CN108183826A - A kind of Multiscale Fusion network simulation duty mapping method under isomerous environment - Google Patents
A kind of Multiscale Fusion network simulation duty mapping method under isomerous environment Download PDFInfo
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- CN108183826A CN108183826A CN201711466893.9A CN201711466893A CN108183826A CN 108183826 A CN108183826 A CN 108183826A CN 201711466893 A CN201711466893 A CN 201711466893A CN 108183826 A CN108183826 A CN 108183826A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention discloses a kind of Multiscale Fusion network simulation duty mapping methods under isomerous environment, solve deployment issue of the virtual network topology under the computing cluster environment of isomery, and the method step includes：Read in heterogeneous computing environment；Edge router in topology and host node mark are virtualized into map section for lightweight, are fusion virtualization map section by remaining node label；According to each Server throughput threshold value, mapping lightweight virtualization map section interior joint is virtualized with lightweight；Calculate the load balance parameter of remaining each server, fusion map section interior joint distributed using multilevel scheme partitioning algorithm, judge server whether redundancy, optimized using different optimization algorithms according to result and rationally mapped.The present invention ensures that the load balance between computing cluster simultaneously reduces telecommunication, the performance of large scale network emulation is promoted, while be with good expansibility to large-scale network topological and scalability, available for every network research and Experimental Network.
Description
Technical field
The present invention relates to networks simulation technology fields, are imitated more particularly to the Multiscale Fusion network under a kind of isomerous environment
True duty mapping method.
Background technology
Currently, the cloud platform based on virtualization becomes the mainstream support platform of network simulation：With traditional network analogue technique
Compare, which is capable of providing more life-like simulated environment, compared with object test bed, the technology can with it is low-down into
This simulates large scale network easily.Network and information system security evaluation platform is network security assessment and computer system
The powerful support of security evaluation, networks simulation technology are the foundation stones of entire platform.It is needed towards extensive, high fidelity network emulation
Will, trend has been become based on cloud platform and the emulation technology of virtualization.It is fully virtualized using KVM as representative, KVM virtualization technology according to
Rely physical cpu and memory, be hardware-level, it is powerful.Using DOCKER containers as representing in lightweight virtualization, utilize
LXC realizes the function of similar KVM, can be supplied to the more computing resources of user.DOCKER routers and KVM routers respectively have
Quality, generally speaking, KVM handling capacities are high, and delay is short, and performance is stablized, but since KVM routers are in the situation for ensureing normal work
Lower startup number is limited by memory size and logic CPU are several, so the KVM routers that a calculate node can start
Number is less；And DOCKER router startup speed is fast, is not limited by memory size and CPU number, a high-performance calculation section
Thousands of DOCKER routers can be run on point simultaneously, and in the case where multiple DOCKER work, itself can accomplish that load is equal
Weighing apparatus, but performance is influenced, and handling capacity is small by number is started, and delay is slightly long.
Invention content
To take into account lightweight virtualization and the fully virtualized respective advantage in terms of simulation scale, emulation verisimilitude, this hair
It is bright to be based on OpenStack cloud platforms, a kind of Multiscale Fusion network simulation duty mapping method under isomerous environment is proposed, by institute
The network topology to be emulated is divided into lightweight virtualization map section and fusion virtualization map section, and is directed to different map sections,
Network topology is rationally mapped by the multilevel scheme dividing tool METIS of optimization respectively.
