WO2018161220A1 - 监控***中云平台的分组任务分配方法及*** - Google Patents

监控***中云平台的分组任务分配方法及*** Download PDF

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Publication number
WO2018161220A1
WO2018161220A1 PCT/CN2017/075769 CN2017075769W WO2018161220A1 WO 2018161220 A1 WO2018161220 A1 WO 2018161220A1 CN 2017075769 W CN2017075769 W CN 2017075769W WO 2018161220 A1 WO2018161220 A1 WO 2018161220A1
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group
devices
task
monitoring system
cloud platform
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PCT/CN2017/075769
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English (en)
French (fr)
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马岩
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深圳市博信诺达经贸咨询有限公司
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Priority to PCT/CN2017/075769 priority Critical patent/WO2018161220A1/zh
Publication of WO2018161220A1 publication Critical patent/WO2018161220A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/40Support for services or applications

Definitions

  • the present invention relates to the field of monitoring, and in particular, to a method and system for allocating a grouping task of a cloud platform in a monitoring system.
  • the monitoring system consists of 5 parts: camera, transmission, control, display, and record registration.
  • the camera transmits the video image to the control host through the coaxial video cable, and the control host distributes the video signal to each monitor and recording device, and simultaneously records the voice signal to be transmitted into the recorder.
  • the operator can issue commands to control the up, down, left, and right movements of the pan/tilt and focus the zoom on the lens, and can be implemented in the multi-channel camera and the pan/tilt by the control host. Switch between. With special recording processing mode, images can be recorded, played back, processed, etc., so that the recording effect is optimal.
  • the cloud service of the existing monitoring system reduces the cost of the monitoring system, but the task allocation method of the existing monitoring system is to allocate tasks based on the load of a single device, and the task allocation overhead is large.
  • the application provides a grouping task allocation method for a cloud platform in a monitoring system. It solves the disadvantage of the overhead of the prior art technical solution task allocation.
  • a method for allocating a grouping task of a cloud platform in a monitoring system comprising the following steps:
  • the monitoring system cloud platform receives the first task to be processed
  • the monitoring system cloud platform allocates the first task to the first group of devices according to a load balancing algorithm
  • the monitoring system instructs the first group of devices to sequentially assign the first task to the first device of the first group of devices.
  • the first group of devices includes: a plurality of devices allocated by the monitoring system, and the method further includes:
  • the first group of devices updates the devices in the first group of devices according to the heartbeat message. If the heartbeat message sent by the second device is not received within the set time, the second device is removed from the first group of devices.
  • the method further includes:
  • the monitoring system divides the grouping of each device according to the load of each device.
  • a packet task distribution system for a cloud platform in a monitoring system comprising:
  • a receiving unit configured to receive a first task that needs to be processed
  • a calculating unit configured to allocate the first task to the first group of devices according to a load balancing algorithm
  • an allocating unit configured to instruct the first group of devices to sequentially assign the first task to the first device in the first group of devices.
  • system further includes:
  • the processing unit is configured to update the device under the first group of devices according to the heartbeat message. If the heartbeat message sent by the second device is not received within the set time, the second device is culled out of the first group of devices.
  • the processing unit is further configured to divide a packet of each device according to a load of each device.
  • a monitoring system including: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus.
  • the wireless transceiver is configured to receive a first task that needs to be processed
  • the processor is configured to allocate the first task to the first group of devices according to the load balancing algorithm, and instruct the first group of devices to sequentially allocate the first task to the first device in the first group of devices.
  • the processor is specifically configured to: update the device in the first group of devices according to the heartbeat message, and if the heartbeat message sent by the second device is not received within the set time, the second device is removed from the first device. Group device.
  • the processor is specifically configured to divide a packet of each device according to a load of each device.
  • the technical solution provided by the present invention allocates the tasks in groups, and sequentially allocates them, which reduces the overhead of task allocation, so that it has the advantage of low overhead.
