CN105389683A - Cloud computing support system - Google Patents
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Abstract
The invention relates to a cloud computing support system, including: a vehicle-mounted intelligent terminal information acquisition subsystem used for collecting information of vehicle-mounted intelligent terminal equipment; a high-performance distributed computing subsystem used for undertaking computation tasks of an intelligent position service system; a mass data distributed storage subsystem used for providing storage and management services of mass data for other subsystems; a configured soft plug-in management subsystem used for building an software environment in operation which supports dynamic expansion and dynamic changes of system behavior; a distributed application integration subsystem used for realizing integration of different communication protocols between external systems; a distributed flow dispatching and management subsystem used for abstracting a logistics transportation treatment process and each link in emergency dispatching into workflow; and a cloud computing cluster management subsystem used for completing monitoring of the running status of a cloud computing support subsystem and hardware infrastructure. The cloud computing support system provided by the invention can realize a requirement for intelligentization, and perform real-time and fast computing and processing of information.
Description
Technical field
The present invention relates to cloud computing support technology field, particularly relate to a kind of cloud computing support system.
Background technology
Along with the development of carrier of CNPC business and the progressively enforcement of China National Petroleum Corporation's " large logistics " strategy, have an eye on the future as whole society's haulage vehicle provides omnibearing information service simultaneously, logistics transportation intelligent position information on services platform must the position of the more vehicles of monitor and managment and relevant information, also needs to carry out omnibearing monitoring and management to every relevant information such as tire pressure, oil pressure, the driver driving behavior etc. of vehicle, goods and driver simultaneously.Therefore, on the basis of the actual conditions such as CNPC's existing information platform construction, production business, should have an eye on the future and use for reference the advanced experience of domestic and international large enterprise logistics transportation, the Technical Architecture of Logistics Information Platform is redesigned, function is further improved and excavates, to meet monitor and managment 300,000 or more vehicle for target.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of cloud computing support system, can realize intelligent requirements, carries out in real time, calculates fast and process information.
The technical solution adopted for the present invention to solve the technical problems is: provide a kind of cloud computing support system, comprising: vehicle intelligent terminal information gathering subsystem, for collecting the information of vehicle intelligent terminal equipment; High performance distributed computing subsystem, for bearing the calculation task of intelligent position service system; Mass data distributed storage subsystem, for providing the storage and management service of mass data for other subsystems; The soft plug-in management subsystem of configurationization, supports Dynamic expansion for building one, software environment when dynamically changing the operation of system action; Distributed application integration subsystem, integrated for what realize for different communication protocol between external system, and shielding harness inside realizes details; Distributed flow scheduling and ADMINISTRATION SUBSYSTEM, for by abstract for the links in logistics transportation processing procedure and emergency scheduling be workflow, and carry out dispatching and manage to the implementation of workflow; Cloud computing cluster management subsystem, for completing monitoring cloud computing being supported to subsystem running status and hardware infrastructure.
Described vehicle intelligent terminal information gathering subsystem comprises vehicle intelligent terminal real-time data acquisition module, vehicle intelligent terminal real time data processing module, vehicle intelligent terminal device drives administration module, vehicle intelligent terminal alert data processing module, vehicle intelligent terminal trend data processing module and vehicle intelligent terminal Communications Processor Module; Described vehicle intelligent terminal real-time data acquisition module is used for gathering real time data from vehicle intelligent terminal equipment, and provides device data loop back function; Described vehicle intelligent terminal real time data processing module be used for vehicle intelligent terminal real-time data acquisition module acquires to real time data carry out data mart modeling and computing; Described vehicle intelligent terminal device drives administration module is used for dynamic lookup and the binding of being responsible for driver; Described vehicle intelligent terminal alert data processing module is used for providing warning defined function, and accepts the abnormal data sent according to definition of reporting to the police of vehicle intelligent terminal transmission; Described vehicle intelligent terminal trend data processing module, shows and real-time tendency Presentation Function for providing vehicle termination historical trend; Described vehicle intelligent terminal Communications Processor Module, for the transmitting-receiving of the order in responsible vehicle intelligent terminal monitoring of tools process between each module, data and state.
Described high performance distributed computing subsystem comprises Scheduler module and task tracker module; Described Scheduler module is responsible for scheduling clustered node and is completed calculating, thus coordinates the operation of calculation task; Described task tracker module performs concrete calculation task, performs the calculation task after job partitioning and follows the tracks of executing state.