Multiscale Fusion network simulation duty mapping method under the isomerous environment includes the following steps：
S1：The virtual network topology T (R, E) emulated needed for reading, E are the link E (R between routingi,Rj) represent, R
For routing node set R={ R1,…,Ri,…RN, N be topological router number, node weights W (Ri) represent, link weight
Value WE(Ri,Rj),Rj∈ R are represented；
S2：The consistent server of CPU, memory and handling capacity in the server cluster of heterogeneous computing environment is divided into one
Group, server group number are Sn, every group of heterogeneous computing environment parameter are extracted successively, including server group number Sn, every group of calculate node
CPU core number, CPUi, i=1,2 ..., Sn, memory size Memoryi, i=1,2 ..., Sn, throughput threshold
Throughputi, the number Num of i=1,2 ..., Sn and every group of computing environmenti, i=1,2 ..., Sn, the total number of server
S3：Nonterminal router node in virtual network topology is divided into fusion virtualization map section T ' (R, E), T '
Middle routing number is NT’, remaining node division is lightweight virtualization map section T " (R, E), and it is N that number is route in T "T”；
S4：According to the throughput threshold Throughput of each serveri, T " (R, E) is drawn using multilevel scheme partitioning algorithm
It is divided into T "={ T "1,…,T”i,…,T”M, wherein, M virtualizes server number used in map section, T " for lightweighti=
{Ri1,Ri2,……Rixi, xiFor T "iIn router number,AndT”iIn all nodes
Link bandwidth and the throughput threshold Throughput no more than i-th of server for carrying this partial-topologyi, i.e.,Emulation T " (R, E) interior joint is virtualized with lightweight；
S5：The server distributed is rejected, CPU, memory and handling capacity in remaining server cluster is consistent
Server is divided into one group, and server group number is S, extracts every group of heterogeneous computing environment parameter successively, including server group number S, often
The CPU core number of group calculate node, CPUi, i=1,2 ..., S, memory size Memoryi, i=1,2 ..., S, throughput threshold
Throughputi, the number Num of i=1,2 ..., S and every group of computing environmenti, i=1,2 ..., S, the total number of server
S6：Calculate the load balance parameter of remaining Ns-M server
Judge server whether redundancy, that is, meetStep S7 is performed if redundancy, if being unsatisfactory for
Perform step S8；
S7：According to the load balance parameter LB of each serveri, with multilevel scheme partitioning algorithm by T’(R, E) be divided into T '=
{T’1,…,T’i,…,T’n, wherein n isJust over NTiWhen, the number of server used is optimized using full mapping
Algorithm optimizes result, and result is emulated using fully virtualized；
S8：According to the load balance parameter LB of each serveri, with multilevel scheme partitioning algorithm by T ' (R, E) be divided into T '=
{T’1,…,T’i,…,T’n, whereinResult is optimized using elasticity mapping optimization algorithm, and will
As a result it is emulated by the way of virtualization is merged with lightweight using fully virtualized；
I involved in above-mentioned steps, j do not have specific physical significance and the connection that is independent of each other, only represent belonging in range from
So number.
Further, the full mapping optimization algorithm described in step S7 (i.e. calculate by the fully virtualized mapping optimization of nonterminal router
Method) include the following steps：
S7.1, the server T ' that mapping tasks in the server for mapping current results exceed load balance is foundi(T’i∈
T’)；
S7.2, T ' is extracted successivelyiThe node R of middle mappingi, RiSelection with T 'iIt is middle there are remote link and point power it is minimum
Node is first；
S7.3, do not reach load balance server T 'j(T’j∈ T ') in match and RiThere are the node Rs of linkj；
S7.4, by node RiIt migrates to the server T ' for not reaching load balancejIn；
If S7.5, all T 'iThe node of middle mapping with remaining do not reach load balance server in all nodes not
There are link, then by T 'iIt is middle there are remote link and the minimum node R of point poweriIt migrates to the server T ' for not reaching load balancej
In.
Specifically, (i.e. lightweight is virtualized merges mapping to the elasticity mapping optimization algorithm described in step S8 with fully virtualized
Optimization algorithm) include the following steps：
S8.1, the server T ' that mapping tasks in the server for mapping current results do not reach load balance is foundi(T’i∈
T’)；
S8.2, T ' is extracted successivelyiThe node R of middle mappingi；
S8.3, in the server T ' beyond load balancej(T’j∈ T ') in match and RiThere are the node Rs of linkj, Rj's
It chooses with T 'jThe middle node there are remote link and point power minimum is first；
S8.4, by node RjIt migrates to the server T ' for not reaching load balanceiIn；
If S8.5, all T 'iThe node of middle mapping with remaining beyond load balance server in all nodes not
There are links, then will be beyond the server T ' of load balanceiIt is middle there are remote link and the minimum node R of point powerjIt migrates to service
Device T 'iIn.
Beneficial effects of the present invention are as follows：
1st, the advantage maps virtual network topology of two kinds of virtualizations is made full use of, is reduced in the case where proof load balances
Telecommunication amount between computing cluster can effectively improve the load balancing degrees that virtual network maps under heterogeneous computing environment；
2nd, in the slightly insufficient mapping that can also complete network topology of calculate node, algorithm has flexible well
Property；
3rd, algorithm has good scalability, is opened up suitable for large scale scale heterogeneous computing environment and large-scale virtual network
It flutters, and computation complexity is relatively low；
Description of the drawings
Fig. 1 is the Multiscale Fusion network simulation duty mapping method flow diagram under a kind of isomerous environment.
Fig. 2 is 60 node network topologies used in the embodiment of the present invention.
Fig. 3 is 60 node topology degre e of load balancing comparison diagrams.
