CN102081841A - Method and system for processing huge traffic data - Google Patents
Method and system for processing huge traffic data Download PDFInfo
- Publication number
- CN102081841A CN102081841A CN 201110020415 CN201110020415A CN102081841A CN 102081841 A CN102081841 A CN 102081841A CN 201110020415 CN201110020415 CN 201110020415 CN 201110020415 A CN201110020415 A CN 201110020415A CN 102081841 A CN102081841 A CN 102081841A
- Authority
- CN
- China
- Prior art keywords
- working node
- node
- traffic data
- operating position
- working
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The embodiment of the invention provides a method and system for processing huge traffic data, relating to the field of traffic information processing and being capable of lowering the hardware requirement for processing the huge traffic data and further reducing the maintenance cost of the processing system. The system for processing the huge traffic data comprises a management node, a working node cluster and a network router, wherein the management node is connected with the working node cluster through a network; the management node is used for monitoring the working state of each working node, monitoring the resource use condition and the task executing condition of each working node, and distributing storage of traffic data and calculating tasks of a traffic analysis model to each working node; the working nodes are used for sending the use condition of the resources per se to the management node, receiving the tasks distributed by the management node, and storing the traffic data and calculating the traffic analysis model; and the network router is used for connecting the management node with the working nodes. The embodiment of the invention is used for processing the huge traffic data.
Description
Technical field
The present invention relates to the transport information process field, relate in particular to a kind of disposal route and system of magnanimity traffic data.
Background technology
In order to grasp the current traffic and the variation tendency of traffic, the traffic data disposal system needs data such as the real-time speed of a motor vehicle of gathering, handling and analyzing constantly variation, flow, incident, also to constantly compare, analyze simultaneously, carry out Data Fusion then with historical data.Because the data acquisition amount of traffic is big, Data Update speed is fast, the computation complexity height of traffic analysis model, computational data amount are big, so the traffic data disposal system must have the ability of operating and handling at mass data.
Present traffic data treatment technology also is based on the system of unit, and they have plenty of calculating and storage are concentrated on the computing machine; Have plenty of computing is divided into several modules, each module is handled with a computing machine.Because the traffic data disposal system requires to have the storage and the fast throughput of pair mass data, therefore, the high configuration server that people often have to the procurement price costliness, minicomputer in addition in, large scale computer finishes storage and calculation task.
But continuous expansion along with city scope, the traffic overlay area of monitoring is also in continuous expansion, along with people's deepening continuously to traffic model research, the traffic analysis model is also complicated day by day, and this just requires the traffic data disposal system need have the more powerful storage at mass data, processing, functipnal capability and computing velocity faster.People must not be frequent for this reason carries out HardwareUpgring, makes that the maintenance cost of traffic data disposal system is very high.
Summary of the invention
Embodiments of the invention provide a kind of disposal route and system of magnanimity traffic data, can reduce the hardware requirement of data processing, and then reduce the maintenance cost of traffic data disposal system.
For achieving the above object, embodiments of the invention adopt following technical scheme:
A kind of magnanimity traffic data disposal system comprises:
Management node and working node cluster by the network connection;
Management node, be used to monitor the duty of each working node, monitor the resource operating position and the task implementation status of each working node, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model;
Working node is used for the operating position to described management node transmission own resource; Receive the task that described management node distributes, carry out the storage of traffic data and the calculating of traffic analysis model;
Network router is used to connect described management node and described working node.
A kind of magnanimity traffic data disposal route comprises:
Management node obtains the operating position by the resource of connected each working node of network, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model;
Working node receives the storage of the described traffic data that described management node distributes and the calculation task of traffic analysis model, carries out the storage of described traffic data and the computing of traffic analysis model.