  • FIG. 1 is a flowchart of a method for allocating a grouping task of a cloud platform in a monitoring system according to a first preferred embodiment of the present invention
  • FIG. 2 is a structural diagram of a grouping task distribution system of a cloud platform in a monitoring system according to a second preferred embodiment of the present invention.
  • FIG. 3 is a hardware structural diagram of a monitoring system according to a second preferred embodiment of the present invention.
  • FIG. 1 is a schematic diagram of a grouping task allocation method of a cloud platform in a monitoring system according to a first preferred embodiment of the present invention. The method is as shown in FIG.
  • Step S101 The monitoring system cloud platform receives the first task to be processed.
  • Step S102 The monitoring system cloud platform allocates the first task to the first group of devices according to a load balancing algorithm.
  • Step S103 The monitoring system instructs the first group of devices to sequentially assign the first task to the first device in the first group of devices.
  • the technical solution provided by the present invention allocates the tasks in groups, and sequentially allocates them, which reduces the overhead of task allocation, so that it has the advantage of low overhead.
  • the first group of devices updates the devices in the first group of devices according to the heartbeat message. If the heartbeat message sent by the second device is not received within the set time, the second device is removed from the first group of devices.
  • the monitoring system divides the grouping of each device according to the load of each device.
  • FIG. 2 is a grouping task distribution system of a cloud platform in a monitoring system according to a second preferred embodiment of the present invention.
  • the system is as shown in FIG. 2, and includes:
  • the receiving unit 201 is configured to receive a first task that needs to be processed
  • the calculating unit 202 is configured to allocate the first task to the first group of devices according to a load balancing algorithm
  • the allocating unit 203 is configured to instruct the first group of devices to sequentially allocate the first task to the first device in the first group of devices.
  • the technical solution provided by the present invention allocates the tasks in groups, and sequentially allocates them, which reduces the overhead of task allocation, so that it has the advantage of low overhead.
  • the system may further include: a processing unit 204, configured to update the device under the first group of devices according to the heartbeat message, and if the heartbeat message sent by the second device is not received within the set time, the second device is removed.
  • a processing unit 204 configured to update the device under the first group of devices according to the heartbeat message, and if the heartbeat message sent by the second device is not received within the set time, the second device is removed. The first set of devices.
  • the processing unit 204 is further configured to divide a packet of each device according to a load of each device.
  • FIG. 3 is a monitoring system 30, including: a processor 301, a wireless transceiver 302, a memory 303, and a bus 304.
  • the wireless transceiver 302 is configured to transmit and receive data with and from an external device.
  • the number of processors 301 can be one or more.
  • processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means.
  • Monitoring system 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.
  • the wireless transceiver 302 is configured to receive a first task that needs to be processed.
  • the program code is stored in the memory 303.
  • the processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:
  • the processor 301 is configured to allocate the first task to the first group of devices according to the load balancing algorithm, and instruct the first group of devices to sequentially allocate the first task to the first device in the first group of devices.
  • the processor 301 herein may be a processing component or a general term of multiple processing components.
  • the processing element can be a central processor (Central) Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated) Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as one or more microprocessors (digital singnal Processor, DSP), or one or more Field Programmable Gate Arrays (FPGAs).
  • CPU central processor
  • ASIC Application Specific Integrated Circuit
  • DSP digital singnal Processor
  • FPGAs Field Programmable Gate Arrays
  • the memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.
  • RAM random access memory
  • non-volatile memory non-volatile memory
  • flash flash
  • Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.
  • the terminal may further include input and output means connected to the bus 304 for connection to other parts such as the processor 301 via the bus.
  • the input/output device can provide an input interface for the operator, so that the operator can select the control item through the input interface, and can also be other interfaces through which other devices can be externally connected.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

本发明公开了一种监控***中云平台的分组任务分配方法,所述方法包括如下步骤:监控***云平台接收需要处理的第一任务;监控***云平台按负载均衡算法将第一任务分配给第一组设备;监控***指示第一组设备将第一任务依次分配给第一组设备中的第一设备。本发明提供的技术方案具有效率高的优点。

