CN114979188A - Self-healing method and device for edge equipment, electronic equipment and storage medium - Google Patents
Self-healing method and device for edge equipment, electronic equipment and storage medium Download PDFInfo
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Abstract
One or more embodiments of the present specification provide a self-healing method, apparatus, electronic device, and storage medium for an edge device, where the method includes: determining the health condition of the edge device contained in the edge device cluster; determining a second edge device from the edge device cluster according to the edge device information set and the task allocation condition of the first edge device under the condition that the health condition of the first edge device is abnormal; and issuing a self-healing instruction to the edge device cluster, wherein the self-healing instruction is used for indicating the second edge device to take over the task pre-distributed to the first edge device.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of computer technologies, and in particular, to a self-healing method and apparatus for an edge device, an electronic device, and a storage medium.
Background
The edge device is a physical device located at a remote position of a network edge as the name of the edge device is the name, because real electronic terminals (such as a camera, a sensor and the like) often generate a large amount of data, and if the data are all uploaded to a cloud, huge pressure on the cloud is inevitably caused; in order to share the pressure of the cloud, the edge device is operated, the edge device can be responsible for data calculation and storage work within the range of the edge device, and then the processed data is uploaded to the cloud by the edge device, so that cloud-edge cooperation is achieved, namely the close cooperation of the cloud edge is used for maximizing the application value of the cloud calculation and the edge calculation.
However, in the related art, if an edge device is abnormal, the operation and maintenance personnel can only be scheduled to manually overhaul the edge device to remove the fault.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure provide a self-healing method and apparatus for an edge device, an electronic device, and a storage medium.
To achieve the above object, one or more embodiments of the present disclosure provide the following technical solutions:
according to a first aspect of one or more embodiments of the present specification, a self-healing method for an edge device is provided, where the method is applied to a cloud server, and the cloud server maintains an edge device information set of an edge device cluster and a task allocation condition for an edge device included in the set; the method comprises the following steps:
determining the health condition of the edge device contained in the edge device cluster;
determining a second edge device from the edge device cluster according to the edge device information set and the task allocation condition of the first edge device under the condition that the health condition of the first edge device is abnormal;
and issuing a self-healing instruction to the edge device cluster, wherein the self-healing instruction is used for indicating the second edge device to take over the task pre-distributed to the first edge device.
According to a second aspect of one or more embodiments of the present specification, there is provided a self-healing method for an edge device, the method being applied to a second edge device in an edge device cluster, the method including:
acquiring a self-healing instruction issued by a cloud server, wherein the self-healing instruction is generated after a second edge device is determined according to a maintained edge device information set of an edge device cluster and a task allocation condition of a first edge device when the health condition of the first edge device in the edge device cluster is abnormal by the cloud server;
and according to the self-healing instruction, taking over the tasks pre-distributed to the first edge equipment.
According to a third aspect of one or more embodiments of the present specification, there is provided a self-healing apparatus for an edge device, where the apparatus is applied to a cloud server, and the cloud server maintains an edge device information set of an edge device cluster and a task allocation condition for an edge device included in the set; the device comprises:
a health status determining unit, configured to determine a health status of an edge device included in the edge device cluster;
a second edge device determining unit, configured to determine, when a health condition of a first edge device is abnormal, a second edge device from the edge device cluster according to the edge device information set and a task allocation condition of the first edge device;
and the instruction issuing unit is used for issuing a self-healing instruction to the edge equipment cluster, wherein the self-healing instruction is used for indicating the second edge equipment to take over the task pre-distributed to the first edge equipment.
According to a fourth aspect of one or more embodiments of the present specification, there is provided a self-healing apparatus for an edge device, the apparatus being applied to a second edge device in an edge device cluster, the apparatus including:
the acquisition unit is used for acquiring a self-healing instruction issued by a cloud server, and the self-healing instruction is generated after the cloud server determines a second edge device according to a maintained edge device information set of the edge device cluster and a task allocation condition of a first edge device under the condition that the health condition of the first edge device in the edge device cluster is abnormal;
and the replacing unit is used for replacing the task which is pre-distributed to the first edge equipment according to the self-healing instruction.
According to a fifth aspect of one or more embodiments herein, there is provided an electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor implements the steps of the method according to the first or second aspect by executing the executable instructions.
According to a sixth aspect of one or more embodiments of the present description, there is provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to the first or second aspect.
