CN101226484A - Method for automatically disposing simulation scene based on simulation gridding - Google Patents
Method for automatically disposing simulation scene based on simulation gridding Download PDFInfo
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Abstract
The invention discloses a simulation scene automatic deploy method based on simulation mesh, which comprises (1), describing scene, inputting federation and federation member information, generating a scene description document, (2), using a simulation mesh resource collecting tool to obtain the simulation mesh free resource, adding the checked free resource into an information list, timely refreshing the resource information list, (3), adding the resource match requests into request queue, calling out the requests from queue start and using federation as unit resource to be matched with the resource in the resource information list to generate deploy plan, (4), according to the deploy plan, processing scene automatic deploy. The inventive method can describe the details of simulation scene and support the federation simulation scene constructed by bridging federation members. The inventive method can select suitable simulation resource to simulate the application at macroscopic pint, reduce simulation scene deploy time, improve simulation resource utilization and improve simulation efficiency.
Description
Technical field
The invention belongs to the distributed computing technology in Computer Systems Organization field, be specifically related to the simulating scenes automatic deployment method based on emulation graticule, it is applicable to the distributed emulation based on grid.
Background technology
Computer Simulation is meant an integrated technology of coming the simulating reality world or virtual world with computer program.High Level Architecture (High Level Architecture, HLA) be the modeling and simulation technological frame of U.S. Department of Defense's nineteen ninety-five issue, this framework has become a kind of standard support framework of large-scale complex distributed emulation, it can provide the integrated environment that large-scale constructive simulation, virtual emulation, live emulation are integrated, and realizes interoperability, dynamic management, any object model of reusing and setting up different levels and granularity to communication, system and the parts of multiple spot between all kinds of analogue systems.
Yet along with the further in-depth that the HLA distributed simulation is used, extensive, fine granularity, distributed simulation is more and more higher to the requirement of the computing power of system, reliability, fault-tolerance for a long time.Merely there is the problem that the computational resource utilization factor is low, fault-tolerant ability is not enough in the analogue system based on the HLA framework, and lack balancing dynamic load ability, mass data be difficult to storage and effectively handle, simulating scenes disposes problem such as cooperation and interoperability mechanism shortage between loaded down with trivial details, Simulation Application.These problems become restriction emulation accurately, on a large scale, the bottleneck finished efficiently, become the obstacle that emulation develops for the modernized direction of feature to " networked, virtual, intelligent, collaborative, generalization ".Therefore need a kind of platform with better function, the support of aspects such as computational resource, information sharing is provided for analogue system.Since grid can will be distributed in the resources integration of diverse geographic location, fully share for various application provide a kind of, the resource environment for use of seamless fusion.Therefore, the distributed emulation based on grid becomes one of main path that overcomes the above problems.
Carried out research both at home and abroad based on the distributed simulation of grid.But because the distributivity of artificial resource and the characteristics of Simulation Application, make the Simulation Application under the emulation graticule be faced with some problems: at first, because the characteristic that the geographic distribution of artificial resource and distributed emulation are used will be a thing loaded down with trivial details, consuming time if simulating scenes is disposed by manually carrying out.Secondly, how Simulation Application guarantees that by a lot of federal member cooperation realizations numerous federal members are deployed on the artificial resource, and can not cause the unbalanced or resource collapse of artificial resource load, thereby does not influence the operation of Simulation Application.At last, for reaching the simulation result of optimization, simulation scale may need dynamic retractility, how to support the dynamic retractility of simulation scale.This all is the problem that emulation need solve under the grid environment, needs emulation graticule that a kind of simulating scenes automatic deployment method is provided.
Summary of the invention
The objective of the invention is deficiency at present emulation graticule research field, a kind of simulating scenes automatic deployment method based on emulation graticule is provided, this method can improve the automaticity of simulation process, the dynamic scalability and the artificial resource utilization factor of simulating scenes, has the characteristics of time-saving and efficiency.