The disposal route and the system of the magnanimity traffic data that the embodiment of the invention provides comprise the management node and the working node cluster that connect by network; Management node is used to monitor the duty of each working node, monitor the resource operating position and the task implementation status of each working node, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model; Working node is used for sending to management node the operating position of own resource; The task that the receiving management node distributes is carried out the storage of traffic data and the calculating of traffic analysis model.Like this, maybe will store with one-of-a-kind system of the prior art, calculate and be divided into several modules, a machine is carried out storage, the account form difference of a module, the method and system that the embodiment of the invention provides no longer need the high-performance of every computer hardware, but can fully effectively utilize the resource of each working node computing machine that links together, the same processing that realizes the magnanimity traffic data, thereby reduced hardware performance requirement to every computing machine, people need not the frequent HardwareUpgring that carries out, and have reduced the maintenance cost of system.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
The structural representation of the magnanimity traffic data disposal system that Fig. 1 provides for the embodiment of the invention one;
The structural representation of the magnanimity traffic data disposal system that Fig. 2 provides for the present invention two embodiment;
The schematic flow sheet of the magnanimity traffic data disposal route that Fig. 3 provides for the embodiment of the invention three;
The schematic flow sheet of the magnanimity traffic data disposal route that Fig. 4 provides for the present invention four embodiment;
Fig. 5 is a city road chain cutting synoptic diagram;
The computation process synoptic diagram of the working node in the magnanimity traffic data disposal route that Fig. 6 provides for the embodiment of the invention four.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
Embodiment one
The magnanimity traffic data disposal system that the embodiment of the invention one provides as shown in Figure 1, comprising:
Management node 10 (being in charge of the computing machine of task), be used to monitor the duty of each working node 11, monitor the resource operating position and the task implementation status of each working node 11, according to the resource operating position of each working node 11, to the storage of each working node 11 distribute traffic data and the calculation task of traffic analysis model.
Management node is its allocating task according to the resource operating position of working node, the resources occupation rate that can guarantee each working node is suitable, thereby data of storing and calculation task too concentrate on certain working node, cause the performance of this working node and even total system to descend.
Working node 11 (bearing the computing machine of storage, calculation task) is used for the operating position to management node 10 transmission own resources; The task that receiving management node 10 distributes is carried out the storage of traffic data and the calculating of traffic analysis model.
The disposal system of the magnanimity traffic data that the embodiment of the invention one provides comprises the management node and the working node cluster that connect by network; Management node is used to monitor the duty of each working node, monitor the resource operating position and the task implementation status of each working node, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model; Working node is used for sending to management node the operating position of own resource; The task that the receiving management node distributes is carried out the storage of traffic data and the calculating of traffic analysis model.Like this, maybe will store with one-of-a-kind system of the prior art, calculate and be divided into several modules, a machine is carried out storage, the account form difference of a module, the system that the embodiment of the invention provides no longer needs the high-performance of every computer hardware, but can fully effectively utilize the resource of each working node computing machine that links together, the same processing that realizes the magnanimity traffic data, thereby reduced hardware performance requirement to every computing machine, people need not the frequent HardwareUpgring that carries out, and have reduced the maintenance cost of system.
Embodiment two
Further in the disposal system of the magnanimity traffic data that the embodiment of the invention two provides, as shown in Figure 2.
Management node comprises 10:
Storage allocation administrative unit 102, the traffic data that is used for need are stored carries out cutting, and the resource operating position information of each working node 11 that sends according to condition monitoring unit 101 is to the store tasks of each working node 11 distribute traffic data.
Distribution of computation tasks scheduling unit 103, be used for resource operating position information according to each working node 11 of condition monitoring unit 101 transmissions, to the calculation task of each working node 11 distribute traffic analytical models, and this calculation task implementation status of following the tracks of each working node 11.
Resource status reports unit 111, is used for reporting its other resources operating position to management node 10.
The disposal system of the magnanimity traffic data that the embodiment of the invention two provides comprises the management node and the working node cluster that connect by network; Management node is used to monitor the duty of each working node, monitor the resource operating position and the task implementation status of each working node, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model; Working node is used for sending to management node the operating position of own resource; The task that the receiving management node distributes is carried out the storage of traffic data and the calculating of traffic analysis model.Like this, maybe will store with one-of-a-kind system of the prior art, calculate and be divided into several modules, a machine is carried out storage, the account form difference of a module, the system that the embodiment of the invention provides no longer needs the high-performance of every computer hardware, but can fully effectively utilize the resource of each working node computing machine that links together, the same processing that realizes the magnanimity traffic data, thereby reduced hardware performance requirement to every computing machine, people need not the frequent HardwareUpgring that carries out, and have reduced the maintenance cost of system.