Fig. 4 is 60 node topology remote link traffic comparison diagrams.
Fig. 5 is each calculate node remote link traffic comparison diagram of 60 node topologies.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described further.
The present invention can be used for the network analog task load balance under heterogeneous computing environment, promote performance of network simulation, this
Invention the described method comprises the following steps：
In step S1, the virtual network topology of reading is generated by GT-ITM, has 30 routing nodes, and to every in topology
6 host nodes of node link that one degree is 1.
In step S2, every group of computing environment parameter of reading includes server group number Sn, the CPU core number of every group of calculate node
CPUi, memory size Memoryi, throughput threshold ThroughputiAnd the number Num of every group of computing environmenti, wherein i=1,
2 ..., Sn.
The OpenStack of this example deployment includes a control node, a network node and seven calculate nodes.Seven
In calculate node comprising three 24 core 16G throughput thresholds be about the calculate node of 25000 (10^6bit/sec), two 12
Core 16G throughput thresholds be about 21000 (10^6bit/sec) calculate node and two 24 core 32G throughput thresholds it is big
The calculate node of about 26000 (10^6bit/sec).Server group number Sn=3, wherein, the parameter of first group of server is
CPU1=24, Memory1=16, Throughput1=25000, Num1=3；The parameter of second group of server is CPU2=12,
Memory2=16, Throughput2=21000, Num2=2；The parameter of third group server is CPU3=24, Memory3=
32, Throughput3=26000, Num3=2；
In step S3, the end router node in virtual network topology and its connected host node are divided into light weight
Grade virtualization map section Tl(R, E), TlMiddle routing number NTl=5, remaining node division to fusion virtualization map section Ti(R, E),
TiMiddle routing number NTi=25；
In step S4, according to the throughput threshold of each server, by Tl(R, E) is divided into Tl={ Tl1,…,Tli,…,
TlM, virtualize mapping T with lightweightl(R, E) interior joint.In the virtual network topology of 60 nodes, terminal routing is always handled up
AmountSo division number M=of lightweight virtualization map section
1.In large-scale virtual network topology, lightweight virtualizes the division number of map section
In step S5, the load balance parameter LB of remaining each server1=4, LB2=4, LB3=8,Server redundancy performs S6.
In step S6, by the list (L of the load balance parameter composition of remaining each serverWs={ 4,4,4,4,8,8 }) make
For weight, with multilevel scheme partitioning algorithm by Ti(R, E) initial division is Ti={ Ti1,…,Tii,…,TiN, wherein N=6 is divided
When every group of server proportionThen result is optimized using full mapping optimization algorithm,
First, T is judged successivelyiiIn routing number NRiWhether meetBy the result T for the condition that is unsatisfactory foriiIt proposes, successively
Extract TiiIn node Ri, and find node RiWithResult TijIn node with the presence or absence of link, if there are chains
Road and point weights is minimum in all nodes there are link, then by node RiIt migrates to result TijIn.If traversing result is not deposited
In the node for meeting transition condition, then by TiiThere are remote link and the node Rs of point weights minimum in nodeiMigrate to untilResult TijIn, until all results are satisfied byResult is used into fully virtualized mapping；
In step S7, if remaining server number is insufficient, it is assumed that mapping lightweight virtualization map section interior joint needs
Server number M=2, the then list of the load balance parameter composition of remaining each server become LWs={ 4,4,4,8,8 }, with more
Grade figure partitioning algorithm is by Ti(R, E) initial division is Ti={ Ti1,…,Tii,…,TiN, whereinEvery group of server proportion during divisionIt is reflected using elasticity
It penetrates optimization algorithm to optimize result, first, judges T successivelyiiIn routing number NRiWhether meetIt will not
Meet the result T of conditioniiIt proposes, extracts T successivelyiiIn node Ri, and find node RiWithResult TijIn
Node RjWith the presence or absence of link, if being minimum in all nodes there are link there are link and point weights, by node RjMigration
To result TiiIn.If traversing result, there is no the nodes for meeting transition condition, then willResult TijIt is middle to exist far
Journey link and the node R for putting weights minimumjIt migrates to until TiiIn.Until all results are satisfied byIt and willResult mapped by the way of fully virtualized, willResult using mapping lightweight virtualization side
Formula maps.
So far the Multiscale Fusion network simulation duty mapping method under isomerous environment is completed, is realized under isomerous environment
The distribution of Multiscale Fusion network simulation task, the virtual network based on above-mentioned steps mapping can carry out various testing research works
Make.