Simulating scenes automatic deployment method based on emulation graticule provided by the invention, its step comprises:
(1) input includes the descriptor of scene title, simulation type and supplemental instruction etc., sets up new simulating scenes;
(2) import federal descriptor, comprise federal title, federal member quantity and federal descriptive information;
(3) upload the federation execution data file, parse object class and interactive class information in the federation, each federal member is managed the object class and the interactive class information of its corresponding publish/subscribe, draws federal descriptor, writes in the database;
(4) size of data of basic data size, object class and the interactive class of setting object class and interactive class quantity, object class; Management federal member, federal member cpu load and member's associated with path are set;
(5) whether setting completed to judge federal all federal member information, if enter step (6), otherwise change step (3) over to;
(6) whether setting completed to judge all federal information, if enter step (7), otherwise change step (2) over to;
(7) judged whether the bridge joint federal member according to the FED file,, set size of data, cpu load and the associated with path of bridge joint federal member object class and interactive class quantity, object class and interactive class if having; Otherwise change step (8) over to;
(8) the federal scene description information of federal scene description information of all that above steps is obtained and bridge joint gathers total scene description document of generation;
To the demand of CPU, internal memory, draw the demand of the network bandwidth by calculating interactive class quantity when (9) from scene description, extracting federal the operation;
(10) obtain the emulation graticule idling-resource by emulation graticule resource acquisition instrument, add the detection idling-resource to information table, regularly upgrade the resource information table;
(11) resource matched request is joined request formation begins to take out one by one request and is unit resource with the federation from head of the queue, mates with the resource in the resource information table in the step (10);
(12) resource matched request and idling-resource information are complementary, and draw resource matched scheme, and the simulating scenes that will dispose and respective resources are set up becomes a deployment table of comparisons automatically, obtains the automatic deployment scheme of simulating scenes;
(13) carrying out scene according to the automatic deployment scheme of simulating scenes disposes.
The inventive method is at first extracted in the simulating scenes each and is used demand for artificial resource; Obtain the resource situation of whole simulation grid again by the gridding resource monitoring; According to resource information, select suitable artificial resource for simulating scenes, realize that the simulating scenes of emulation graticule is disposed automatically.The present invention sets up a whole resource description, as the foundation of the optimum deployment scheme of coupling generation by analyzing the information of each federal member publish/subscribe object class and interactive class in each object in the federation execution data file and mutual Back ground Information, the federation.Particularly, the present invention has following effect and advantage:
1) improves emulation success ratio and simulation process automaticity
Because the emulation graticule platform is following that various resources are monitored to whole grid environment, drawn the global view of whole resource operating position, in conjunction with the conditions of demand of concrete Simulation Application to resource, can select only node deployment simulating scenes, can avoid the generation of an overweight situation of node load so effectively, can guarantee better that emulation carries out smoothly.Adopt simulating scenes to dispose automatically, can alleviate the workload that simulating scenes is disposed, improve the simulation process automaticity.
2) improve the artificial resource utilization factor
The resource that obtains the overall situation by monitoring grid is used view, can in time find the state of node.When new simulating scenes need be disposed, will preferentially select idling-resource to dispose, the effect of having played load balancing like this and having improved resource utilization ratio.
3) time-saving and efficiency
Because artificial resource disperses, dispose if manually carry out simulating scenes, particularly will a thing loaded down with trivial details, consuming time under the situation that simulation scale is big.Passing through the inventive method--simulating scenes is disposed automatically, can simplify the workload in the emulation set-up procedure.
4) the dynamic scalability of raising simulating scenes
The a certain parts of Simulation Application dynamically be disposed or unload to the inventive method can according to the dynamic change of simulating scenes, thereby support the dynamically scalable of simulating scenes.
Description of drawings
Fig. 1 describes overall construction drawing for simulating scenes;
Fig. 2 is the overview flow chart of simulating scenes automatic deployment method of the present invention;
Fig. 3 upgrades process flow diagram for the artificial resource information table;
Fig. 4 is the resource matched algorithm flow chart based on feedback.
Embodiment
Simulating scenes automatic deployment method based on emulation graticule does not have specific (special) requirements to hardware environment, and software environment is a grid platform.Wherein the most important thing is to draw federal accurately scene description by resolving federal FED (FederationExecution Data) file, and the renewal of grid available resource information.