Embodiment three
The magnanimity traffic data disposal route that the embodiment of the invention three provides, the system that utilizes embodiment one to provide as shown in Figure 3, comprises step:
S301, management node obtain the operating position by the resource of connected each working node of network, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model.
The storage of the traffic data that S302, working node receiving management node distribute and the calculation task of traffic analysis model carry out the storage of this traffic data and the computing of traffic analysis model.
The magnanimity traffic data disposal route that the embodiment of the invention three provides, management node obtains the operating position by the resource of connected each working node of network, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model; The storage of the traffic data that working node receiving management node distributes and the calculation task of traffic analysis model carry out the storage of this traffic data and the computing of traffic analysis model.Like this, maybe will store with one-of-a-kind system of the prior art, calculate and be divided into several modules, a machine is carried out storage, the account form difference of a module, the method that the embodiment of the invention provides no longer needs the high-performance of every computer hardware, but can fully effectively utilize the resource of each working node computing machine that links together, the same processing that realizes the magnanimity traffic data, thereby reduced hardware performance requirement to every computing machine, people need not the frequent HardwareUpgring that carries out, and have reduced the maintenance cost of system.
Embodiment four
The magnanimity traffic data disposal route that the embodiment of the invention four provides, the system that utilizes embodiment two to provide shows as Fig. 4, comprises step:
The condition monitoring unit of S401, management node regularly sends the resource operating position to each working node and reports request.For example, management node can send the resource operating position to each working node every three seconds and report request.
After S402, working node receive this request, report the unit to report management node by resource status the operating position of self CPU, internal memory, disk space.
The resource operating position of each working node that the condition monitoring unit of S403 working node will get access to sends to the storage allocation administrative unit and the distribution of computation tasks scheduling unit of management node.
In the present embodiment, management node obtains the resource operating position of each working node, again according to resource operating position memory allocated, the calculation task of each working node, resource utilization that can balanced each working node, the task that prevents too concentrates on some working nodes, causes the performance of this working node and even total system to descend.
The traffic data that the storage allocation administrative unit of S404, management node is stored need carries out cutting, resource operating position according to each working node, data block file after working node sends cutting, the position of the working node of noting the cutting order of every blocks of data file simultaneously and storing is so that can be stitched together when reading in the future.
City has several ten thousand even hundreds of thousands bar road chain, and the traffic of these road chains is ceaselessly changing, so data volume is very big.In order to allow each working node effectively handle these data, need carry out cutting to these road chains.As shown in Figure 5, spatially be transverse axis with the east orientation, to be the longitudinal axis be cut into one by one grid 51 with the city to south orientation; Then grid 31 is numbered; Respectively the road chain 32 in each grid 31 is numbered again afterwards; According to the resource operating position of each working node, after each working node sends cutting is the data of unit with the grid at last, and in addition, the traffic road condition data of gathering on the link also can mail to this working node to be stored.
The distribution of computation tasks scheduling unit of S405, management node is according to the resource operating position of each working node, to the calculation task of each working node distribute traffic analytical model, and this calculation task implementation status of following the tracks of each working node.
Here, the distribution of computation tasks scheduling unit is according to resource operating position Distribution Calculation tasks such as the CPU of working node, internal memory free time, resource that can balanced each working node makes that the CPU of each working node and memory usage are suitable, thus the calculated performance of total system.
In addition, the memory allocated of step S404 and step S405 and the task of calculating do not have sequencing, can carry out simultaneously can successively carrying out yet.
The store tasks of the traffic data that the storage allocation administrative unit of the data storage cell receiving management node of S406, working node is distributed is carried out the storage of traffic data; The calculation task of the traffic analysis model that the distribution of computation tasks scheduling unit of the Model Calculation unit receiving management node of working node distributes carries out the calculating of traffic analysis model.