It is deployable but be not limited to following test job based on the present embodiment：
(1) Liang Tai is looked for hang over the cloud host under different terminals router, two cloud hosts respectively on virtual network topology
Ping orders are performed mutually, the results showed that the network topology after mapping still has the ability of forwarding network flow；
(2) isomery algorithm more provided by the invention and the weighted load of isomorphism algorithm balance As shown in figure 3, degre e of load balancing is closer to zero, then more load balance.Due to isomorphism algorithm
The mapping of topology can not be carried out according to the weights of different server, so the server parameter L of isomorphism mapping algorithmWsIt can only choose
LWs=min (LWsi), the degre e of load balancing of this method is good compared with isomorphism algorithm.
(3) remote link that isomery algorithm more provided by the invention and isomorphism algorithm are formed, such as Fig. 4, this method it is remote
Journey link traffic is less than the remote link traffic of isomorphism algorithm formation.
It is above-mentioned the experimental results showed that, the present invention by providing the Multiscale Fusion network simulation task under a kind of isomerous environment
Mapping method realized under isomerous environment to the reasonable mapping of virtual network topology, ensure the load balance between computing cluster with
And the telecommunication between reduction computing cluster, Riming time of algorithm is reduced, promotes the performance of large scale network emulation, such as the following table 1
It is shown, while be with good expansibility to large-scale network topological, there is good stretch to the network topology emulated
Contracting, available for every network research and Experimental Network.
1 large-scale virtual network topology of table respectively assesses parameter comparison table
| Isomorphism algorithm | Isomery algorithm | |
| Telecommunication amount | 351230 | 366508 |
| Load balancing degrees | 35.089 | 0.019 |
| Riming time of algorithm | 11.854 | 2.393 |
Above-mentioned specific embodiment is merely to illustrate the present invention, and not limitation of the present invention, in the common skill in this field
In the knowledge that art personnel have, it can also be made a variety of changes under the premise of present inventive concept is not departed from.
Claims (3)
1. a kind of Multiscale Fusion network simulation duty mapping method under isomerous environment, which is characterized in that include the following steps：
S1：The virtual network topology T (R, E) emulated needed for reading, E are the link E (R between routingi,Rj) represent, R is road
By node set R={ R1,…,Ri,…RN, N be topological router number, node weights W (Ri) represent, link metric WE
(Ri,Rj),Rj∈ R are represented；
S2：The consistent server of CPU, memory and handling capacity in the server cluster of heterogeneous computing environment is divided into one group, clothes
Device group of being engaged in number is Sn, every group of heterogeneous computing environment parameter is extracted successively, including server group number Sn, the CPU of every group of calculate node
Check figure, CPUi, i=1,2 ..., Sn, memory size Memoryi, i=1,2 ..., Sn, throughput threshold Throughputi, i=
The number Num of 1,2 ..., Sn and every group of computing environmenti, i=1,2 ..., Sn, the total number of server
S3：Nonterminal router node in virtual network topology is divided into fusion virtualization map section T ' (R, E), T ' Roads
It is N by numberT’, remaining node division is lightweight virtualization map section T " (R, E), and it is N that number is route in T "T”；
S4：According to the throughput threshold Throughput of each serveri, T " (R, E) is divided into T " using multilevel scheme partitioning algorithm
={ T "1,…,T”i,…,T”M, wherein M virtualizes server number used in map section for lightweight, iFor T "iIn router number,AndT”iIn all sections
The link bandwidth of point and the throughput threshold Throughput no more than i-th of server for carrying this partial-topologyi, i.e.,Emulation T " (R, E) interior joint is virtualized with lightweight；
S5：The server distributed is rejected, by the consistent service of CPU, memory and handling capacity in remaining server cluster
Device is divided into one group, and server group number is S, every group of heterogeneous computing environment parameter is extracted successively, including server group number S, every group of meter
The CPU core number CPU of operator nodei, i=1,2 ..., S, memory size Memoryi, i=1,2 ..., S, throughput threshold
Throughputi, the number Num of i=1,2 ..., S and every group of computing environmenti, i=1,2 ..., S, the total number of server
S6：Calculate the load balance parameter of remaining Ns-M server
Judge server whether redundancy, that is, meetStep S7 is performed if redundancy, if being unsatisfactory for performing
Step S8；
S7：According to the load balance parameter LB of each serveri, with multilevel scheme partitioning algorithm by T ' (R, E) be divided into T '=
{T’1,…,T’i,…,T’n, wherein n isJust over NTiWhen, the number of server used is optimized using full mapping
Algorithm optimizes result, and result is emulated using fully virtualized；
S8：According to the load balance parameter LB of each serveri, with multilevel scheme partitioning algorithm by T ' (R, E) be divided into T '=
{T’1,…,T’i,…,T’n, whereinResult is optimized using elasticity mapping optimization algorithm, and will
As a result it is emulated by the way of virtualization is merged with lightweight using fully virtualized；
I involved in above-mentioned steps, j do not have specific physical significance and the connection that is independent of each other, only the natural number belonging to representative in range.