The ultimate principle that scene description and resource requirement are obtained is:
In Simulation Application, each federation is the center with RTI (Run-time Infrastructure), federal member under each is federal is undertaken carrying out information translation by the bridge joint member between the federation and finishing interconnection alternately by RTI (Run-time Infrastructure).The object that federal member is followed corresponding federal FOM (Federation Object Model) definition carries out data sharing with mutual form.A complete simulating scenes is described and should be comprised:
(1) Lian Bang execution data message, i.e. FED (the Federation Execution Data) information that file comprised: object class, interactive class and attribute thereof, parameter and relevant routing information, object class proprietary data formats information, interactive class supplemental characteristic format information and digital coding mode;
(2) federal RTI (Run-time Infrastructure) server info comprises RTI server address, RTI (Run-time Infrastructure) version information;
(3) the detailed design information of each federal member in the federation comprises the object class of federal member publish/subscribe and property set, the interactive class of publish/subscribe and the example number of parameter set, object class and interactive class thereof, the time synchronized mechanism and the renewal frequency of federal member;
(4) bridge information between the multi-joint nation comprises bridge joint both sides' federal information and each federal corresponding bridge joint information about firms.
Scene description must comprise above four category informations, could intactly describe whole federal simulating scenes.Comprise internal memory, CPU and network bandwidth requirements in addition.Internal memory and cpu demand can be provided with by the user, and interactive class quantity obtains in network bandwidth requirements employing parsing FED (the Federation Execution Data) file.
The ultimate principle that the available resource information table upgrades:
The artificial resource adaptation reads the Resources list information when the coupling resource, deposit nearest information on services of visiting in the tabulation, as resource name, the nearest response time LRT of resource (Last Response Time), resource average response time ART (Average Response Time) and last information task time of submitting to.These information are foundations of artificial resource coupling, and the artificial resource coupling is made a strategic decision exactly which node resource is scene be deployed on thus.Obtaining new resource information by monitoring can be because the variation of state of resources changes, so need upgrade in time resource information in the resource table of artificial resource coupling makes it can reflect the up-to-date variation of artificial resource.
Information updating in the resource table comprises two aspects: be the renewal of existing resource information in the resource table on the one hand, this part finishes renewal according to the situation that the last resource is executed the task usually; Be that the artificial resource information that new performance is more excellent joins in the Resources list or according to the information in the information updating the Resources list in the information service on the other hand.This part could determine that can new resources add in the Resources list after need comparing with existing resource performance in the Resources list usually.In order to prevent that with out-of-date information updating the Resources list more last update resource time RUT (Recent Update Time) need be put down in writing in new capital at every turn.Resource in the Resources list after the renewal need sort according to performance and nearest access time, so that the artificial resource coupling can be chosen resource effectively.If the Resources list space is not enough, need those untapped within a certain period of time resource informations in the deletion tabulation.The present invention is further detailed explanation below in conjunction with accompanying drawing.
Scene description has been realized the complete description to federal simulating scenes, and its structure mainly comprises following several aspect as shown in Figure 1:
1) federation management: management emulation federation, federation execution data file FED (FederationExecution Data) obtain object class and interactive class quantity by resolving this document;
2) federal member management: the management federal member is each federal resource requirement parameters C PU, internal memory, network demand for loan and member's number of executions formulated according to resolving the federation execution data file results;
3) federal member publish/subscribe management: the publish/subscribe relation of each federal member object class/interactive class in the management federation;
4) attribute management: the issue of federal object class or the property set of subscription are managed;
5) bridge joint relation management: manage the bridge joint federal member attribute in a plurality of federations, and the relation of the bridge joint between a plurality of federation;
6) Back ground Information setting: the data volume size information of the object class/interactive class in the federation is set, and the attribute data amount size of object class is set.
Simulating scenes automatic deployment method of the present invention as shown in Figure 2, wherein, it is after scene description finishes that step (8) generates scene description document, generate the description document simconfig.xml of a multi-joint nation simulating scenes, comprise all information that must describe of simulating scenes and each federation demand information in this description document resource.
Illustrate the specific implementation process of step (10) and (11) below.