According to the scheme, the self-healing scheme of the edge device is provided, the edge device information set of the edge device cluster is maintained by the cloud server, the task allocation condition of the edge device is contained in the set, the cloud server can determine the health condition of the edge device contained in the edge device cluster, and the self-healing instruction is issued by the cloud under the condition that the health condition of the first edge device is abnormal, so that the second edge device replaces the task execution of the first edge device, the self-healing of the edge device is realized, even if operation and maintenance personnel do not go to the site to overhaul, the task on the edge device can be smoothly and continuously executed, and the normal operation of the task is guaranteed.
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Fig. 1 is an architecture diagram of a self-healing system of an edge device according to an exemplary embodiment;
fig. 2 is a flowchart of a self-healing method of an edge device according to an exemplary embodiment;
fig. 3 is a diagram illustrating neighbor edge device reporting according to an exemplary embodiment;
fig. 4 is a schematic diagram of a primary edge device reporting according to an exemplary embodiment;
FIG. 5 is a schematic view of a road parking management apparatus provided in an exemplary embodiment;
FIG. 6 is a schematic diagram of a road parking management apparatus according to an exemplary embodiment;
fig. 7 is a flowchart of a self-healing method of an edge device according to an exemplary embodiment;
FIG. 8 is a schematic block diagram of an apparatus provided in an exemplary embodiment;
fig. 9 is a block diagram of a self-healing apparatus of an edge device according to an exemplary embodiment;
fig. 10 is a block diagram of a self-healing apparatus of an edge device according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with aspects of one or more embodiments of the specification.
It should be noted that: in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described herein. In some other embodiments, the method may include more or fewer steps than those described herein. Moreover, a single step described in this specification may be broken down into multiple steps for description in other embodiments; multiple steps described in this specification may be combined into a single step in other embodiments.
The edge device is a physical device located at a remote position of a network edge as the name implies, because real electronic terminals (such as a camera, a sensor and the like) often generate a large amount of data, if the data are all uploaded to a cloud end, huge pressure of the cloud end can be caused, in order to share the pressure of the cloud end, the edge device is generated, the edge device can be responsible for data calculation and storage work within the range of the edge device, and then the processed data are uploaded to the cloud end by the edge device, so that cloud edge coordination is realized, namely the close coordination of the cloud edge maximizes the application value of the cloud calculation and the edge calculation.
However, in the related art, if an edge device is abnormal, the cloud may generate corresponding warning information, so that the operation and maintenance personnel may go to the site to perform manual maintenance based on the warning information to remove the fault. However, the manual troubleshooting method inevitably causes additional operation and maintenance cost, and the task of the edge device cannot be smoothly and continuously executed until the troubleshooting is completed.
In view of the above, the present specification provides a self-healing method for an edge device to solve the above technical problems in the related art. The self-healing method of the edge device described in the present description is described in detail below with reference to fig. 1 to 9.
Referring to fig. 1, fig. 1 is a schematic diagram of an architecture of a self-healing system of an edge device according to an exemplary embodiment. As shown in fig. 1, the system may include an edge device cluster 10 and a cloud server 11, where the edge device cluster 10 may include an edge device 101, an edge device 102, and an edge device 103.
The cloud server 11 may be deployed in a virtual server borne by a host cluster, where the cloud server 11 may be configured with the self-healing method for edge devices described in this specification, and the cloud server 11 maintains an edge device list of the edge device cluster and a task allocation condition of each edge device, at this time, the cloud server may determine a health condition of an edge device (such as the edge device 101, the edge device 102, and the edge device 103) included in the edge device cluster 10, and when a health condition of a first edge device is abnormal, the cloud server 11 may determine a second edge device from the edge device cluster according to the edge device information set list and the task allocation condition of the first edge device, for example, assuming that the health condition of the edge device 101 is abnormal, the cloud server 11 may determine that the edge device 102 is the first edge device according to the edge device information set list and the task allocation condition of the edge device 101 And (4) two edge devices. At this time, the cloud server 11 issues a self-healing instruction, which is used to instruct the edge device 102 to take over the task pre-allocated to the edge device 101.
A plurality of edge devices (such as the edge device 101, the edge device 102, and the edge device 103) form an edge device cluster 10, and the edge device 101 may be deployed in a hardware device that supports multifunctional integration such as communication, control, device access, etc., and effectively manages and controls access, for example, the hardware device may be a PLC (Programmable Logic Controller), an intelligent router, an intelligent sensor, or the like. When the edge device is a hardware device without a data acquisition function, such as a PLC, an intelligent router, or the like, the edge device needs to be additionally connected with a sensor, the sensor acquires data, and the edge device classifies, analyzes, and encapsulates the data. When the edge device is an intelligent sensor, the intelligent sensor collects, classifies, analyzes and encapsulates data on site, and uploads the data to the cloud server 11. If the first edge device is abnormal, the second edge device can take over the task of the first edge device based on the self-healing instruction issued by the cloud server 11, so that the self-healing of the edge device is realized.
Based on above-mentioned edge device's self-healing system's framework, through the edge device information set of maintaining the edge device cluster by the high in the clouds server and the task allocation condition to the edge device that this set contains, make the high in the clouds server can confirm the health status of edge device that the edge device cluster contains, and under the health status of first edge device is unusual circumstances, send the self-healing instruction by the high in the clouds, thereby make second edge device take over the task execution of first edge device, then realize the self-healing of edge device, even if fortune dimension personnel did not go the scene before and overhaul, also can ensure that the task on the edge device can be smooth, continuously carry out, guaranteed the normal operating of task.
For convenience of description, the self-healing method of the edge device described in this specification is described in detail below with reference to the accompanying drawings.
Referring to fig. 2, fig. 2 is a flowchart illustrating a self-healing method for an edge device according to an exemplary embodiment. As shown in fig. 2, the method may include the steps of:
The health condition of the edge equipment can be divided into two types, wherein one type is normal, and the other type is abnormal; the abnormal health condition may refer to an exception being present in the software or hardware of the edge device, or the abnormal health condition may refer to the edge device going offline. In other words, although the edge device is displayed online, it cannot normally execute tasks due to software or hardware failure, and at this time, it can be determined that the health condition of the edge device is abnormal; or, the edge device displays the offline, and although it cannot be determined whether the edge device has a software or hardware fault, because the offline cannot continue to execute the task, it may also directly determine that the health condition of the edge device is abnormal.
The present description does not limit the manner of determining the health status of the edge devices included in the edge device cluster, and in an embodiment, the cloud server may autonomously monitor the health status of the edge devices included in the edge device cluster; the autonomous monitoring mode may be a heartbeat mechanism, for example, the edge devices in the edge device cluster may send heartbeat signals to the cloud server according to a preset period (e.g., every 2 seconds), and when the cloud server does not receive the heartbeat signals even after exceeding the preset period (2 seconds), the cloud server may determine that the health condition of the edge device is abnormal. Certainly, the autonomous monitoring may also be performed in a manner that the cloud server issues a response signal to the edge device in the edge device cluster, for example, the cloud server issues the response signal every 2 seconds, and if the edge device feedback signal is not received within a preset period (for example, 2 seconds) after the response signal is issued, it may be determined that the health condition of the edge device is abnormal.
In another embodiment, in order to relieve the pressure of the cloud server, the cloud server may also receive health condition information actively reported by the edge device cluster; the health condition information includes reporting by a neighbor edge device of the abnormal edge device, or reporting by a master edge device in the edge device cluster in a unified manner. In some scenarios, because the reporting of the edge device cannot be normally achieved due to the abnormality, the health condition information of the abnormal edge device may be reported by a neighboring edge device of the abnormal edge device, as shown in fig. 3, when the health condition of the edge device 102 is abnormal, the neighboring edge device 101 may also discover the abnormal edge device 102 in time based on the heartbeat mechanism, and the neighboring edge device 101 may report the health condition information of the edge device 102 to the cloud server 11. In other scenarios, in order to reduce the interaction between the edge devices in the cluster and the cloud server, a main edge device may be configured in the edge device cluster, or referred to as a master node, as shown in fig. 4, at this time, the main edge device 401 may discover the abnormal edge device 102 in time based on the heartbeat mechanism, and report the abnormal edge device 102 to the cloud server by the main edge device 401 in a unified manner, so as to reduce the interaction between the edge devices and the cloud server, and reduce the pressure on the cloud server. It should be noted that, the selection manner of the main edge device may be various, for example, the edge device with the largest ID may be used as the main edge device, or the edge device may be randomly selected as the main edge device, or the edge device with the largest priority may be used as the main edge device according to a preset priority, and the like, which is not limited in this specification. Of course, because the main edge device may also be abnormal, a standby edge device may also be set at this time, and the standby edge device may also discover whether the main edge device is abnormal based on the heartbeat mechanism, and when the main edge device is abnormal, the standby edge device replaces the task of the main edge device to execute. Based on the three modes of autonomous monitoring by the cloud server and/or active reporting by the edge device cluster, the health condition of the edge device can be determined by the cloud server, so that abnormal edge devices can be found in time.
And 204, determining a second edge device from the edge device cluster according to the edge device information set and the task allocation condition of the first edge device under the condition that the health condition of the first edge device is abnormal.
