CN112925651B - Application resource deployment method, device, electronic equipment and medium - Google Patents
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Abstract
The disclosure provides an application resource deployment method, relates to the technical field of computers, and particularly relates to the technical field of cloud computing and edge computing. The method may be applied to an edge device cluster comprising one or more edge devices, the method comprising: in response to determining that the to-be-synchronized list comprises application resources to be deployed, acquiring information of the application resources, wherein the information of the application resources comprises equipment selection information; determining a target edge device from the one or more edge devices based on the device selection information; and deploying the copy of the application resource on the target edge device.
Description
Technical Field
The disclosure relates to the technical field of computers, in particular to the technical field of cloud computing and edge computing, and specifically relates to an application resource deployment method, an application resource deployment device, electronic equipment, a computer readable storage medium and a computer program product.
Background
Cloud computing (clouding) is a distributed computing, which distributes computing tasks on a resource pool formed by a large number of computers, so that various application systems can acquire computing power, storage space and information service according to requirements. The network that provides the resources is referred to as the "cloud".
At present, in the scene of the Internet of things, the deployment and management of application resources of an edge device cluster are lacking.
Disclosure of Invention
According to a first aspect of embodiments of the present disclosure, an application resource deployment method is provided. The method may be applied to an edge device cluster comprising one or more edge devices. The method comprises the following steps: in response to determining that the to-be-synchronized list comprises application resources to be deployed, acquiring information of the application resources, wherein the information of the application resources comprises equipment selection information; determining a target edge device from the one or more edge devices based on the device selection information; and deploying the copy of the application resource on the target edge device.
According to a second aspect of embodiments of the present disclosure, an application resource deployment method is provided. The method can be applied to the cloud of the edge computing system, and comprises the following steps: in response to receiving the application resource deployment request, creating an application resource corresponding to the application resource deployment request, wherein information of the application resource includes device selection information; and synchronizing the application resource to a to-be-synchronized list of the target edge device cluster. The target edge device cluster includes one or more edge devices, and wherein the target edge device cluster is configured to: based on the device selection information, a target edge device is determined from the one or more edge devices, and a copy of the application resource is deployed on the target edge device.
According to a third aspect of the embodiments of the present disclosure, there is provided an application resource deployment apparatus, including: the acquisition module is configured to acquire information of application resources in response to determining that the list to be synchronized of the edge device cluster comprises the application resources to be deployed, wherein the information of the application resources comprises device selection information, and the edge device cluster comprises one or more edge devices; a device determination module configured to determine a target edge device from the one or more edge devices based on the device selection information; and a deployment module configured to deploy the copy of the application resource on the target edge device.
According to a fourth aspect of embodiments of the present disclosure, there is provided an application resource deployment apparatus, including: the creation module is configured to respond to the received application resource deployment request and create an application resource corresponding to the application resource deployment request, wherein the information of the application resource comprises equipment selection information; and the synchronization module is configured to synchronize the application resource to a list to be synchronized of the target edge device cluster. The target edge device cluster includes one or more edge devices, and wherein the target edge device cluster is configured to: based on the device selection information, a target edge device is determined from the one or more edge devices, and a copy of the application resource is deployed on the target edge device.
According to a fifth aspect of the present disclosure, there is provided an electronic device comprising: at least one processor and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform the steps of the method according to the first or second aspect of the embodiments of the present disclosure when executed by the at least one processor.
According to a sixth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium storing a computer program. The computer program is for causing a computer to perform the steps of the method according to the first or second aspect of the embodiments of the present disclosure when executed by a processor of the computer.
According to a seventh aspect of the present disclosure, there is provided a computer program product, comprising a computer program. The computer program is for causing a computer to perform the steps of the method according to the first or second aspect of the embodiments of the present disclosure when executed by a processor of the computer.
By means of the technical scheme, deployment of application resources of the edge devices in the edge device cluster can be achieved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The accompanying drawings illustrate exemplary embodiments and, together with the description, serve to explain exemplary implementations of the embodiments. The illustrated embodiments are for exemplary purposes only and do not limit the scope of the claims. Throughout the drawings, identical reference numerals designate similar, but not necessarily identical, elements.
FIG. 1 illustrates a schematic diagram of an exemplary system in which various methods described herein may be implemented, in accordance with an embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of an application resource deployment method according to an embodiment of the present disclosure;
FIG. 3 illustrates a flowchart of an application resource deployment method according to an embodiment of the present disclosure;
FIG. 4 illustrates a schematic diagram of an interaction flow of a user terminal, an edge computing system cloud, an edge device cluster, and an edge device according to an embodiment of the disclosure;
FIG. 5 illustrates a schematic diagram of an application resource deployment method according to an embodiment of the present disclosure;
FIG. 6 illustrates a block diagram of an application resource deployment apparatus according to an embodiment of the present disclosure;
FIG. 7 illustrates a block diagram of an application resource deployment apparatus according to an embodiment of the present disclosure; and
fig. 8 illustrates a block diagram of an exemplary electronic device that can be used to implement embodiments of the present disclosure.