As shown in Figure 3, step (10) is regularly upgraded grid available resource information table according to following step:
(A1) timer interval break period t is set, default value is set to 60 seconds, and opens timer;
(A2) timer timing, the timer initiation countdown;
(A3) whether then judging timer, is then to jump to step (A4), otherwise jumps to step (A2);
(A4) judging whether the resource information table has remaining space, is then to jump to step (A2), otherwise jumps to step (A5);
(A5) obtain the grid idling-resource, with the resource record information in the detected new resources renewal resource information table;
(A6) read the resource record information that does not detect in the resource information table;
(A7) judge whether resource that this resource information writes down was not used in the time interval at 2t, was then to delete this resource;
(A8) judge in the resource information table whether also have the resource record that does not detect, be then to jump to step (A6), otherwise jump to step (A9);
(A9) judge whether artificial resource coupling is finished, be ending resource information table detecting operation regularly then, otherwise jump to step (A2).
As shown in Figure 4, step (11) is carried out resource matched according to following step:
(B1) the matching request formation that joins request: when resource matched request comes, request is joined resource matched formation;
(B2) get the resource matched request of head of the queue, obtain the resource requirement that this request federation execution needs;
(B3) in resource table, choose the resource collection that is complementary with demand, constitute candidate's resource collection R;
(B4) judge that whether this candidate's resource collection R is empty, is that sky then jumps to step (B5), otherwise jumps to step (B6);
(B5) upgrade the resource information table, new resources information is added in the resource information table, forwards step (B3) to;
(B6) resource of taking-up candidate resource set R sequencing table head of the queue;
(B7) resource parameters in the resource information table is set, will uses the resource items parameter value to be made as very, obtain selected resources use right;
(B8) generate the resource matched scheme of this resource request, and this resource matched time of record;
(B9) the request queue resource request that whether is untreated in addition has then to forward (B2) to, otherwise forwards (B10) to;
(B10) judge resource matched whether finishing, finish and then generate aggregate resource matching scheme, EO; Otherwise, jump to (B9) with the resource matched request formation that joins request.
Example:
In order to verify validity based on the simulating scenes automatic deployment method of emulation graticule, go up realization AGSP (Auto-deployment of Grid-based Simulation Platform) at distributed emulation graticule support platform GDSP (Grid based Distributed Simulation Platform), and compare with the GDSP of no AGSP.10 computing machines have been adopted in this experiment altogether, its performance index such as table 1, and wherein 2 respectively as resource matched server and RTI (Run-time Infrastructure) server, remains 8 suppliers as the emulation graticule resource.
The tabulation of table 1 experiment machine performance
| Machine name | CPU | Internal memory | Hard disk |
| The RTI server | P3 550M | 256M | 10.2G |
| Match server | P3 1.0G | 256M | 20G |
| Node 1 | P4 1.4G | 256M | 40G |
| Node 2 | P3 1.0G | 256M | 20G |
| Node 3 | P3 550M | 256M | 12G |
| Node 4 | P4 1.8G | 512M | 60G |
| Node 5 | C4 1.7G | 256M | 40G |
| Node 6 | Athlon 2.0G | 512M | 60G |
| Node 7 | P4 1.6G | 256M | 40G |
| Node 8 | Athlon 1.7G | 256M | 60G |
For the full test performance, four experiments have been carried out altogether.Scene is disposed the request number and is respectively 20,40,80 and 160 in four experiments.Test result is as shown in table 2, and wherein the computing formula of performance boost ratio is:
Dispose with the emulation graticule scene of GDSP acquiescence and to compare, adopt the simulating scenes automatic deployment method performance of AGSP higher, and performance improves bigger along with submitting to automatic deployment system to carry out the increase of the request number that scene disposes.
Table 2 deployment time comparison
| Scene is disposed quantity | T AGSP(ms) | T GDSP(ms) | The performance boost ratio |
| 20 | 19441 | 19892 | 2.3％ |
| 40 | 44596 | 47313 | 5.7％ |
| 80 | 100356 | 118359 | 15.2％ |
| 160 | 213694 | 381485 | 44.0％ |
Claims (3)
1. simulating scenes automatic deployment method based on emulation graticule, its step comprises:
(1) input includes scene title, simulation type and annotated descriptor, sets up new simulating scenes;
(2) import federal descriptor, comprise federal title, federal member quantity and federal descriptive information;
(3) upload the federation execution data file, parse object class and interactive class information in the federation, each federal member is managed the object class of its corresponding publish/subscribe and the information of interactive class, draws federal descriptor, writes in the database;
(4) size of data of basic data size, object class and the interactive class of setting object class and interactive class quantity, object class; Management federal member, federal member cpu load and member's associated with path are set;
(5) whether setting completed to judge federal all federal member information, if enter step (6), otherwise change step (3) over to;
(6) whether setting completed to judge all federal information, if enter step (7), otherwise change step (2) over to;
(7) judged whether the bridge joint federal member according to the FED file,, set size of data, cpu load and the associated with path of bridge joint federal member object class and interactive class quantity, object class and interactive class if having; Otherwise change step (8) over to;
(8) the federal scene description information of federal scene description information of all that above steps is obtained and bridge joint gathers total scene description document of generation;
To the demand of CPU, internal memory, draw the demand of the network bandwidth by calculating interactive class quantity when (9) from scene description, extracting federal the operation;
(10) obtain the emulation graticule idling-resource by emulation graticule resource acquisition instrument, add the detection idling-resource to information table, regularly upgrade the resource information table;
(11) resource matched request is joined request formation begins to take out one by one request and is unit resource with the federation from head of the queue, mates with the resource in the resource information table in the step (10);
(12) resource matched request and idling-resource information are complementary, and draw resource matched scheme, and the simulating scenes that will dispose and respective resources are set up becomes a deployment table of comparisons automatically, obtains the automatic deployment scheme of simulating scenes;
(13) carrying out scene according to the automatic deployment scheme of simulating scenes disposes.
2. simulating scenes automatic deployment method according to claim 1 is characterized in that: step (10) is regularly upgraded grid available resource information table according to following step:
(A1) timer interval break period t is set, and opens timer;
(A2) timer timing, the timer initiation countdown;
(A3) whether then judging timer, is then to jump to step (A4), otherwise jumps to step (A2);
(A4) judging whether the resource information table has remaining space, is then to jump to step (A2), otherwise jumps to step (A5);
(A5) obtain the grid idling-resource, with the resource record information in the detected new resources renewal resource information table;
(A6) read the resource record information that does not detect in the resource information table;
(A7) judge whether resource that this resource information writes down was not used in the time interval at 2t, was then to delete this resource;
(A8) judge in the resource information table whether also have the resource record that does not detect, be then to jump to step (A6), otherwise jump to step (A9);
(A9) judge whether artificial resource coupling is finished, be ending resource information table detecting operation regularly then, otherwise jump to step (A2).
3. simulating scenes automatic deployment method according to claim 1 and 2 is characterized in that:
Step (11) is carried out resource matched according to following step:
(B1) the matching request formation that joins request: when resource matched request comes, request is joined resource matched formation;
(B2) get the resource matched request of head of the queue, obtain the resource requirement that this request federation execution needs;
(B3) in resource table, choose the resource collection that is complementary with demand, constitute candidate's resource collection R;
(B4) judge that whether this candidate's resource collection R is empty, is that sky then jumps to step (B5), otherwise jumps to step (B6);
(B5) upgrade the resource information table, new resources information is added in the resource information table, forwards step (B3) to;
(B6) resource of taking-up candidate resource set R sequencing table head of the queue;
(B7) resource parameters in the resource information table is set, will uses the resource items parameter value to be made as very, obtain selected resources use right;
(B8) generate the resource matched scheme of this resource request, and this resource matched time of record;
(B9) the request queue resource request that whether is untreated in addition has then to forward (B2) to, otherwise forwards (B10) to;
(B10) judge resource matched whether finishing, finish and then generate aggregate resource matching scheme, EO; Otherwise, jump to (B9) with the resource matched request formation that joins request.
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| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
| CN102523104A (en) * | 2011-11-30 | 2012-06-27 | 中国电子科技集团公司第二十八研究所 | Networked simulation operation supporting system and method |
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| CN101770210B (en) * | 2008-12-31 | 2012-08-22 | 中国远洋物流有限公司 | System for controlling rolling of large cargo on ship and method thereof |
| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
| CN102542091A (en) * | 2010-12-30 | 2012-07-04 | 中国科学院沈阳自动化研究所 | Realization method for software simulation platform in photoelectric imaging process |
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| CN108153921B (en) * | 2016-12-05 | 2021-06-04 | 北京仿真中心 | Dynamic deployment and distribution method for HLA (high level architecture) federal members |
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Granted publication date: 20091007 Termination date: 20121207 |