Description

监控***中云平台的分组任务分配方法及*** 技术领域
本发明涉及监控领域,尤其涉及一种监控***中云平台的分组任务分配方法及***。
背景技术
监控***是由摄像、传输、控制、显示、记录登记5大部分组成。摄像机通过同轴视频电缆将视频图像传输到控制主机,控制主机再将视频信号分配到各监视器及录像设备,同时可将需要传输的语音信号同步录入到录像机内。 通过控制主机,操作人员可发出指令,对云台的上、下、左、右的动作进行控制及对镜头进行调焦变倍的操作,并可通过控制主机实现在多路摄像机及云台之间的切换。利用特殊的录像处理模式,可对图像进行录入、回放、处理等操作,使录像效果达到最佳。
现有的监控***的云服务降低了监控***的成本,但是现有的监控***的任务分配方法是基于单台设备的负载来分配任务的,任务分配的开销大。
技术问题
本申请提供一种监控***中云平台的分组任务分配方法。其解决现有技术的技术方案任务分配的开销大的缺点。
技术解决方案
一方面,提供一种监控***中云平台的分组任务分配方法,所述方法包括如下步骤:
监控***云平台接收需要处理的第一任务;
监控***云平台按负载均衡算法将第一任务分配给第一组设备;
监控***指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
可选的,所述第一组设备包括:监控***分配的多个设备,所述方法还包括:
第一组设备依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
可选的,所述方法还包括:
监控***依据每个设备的负载划分每个设备的分组。
第二方面,提供一种监控***中云平台的分组任务分配***,所述***包括:
接收单元,用于接收需要处理的第一任务;
计算单元,用于按负载均衡算法将第一任务分配给第一组设备;
分配单元,用于指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
可选的,所述***还包括:
处理单元,用于依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
可选的,所述处理单元,还用于依据每个设备的负载划分每个设备的分组。
第三方面,提供一种监控***,包括:处理器、无线收发器、存储器和总线,所述处理器、无线收发器、存储器通过总线连接,
所述无线收发器,用于接收需要处理的第一任务;
所述处理器,用于按负载均衡算法将第一任务分配给第一组设备,指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
可选的,所述处理器,具体用于依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
可选的,所述处理器,具体用于依据每个设备的负载划分每个设备的分组。
有益效果
本发明提供的技术方案将该任务按分组分配以后,依次分配,减少了任务分配的开销,所以其具有开销小的优点。
附图说明
为了更清楚地说明本发明实施例的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为本发明第一较佳实施方式提供的一种监控***中云平台的分组任务分配方法的流程图;
图2为本发明第二较佳实施方式提供的一种监控***中云平台的分组任务分配***的结构图。
图3为本发明第二较佳实施方式提供的一种监控***的硬件结构图。
本发明的实施方式
下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
请参考图1,图1是本发明第一较佳实施方式提出的一种监控***中云平台的分组任务分配方法,该方法如图1所示,包括如下步骤:
步骤S101、监控***云平台接收需要处理的第一任务。
步骤S102、监控***云平台按负载均衡算法将第一任务分配给第一组设备。
步骤S103、监控***指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
本发明提供的技术方案将该任务按分组分配以后,依次分配,减少了任务分配的开销,所以其具有开销小的优点。
可选的,第一组设备依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
可选的,监控***依据每个设备的负载划分每个设备的分组。
请参考图2,图2是本发明第二较佳实施方式提出的一种监控***中云平台的分组任务分配***,该***如图2所示,包括:
接收单元201,用于接收需要处理的第一任务;
计算单元202,用于按负载均衡算法将第一任务分配给第一组设备;
分配单元203,用于指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
本发明提供的技术方案将该任务按分组分配以后,依次分配,减少了任务分配的开销,所以其具有开销小的优点。
可选的,***还可以包括:处理单元204,用于依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
可选的,处理单元204,还用于依据每个设备的负载划分每个设备的分组。
参阅图3,图3为一种监控***30,包括:处理器301、无线收发器302、存储器303和总线304,无线收发器302用于与外部设备之间收发数据。处理器301的数量可以是一个或多个。本申请的一些实施例中,处理器301、存储器302和收发器303可通过总线304或其他方式连接。监控***30可以用于执行图1的步骤。关于本实施例涉及的术语的含义以及举例,可以参考图1对应的实施例。此处不再赘述。
无线收发器302,用于接收需要处理的第一任务。
其中,存储器303中存储程序代码。处理器901用于调用存储器903中存储的程序代码,用于执行以下操作:
处理器301,用于按负载均衡算法将第一任务分配给第一组设备,指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
需要说明的是,这里的处理器301可以是一个处理元件,也可以是多个处理元件的统称。例如,该处理元件可以是中央处理器(Central Processing Unit,CPU),也可以是特定集成电路(Application Specific Integrated Circuit,ASIC),或者是被配置成实施本申请实施例的一个或多个集成电路,例如:一个或多个微处理器(digital singnal processor,DSP),或,一个或者多个现场可编程门阵列(Field Programmable Gate Array, FPGA)。
存储器303可以是一个存储装置,也可以是多个存储元件的统称,且用于存储可执行程序代码或应用程序运行装置运行所需要参数、数据等。且存储器303可以包括随机存储器(RAM),也可以包括非易失性存储器(non-volatile memory),例如磁盘存储器,闪存(Flash)等。
总线304可以是工业标准体系结构(Industry Standard Architecture,ISA)总线、外部设备互连(Peripheral Component,PCI)总线或扩展工业标准体系结构(Extended Industry Standard Architecture,EISA)总线等。该总线可以分为地址总线、数据总线、控制总线等。为便于表示,图3中仅用一条粗线表示,但并不表示仅有一根总线或一种类型的总线。
该终端还可以包括输入输出装置,连接于总线304,以通过总线与处理器301等其它部分连接。该输入输出装置可以为操作人员提供一输入界面,以便操作人员通过该输入界面选择布控项,还可以是其它接口,可通过该接口外接其它设备。
需要说明的是,对于前述的各个方法实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本发明并不受所描述的动作顺序的限制,因为依据本发明,某一些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述的实施例均属于优选实施例,所涉及的动作和模块并不一定是本发明所必须的。
在上述实施例中,对各个实施例的描述都各有侧重,某个实施例中没有详细描述的部分,可以参见其他实施例的相关描述。
本领域普通技术人员可以理解上述实施例的各种方法中的全部或部分步骤是可以通过程序来指令相关的硬件来完成,该程序可以存储于一计算机可读存储介质中,存储介质可以包括:闪存盘、只读存储器(英文:Read-Only Memory ,简称:ROM)、随机存取器(英文:Random Access Memory,简称:RAM)、磁盘或光盘等。
以上对本发明实施例所提供的内容下载方法及相关设备、***进行了详细介绍,本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处,综上所述,本说明书内容不应理解为对本发明的限制。