The specific expression form of the edge device set can be a network topology, that is to say, the cloud server can use the form of the network topology as the edge device information set, and the network topology can record the connection relationship between each edge device of the edge device cluster, and of course, the cloud server can also display the network topology in a display area in the form of a chart, such as a display screen of a data center, that is, the information visualization processing is performed, so that the operation and maintenance personnel can more intuitively know the connection relationship of the edge devices in the edge device cluster. It should be noted that, when the edge device is further bound with a sensor (e.g., a camera), the edge device information set may also record a binding relationship between the edge device and the sensor, and the binding relationship may be regarded as a task allocation condition as described above.
In an embodiment, the cloud server may select, as the second edge device, an edge device that supports the task and has idle resources from the edge device information set according to a task pre-allocated to the first edge device. In other words, the determination of the second edge device is not any edge device, because the first edge device still normally executes the task before the abnormality occurs, in order to continue the execution of the task, the second edge device determined by the cloud server needs to be able to support the task execution of the first edge device, and the second edge device has an idle resource for executing the task. Of course, in an embodiment, there may be a plurality of optional second edge devices, that is, there are a plurality of edge devices that satisfy the above-mentioned screening condition, and at this time, the cloud server may further screen, for example: the candidate second edge device closest to the first edge device may be selected as the final second edge device, the final second edge device may be randomly determined from the candidate second edge devices, the final second edge device may be determined from the candidate second edge devices according to a preset priority, or the candidate second edge devices may be sequentially selected according to the ID size of the device, that is, the candidate second edge device with the largest (or smallest) ID of the device is selected as the final second edge device, and the like, which is not limited in this specification.
And 206, issuing a self-healing instruction to the edge device cluster, wherein the self-healing instruction is used for indicating the second edge device to take over the task pre-distributed to the first edge device.
As described above, the cloud server may determine the second edge device, and the cloud server may generate the self-healing instruction after determining the second edge device. In an embodiment, the cloud server may issue the self-healing instruction to the second edge device; or, under the condition that the main edge device exists in the edge device cluster, the self-healing instruction is issued to the main edge device. As shown in fig. 4, assuming that the main edge device 401 exists in the edge device cluster, the cloud server may issue the self-healing command to the main edge device 401, and the main edge device forwards the self-healing command to the second edge device. Through the main edge device, the interaction between the cloud server and the edge device cluster can be reduced, and the operating pressure of the cloud server is reduced.
In an embodiment, because the first edge device does not perform a general normal task, at this time, the cloud server may also issue configuration information adopted by the first edge device to the edge device cluster, so that the second edge device performs a task that is taken over from the first edge device according to the configuration information. Of course, if the first edge device executes a general task, or the second edge device has received and stored the configuration information at a certain task relay time, the configuration information adopted by the first edge device may not be issued at this time, and this specification does not limit this. In order to ensure that the second edge device can normally take over the task of the first edge device, the cloud server may issue configuration information adopted by the first edge device. For example, in a road parking management scenario, the configuration information may be configuration information of a road line, configuration information of a parking rule, and the like, so that the second edge device may normally take over the first edge device and perform a corresponding task.
In an embodiment, the edge devices in the edge device cluster may be in the same multicast group, and at this time, the cloud server may receive device information of a newly added edge device reported by the edge device cluster, where the newly added edge device is discovered by any edge device in the edge device cluster according to notification information sent by the newly added edge device for the multicast group; the cloud server can update the edge device information set of the edge device cluster maintained by the cloud server and the task allocation condition of the edge device contained in the set according to the device information of the newly-added edge device. For example, in the embodiment shown in fig. 4, the edge device 103 is a newly added edge device, and at this time, the edge device information set maintained by the cloud server does not have the device information of the edge device 103 and the task allocation condition of the edge device 103, so that the newly added edge device 103 may send notification information to the multicast group, so that the edge device cluster captures the edge device 103, and report the device information of the edge device 103 to the cloud server, so that the cloud server updates the edge device information set of the edge device cluster maintained by the cloud server and the task allocation condition of the edge device included in the set. It should be noted that, the reporting process may be as described above, that is, the report is reported to the cloud server through the neighboring edge device, or the report is reported to the cloud server through the main edge device, but generally, since the health status of the newly added edge device is normal, the newly added edge device may also autonomously report the device information to the cloud server or the main edge device, and this description does not limit this.
In one embodiment, the edge device cluster may include a plurality of road parking management devices deployed on a preset road segment; wherein the tasks assigned to the edge devices include: and connecting the parking data with a sensor deployed at a preset road section, and collecting the parking data by cooperating with the sensor. As shown in fig. 5, the self-healing method of the edge device is described in detail below with reference to fig. 5 and 6.
In a road parking scene of a preset road segment, a cloud server 11 and an edge device cluster 10 may be deployed, the cloud server 11 may be further configured with a parking service engine as shown in fig. 6, and the edge device cluster 10 may include a road parking management device a and a road parking management device B. For the generation of the edge device cluster 10, the application may be generated based on a local area network cluster as shown in fig. 6. For example, the road parking management device a may determine a name of a cluster and determine a multicast group corresponding to the cluster, etc. through the local area network cluster generation application, so that other road parking management devices may join the multicast group. The edge device cluster 10 may establish a connection with the internet of things platform shown in fig. 6, and interact with the cloud server uniformly by the internet of things platform, of course, the internet of things platform may also be integrated with the cloud server, or even the internet of things platform may be omitted, but the edge device cluster 10 directly interacts with the cloud server, which is not limited in this specification. The road parking management apparatus a is bound with the camera a1 and the camera a2 through the lane 1 and the lane 2, respectively. The camera a1 and the camera a2 may collect and upload road picture data to the road parking management apparatus a, so that the road parking management apparatus a may analyze and calculate the picture data based on its own configuration information, for example: the road parking management apparatus a can calculate a parking space using the picture data collected by the camera a1 and the camera a 2. If the parking management Device B is a newly added edge Device, the parking management Device B may send a notification message to the multicast group where the edge Device cluster 10 is located, so that the parking management Device a may discover the newly added edge Device, that is, the parking management Device a may discover the parking management Device B and report the Device information of the parking management Device B, for example, the domain name, the Device tag, and the Device access shown in fig. 6, as the Device information, to the edge Device information aggregation module in the parking service engine shown in fig. 6, so that the parking service engine may update the edge Device information aggregation maintained by itself and the task operation condition of the edge Device included in the edge cluster Device 10, that is, the parking service engine may obtain the Device information of the parking management Device B and the parking management Device information of the parking management Device B And B, task running condition. For example, as shown in fig. 5, the road parking management apparatus B is bound with the camera B1 and the camera B2 through the lane 3 and the lane 4, respectively, and the road parking management apparatus B can determine whether a vehicle in the screen is pressed on a line based on its own configuration information through the screen data collected by the camera B1 and the camera B2. At this time, the road parking management apparatus a and the road parking management apparatus B may monitor each other based on the heartbeat mechanism as described above, which may be implemented by a multicast mechanism application in the parking border application as shown in fig. 6. If the road parking management device a is abnormal, the road parking management device B may find that the health condition of the road parking management device a is abnormal in time, and report the health condition to the parking service engine through the cloud event reporting application as shown in fig. 6. Of course, the abnormal health condition information of the road parking management device a may also be reported to the parking service engine by the main road parking management device (not shown in fig. 5), and reported to the parking service engine by the main road parking management device, so that the abnormal event monitoring module in the parking service engine may receive the abnormal health condition information in time. The main road parking management device may be implemented by a main node election application as shown in fig. 6, for example, the main node election application, and the road parking management device may initiate main node election and determine a main node according to an election result. Alternatively, as previously described, the parking service engine may also autonomously monitor each edge device in the edge device cluster 10 via the cluster health monitoring module. After the parking service engine shown in fig. 6 determines that the road parking management device a is abnormal, the parking service engine needs to determine a second edge device at this time, and because the road parking management device B has idle resources (i.e., a channel 1 and a channel 2), and meanwhile, the road parking management device B also supports the calculation of a parking space, the parking service engine may issue a self-healing instruction through the self-healing instruction issuing module shown in fig. 6 at this time. Of course, as mentioned above, the self-healing instruction may be directly issued to the parking management device B or issued to the main parking management device, and the main parking management device forwards the self-healing instruction to the parking management device B. Of course, the parking edge applications as described above all need to write to the local database to enable the data to be called. At this time, the road parking management device B may be respectively bound with the camera a1 and the camera a2 through the channel 1 and the channel 2, and receive the configuration information issued by the cloud server through the configuration information issuing module shown in fig. 6, where the configuration information may be stored in the configuration management application shown in fig. 6. To this end, the road parking management device B may implement the calculation of the parking space based on the pictures collected by the cameras a1 and a2 according to the configuration information in the configuration management application, that is, the task of replacing the first edge device with the second edge device as described in this specification is executed.
Compared with the self-healing method at the cloud server side, the present specification further provides a self-healing method applied to the second edge device side, please refer to fig. 7, where fig. 7 is a flowchart of a self-healing method of an edge device provided in an exemplary embodiment, where the method includes the following steps:
As described above, the second edge device may receive the self-healing instruction directly issued by the cloud server; or, in a case that the edge device cluster includes the primary edge device and the second edge device is not the primary edge device, the second edge device may receive the self-healing instruction forwarded by the primary edge device after being issued by the cloud server.
In an embodiment, the second edge device may further obtain configuration information corresponding to the first edge device sent by the cloud server, and execute a task taken over from the first edge device according to the configuration information.
As previously mentioned, the second edge device may monitor the health of the neighboring edge devices through a heartbeat mechanism; when the health status of the neighboring edge device is abnormal, the second edge device may report the health status information corresponding to the neighboring edge device to the cloud server, or report the health status information corresponding to the neighboring edge device to the main edge device in the edge device cluster, so that the main edge device reports the health status information to the cloud server in a unified manner.
The edge devices in the edge device cluster may be in the same multicast group, and at this time, the second edge device may receive a notification message for the multicast group to discover the newly added edge device; the second edge device may report the device information of the newly added edge device to the cloud server, so as to update an edge device information set of the edge device cluster maintained by the cloud server and a task allocation condition for the edge device included in the set.
The edge device cluster comprises a plurality of road parking management devices deployed on a preset road section, wherein the tasks distributed to the first edge device comprise: and connecting with a sensor deployed at the preset road section, and collecting parking data by cooperating with the sensor.
According to the technical scheme, the self-healing method of the edge device, the edge device information set of the edge device cluster is maintained by the cloud server and the task allocation condition of the edge device contained in the set is achieved, so that the cloud server can determine the health condition of the edge device contained in the edge device cluster, and the self-healing instruction is issued by the cloud under the condition that the health condition of the first edge device is abnormal, so that the second edge device replaces the task execution of the first edge device, the self-healing of the edge device is achieved, even if operation and maintenance personnel do not go to the site to overhaul, the task on the edge device can be guaranteed to be smooth and continuously executed, and the normal operation of the task is guaranteed.
FIG. 8 is a schematic block diagram of an apparatus provided in an exemplary embodiment. Referring to fig. 8, at the hardware level, the apparatus includes a processor 802, an internal bus 804, a network interface 806, a memory 808, and a non-volatile memory 810, but may also include hardware required for other functions. One or more embodiments of the present description may be implemented in software, such as by the processor 802 reading a corresponding computer program from the non-volatile storage 810 into the memory 808 and then executing the computer program. Of course, besides software implementation, the one or more embodiments in this specification do not exclude other implementations, such as logic devices or combinations of software and hardware, and so on, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
Referring to fig. 9, fig. 9 is a block diagram of a self-healing apparatus of an edge device according to an exemplary embodiment of the present disclosure. The apparatus may be applied to a device shown in fig. 8 to implement the technical solution of the present specification, where the apparatus is applied to a cloud server, and the cloud server maintains an edge device information set of an edge device cluster and a task allocation condition for an edge device included in the set; the device comprises:
a health status determining unit 902, configured to determine a health status of an edge device included in the edge device cluster;
a second edge device determining unit 904, configured to determine, when a health condition of a first edge device is abnormal, a second edge device from the edge device cluster according to the edge device information set and a task allocation condition of the first edge device;
an instruction issuing unit 906, configured to issue a self-healing instruction to the edge device cluster, where the self-healing instruction is used to instruct the second edge device to take over a task pre-allocated to the first edge device.
Optionally, the health condition determining unit 902 is specifically configured to:
autonomously monitoring the health condition of the edge devices contained in the edge device cluster; and/or the presence of a gas in the gas,
receiving health condition information actively reported by the edge equipment cluster; the health condition information includes reporting by a neighbor edge device of an abnormal edge device, or reporting by a master edge device in the edge device cluster in a unified manner.
Optionally, the second edge device determining unit 904 is specifically configured to:
and selecting the edge device which supports the task and has idle resources from the edge device information set according to the task pre-allocated to the first edge device as the second edge device.
Optionally, the instruction issuing unit 906 is specifically configured to:
sending the self-healing instruction to the second edge device; or the like, or, alternatively,
and under the condition that the main edge equipment exists in the edge equipment cluster, issuing the self-healing instruction to the main edge equipment.
Optionally, the apparatus further comprises:
a configuration information issuing unit 908, configured to issue, to the edge device cluster, configuration information adopted by the first edge device, so that the second edge device executes a task succeeding from the first edge device according to the configuration information.
Optionally, the edge devices in the edge device cluster are in the same multicast group.
Optionally, the apparatus further comprises:
an updating unit 910, configured to receive device information of a newly added edge device reported by the edge device cluster, where the newly added edge device is discovered by any edge device in the edge device cluster according to notification information sent by the newly added edge device to the multicast group; and updating the edge equipment information set of the edge equipment cluster maintained by the self and the task allocation condition aiming at the edge equipment contained in the set according to the equipment information of the newly added edge equipment.
Optionally, the edge device cluster includes a plurality of road parking management devices deployed on a preset road section; wherein the tasks assigned to the edge device include: and connecting the sensors deployed at the preset road sections, and collecting parking data by cooperating with the sensors.
Correspondingly, the present specification also provides a self-healing device applied to an edge device on the edge device side. Referring to fig. 10, fig. 10 is a block diagram of a self-healing apparatus of an edge device according to an exemplary embodiment of the present disclosure. The apparatus may be applied to a device shown in fig. 8 to implement the technical solution of this specification, where the apparatus is applied to a second edge device in an edge device cluster, and the apparatus includes:
the obtaining unit 1002 is configured to obtain a self-healing instruction issued by a cloud server, where the self-healing instruction is generated after determining a second edge device according to a maintained edge device information set of an edge device cluster and a task allocation condition of a first edge device when a health condition of the first edge device in the edge device cluster is abnormal;
a taking-over unit 1004, configured to take over a task pre-allocated to the first edge device according to the self-healing instruction.
Optionally, the obtaining unit 1002 is specifically configured to:
receiving a self-healing instruction directly issued by the cloud server; or the like, or a combination thereof,
and under the condition that the edge device cluster comprises a main edge device and the second edge device is not the main edge device, receiving a self-healing instruction forwarded by the main edge device after the cloud server issues the self-healing instruction.
Optionally, the apparatus further comprises:
a configuration information obtaining unit 1006, configured to obtain configuration information corresponding to the first edge device sent by the cloud server; and executing a task taking over from the first edge device according to the configuration information.
Optionally, the apparatus further comprises:
a monitoring unit 1008 for monitoring the health status of the neighbor edge devices; reporting health condition information corresponding to the neighbor edge device to the cloud server under the condition that the health condition of the neighbor edge device is abnormal, or reporting the health condition information corresponding to the neighbor edge device to a main edge device in the edge device cluster so as to be uniformly reported to the cloud server by the main edge device.
Optionally, the edge devices in the edge device cluster are in the same multicast group.
Optionally, the apparatus further comprises:
a notification information receiving unit 1010, configured to receive a notification message for the multicast group to discover a newly added edge device; and reporting the equipment information of the newly-added edge equipment to the cloud server so as to update the maintained edge equipment information set of the edge equipment cluster and the task allocation condition aiming at the edge equipment contained in the set.
Optionally, the edge device cluster includes a plurality of road parking management devices deployed on a preset road section; wherein the tasks assigned to the first edge device include: and connecting the sensors deployed at the preset road sections, and collecting parking data by cooperating with the sensors.
For the device embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in the specification. One of ordinary skill in the art can understand and implement it without inventive effort.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
In a typical configuration, a computer includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage, quantum memory, graphene-based storage media or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The terminology used in the description of the one or more embodiments is for the purpose of describing the particular embodiments only and is not intended to be limiting of the description of the one or more embodiments. As used in one or more embodiments of the present specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used herein in one or more embodiments to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of one or more embodiments herein. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The above description is only for the purpose of illustrating the preferred embodiments of the one or more embodiments of the present disclosure, and is not intended to limit the scope of the one or more embodiments of the present disclosure, and any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the one or more embodiments of the present disclosure should be included in the scope of the one or more embodiments of the present disclosure.
Claims (17)
1. The self-healing method of the edge device is characterized by being applied to a cloud server, wherein the cloud server maintains an edge device information set of an edge device cluster and a task allocation condition aiming at the edge device contained in the set; the method comprises the following steps:
determining the health condition of the edge equipment contained in the edge equipment cluster;
determining a second edge device from the edge device cluster according to the edge device information set and the task allocation condition of the first edge device under the condition that the health condition of the first edge device is abnormal;
and issuing a self-healing instruction to the edge device cluster, wherein the self-healing instruction is used for indicating the second edge device to take over the task pre-distributed to the first edge device.
2. The method of claim 1, wherein determining the health of the edge devices included in the cluster of edge devices comprises:
autonomously monitoring the health condition of the edge devices contained in the edge device cluster; and/or the presence of a gas in the gas,
receiving health condition information actively reported by the edge equipment cluster; the health condition information includes reporting by a neighbor edge device of an abnormal edge device, or reporting by a master edge device in the edge device cluster in a unified manner.
3. The method of claim 1, wherein the determining a second edge device from the edge device cluster according to the edge device information set and the task allocation of the first edge device comprises:
and selecting the edge device which supports the task and has idle resources from the edge device information set according to the task pre-allocated to the first edge device as the second edge device.
4. The method according to claim 1, wherein the issuing self-healing instructions comprises:
sending the self-healing instruction to the second edge device; or the like, or, alternatively,
and under the condition that the main edge equipment exists in the edge equipment cluster, issuing the self-healing instruction to the main edge equipment.
5. The method of claim 1, further comprising:
and issuing configuration information adopted by the first edge device to the edge device cluster so that the second edge device executes a task which is taken over from the first edge device according to the configuration information.
6. The method of claim 1, wherein edge devices in the cluster of edge devices are in a same multicast group, the method further comprising:
receiving device information of newly-added edge devices reported by the edge device cluster, wherein any edge device in the edge device cluster is found according to notification information sent by the newly-added edge device to the multicast group;
and updating the edge equipment information set of the edge equipment cluster maintained by the self and the task allocation condition aiming at the edge equipment contained in the set according to the equipment information of the newly added edge equipment.
7. The method of claim 1, wherein the edge device cluster comprises a plurality of road parking management devices deployed on a preset road segment; wherein the tasks assigned to the edge device include: and connecting the sensors deployed at the preset road sections, and collecting parking data by cooperating with the sensors.
8. A self-healing method for an edge device, applied to a second edge device in an edge device cluster, the method comprising:
acquiring a self-healing instruction issued by a cloud server, wherein the self-healing instruction is generated after a second edge device is determined according to a maintained edge device information set of an edge device cluster and a task allocation condition of a first edge device when the health condition of the first edge device in the edge device cluster is abnormal by the cloud server;
and according to the self-healing instruction, taking over the tasks pre-distributed to the first edge equipment.
9. The method according to claim 8, wherein the obtaining of the self-healing instruction issued by the cloud server includes:
receiving a self-healing instruction directly issued by the cloud server; or the like, or a combination thereof,
and under the condition that the edge device cluster comprises a main edge device and the second edge device is not the main edge device, receiving a self-healing instruction forwarded by the main edge device after the cloud server issues the self-healing instruction.
10. The method of claim 8, further comprising:
acquiring configuration information corresponding to the first edge device issued by the cloud server;
and executing a task taking over from the first edge device according to the configuration information.
11. The method of claim 8, further comprising:
monitoring the health condition of the neighbor edge device;
reporting health condition information corresponding to the neighbor edge device to the cloud server under the condition that the health condition of the neighbor edge device is abnormal, or reporting the health condition information corresponding to the neighbor edge device to a main edge device in the edge device cluster so as to be uniformly reported to the cloud server by the main edge device.
12. The method of claim 8, wherein the edge devices in the cluster of edge devices are in the same multicast group; the method further comprises the following steps:
receiving a notification message for the multicast group to discover a newly added edge device;
and reporting the equipment information of the newly-added edge equipment to the cloud server so as to update the maintained edge equipment information set of the edge equipment cluster and the task allocation condition aiming at the edge equipment contained in the set.
13. The method of claim 8, wherein the edge device cluster comprises a plurality of road parking management devices deployed on a preset road segment; wherein the tasks assigned to the first edge device include: and connecting the sensors deployed at the preset road sections, and collecting parking data by cooperating with the sensors.
14. The self-healing device of the edge equipment is characterized by being applied to a cloud server, wherein the cloud server maintains an edge equipment information set of an edge equipment cluster and a task allocation condition aiming at the edge equipment contained in the set; the device comprises:
a health status determining unit, configured to determine a health status of the edge device included in the edge device cluster;
a second edge device determining unit, configured to determine, when a health condition of a first edge device is abnormal, a second edge device from the edge device cluster according to the edge device information set and a task allocation condition of the first edge device;
and the instruction issuing unit is used for issuing a self-healing instruction to the edge device cluster, wherein the self-healing instruction is used for indicating the second edge device to take over the task pre-distributed to the first edge device.
15. A self-healing device of an edge device, applied to a second edge device in an edge device cluster, the device comprising:
the acquisition unit is used for acquiring a self-healing instruction issued by a cloud server, and the self-healing instruction is generated after the cloud server determines a second edge device according to a maintained edge device information set of the edge device cluster and a task allocation condition of a first edge device under the condition that the health condition of the first edge device in the edge device cluster is abnormal;
and the replacing unit is used for replacing the task which is pre-distributed to the first edge equipment according to the self-healing instruction.
16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7 or 8 to 13.
17. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method according to any of claims 1 to 7 or 8 to 13 are implemented when the program is executed by the processor.
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| CN202210605517.8A CN114979188A (en) | 2022-05-30 | 2022-05-30 | Self-healing method and device for edge equipment, electronic equipment and storage medium |
| PCT/CN2023/096963 WO2023231993A1 (en) | 2022-05-30 | 2023-05-29 | Self-healing method and apparatus for edge device, electronic device, and storage medium |
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