Described mass data distributed storage subsystem comprises large data memory module, small data memory module and calamity for memory module; Described large data memory module is the module that the large data uploaded for vehicle intelligent terminal carry out store and management, primarily of index data node and back end composition; Described small data memory module is the module that the small data uploaded for car-mounted terminal carries out store and management, adopts storage virtualization technology storage hardware, storing software and storage administration to be organically combined; The daily critical data of vehicle that described calamity is responsible for storing for memory module carries out disaster-tolerant backup.
Described configurationization soft plug-in management subsystem comprises soft plug-in definition module, life cycle management module, soft plug-in unit communication management module and soft plug-in security administration module; The mode developed plug-in unit, organize plug-in unit, dispose soft plug-in unit in the described soft plug-in definition module definition soft insert receptacle of configurationization; Described life cycle management module is used for defining soft plug-in unit life cycle, changes the life cycle of soft plug-in unit simultaneously; Described soft plug-in unit communication management module is for completing communication between soft plug-in unit and sharing functionality; For other subsystems and component, the application in the soft insert receptacle of configurationization provides the infrastructure of disposing and managing to described soft plug-in security administration module.
Described distributed application integration subsystem comprises message receiver module, message transformer module and message forwarder module; Described message receiver module is responsible for the cut-in operation of external message; The message format that described message transformer module is used for forwarding message receiver module the isomery source service come is changed; Described message forwarder module, the message for changing message transformer is filtered and route, and the message that source is served is sent to the receiving end of object service.
Described distributed flow scheduling and ADMINISTRATION SUBSYSTEM comprise flow definition module, flow engine module and workflow management tool model; Described flow definition module carries out modeling by Process Modeling Language to service link, describes the various actions of flow process; Described flow engine module is with flow definition configuration file for input, and defined by process of analysis, Establishing process example also runs; The flow performing state of described workflow management tool model by preserving in acquisition database, for user provides visual management and monitoring function.
Described cloud computing cluster management subsystem comprises cluster system hardware state monitoring module and cluster system cloud computing platform service management module; Described cluster system hardware state monitoring module for the running state information of the hardware status information and each cloud computing subsystem of collecting cloud computing node, and reports server set cluster management system; Described cluster system cloud computing platform service management module comprises cluster state and collects submodule, hardware management submodule, Service Management submodule and Role Management submodule, described cluster state collects the hardware and software running status that submodule is responsible for receiving, processing each node server, and the status information after process is supplied to other three submodules respectively; Described hardware management submodule monitors the function of node server hardware running status for completing; Described Service Management submodule monitors the running status of each cloud service from software service aspect, and controls the integrated operation of corresponding cloud service; Described Role Management submodule carries out fine-grained monitoring from role's aspect to cloud service, and completes the control operated corresponding role.
Beneficial effect
Owing to have employed above-mentioned technical scheme, the present invention compared with prior art, there is following advantage and good effect: the present invention can realize intelligent requirements, information is carried out in real time, calculates fast and process, realize intelligentized data analysis and prediction, for different requirements, ensure the ageing of analysis result.The present invention can also realize the storage and management of mass data, data content comprises the information such as other data, file, daily record that vehicle information data, video information data, driver information data, car pool information data, map datum, weather data, road data and system platform produce, and can provide efficient, reliable, safe storage solution.The invention provides high performance Distributed Calculation function, with diagram data process contentedly, the large-scale function such as data analysis and prediction to ageing requirement.
Accompanying drawing explanation
Fig. 1 is that in the present invention, cloud computing supports subsystem composition diagram;
Fig. 2 is the hardware deployment diagram that in the present invention, cloud computing supports subsystem.
Embodiment
Below in conjunction with specific embodiment, set forth the present invention further.Should be understood that these embodiments are only not used in for illustration of the present invention to limit the scope of the invention.In addition should be understood that those skilled in the art can make various changes or modifications the present invention, and these equivalent form of values fall within the application's appended claims limited range equally after the content of having read the present invention's instruction.
Embodiments of the present invention relate to a kind of cloud computing support system, as shown in Figure 1, comprising: vehicle intelligent terminal information gathering subsystem, for collecting the information of vehicle intelligent terminal equipment; High performance distributed computing subsystem, for bearing the calculation task of intelligent position service system; Mass data distributed storage subsystem, for providing the storage and management service of mass data for other subsystems; The soft plug-in management subsystem of configurationization, supports Dynamic expansion for building one, software environment when dynamically changing the operation of system action; Distributed application integration subsystem, integrated for what realize for different communication protocol between external system, and shielding harness inside realizes details; Distributed flow scheduling and ADMINISTRATION SUBSYSTEM, for by abstract for the links in logistics transportation processing procedure and emergency scheduling be workflow, and carry out dispatching and manage to the implementation of workflow; Cloud computing cluster management subsystem, for completing monitoring cloud computing being supported to subsystem running status and hardware infrastructure
Based in the logistics transportation Intellisense of Big Dipper technology and position service system, cloud computing supports the lower floor that subsystem is positioned at business subsystem, the such as support such as mass data storage, high performance distributed computing is provided, to ensure the service quality of system when realizing Large Copacity location-based service to concrete business subsystem.
Cloud computing supports the supporting relation of subsystem to business subsystem and is in particular in:
1) service such as vehicle intelligent terminal information gathering subsystem be location-based service comprehensive platform vehicle location Monitor And Control Subsystem, information of vehicles Monitor And Control Subsystem, monitoring remote video subsystem provides terminal communication, SOT state of termination monitors, terminal behavior controls, alarm and process;
2) the real time data subsystem that high performance distributed computing subsystem is location-based service comprehensive platform provides the express statistic analytical calculation of extensive monitor data to serve;
3) data administration subsystem that mass data distributed storage subsystem is location-based service comprehensive platform provides the monitor message stores service of big data quantity;
4) the soft plug-in management subsystem of configurationization provides bus service for the enforcement of each service sub-system of location-based service comprehensive platform, each service sub-system is made to have complete plug-in architecture, support that each service sub-system is with good expansibility, maintainable, and support that each service sub-system is to the status surveillance of module dynamics and Behavior-Based control;
5) distributed application integration subsystem provides the integrated of existed system and the responsible data layout to outside access data is changed, enable location-based service comprehensive platform adapt to existing service platform and be likely linked into other application systems of this service platform for location-based service comprehensive platform;
6) the emergency scheduling ADMINISTRATION SUBSYSTEM that distributed flow scheduling and ADMINISTRATION SUBSYSTEM, car-mounted terminal information gathering subsystem are respectively location-based service comprehensive platform provides emergent flow scheduling service, terminal control function;
7) the cluster system hardware state that cloud computing cluster management subsystem provides monitors service and the service of cluster system cloud computing platform, for the subsystems in whole location-based service comprehensive platform provides remote deployment, configuration, supervision and controlling functions, play the effect of location-based service comprehensive platform console, unified management and control are carried out to service platform.
The information of vehicle intelligent terminal information gathering subsystem to vehicle intelligent terminal equipment is collected, thus monitors in real time vehicle is unified and manages, and this subsystem is made up of following 6 modules:
Vehicle intelligent terminal real-time data acquisition module is mainly used in gathering real time data from vehicle intelligent terminal equipment, and provides device data loop back function.With vehicle intelligent terminal equipment carry out data transmit time, can select whether to carry out input and output process according to different demand.Then by the real time data of collection or be sent to the external world via communication module, or send to haulage vehicle mass data distributed storage subsystem, if the real time data collected can not meet request for utilization, or need special computing, then real time data is sent to real time data processing module and carries out data mart modeling and data operation.
Vehicle intelligent terminal real time data processing module be mainly used in by vehicle intelligent terminal real-time data acquisition module acquires to real time data carry out data mart modeling and data operation, wherein data mart modeling mainly refers to carry out the rough handlings such as range conversion to real time data, and data operation mainly comprises accumulative computing, logical operation etc.Processing or the data after adding up send to other subsystems by communication module, or send to alert process module to carry out corresponding alert process.
The dynamic lookup of vehicle intelligent terminal device drives administration module primary responsibility driver and binding, the Self-tipping of the invalid driver of support and the Seamless integration-of newly-increased driver, management work such as supporting increase, the deletion of driver, revise, search.
Vehicle intelligent terminal alert data processing module provides warning defined function, and accept vehicle intelligent terminal send according to report to the police definition send abnormal data, according to these abnormal data alert process modules provide alarm indication, alert process, alarm filter, warning hide, alarm logging, alarm operation information record, print-on-alarm function.And alert process module supports multiple type of alarm and multiple type of alarm.