Detailed Description
In order to better understand the present disclosure, a technical solution in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present disclosure. Based on the embodiments in this disclosure, all other embodiments that a person of ordinary skill in the art would obtain without making any inventive effort are within the scope of protection of this disclosure.
The terms first and second and the like in the description and in the claims of the present disclosure and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein.
Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The terminology used in the description of the various illustrated examples in this disclosure is for the purpose of describing particular examples only and is not intended to be limiting. Unless the context clearly indicates otherwise, the elements may be one or more if the number of the elements is not specifically limited. Furthermore, the term "and/or" as used in this disclosure encompasses any and all possible combinations of the listed items.
Cloud computing (clouding) is a distributed computing, which distributes computing tasks on a resource pool formed by a large number of computers, so that various application systems can acquire computing power, storage space and information service according to requirements. The network that provides the resources is referred to as the "cloud". Depending on the type of resources provided, cloud computing may provide three modes of service: infrastructure as a service IaaS, platform as a service PaaS, software as a service SaaS. In the IaaS mode, the cloud service provider provides computing resources such as virtual computers, storage, networks and the like for users, and the users can acquire corresponding services from the resources. To avoid the effects of network delays and the like, services are typically deployed at edge devices (also referred to as edge nodes) that are closer to the user. The plurality of edge devices may form an edge device cluster. At present, in the scene of the Internet of things, the deployment and management of application resources of edge devices in an edge device cluster are lacking.
In this regard, the present disclosure provides an application resource deployment method, in which the state of an edge device cluster and application resource deployment are monitored at an edge computing system cloud, and application resources are deployed to edge devices in the edge device cluster through the edge computing system cloud, so as to provide technical support for controlling the edge device cluster in an internet of things scenario.
Fig. 1 illustrates a schematic diagram of an exemplary system 100 in which various methods and apparatus described herein may be implemented, in accordance with an embodiment of the present disclosure. As shown in fig. 1, the system 100 includes a user terminal 101, a server 102, and an edge device 103.
For example, the server 102 may provide other services or software applications that may include non-virtual environments and virtual environments. In some embodiments, these services may be provided as web-based services or cloud services, for example, provided to the user terminal 101 under a software as a service (SaaS) model. In some examples, server 102 may be an edge computing system cloud.
In the configuration shown in fig. 1, server 120 may include one or more components that implement the functions performed by server 101. These components may include software components, hardware components, or a combination thereof that are executable by one or more processors. The user of user terminal 101 may in turn utilize one or more client applications to interact with server 102 to utilize the services provided by these components. It should be appreciated that a variety of different system configurations are possible, which may differ from system 100. Accordingly, FIG. 1 is one example of a system for implementing the various methods described herein and is not intended to be limiting.
The user terminal 101 may provide an interface that enables a user of the user terminal 101 to interact with the client device. The user terminal 101 may also output information to the user via the interface.
By way of example, the user terminal 101 may include various types of computer devices, such as portable handheld devices, general purpose computers (such as personal computers and laptop computers), workstation computers, wearable devices, gaming systems, thin clients, various messaging devices, sensors or other sensing devices, and the like. These computer devices may run various types and versions of software applications and operating systems, such as Microsoft Windows, apple iOS, UNIX-like operating systems, linux, or Linux-like operating systems (e.g., google Chrome OS); or include various mobile operating systems such as Microsoft Windows Mobile OS, iOS, windows Phone, android. Portable handheld devices may include cellular telephones, smart phones, tablet computers, personal Digital Assistants (PDAs), and the like. Wearable devices may include head mounted displays and other devices. The gaming system may include various handheld gaming devices, internet-enabled gaming devices, and the like. The client device is capable of executing a variety of different applications, such as various Internet-related applications, communication applications (e.g., email applications), short Message Service (SMS) applications, and may use a variety of communication protocols.
By way of example, the server 102 may include one or more general purpose computers, special purpose server computers (e.g., PC (personal computer) servers, UNIX servers, mid-end servers), blade servers, mainframe computers, server clusters, or any other suitable arrangement and/or combination. The server 120 may include one or more virtual machines running a virtual operating system, or other computing architecture that involves virtualization (e.g., one or more flexible pools of logical storage devices that may be virtualized to maintain virtual storage devices of the server). In various embodiments, server 120 may run one or more services or software applications that provide the functionality described below.