2. the Multiscale Fusion network simulation duty mapping method under isomerous environment as claimed in claim 1, feature exist
In the full mapping optimization algorithm described in step S7 includes the following steps：
S7.1, the server T ' that mapping tasks in the server for mapping current results exceed load balance is foundi(T’i∈T’)；
S7.2, T ' is extracted successivelyiThe node R of middle mappingi, RiSelection with T 'iIt is middle there are remote link and the minimum node of point power
For elder generation；
S7.3, do not reach load balance server T 'j(T’j∈ T ') in match and RiThere are the node Rs of linkj；
S7.4, by node RiIt migrates to the server T ' for not reaching load balancejIn；
If S7.5, all T 'iChain is not present in all nodes that the node of middle mapping is not reached with remaining in the server of load balance
Road, then by T 'iIt is middle there are remote link and the minimum node R of point poweriIt migrates to the server T ' for not reaching load balancejIn.
3. the Multiscale Fusion network simulation duty mapping method under isomerous environment as claimed in claim 1, feature exist
In the elasticity mapping optimization algorithm described in step S8 includes the following steps：
S8.1, the server T ' that mapping tasks in the server for mapping current results do not reach load balance is foundi(T’i∈T’)；
S8.2, T ' is extracted successivelyiThe node R of middle mappingi；
S8.3, in the server T ' beyond load balancej(T’j∈ T ') in match and RiThere are the node Rs of linkj, RjSelection
With T 'jThe middle node there are remote link and point power minimum is first；
S8.4, by node RjIt migrates to the server T ' for not reaching load balanceiIn；
If S8.5, all T 'iChain is not present in all nodes that the node of middle mapping exceeds with remaining in the server of load balance
Road, then will be beyond the server T ' of load balanceiIt is middle there are remote link and the minimum node R of point powerjIt migrates to server T 'i
In.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130218549A1 (en) * | 2012-02-16 | 2013-08-22 | Tt Government Solutions, Inc. | Dynamic time virtualization for scalable and high fidelity hybrid network emulation |
| US20140337674A1 (en) * | 2013-05-10 | 2014-11-13 | Nec Laboratories America, Inc. | Network Testing |
| CN105634902A (en) * | 2015-12-28 | 2016-06-01 | 北京经纬恒润科技有限公司 | Hardware In The Loop simulation system and communication method therefor |
| CN106506225A (en) * | 2016-11-29 | 2017-03-15 | 国网山西省电力公司忻州供电公司 | Electric power data network Hardware In The Loop Simulation Method |
| CN107483273A (en) * | 2017-09-22 | 2017-12-15 | 东南大学 | Consider the power information physical system emulation platform control method for coordinating controlled in real time |
-
2017
- 2017-12-29 CN CN201711466893.9A patent/CN108183826B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130218549A1 (en) * | 2012-02-16 | 2013-08-22 | Tt Government Solutions, Inc. | Dynamic time virtualization for scalable and high fidelity hybrid network emulation |
| US20140337674A1 (en) * | 2013-05-10 | 2014-11-13 | Nec Laboratories America, Inc. | Network Testing |
| CN105634902A (en) * | 2015-12-28 | 2016-06-01 | 北京经纬恒润科技有限公司 | Hardware In The Loop simulation system and communication method therefor |
| CN106506225A (en) * | 2016-11-29 | 2017-03-15 | 国网山西省电力公司忻州供电公司 | Electric power data network Hardware In The Loop Simulation Method |
| CN107483273A (en) * | 2017-09-22 | 2017-12-15 | 东南大学 | Consider the power information physical system emulation platform control method for coordinating controlled in real time |
Non-Patent Citations (2)
| Title |
|---|
| STEPHEN W. NEVILLE ; KIN FUN LI: ""The Rational for Developing Larger-scale 1000+ Machine Emulation-Based Research Test Beds"", 《2009 INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS》 * |
| 王聪,苑迎,彭三城,王兴伟,王翠荣,万聪: ""基于拓扑预配置的公平虚拟网络映射算法"", 《计算机研究与发展》 * |
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