Vehicle intelligent terminal trend data processing module provides car-mounted terminal historical trend to show and real-time tendency Presentation Function, and can support that the time period distributes and multiple trend display mode.
The intercommunications such as the transmitting-receiving of the order in Vehicular intelligent terminal communication processing module primary responsibility vehicle intelligent terminal monitoring of tools process between each module, data and state, and and external information system, PERCOM peripheral communication between third party application.
High performance distributed computing subsystem bears the calculation task of intelligent position service colligate platform, provides quick, high performance calculation services.This subsystem is made up of following 2 modules:
Scheduler module is responsible for scheduling clustered node and is completed calculating, thus coordinates the operation of calculation task.Scheduler is divided into job initialization submodule and job scheduling submodule.The calculation task received is put into an internal queues by job initialization submodule, transfers to job scheduler submodule to dispatch, and carries out initialization to it.Job scheduler submodule is responsible for, according to dispatching algorithm, the operation of submission is assigned to the lighter computing node of load.
Task tracker module performs concrete calculation task, performs the calculation task after job partitioning and follows the tracks of executing state.Each task tracker example runs a simple circulation and regularly sends " heartbeat " to Scheduler module." heartbeat " informs whether Scheduler module oneself survives, and also serves as message channel between the two simultaneously.As the part of " heartbeat ", whether task tracker module can indicate it and be ready to run new task, and if so, Scheduler module can distribute a task for it, and uses the rreturn value of " heartbeat " to communicate with task tracker module, issues task.
Mass data distributed storage subsystem provides the storage and management service of mass data for other subsystems, and be the basis that whole system is run, this subsystem is made up of following 3 modules:
The large data memory module of haulage vehicle is the module that the large data uploaded for vehicle intelligent terminal carry out store and management, and as the key sound video data etc. after haulage vehicle warning, its data volume is comparatively large, then can store by this memory module.This module is primarily of index data node and back end composition, and the metadata store of generic-document is at index data node, and data then disperse to be stored on different data servers.In this module, each number, according to there being its copy data, ensures the consistance between them by distributed information log system between principal and subordinate's data.Only have primary copy data to provide access at ordinary times, when after the node failure of primary copy data place, access automatically switches to from copy data.
Haulage vehicle small data memory module is the module that the small data uploaded for vehicle intelligent terminal carries out store and management, and as positional information and the vehicle sensory information of haulage vehicle, its data are usually less, then can store by this memory module.This module adopts storage virtualization technology that organic combination is carried out in storage hardware, storing software and storage administration, defines one and supports that virtualized extendible dawn cloud stores, and provide unified management platform, simplify system manager's work.Pass through storage management software, the numerous memory node of Intel Virtualization Technology is adopted to form storage pool, can support more than 10,000 virtual volume, these virtual volumes can be distributed to different users and use, user can share these hardware, but cannot access the data of other users, and the data of each user are mutually independently.
The daily critical data of vehicle that haulage vehicle data calamity is responsible for storing for memory module carries out disaster-tolerant backup.When disaster occurs, calamity can be recovered the daily critical data of vehicle with Backup Data for memory module.
Configurationization soft plug-in management subsystem is the important component part of basic cloud platform, be mainly used in that Dynamic expansion supported by structure one, software environment when dynamically changing the operation of system action, for software function component (or plug-in unit) basic in system provide plug-in unit, the insert receptacle of micro-kernel mechanism, this subsystem is made up of following 4 modules:
The mode developed plug-in unit, organize plug-in unit, dispose soft plug-in unit in the soft plug-in definition module definition soft insert receptacle of configurationization.Soft plug-in management subsystem realizes dynamic soft plug-in management mechanism by the class load mechanism of the bag shared mechanism between the metadata definition mode of soft plug-in unit, soft plug-in unit and soft plug-in unit.
Life cycle management modular structure, on the basis of the soft plug-in management subsystem of configurationization, makes the soft plug-in management service of configurationization to manage the life cycle of plug-in unit dynamically.The function of life cycle management module is the definition to soft plug-in unit life cycle on the one hand, and the life cycle state of soft plug-in unit comprises: install, resolve, start, activate, stop and unloaded; Meanwhile, the life cycle of life cycle management module in charge to soft plug-in unit is changed.
The function of soft plug-in unit communication management module is that to set up with service be the soft plug-in unit communication mechanism of core.Communication between soft plug-in unit and sharing functionality is completed by the bag shared mechanism provided to the registration service of soft plug-in unit communication management module and configurationization soft plug-in management subsystem.
For other subsystems and component, the application in the soft insert receptacle of configurationization provides the infrastructure of disposing and managing to soft plug-in security administration module, ensures that the soft insert receptacle of configurationization can control the soft plug-in unit assigned in wherein.
Distributed application integration subsystem is by the conversion of data communication format, this subsystem is as external system Access Layer, one side realizes the integrated of different communication protocol between external system and data layout that is outside access data is changed, respective services for intelligent position service colligate platform has docking of software platform with client and provides interface easily, and intelligent position service colligate platform is possessed and existed system rapid abutting joint, integrated ability; On the other hand, shielding platform inside realizes details, realizes the transparent service to external system, is the important foundation that intelligent position service colligate platform service is expanded.This subsystem is made up of following 3 modules:
Message receiver module is responsible for the cut-in operation of external message, and the message of external system enters service system by message receiver, and message is forwarded to corresponding message transformer module.
The major function of message transformer module forwards the message format of serving in next isomery source to message receiver module to change, the form of XML file is adopted to encapsulate by unified for message format, the form of unified message, and the universal data format being finally converted to intelligent position service colligate platform.
The message that message forwarder module is changed message transformer is filtered, route etc., and the message that source is served is sent to the receiving end of object service, and object service, by resolving the message after format, provides service to caller.
For the related service of carrier of CNPC and group of CNPC can be supported better, cloud computing support platform provides distributed flow scheduling and ADMINISTRATION SUBSYSTEM, by abstract for the links in logistics transportation processing procedure and emergency scheduling be workflow, and carry out dispatching and manage to the implementation of workflow.This subsystem is made up of following 3 modules:
Flow definition module carries out modeling by Process Modeling Language to service link, describes the various actions of flow process.The Process Modeling Language that this module is now supported is BPMN2.0.In flow definition process, user is by Process Modeling Language definitim flow, and product process definition configuration file, for other module.
Flow engine module is the nucleus module of flow performing, and it is with flow definition configuration file for input, and defined by process of analysis, Establishing process example also runs.In operational process, flow engine module can regularly by the intermediateness of flow process stored in database, be convenient to user on the one hand by management tool monitoring flow process practice condition, prevent the loss of flow process intermediate data after system crash on the other hand.
The flow performing state of workflow management tool model by preserving in acquisition database, for user provides visual management and monitoring function.User sees the current each flow state (comprising flow process progress, the Output rusults etc. of each activity of flow process), the current all flow definitions that are running by management tool module, and distributes to the task of each user.
Cloud computing cluster management subsystem mainly completes monitoring cloud computing being supported to subsystem running status and hardware infrastructure, realizes the unified management to system.This subsystem is made up of following 2 modules:
Cluster system hardware state monitoring module mainly collects the running state information (comprising: mass data distributed storage and ADMINISTRATION SUBSYSTEM, high performance distributed computing subsystem, distributed flow scheduling and ADMINISTRATION SUBSYSTEM, the soft plug-in management subsystem of configurationization) of the hardware status information (comprising: CPU, internal memory, disk space service condition etc.) of cloud computing node and each cloud computing subsystem, and reports server set cluster management system; Meanwhile, each steering order (as: startup, stopping etc. of service) of issuing of reception server cluster management system.
Cluster system cloud computing platform service management module is divided into cluster state to collect submodule, hardware management submodule, Service Management submodule, Role Management submodule.Wherein, cluster state collects the hardware and software running status that submodule is responsible for receiving, processing each node server, and the status information after process is supplied to hardware management, Service Management and Role Management three submodules respectively.Hardware management submodule mainly completes the function monitoring node server hardware running status, and can carry out the operations such as the interpolation of Control Server, deletion, startup and stopping.Service Management submodule mainly monitors the running status of each cloud service from software service aspect, and controls the integrated operation of corresponding cloud service, as the startup, stopping, deployment etc. of service.Each cloud service comprises one or more service role, and Role Management submodule carries out fine-grained monitoring from role's aspect to cloud service, and completes the control operated corresponding role, as the format etc. of metadata node.
Cloud computing supports the hardware deployment scheme of subsystem as shown in Figure 2.
Computational resource pond comprises cloud computing cluster management device, types of applications server, vehicle intelligent terminal information collecting platform equipment, high performance distributed computing equipment etc.Wherein: cloud computing cluster management device, types of applications server Intrusion Detection based on host Intel Virtualization Technology form virtual computing resource partitioning jointly; Vehicle intelligent terminal information collecting device configuration information acquisition platform subregion; High performance distributed computing equipment forms distributed computing resource subregion.
Consider that blade server extendability is too poor, require very high to machine room, the cost performance of two-way rack-mount server is too high, so virtual computing resource partitioning adopts No. four rack-mount servers based on IntelE7 series 8 core CPU, every station server has 32 Core, according to 8GB/Core, then every station server configuration 256GB internal memory, in addition because virtual machine nodes and rear end stores and front end data acquisition platform carries out a large amount of data exchange operation, traditional gigabit networking can not satisfy the demands, consider to need supervising the network and data network to separate from security standpoint in addition, so configure a set of 10,000,000,000 networks to carry out exchanges data use.
According to the reckoning of operation system number of users and visit capacity, this programme configures 150 four road servers, amounts to 4800core, 38400GB internal memory.In addition, 20 two-way servers are configured, as the management server of virtual computing resource partitioning.
Virtual computing resource partitioning adopts IP-SAN pattern storage system as rear end shared memory systems, according to the VM supporting capacity of four road servers, ensure its communication ability of business network, storage networking, supervising the network, every station server configures 2 10G Ethernet cards, 4 1G Ethernet cards, wherein 10G Ethernet card is used for service network and storage network, and 1G Ethernet card is used for supervising the network.Therefore need that the cloud network switching equipment at each operating service center can provide the access capability of 300 1G ports, 150 with million ports up to ten thousand.
In the computational resource pond that server is formed, the virtual machine that business subsystem uses can also build the application cluster of load balancing by the LB business board of H3CS12518, stronger traffic handing capacity is formed by being polymerized multiple virtual computing resource, under the prerequisite of economy keeping computational resource, obtain better business processing speed, improve application service quality.
As the virtual firewall technology of the H3CF1000 fire wall of Intranet fire wall, the network protection service of certainly serving can also be provided for the virtual resource pond of different user/tissue, user/tissue according to the needs of the application system of self, can define the security strategy of oneself.
Can support the collection of 1000 station terminals according to every single server, then 300,000 station terminals need 300 station informations to gather service equipment.The major part work of this kind equipment is just done and is data cachedly namely made forward process, therefore lower to the requirement of equipment, but need reliable and stable, buffer memory needs are larger, so employing two-way server, every station server adopts IntelXeon56204core processor, configuration 64GB internal memory, 2 gigabit Ethernet mouths.
Operating service center needs for information collecting platform subregion provides 600 1GB access interface.
High performance distributed computing resource partitioning builds based on Map/Reduce algorithm, realizes the calculation task of large-scale data, improves the efficiency and reliability that calculate, result of calculation is outputted to each subsystem, for report display, and the functions such as intelligent predicting.
MapReduce is typical distributed computing technology, and by being polymerized large-scale computing power and storage capacity, process mass data, is currently mainly used in the application such as data analysis, data mining.
Because the scale of high performance distributed computing resource partitioning and data volume, computation complexity is directly proportional, therefore certain scale competence exertion is needed to go out usefulness, current period builds the stage because be at the beginning of equipment, it is upper and lower that data volume is about 300TB, Hadoop cluster suggestion employing 3 copy mode, therefore the data storage capacities of more than 900TB is about needed, each computing node configures 2 pieces of 300GBSAS hard disks for installing operating system, 6 pieces of 1TBSATA hard disks are used for data and store, every node 6TB, then need computing node 900/6=150 platform altogether, consider certain calculating and memory margin, therefore native system configures 200 computing nodes, can expand online at any time.The configuration of high performance distributed computing resource partitioning is as shown in the table, adopts two-way server, and every station server adopts IntelXeon56204core processor, configuration 16GB internal memory, 2 gigabit Ethernet mouths.Surveillance center provides 400 1GB access interface for information collecting platform subregion.
Claims (8)
1. a cloud computing support system, is characterized in that, comprising: vehicle intelligent terminal information gathering subsystem, for collecting the information of vehicle intelligent terminal equipment; High performance distributed computing subsystem, for bearing the calculation task of intelligent position service system; Mass data distributed storage subsystem, for providing the storage and management service of mass data for other subsystems; The soft plug-in management subsystem of configurationization, supports Dynamic expansion for building one, software environment when dynamically changing the operation of system action; Distributed application integration subsystem, integrated for what realize for different communication protocol between external system, and shielding harness inside realizes details; Distributed flow scheduling and ADMINISTRATION SUBSYSTEM, for by abstract for the links in logistics transportation processing procedure and emergency scheduling be workflow, and carry out dispatching and manage to the implementation of workflow; Cloud computing cluster management subsystem, for completing monitoring cloud computing being supported to subsystem running status and hardware infrastructure.
2. cloud computing support system according to claim 1, it is characterized in that, described vehicle intelligent terminal information gathering subsystem comprises vehicle intelligent terminal real-time data acquisition module, vehicle intelligent terminal real time data processing module, vehicle intelligent terminal device drives administration module, vehicle intelligent terminal alert data processing module, vehicle intelligent terminal trend data processing module and vehicle intelligent terminal Communications Processor Module; Described vehicle intelligent terminal real-time data acquisition module is used for gathering real time data from vehicle intelligent terminal equipment, and provides device data loop back function; Described vehicle intelligent terminal real time data processing module be used for vehicle intelligent terminal real-time data acquisition module acquires to real time data carry out data mart modeling and computing; Described vehicle intelligent terminal device drives administration module is used for dynamic lookup and the binding of being responsible for driver; Described vehicle intelligent terminal alert data processing module is used for providing warning defined function, and accepts the abnormal data sent according to definition of reporting to the police of vehicle intelligent terminal transmission; Described vehicle intelligent terminal trend data processing module, shows and real-time tendency Presentation Function for providing vehicle termination historical trend; Described vehicle intelligent terminal Communications Processor Module, for the transmitting-receiving of the order in responsible vehicle intelligent terminal monitoring of tools process between each module, data and state.
3. cloud computing support system according to claim 1, is characterized in that, described high performance distributed computing subsystem comprises Scheduler module and task tracker module; Described Scheduler module is responsible for scheduling clustered node and is completed calculating, thus coordinates the operation of calculation task; Described task tracker module performs concrete calculation task, performs the calculation task after job partitioning and follows the tracks of executing state.
4. cloud computing support system according to claim 1, is characterized in that, described mass data distributed storage subsystem comprises large data memory module, small data memory module and calamity for memory module; Described large data memory module is the module that the large data uploaded for vehicle intelligent terminal carry out store and management, primarily of index data node and back end composition; Described small data memory module is the module that the small data uploaded for car-mounted terminal carries out store and management, adopts storage virtualization technology storage hardware, storing software and storage administration to be organically combined; The daily critical data of vehicle that described calamity is responsible for storing for memory module carries out disaster-tolerant backup.
5. cloud computing support system according to claim 1, is characterized in that, described configurationization soft plug-in management subsystem comprises soft plug-in definition module, life cycle management module, soft plug-in unit communication management module and soft plug-in security administration module; The mode developed plug-in unit, organize plug-in unit, dispose soft plug-in unit in the described soft plug-in definition module definition soft insert receptacle of configurationization; Described life cycle management module is used for defining soft plug-in unit life cycle, changes the life cycle of soft plug-in unit simultaneously; Described soft plug-in unit communication management module is for completing communication between soft plug-in unit and sharing functionality; For other subsystems and component, the application in the soft insert receptacle of configurationization provides the infrastructure of disposing and managing to described soft plug-in security administration module.
6. cloud computing support system according to claim 1, is characterized in that, described distributed application integration subsystem comprises message receiver module, message transformer module and message forwarder module; Described message receiver module is responsible for the cut-in operation of external message; The message format that described message transformer module is used for forwarding message receiver module the isomery source service come is changed; Described message forwarder module, the message for changing message transformer is filtered and route, and the message that source is served is sent to the receiving end of object service.
7. cloud computing support system according to claim 1, is characterized in that, described distributed flow scheduling and ADMINISTRATION SUBSYSTEM comprise flow definition module, flow engine module and workflow management tool model; Described flow definition module carries out modeling by Process Modeling Language to service link, describes the various actions of flow process; Described flow engine module is with flow definition configuration file for input, and defined by process of analysis, Establishing process example also runs; The flow performing state of described workflow management tool model by preserving in acquisition database, for user provides visual management and monitoring function.
8. cloud computing support system according to claim 1, is characterized in that, described cloud computing cluster management subsystem comprises cluster system hardware state monitoring module and cluster system cloud computing platform service management module; Described cluster system hardware state monitoring module for the running state information of the hardware status information and each cloud computing subsystem of collecting cloud computing node, and reports server set cluster management system; Described cluster system cloud computing platform service management module comprises cluster state and collects submodule, hardware management submodule, Service Management submodule and Role Management submodule, described cluster state collects the hardware and software running status that submodule is responsible for receiving, processing each node server, and the status information after process is supplied to other three submodules respectively; Described hardware management submodule monitors the function of node server hardware running status for completing; Described Service Management submodule monitors the running status of each cloud service from software service aspect, and controls the integrated operation of corresponding cloud service; Described Role Management submodule carries out fine-grained monitoring from role's aspect to cloud service, and completes the control operated corresponding role.
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| CN105608155A (en) * | 2015-12-17 | 2016-05-25 | 北京华油信通科技有限公司 | Massive data distributed storage system |
| CN105893187A (en) * | 2016-04-01 | 2016-08-24 | 广州唯品会网络技术有限公司 | Mirror image data generation method and electronic equipment |
| CN106406929A (en) * | 2016-08-25 | 2017-02-15 | 成都交大光芒科技股份有限公司 | Implementation method of distributed informatization application integration platform application plug-in container |
| CN106651277A (en) * | 2017-01-04 | 2017-05-10 | 南阳师范学院 | Regional logistics information-based network transmission system and data analysis method |
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| CN105893187A (en) * | 2016-04-01 | 2016-08-24 | 广州唯品会网络技术有限公司 | Mirror image data generation method and electronic equipment |
| CN106406929A (en) * | 2016-08-25 | 2017-02-15 | 成都交大光芒科技股份有限公司 | Implementation method of distributed informatization application integration platform application plug-in container |
| CN106651277A (en) * | 2017-01-04 | 2017-05-10 | 南阳师范学院 | Regional logistics information-based network transmission system and data analysis method |
| CN107248931A (en) * | 2017-06-06 | 2017-10-13 | 安徽赛福贝特信息技术有限公司 | A kind of security protection operation management platform based on data cloud |
| CN107819854A (en) * | 2017-11-14 | 2018-03-20 | 深圳市华讯方舟软件信息有限公司 | Public safety system and construction method based on cloud edge calculations |
| CN107846468A (en) * | 2017-11-16 | 2018-03-27 | 北京卫星信息工程研究所 | Car networking application system and its control method based on cloud computing technology |
| CN108255539B (en) * | 2017-12-21 | 2021-03-12 | 华风象辑（北京）气象科技有限公司 | Meteorological satellite data processing system based on cloud computing and data virtualization |
| CN108255539A (en) * | 2017-12-21 | 2018-07-06 | 华风象辑（北京）气象科技有限公司 | Weather satellite data processing system based on cloud computing and data virtualization |
| CN108282540A (en) * | 2018-02-11 | 2018-07-13 | 广州地铁设计研究院有限公司 | A kind of subway monitoring system and its monitoring method |
| CN109165027A (en) * | 2018-08-10 | 2019-01-08 | 郑州市景安网络科技股份有限公司 | VME operating system installation method, device, equipment and readable storage medium storing program for executing |
| CN109165027B (en) * | 2018-08-10 | 2021-09-28 | 郑州市景安网络科技股份有限公司 | Virtual machine operating system installation method, device, equipment and readable storage medium |
| CN110505093A (en) * | 2019-08-26 | 2019-11-26 | 顺德职业技术学院 | One kind being based on cloud computing data application terminal device |
| CN112579693A (en) * | 2019-09-29 | 2021-03-30 | 中国石油化工股份有限公司 | Underground distributed micro-cloud computing system while drilling |
| CN112579693B (en) * | 2019-09-29 | 2024-05-24 | 中国石油化工股份有限公司 | Downhole distributed micro cloud computing system while drilling |
| CN113783954A (en) * | 2021-09-07 | 2021-12-10 | 中控智网(北京)能源技术有限公司 | Oil and gas pipeline component data transmission system and method |
| CN116721485A (en) * | 2023-08-04 | 2023-09-08 | 浙江大学 | Automobile hub bearing monitoring system flow computing platform based on container technology |
| CN116721485B (en) * | 2023-08-04 | 2023-10-24 | 浙江大学 | Automobile hub bearing monitoring system flow computing platform based on container technology |
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