Illustratively, the computing units in server 102 may run one or more operating systems including any of the operating systems described above as well as any commercially available server operating systems. Server 102 may also run any of a variety of additional server applications and/or middle tier applications, including HTTP servers, FTP servers, CGI servers, JAVA servers, database servers, etc.
For example, the server 102 may include one or more applications to analyze and consolidate data feeds and/or event updates received from users of the user terminals 101. Server 102 may also include one or more applications to display data feeds and/or real-time events via one or more display devices of user terminal 101.
In some implementations, the server 120 may be a server of a distributed system or a server that incorporates a blockchain. The server 120 may also be a cloud server, or an intelligent cloud computing server or intelligent cloud host with artificial intelligence technology. The cloud server is a host product in a cloud computing service system, so as to solve the defects of large management difficulty and weak service expansibility in the traditional physical host and virtual private server (VPS, virtual Private Server) service.
Illustratively, edge device 103 is a device that provides an entry point to an enterprise or service provider core network, which may be, for example, a router, a routing switch, an Integrated Access Device (IAD), a multiplexer, and various Metropolitan Area Network (MAN) and Wide Area Network (WAN) access devices. In other examples, edge devices 103 may also include, but are not limited to, for example, intelligent routers, intelligent speakers, network Attached Storage (NAS), webcams, storable network devices, smart watches, smart televisions, monitors, and the like.
It will be appreciated that the user terminal 101, the server 102 and the edge device 103 may communicate over a network. The network may be any type of network known to those skilled in the art that may support data communications using any of a number of available protocols, including but not limited to TCP/IP, SNA, IPX, etc. For example only, the one or more networks 110 may be a Local Area Network (LAN), an ethernet-based network, a token ring, a Wide Area Network (WAN), the internet, a virtual network, a Virtual Private Network (VPN), an intranet, an extranet, a Public Switched Telephone Network (PSTN), an infrared network, a wireless network (e.g., bluetooth, WIFI), and/or any combination of these and/or other networks.
The system 100 of fig. 1 may be configured and operated in various ways to enable application of the various methods and apparatus described in accordance with the present disclosure.
Fig. 2 illustrates a flowchart of an application resource deployment method 200 according to an embodiment of the present disclosure. In some embodiments, the method 200 may be applied to an edge device cluster, which may include one or more edge devices. As shown in fig. 2, method 200 may include the following steps.
In step 201, in response to determining that the to-be-synchronized list includes application resources to be deployed, information of the application resources is acquired.
In some embodiments, the information of the application resource may include device selection information.
In step 202, a target edge device is determined from one or more edge devices based on the device selection information.
In step 203, a copy of the application resource is deployed on the target edge device.
Thus, when the application resources to be deployed are included in the list to be synchronized of the edge device cluster, the target edge device is determined based on the device selection information included in the application resources. Therefore, the application resource deployment of the edge equipment in the edge equipment cluster can be realized.
In some embodiments, the target edge device may refer to an edge device where application resources are to be deployed. And the user can establish resources at the cloud of the edge computing system through the user terminal, and the resource type is selected as a cluster type. The resource-corresponding edge computation program (e.g., an install command) may be executed at an edge-side device (e.g., an edge device cluster). After executing the program, the edge side device may have associated modules, such as a core module, a user module, etc. In some examples, the installation may be accomplished by forms including, for example, but not limited to, on-line installation, off-line installation, mirror burn, and the like. Typically, an edge device cluster includes a core module that runs on one of the edge devices in the edge device cluster.
In some examples, the core module is configured to periodically communicate with the edge computing system cloud, to collect and report local data, and to download relevant application resources from the edge computing system cloud. In some examples, the core module automatically establishes a link with the edge computing system cloud, including but not limited to by WebSocket, HTTP, MQTT, HTTP3 or the like.
In some examples, the local data reported by the core module may include, for example, operation data, state information, deployment and operation conditions of application resources of each edge device in the edge device cluster. In other examples, the core module may also obtain information such as the name, version, instance deployment scenario, etc. of the application resource. In other examples, the core module may also obtain, for example, software and hardware information of each edge device in the edge device cluster, such as a container version, an edge device name, an edge device tag, an edge device state, and resource consumption of the edge device.
In some embodiments, the edge device has a tag. The labels may include, for example, the name of the edge device, roles (e.g., master node, work node, etc.), lots, etc. A label may be characterized by one or more key-value pairs. In some examples, the device selection information may include key value matching rules. The target edge device may be determined from one or more edge devices based on the labels of the edge devices. For example, for any of the one or more edge devices (e.g., the first edge device), the first edge device may be determined to be the target edge device if the tag of the first edge device satisfies the key value matching rule defined by the device selection information. Therefore, the target edge node can be accurately determined through matching of key value pairs.