Concrete, working node carries out the computing of traffic analysis model, as shown in Figure 6, can adopt calculating to the storage migration strategy, and promptly the road chain is stored in the calculating of just carrying out on which working node according to the traffic analysis model of this road chain on which working node.Can avoid like this on calculation task and the storage data not same working node and cause great amount of data transmission, incur loss through delay the processing time.The traffic analysis Model Calculation can be divided into 4 stages, and 601 among phase one Fig. 6, working node read the road chain data of local storage; Among subordinate phase Fig. 6 602, working node utilizes these road chain data to carry out the computing of traffic analysis model, obtains result of calculation; Among phase III Fig. 6 603, the result of calculation that this working node is obtained gathers, and obtains node result of calculation; Among four-stage Fig. 6 604, the node result of calculation of each working node is gathered, obtain the traffic related information of entire city, and output.
The magnanimity traffic data disposal route that the embodiment of the invention four provides, management node obtains the operating position by the resource of connected each working node of network, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model; The storage of the traffic data that working node receiving management node distributes and the calculation task of traffic analysis model carry out the storage of this traffic data and the computing of traffic analysis model.Like this, maybe will store with one-of-a-kind system of the prior art, calculate and be divided into several modules, a machine is carried out storage, the account form difference of a module, the method that the embodiment of the invention provides no longer needs the high-performance of every computer hardware, but can fully effectively utilize the resource of each working node computing machine that links together, the same processing that realizes the magnanimity traffic data, thereby reduced hardware performance requirement to every computing machine, people need not the frequent HardwareUpgring that carries out, and have reduced the maintenance cost of system.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be finished by the relevant hardware of programmed instruction, aforesaid program can be stored in the computer read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
The above; only be the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of described claim.
Claims (9)
1. a magnanimity traffic data disposal system is characterized in that, comprising:
Management node and working node cluster by the network connection;
Management node, be used to monitor the duty of each working node, monitor the resource operating position and the task implementation status of each working node, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model;
Working node is used for the operating position to described management node transmission own resource; Receive the task that described management node distributes, carry out the storage of traffic data and the calculating of traffic analysis model;
Network router is used to connect described management node and described working node.
2. magnanimity traffic data disposal system according to claim 1 is characterized in that described management node comprises:
The condition monitoring unit is used for regularly gathering the resource operating position of each working node, and the resource operating position information of described each working node is sent to storage allocation administrative unit and distribution of computation tasks scheduling unit;
The storage allocation administrative unit, the traffic data that is used for need are stored carries out cutting, and the resource operating position information of described each working node that sends according to described condition monitoring unit is to the store tasks of each working node distribute traffic data;
The distribution of computation tasks scheduling unit, be used for resource operating position information according to described each working node of described condition monitoring unit transmission, to the calculation task of each working node distribute traffic analytical model, and the described calculation task implementation status of following the tracks of each working node.
3. magnanimity traffic data disposal system according to claim 1 and 2 is characterized in that described working node comprises:
Resource status reports the unit, is used for reporting its other resources operating position to described management node;
Data storage cell is used to receive the store tasks of the traffic data that described management node distributes, and carries out the stores processor of traffic data;
The Model Calculation unit is used to receive the calculation task of the traffic analysis model that described management node distributes, and carries out the computing of traffic analysis model.
4. a magnanimity traffic data disposal route is characterized in that, comprising:
Management node obtains the operating position by the resource of connected each working node of network, according to the resource operating position of each working node, to the storage of each working node distribute traffic data and the calculation task of traffic analysis model;
Working node receives the storage of the described traffic data that described management node distributes and the calculation task of traffic analysis model, carries out the storage of described traffic data and the computing of traffic analysis model.
5. magnanimity traffic data disposal route according to claim 4 is characterized in that the operating position that management node obtains the resource of each working node comprises:
Management node regularly sends the resource operating position to each working node and reports request;
After working node receives described request, the operating position of self CPU, internal memory, disk space is reported described management node.