Claims (9)

  1. 一种监控***中云平台的分组任务分配方法,其特征在于,所述方法包括如下步骤:
    监控***云平台接收需要处理的第一任务;
    监控***云平台按负载均衡算法将第一任务分配给第一组设备;
    监控***指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
  2. 根据权利要求1所述的方法,其特征在于,所述第一组设备包括:监控***分配的多个设备,所述方法还包括:
    第一组设备依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
  3. 根据权要求1所述的方法,其特征在于,所述方法还包括:
    监控***依据每个设备的负载划分每个设备的分组。
  4. 一种监控***中云平台的分组任务分配***,其特征在于,所述***包括:
    接收单元,用于接收需要处理的第一任务;
    计算单元,用于按负载均衡算法将第一任务分配给第一组设备;
    分配单元,用于指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
  5. 根据权利要求4所述的***,其特征在于,所述***还包括:
    处理单元,用于依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
  6. 根据权利要求5所述的***,其特征在于,所述处理单元,还用于依据每个设备的负载划分每个设备的分组。
  7. 一种监控***,包括:处理器、无线收发器、存储器和总线,所述处理器、无线收发器、存储器通过总线连接,其特征在于,
    所述无线收发器,用于接收需要处理的第一任务;
    所述处理器,用于按负载均衡算法将第一任务分配给第一组设备,指示第一组设备将第一任务依次分配给第一组设备中的第一设备。
  8. 根据权利要求7所述的监控***,其特征在于,所述处理器,具体用于依据心跳消息更新第一组设备下的设备,如在设定时间内未接收到第二设备发送的心跳消息,则将第二设备剔除出第一组设备。
  9. 根据权利要求7所述的监控***,其特征在于,所述处理器,具体用于依据每个设备的负载划分每个设备的分组。
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