scope of the present invention is by claims and equivalency thereof.

Claims (12)

1. a construction method for network application analogue system, is characterized in that, comprises the steps:
S1. bottom configuration parameter and the application layer configuration parameter of described network (WSN) emulation system is determined according to the demand of described network (WSN) emulation system;
S2. generate the bottom physical network of described network (WSN) emulation system according to described bottom configuration parameter, wherein, described bottom configuration parameter comprises: transmission bandwidth and transmission delay model between bottom-layer network node topology model, physical node location, physical network nodes;
S3. the network application system of described network (WSN) emulation system is built according to described application layer configuration parameter, wherein, described application layer configuration parameter comprises: the distribution of network application system type, application layer network node topological model, Internet resources popularity, Internet resources are at internodal storage mode, and the mode of access resources between node; And
S4., during simulation run, the performance state of described network application system and described bottom physical network is added up, and visual display,
Wherein, step S2 specifically comprises: according to being uniformly distributed the physical network nodes of placing some with heavytailed distribution in normalized scope; Node topology structure generates according to the network node topological model parameter in parameter configuration; Internodal transmission bandwidth and transmission delay generate according to the physical network bandwidth distributed model in parameter configuration and transmission delay distributed model and relevant parameter,
Wherein, step S3 specifically comprises: first distribute according to the popularity of parameter configuration Internet resources; Then distribute and storage resources between the node of network application system according to different network application systems; Finally generate internodal logical access relation according to network application type.
2. the construction method of network application analogue system according to claim 1, is characterized in that, described configuration parameter is configured by graphic user interface Selection parameter; Or, be configured by the parameter configuration files of predetermined format.
3. the construction method of network application analogue system according to claim 2, is characterized in that, described bottom-layer network node topology model is: random network topology, small-world network topology, or scales-free network topology.
4. the construction method of network application analogue system according to claim 3, is characterized in that, described physical node location is: random distribution or heavytailed distribution.
5. the construction method of network application analogue system according to claim 4, is characterized in that, between described physical network nodes, transmission bandwidth and transmission delay model are: constant distributes, be uniformly distributed, exponential distribution, or heavytailed distribution.
6. the construction method of network application analogue system according to claim 5, it is characterized in that, described network application system type is: based on the network application system of C/S structure, the network application system based on P2P structure, or, based on the little standing posture network application system of information fusion, parsing and issue structure.
7. the construction method of network application analogue system according to claim 6, is characterized in that, described application layer network node topological model is: random network topology, small-world network topology, or scales-free network topology.
8. the construction method of network application analogue system according to claim 7, is characterized in that, described Internet resources popularity is distributed as: equal popularity distribution or power-law distribution.
9. the construction method of network application analogue system according to claim 8, is characterized in that, described Internet resources at internodal storage mode are:
When described network application system type is the described network application system based on C/S structure, choose the node of the front X position of nodes angle value sequence as server, M kind resource in the average storage networking of server described in each, wherein, M represents in network the resource having M kind different, and X is positive integer;
When described network application system type is the described network application system based on P2P structure, all nodes are as described server, and described M kind resource is stored in M described server at random;
When described network application system type is the described little standing posture network application system based on information fusion, parsing and issue structure, choose the maximum node of nodes angle value as head-end node, described head-end node stores described M kind resource, select the node of the front Y position of nodes angle value sequence as little tiny node, described little tiny node stores the certain percentage subset of described M kind resource, wherein, M represents in network the resource having M kind different, and Y is positive integer.
10. the construction method of network application analogue system according to claim 9, is characterized in that, between described node, the mode of access resources is:
When described network application system type is the described network application system based on C/S structure, and when described Internet resources popularity is distributed as described equal popularity distribution, then described node accesses the resource of described server stores nearby with equal probabilities, and transmits packet between described server and described node;
When described network application system type is the described network application system based on C/S structure, and when described Internet resources popularity is distributed as described power-law distribution, then described node is stored in the resource on different described server according to popularity probability access and transmits packet;
When described network application system type is the described network application system based on P2P structure, and when described Internet resources popularity is distributed as described equal popularity, then described node accesses the resource of node storage described in other with equal probabilities, and transmits packet between the nodes;
When described network application system type is the described network application system based on P2P structure, and when described Internet resources popularity is distributed as described power-law distribution, then described node is stored in the resource on different described node according to popularity probability access and transmits packet;
When described network application system type is the described little standing posture network application system based on information fusion, parsing and issue structure, and when described Internet resources popularity is distributed as described equal popularity distribution, then described node accesses the resource of the described little tiny node storage belonging to it with equal probabilities, and at described transmitting data between nodes bag; Or
When described network application system type is the described little standing posture network application system based on information fusion, parsing and issue structure, and when described Internet resources popularity is distributed as described power-law distribution, then described node is stored in the resource on different described little tiny node according to popularity probability access and transmits packet.
The construction method of 11. network application analogue systems according to claim 10, is characterized in that, the Routing Protocol between physical network nodes is Shortest path routing agreement.
The construction method of 12. network application analogue systems according to claim 11, is characterized in that, the content of described visual display comprises average transfer delay and the load of node average treatment between link average transmission load, node.
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CN103020197B (en) * 2012-12-04 2015-07-08 无锡职业技术学院 Grid simulation platform and grid simulation method
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CN104660463B (en) * 2015-01-22 2016-04-13 贵州电网公司信息通信分公司 A kind of large-scale synthesis data network network analog analogue system based on NS-3
CN104954166B (en) * 2015-04-27 2019-03-12 北京交通大学 A kind of hardware based network (WSN) emulation system and emulation mode
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CN115473828B (en) * 2022-08-18 2024-01-05 阿里巴巴(中国)有限公司 Fault detection method and system based on simulation network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101841839A (en) * 2010-01-22 2010-09-22 华中科技大学 Wireless sensor network (WSN) emulation system
CN102185916A (en) * 2011-04-27 2011-09-14 西安电子科技大学 Method for establishing sensor network with small world and scale-free properties
CN102457425A (en) * 2010-10-25 2012-05-16 北京系统工程研究所 Large-scale virtual network topology generation method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8582470B2 (en) * 2007-03-12 2013-11-12 Telefonaktiebolaget L M Ericsson (Publ) Arrangement and method relating to network management

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101841839A (en) * 2010-01-22 2010-09-22 华中科技大学 Wireless sensor network (WSN) emulation system
CN102457425A (en) * 2010-10-25 2012-05-16 北京系统工程研究所 Large-scale virtual network topology generation method
CN102185916A (en) * 2011-04-27 2011-09-14 西安电子科技大学 Method for establishing sensor network with small world and scale-free properties

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