6. according to claim 4 or 5 described magnanimity traffic data disposal routes, it is characterized in that management node is according to the resource operating position of each working node, comprise to the store tasks of working node distribute traffic data:
The traffic data that management node is stored need carries out cutting, resource operating position according to each working node, data block file after working node sends cutting is noted the cutting order of every blocks of data file and the position of the working node of storing simultaneously.
7. magnanimity traffic data disposal route according to claim 6, it is characterized in that, the traffic data that described management node is stored need carries out cutting, and according to the resource operating position of each working node, the data block file after working node sends cutting comprises:
The city road chain map that management node is stored need is divided into a plurality of grids, and each grid is numbered, and more every road chain in each grid is numbered;
Management node is according to the resource operating position of each working node, and after working node sends cutting is the data block file of unit with the grid.
8. magnanimity traffic data disposal route according to claim 7 is characterized in that the computing that working node carries out the traffic analysis model comprises:
Read the road chain data of local storage;
Utilize described road chain data to carry out the computing of traffic analysis model, obtain result of calculation;
The described result of calculation that this working node is obtained gathers, and obtains node result of calculation;
The node result of calculation of each working node is gathered, obtain the traffic related information of entire city, and output.
9. magnanimity traffic data disposal route according to claim 4 is characterized in that described method also comprises:
Described management node is also monitored duty, the task implementation status of each working node.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110020415 CN102081841B (en) | 2011-01-18 | 2011-01-18 | Method and system for processing huge traffic data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110020415 CN102081841B (en) | 2011-01-18 | 2011-01-18 | Method and system for processing huge traffic data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102081841A true CN102081841A (en) | 2011-06-01 |
| CN102081841B CN102081841B (en) | 2013-06-19 |
Family
ID=44087785
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110020415 Active CN102081841B (en) | 2011-01-18 | 2011-01-18 | Method and system for processing huge traffic data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102081841B (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622272A (en) * | 2012-01-18 | 2012-08-01 | 北京华迪宏图信息技术有限公司 | Massive satellite data processing system and massive satellite data processing method based on cluster and parallel technology |
| CN104408552A (en) * | 2014-11-13 | 2015-03-11 | 华为技术有限公司 | Method, device and system for cooperatively processing task |
| CN106301948A (en) * | 2016-08-31 | 2017-01-04 | 北京奇艺世纪科技有限公司 | A kind of message circulation visualization and monitoring method and system |
| CN109471705A (en) * | 2017-09-08 | 2019-03-15 | 杭州海康威视数字技术股份有限公司 | Method, equipment and system, the computer equipment of task schedule |
| WO2019052355A1 (en) * | 2017-09-15 | 2019-03-21 | Oppo广东移动通信有限公司 | Image processing method, computer device, and computer readable storage medium |
| CN110119309A (en) * | 2019-04-04 | 2019-08-13 | 中国平安人寿保险股份有限公司 | Data processing method, device and storage medium |
| CN111143075A (en) * | 2019-12-30 | 2020-05-12 | 北京航天宏图信息技术股份有限公司 | Ocean satellite data calibration inspection method and device, electronic equipment and storage medium |
| CN115543924A (en) * | 2022-11-29 | 2022-12-30 | 粤港澳大湾区数字经济研究院(福田) | Task processing method based on trusted management platform and related device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101505319A (en) * | 2009-02-26 | 2009-08-12 | 浙江大学 | Method for accelerating adaptive reconfigurable processing unit array system based on network |
| CN101692208A (en) * | 2009-10-15 | 2010-04-07 | 北京交通大学 | Task scheduling method and task scheduling system for processing real-time traffic information |
| CN101916280A (en) * | 2010-08-17 | 2010-12-15 | 上海云数信息科技有限公司 | Parallel computing system and method for carrying out load balance according to query contents |
-
2011