In some examples, the key-value matching rules may include, but are not limited to, a key-value pair perfect match, a key only match, multiple key-value pairs "and" side-by-side, multiple key-value pairs "or" side-by-side, contain a specified key-value pair, not contain a specified key-value pair, etc. For the edge device cluster, the finally determined target edge devices are different based on different key value matching rules.
Illustratively, for edge device cluster X, it includes edge devices X1-X3. The label of the edge device X1 is characterized by 3 key-value pairs a, b and c, the label of the edge device X2 is characterized by 2 key-value pairs a and d, and the label of the edge device X3 is characterized by 1 key-value pair e. The target edge devices determined from the cluster of edge devices X will also differ based on different key value matching rules.
For example, in the case where the key-value matching rule is that the key-value pair is completely matched (e.g., e: e), the edge device X3 may be matched, and the edge device X3 may be determined as the target edge device. In this case, when the key value matching rule is a: a, since the edge device X1 further includes the key value pair b: b and c: c, and the edge device X2 further includes the key value pair d: d, the edge device satisfying the rule cannot be matched.
For example, in the case where the key value matching rule is a matching-only key (e.g., includes a:), the edge device X1 and the edge device X2 may be matched, and the edge device X1 and the edge device X2 may be determined as target edge devices.
For example, in the case where the key-value matching rule is that a plurality of key-value pairs are juxtaposed (e.g., a: a and b: b), the edge device X1 may be matched, and the edge device X1 may be determined as the target edge device.
For example, in the case where the key-value matching rule is a plurality of key-value pairs or (e.g., c: c or e: e), the edge device X1 and the edge device X3 may be matched, and the edge device X1 and the edge device X3 may be determined as target edge devices.
For example, in the case where the key-value matching rule is that a specified key-value pair (e.g., in (c: c d: d e: e)) is included, the edge device X1, the edge device X2, and the edge device X3 may be matched, and the edge device X1, the edge device X2, and the edge device X3 may be determined as target edge devices.
For example, in the case where the key-value matching rule is that a specified key-value pair (for example, not in (a: a d: d)) is not included, the edge device X3 may be matched out, and the edge device X3 may be determined as the target edge device.
In some embodiments, in a case where the edge device cluster includes a plurality of edge devices, when determining a plurality of candidate edge devices based on the device selection information, resource evaluation information of each candidate edge device in the plurality of candidate edge devices may also be acquired, and a target edge device may be determined from the plurality of candidate edge devices based on the resource evaluation information. Therefore, the target edge equipment can be further accurately determined through the resource evaluation information, and the deployment efficiency is improved.
In some examples, an edge device includes one or more resources. The resources of the edge device may be its hardware and software resources, including, for example, but not limited to, central Processing Unit (CPU) core number, CPU frequency, CPU occupation ratio, total memory, memory occupation ratio, total hard disk space, hard disk occupation ratio, total Graphics Processor (GPU), GPU occupation ratio, network bandwidth, network delay, system architecture type, system run time, time since last scheduled deployment, deployed software scenario, etc.
The weight of each resource can be set according to the actual usage scenario. In some embodiments, the device selection information may include a weight proportion of one or more resources of the edge device that is to deploy the copy of the application resource. For any candidate edge device, a resource value of each of one or more resources of the candidate edge device may be obtained, and resource evaluation information of the candidate edge device may be determined based on the resource value and the weight ratio.
Illustratively, for edge device cluster Y, it includes edge devices Y1-Y3. In the case where the candidate edge device Y1 and the candidate edge device Y2 are determined from the edge device cluster Y, the resource information of the candidate edge device Y1 and the resource information of the candidate edge device Y2 may be acquired, respectively. For example, the candidate edge device Y1 includes a hard disk capacity 10G (denoted as resource a) and a memory 2G (denoted as resource b), and the candidate edge device Y2 includes a hard disk capacity 10G and a memory 10G. In the case where the weight ratio is a: b=3:7, the resource evaluation information of the candidate edge devices Y1 and Y2 may be determined. The resource evaluation information of the candidate edge device Y1 is, for example: the resource evaluation information of the candidate edge device Y2 is 3×10+7×2=44g: 3×10+7×10=100deg.C. The candidate edge device Y2 may be determined as the target edge device based on the resource evaluation information. In this example, a target edge device is determined. In other examples, multiple target edge devices may also be determined, for which the present disclosure does not limit the number of target edge devices.
Fig. 3 illustrates a flowchart of an application resource deployment method 300 according to an embodiment of the present disclosure. In some embodiments, the method 300 may be applied to an edge computing system cloud. As shown in fig. 3, the method 300 may include the following steps.
In step 301, in response to receiving an application resource deployment request, an application resource corresponding to the application resource deployment request is created.
In some embodiments, the information of the application resource may include device selection information.
In step 302, the application resource is synchronized into a to-be-synchronized list of the target edge device cluster.
In some embodiments, the target edge device cluster may include one or more edge devices. The target edge device cluster may be configured to: based on the device selection information, a target edge device is determined from the one or more edge devices, and a copy of the application resource is deployed on the target edge device. Therefore, application resource deployment of the edge equipment in the edge equipment cluster can be realized through the cloud of the edge computing system.
In some embodiments, each edge device in the cluster of edge devices has a label, which may be characterized by one or more key-value pairs. The labels for each edge device may be operated independently at the edge computing system cloud, such as adding new labels, deleting labels, updating keys/values for labels, etc.
In general, an edge computing system cloud may include one or more clusters of edge devices. When an application resource deployment request of a user terminal is received, a target edge device cluster is determined from the one or more edge device clusters according to the request. The target edge device cluster may refer to an edge device cluster where an edge device of the application resource indicated by the application resource deployment request is located.
In some embodiments, the information of the application resource may also include cluster selection information. A target edge device cluster may be determined from the one or more edge device clusters based on the cluster selection information.
The edge device cluster may have a label such as the name, serial number, etc. of the edge device cluster. The labels of the edge device clusters may also be characterized by one or more key-value pairs. In some examples, the cluster selection information may include a cluster key matching rule, and the target edge device cluster may be determined from the one or more edge device clusters based on the cluster key matching rule. Illustratively, cluster key-value matching rules may include, for example, a complete match of key-value pairs, a match-only key, multiple key-value pairs "and" juxtaposition, multiple key-value pairs "or" juxtaposition, inclusion of a specified key-value pair, non-inclusion of a specified key-value pair, and the like. Based on different cluster key value matching rules, the finally determined target edge device clusters are also different.
In some embodiments, each of the one or more edge devices included in the target edge device cluster has a label characterized by one or more key-value pairs. The target edge device may be determined from one or more edge devices based on the labels of the edge devices. For example, for any of the one or more edge devices (e.g., the first edge device), the first edge device may be determined to be the target edge device if the tag of the first edge device satisfies the key value matching rule defined by the device selection information. Therefore, the target edge node can be accurately determined through matching of key value pairs.
Fig. 4 illustrates a schematic diagram of an interaction flow 400 of a user terminal, an edge computing system cloud, an edge device cluster, and an edge device according to an embodiment of the disclosure. As shown in fig. 4, the interaction flow 400 may include the following steps.
In step 401, the user terminal triggers an application resource deployment request.
In step 402, the edge computing system cloud creates an application resource corresponding to the application resource deployment request, wherein the application resource includes cluster selection information and device selection information.
In step 403, the edge computing system cloud determines a target edge device cluster based on the cluster selection information.
In step 404, the edge computing system cloud synchronizes the application resource into the list to be synchronized of the target edge device cluster.
In step 405, the target edge device cluster determines a target edge device based on the device selection information.
In step 406, the target edge device cluster places the application resource deployment word on the target edge device.
In step 407, the target edge device performs a business process corresponding to the application resource.
Fig. 5 shows a schematic diagram of an application resource deployment flow 500 according to an embodiment of the disclosure. As shown in fig. 5, the process 500 may include the following steps.
The user may trigger an application resource deployment request through the user terminal 501. Upon receiving the application resource deployment request, the edge computing system cloud 502 may create corresponding application resources, such as application resource 0, application resource 1, and application resource 2. Application resource 0 includes cluster selection information 00 and device selection information 01. The application resource 1 comprises cluster selection information 10 and device selection information 11. The application resource 2 comprises cluster selection information 20 and device selection information 21. The edge device cluster 503 includes edge devices 5031 and 5032. Edge device cluster 504 includes edge device 5041, edge device 5042, and edge device 5043. The core modules of the edge device cluster 504 run on the edge device 5041. The core module may periodically communicate with the edge computing system cloud 502 for data synchronization.
Based on the cluster selection information 00, a target edge device cluster, i.e., edge device cluster 504, may be determined, and based on the device selection information 01, a target edge device, i.e., edge device 5042, may be determined. Thus, application resource 0 is deployed on edge device 5042. Based on the cluster selection information 10, a target edge device cluster, i.e. edge device cluster 504, may be determined, and based on the device selection information 11, a target edge device, i.e. edge device 5042, may be determined. Thus, application resource 1 is deployed on edge device 5042. Based on the cluster selection information 20, a target edge device cluster, i.e. edge device cluster 504, may be determined, and based on the device selection information 21, a target edge device, i.e. edge device 5043, may be determined. Thus, application resource 2 is deployed on edge device 5043.
The exemplary embodiments of the present disclosure also provide an edge computing system. The edge computing system may include a front-end control device, a cloud backend device, and an edge device cluster.
The front-end control means may be arranged to interact with a user. The user can initiate a request through the front-end control device to complete the functions of creating an edge node, creating and updating application resources, issuing commands, receiving response data and the like.
The cloud background device can be used for information management of the edge node, management and update of various application resources, edge node configuration, remote debugging and the like. Edge node provisioning and remote debugging may include, for example, creation of various types of resources, application uploading, resource updating, creation and updating of application resources, resource information synchronization with an edge device cluster, providing Open APIs, and other functions.
The edge device cluster comprises a core module, an edge module, an application module, a resource manager, a memory and the like. The core module is used for collecting information of the edge equipment, synchronizing resource data with cloud communication, communicating with a resource manager to submit resources for deployment, accessing data with memory communication, establishing a debugging link with a designated module or a host, and the like. The resource manager is configured to receive resource deployment information, deploy resources, and the like. The edge module is used for executing business processes and the like.
Fig. 6 shows a block diagram of an application resource deployment apparatus 600 according to an embodiment of the disclosure. As shown in fig. 6, the apparatus 600 includes an acquisition module 601, a device determination module 602, and a deployment module 603.
The acquiring module 601 is configured to acquire information of application resources in response to determining that the list to be synchronized of the edge device cluster includes the application resources to be deployed. In some embodiments, the information of the application resource includes device selection information, and the edge device cluster includes one or more edge devices.
The device determination module 602 is configured to determine a target edge device from the one or more edge devices based on the device selection information.
The deployment module 603 is configured to deploy a copy of the application resource on the target edge device.
In some examples, the operations of the acquisition module 601, the device determination module 602, and the deployment module 603 correspond to steps 201-203, respectively, of the method 200 described above with respect to fig. 2, and are not described in detail herein.
Fig. 7 shows a block diagram of an application resource deployment apparatus 700 according to an embodiment of the disclosure. As shown in fig. 7, the apparatus 700 includes a creation module 701 and a synchronization module 702.
The creation module 701 is configured to create an application resource corresponding to the application resource deployment request in response to receiving the application resource deployment request. In some embodiments, the information of the application resource includes device selection information.
The synchronization module 702 is configured to synchronize the application resource into a to-be-synchronized list of the target edge device cluster. In some embodiments, the target edge device cluster includes one or more edge devices, and the target edge device cluster is configured to: based on the device selection information, a target edge device is determined from the one or more edge devices, and a copy of the application resource is deployed on the target edge device.
In some examples, the operations of the creation module 701 and the synchronization module 702 correspond to steps 301 and 302, respectively, of the method 300 described above with respect to fig. 3, and are not described in detail herein.
Although specific functions are discussed above with reference to specific modules, it should be noted that the functions of the various modules discussed herein may be divided into multiple modules and/or at least some of the functions of the multiple modules may be combined into a single module. The particular module performing the action discussed herein includes the particular module itself performing the action, or alternatively the particular module invoking or otherwise accessing another component or module performing the action (or performing the action in conjunction with the particular module). Thus, a particular module that performs an action may include that particular module itself that performs the action and/or another module that the particular module invokes or otherwise accesses that performs the action.
The exemplary embodiments of the present disclosure also provide an electronic device including: at least one processor and a memory communicatively coupled to the at least one processor. The memory stores a computer program executable by the at least one processor for causing the electronic device to perform a method according to an embodiment of the present disclosure when executed by the at least one processor.
The exemplary embodiments of the present disclosure also provide a non-transitory computer readable storage medium storing a computer program. The computer program is for causing a computer to perform a method according to an embodiment of the present disclosure when executed by a processor of the computer.
The exemplary embodiments of the present disclosure also provide a computer program product, including a computer program. The computer program is for causing a computer to perform a method according to an embodiment of the present disclosure when executed by a processor of the computer.
Referring to fig. 8, a block diagram of an electronic device 800 that may be a server or a client of the present disclosure, which is an example of a hardware device that may be applied to aspects of the present disclosure, will now be described. Electronic devices are intended to represent various forms of digital electronic computer devices, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 8, the apparatus 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data required for the operation of the device 800 can also be stored. The computing unit 801, the ROM 802, and the RAM 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to the bus 804.
Various components in device 800 are connected to I/O interface 805, including: an input unit 806, an output unit 807, a storage unit 808, and a communication unit 809. The input unit 806 may be any type of device capable of inputting information to the device 800, the input unit 806 may receive input numeric or character information and generate key signal inputs related to user settings and/or function control of the electronic device, and may include, but is not limited to, a mouse, a keyboard, a touch screen, a trackpad, a trackball, a joystick, a microphone, and/or a remote control. The output unit 807 may be any type of device capable of presenting information and may include, but is not limited to, a display, speakers, video/audio output terminals, vibrators, and/or printers. The storage unit 808 may include, but is not limited to, magnetic disks, optical disks. The communication unit 809 allows the device 800 to exchange information/data with other devices over computer networks, such as the internet, and/or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, wireless communication transceivers and/or chipsets, such as bluetooth (TM) devices, 1302.11 devices, wiFi devices, wiMax devices, cellular communication devices, and/or the like.
The computing unit 801 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as method 200 or method 300. For example, in some embodiments, the methods 200 and 300 may be implemented as computer software programs tangibly embodied on a machine-readable medium, such as the storage unit 808. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 800 via ROM 802 and/or communication unit 809. When a computer program is loaded into RAM 803 and executed by computing unit 801, one or more steps of method 200 or method 300 described above may be performed. Alternatively, in other embodiments, computing unit 801 may be configured to perform method 200 or method 300 by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
Although embodiments or examples of the present disclosure have been described with reference to the accompanying drawings, it is to be understood that the foregoing methods, systems, and apparatus are merely exemplary embodiments or examples, and that the scope of the present invention is not limited by these embodiments or examples but only by the claims following the grant and their equivalents. Various elements of the embodiments or examples may be omitted or replaced with equivalent elements thereof. Furthermore, the steps may be performed in a different order than described in the present disclosure. Further, various elements of the embodiments or examples may be combined in various ways. It is important that as technology evolves, many of the elements described herein may be replaced by equivalent elements that appear after the disclosure.
Claims (14)
1. An application resource deployment method is applied to an edge device cluster, wherein the edge device cluster comprises one or more edge devices, and the method comprises the following steps:
in response to determining that an application resource to be deployed is included in the list to be synchronized, acquiring information of the application resource, wherein the information of the application resource comprises equipment selection information;
determining a target edge device from the one or more edge devices based on the device selection information;
A copy of the application resource is deployed on the target edge device,
when the edge device cluster comprises a plurality of edge devices, determining a plurality of candidate edge devices from the plurality of edge devices according to the device selection information, and acquiring resource evaluation information of each candidate edge device in the plurality of candidate edge devices; and
determining the target edge device from the plurality of candidate edge devices based on the resource evaluation information;
wherein each of the one or more edge devices comprises one or more resources, the device selection information comprises a weight proportion of the one or more resources of the edge device to which the copy of the application resource is to be deployed,
and wherein obtaining the resource evaluation information for each of the plurality of candidate edge devices comprises:
and acquiring a resource value of each resource in one or more resources of the candidate edge equipment aiming at each candidate edge equipment in the plurality of candidate edge equipment, and determining resource evaluation information of the candidate edge equipment based on the resource value and the weight proportion.
2. The method of claim 1, wherein each of the one or more edge devices has a label characterized by one or more key-value pairs,
and wherein determining, based on the device selection information, a target edge device from the one or more edge devices comprises:
and determining a first edge device of the one or more edge devices as the target edge device in response to determining that a label of the first edge device meets a key value matching rule defined by the device selection information.
3. An application resource deployment method applied to an edge computing system cloud, the method comprising:
in response to receiving an application resource deployment request, creating an application resource corresponding to the application resource deployment request, wherein information of the application resource comprises equipment selection information; and
synchronizing the application resource into a to-be-synchronized list of a target edge device cluster, wherein the target edge device cluster includes one or more edge devices, and wherein the target edge device cluster is configured to: determining a target edge device from the one or more edge devices based on the device selection information, and deploying a copy of the application resource on the target edge device;
Wherein, in case the edge device cluster comprises a plurality of edge devices, the target edge device cluster is configured to: responding to the equipment selection information, determining a plurality of candidate edge equipment from the plurality of edge equipment, and acquiring resource evaluation information of each candidate edge equipment in the plurality of candidate edge equipment; and
determining the target edge device from the plurality of candidate edge devices based on the resource evaluation information;
wherein each of the one or more edge devices comprises one or more resources, the device selection information comprises a weight proportion of the one or more resources of the edge device to which the copy of the application resource is to be deployed,
and wherein obtaining the resource evaluation information for each of the plurality of candidate edge devices comprises:
and acquiring a resource value of each resource in one or more resources of the candidate edge equipment aiming at each candidate edge equipment in the plurality of candidate edge equipment, and determining resource evaluation information of the candidate edge equipment based on the resource value and the weight proportion.
4. The method of claim 3, wherein the information of the application resource further comprises cluster selection information,
And wherein the method further comprises:
and determining the target edge device cluster from one or more edge device clusters based on the cluster selection information.
5. The method of claim 3 or 4, wherein each of the one or more edge devices included in the target cluster of edge devices has a label characterized by one or more key-value pairs,
and wherein the target edge device cluster determines a target edge device based on the device selection information by:
and determining a first edge device of the one or more edge devices included in the target edge device cluster as the target edge device in response to determining that a label of the first edge device meets a key value matching rule defined by the device selection information.
6. An application resource deployment apparatus, comprising:
the acquisition module is configured to acquire information of application resources to be deployed in response to determining that the list to be synchronized of the edge device cluster comprises the application resources to be deployed, wherein the information of the application resources comprises device selection information, and the edge device cluster comprises one or more edge devices;
A device determination module configured to determine a target edge device from the one or more edge devices based on the device selection information; and
a deployment module configured to deploy a copy of the application resource on the target edge device;
wherein the device determination module comprises:
a first sub-determining module configured to, in a case where the edge device cluster includes a plurality of edge devices, determine a plurality of candidate edge devices from the plurality of edge devices in response to the device selection information, and acquire resource evaluation information of each candidate edge device in the plurality of candidate edge devices; and
a second sub-determination module configured to determine the target edge device from the plurality of candidate edge devices based on the resource evaluation information;
wherein each of the one or more edge devices comprises one or more resources, the device selection information comprises a weight proportion of the one or more resources of the edge device to which the copy of the application resource is to be deployed,
and wherein the second sub-determination module is further configured to:
and acquiring a resource value of each resource in one or more resources of the candidate edge equipment aiming at each candidate edge equipment in the plurality of candidate edge equipment, and determining resource evaluation information of the candidate edge equipment based on the resource value and the weight proportion.
7. The apparatus of claim 6, wherein each of the one or more edge devices has a label characterized by one or more key-value pairs,
and wherein the device determination module is further configured to:
and determining a first edge device of the one or more edge devices as the target edge device in response to determining that a label of the first edge device meets a key value matching rule defined by the device selection information.
8. An application resource deployment apparatus, comprising:
a creation module configured to create an application resource corresponding to an application resource deployment request in response to receiving the application resource deployment request, wherein information of the application resource includes device selection information; and
a synchronization module configured to synchronize the application resource into a to-be-synchronized list of a target edge device cluster, wherein the target edge device cluster comprises one or more edge devices, and wherein the target edge device cluster is configured to: determining a target edge device from the one or more edge devices based on the device selection information, and deploying a copy of the application resource on the target edge device;
Wherein the target edge device cluster is further configured to:
in the case that the edge device cluster comprises a plurality of edge devices, responding to the device selection information, determining a plurality of candidate edge devices from the plurality of edge devices, and acquiring resource evaluation information of each candidate edge device in the plurality of candidate edge devices; and
determining the target edge device from the plurality of candidate edge devices based on the resource evaluation information;
wherein each of the one or more edge devices comprises one or more resources, the device selection information comprises a weight proportion of the one or more resources of the edge device to which the copy of the application resource is to be deployed,
and wherein the target edge device cluster is further configured to:
and acquiring a resource value of each resource in one or more resources of the candidate edge equipment aiming at each candidate edge equipment in the plurality of candidate edge equipment, and determining resource evaluation information of the candidate edge equipment based on the resource value and the weight proportion.
9. The apparatus of claim 8, wherein the information of the application resource further comprises cluster selection information,
And wherein the apparatus further comprises:
and a cluster determining module configured to determine the target edge device cluster from one or more edge device clusters based on the cluster selection information.
10. The apparatus of claim 8 or 9, wherein each of the one or more edge devices included in the target cluster of edge devices has a label characterized by one or more key-value pairs,
and wherein the target edge device cluster determines the target edge device based on the device selection information by:
and determining a first edge device of the one or more edge devices included in the target edge device cluster as the target edge device in response to determining that a label of the first edge device meets a key value matching rule defined by the device selection information.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the method comprises the steps of
The memory stores a computer program executable by the at least one processor for causing the electronic device to perform the method according to claim 1 or 2 when executed by the at least one processor.
12. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the method comprises the steps of
The memory stores a computer program executable by the at least one processor for causing the electronic device to perform the method according to any one of claims 3-5 when executed by the at least one processor.
13. A computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform the method according to claim 1 or 2.
14. A computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is for causing the computer to perform the method according to any one of claims 3-5.
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| CN113992690B (en) * | 2021-10-26 | 2023-10-27 | 北京百度网讯科技有限公司 | Message transmission method, device, equipment and storage medium |
| CN114513524B (en) * | 2022-02-15 | 2023-08-29 | 北京百度网讯科技有限公司 | Resource synchronization method and device, electronic equipment and storage medium |
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