- 2011-01-18 CN CN 201110020415 patent/CN102081841B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101505319A (en) * | 2009-02-26 | 2009-08-12 | 浙江大学 | Method for accelerating adaptive reconfigurable processing unit array system based on network |
| CN101692208A (en) * | 2009-10-15 | 2010-04-07 | 北京交通大学 | Task scheduling method and task scheduling system for processing real-time traffic information |
| CN101916280A (en) * | 2010-08-17 | 2010-12-15 | 上海云数信息科技有限公司 | Parallel computing system and method for carrying out load balance according to query contents |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102622272A (en) * | 2012-01-18 | 2012-08-01 | 北京华迪宏图信息技术有限公司 | Massive satellite data processing system and massive satellite data processing method based on cluster and parallel technology |
| CN104408552A (en) * | 2014-11-13 | 2015-03-11 | 华为技术有限公司 | Method, device and system for cooperatively processing task |
| CN106301948A (en) * | 2016-08-31 | 2017-01-04 | 北京奇艺世纪科技有限公司 | A kind of message circulation visualization and monitoring method and system |
| CN109471705A (en) * | 2017-09-08 | 2019-03-15 | 杭州海康威视数字技术股份有限公司 | Method, equipment and system, the computer equipment of task schedule |
| WO2019052355A1 (en) * | 2017-09-15 | 2019-03-21 | Oppo广东移动通信有限公司 | Image processing method, computer device, and computer readable storage medium |
| CN110119309A (en) * | 2019-04-04 | 2019-08-13 | 中国平安人寿保险股份有限公司 | Data processing method, device and storage medium |
| CN111143075A (en) * | 2019-12-30 | 2020-05-12 | 北京航天宏图信息技术股份有限公司 | Ocean satellite data calibration inspection method and device, electronic equipment and storage medium |
| CN111143075B (en) * | 2019-12-30 | 2023-09-05 | 航天宏图信息技术股份有限公司 | Marine satellite data calibration inspection method, device, electronic equipment and storage medium |
| CN115543924A (en) * | 2022-11-29 | 2022-12-30 | 粤港澳大湾区数字经济研究院(福田) | Task processing method based on trusted management platform and related device |
| CN115543924B (en) * | 2022-11-29 | 2023-08-15 | 粤港澳大湾区数字经济研究院(福田) | Task processing method and related device based on trusted management platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102081841B (en) | 2013-06-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102081841B (en) | Method and system for processing huge traffic data | |
| Aljohani et al. | An algorithm for accessing traffic database using wireless technologies | |
| WO2013167085A2 (en) | Traffic network division method based on grid mapping generation and configuration server | |
| CN103761309A (en) | Operation data processing method and system | |
| Karagiannis et al. | Comparison of alternative architectures in fog computing | |
| CN102193832A (en) | Cloud computing resource scheduling method and applied system | |
| CN109242446A (en) | A kind of city intelligent energy panorama control platform | |
| CN102394903B (en) | A kind of active reconstruction calculating system constructing system | |
| CN103941662A (en) | Task scheduling system and method based on cloud computing | |
| CN103886743A (en) | Urban public transport operation scheme optimization method | |
| CN102194317A (en) | Multi-node intelligent traffic micro cloud computing method | |
| CN108334556A (en) | A kind of method and system of analysis internet finance massive logs | |
| CN107357804A (en) | The analysis system and method for internet finance massive logs | |
| CN105071994A (en) | Mass data monitoring system | |
| CN114757797B (en) | Power grid resource service central platform architecture method based on data model drive | |
| CN113268486A (en) | Integrated data application system of intelligent factory | |
| Lyu et al. | Cooperative computing anytime, anywhere: Ubiquitous fog services | |
| CN108415355A (en) | A kind of efficient identification system of big data | |
| CN103546566A (en) | Power distribution network operation data processing method and system based on distributed storage and distributed computation | |
| CN115529351A (en) | Wisdom city management system based on block chain | |
| Wang et al. | Emergency repair scope partition of city water distribution network: a novel approach considering the node importance | |
| Zhang et al. | A novel topology optimization theory and parallel data analysis model based resource scheduling algorithm for cloud computing | |
| CN102185713B (en) | Global optimization method of internet service resource distribution | |
| Mithila et al. | Latency-based vector scheduling of many-task applications for a hybrid cloud | |
| CN104486795A (en) | Sampling task load balancing and fault-tolerant method for wireless sensor network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |