CN114465872A - Method, device and equipment for adjusting edge computing resources and storage medium - Google Patents
Method, device and equipment for adjusting edge computing resources and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device and equipment for adjusting edge computing resources and a computer readable storage medium, wherein the method comprises the following steps: detecting alarm edge servers in each edge server; if the warning edge server is detected, determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the warning edge server and the quality information of the wifi connection signal; changing the wifi connection of the current target equipment from the alarm edge server to a target edge server; when the resources of the alarm edge server are insufficient, the method moves a part of wifi connection relations and processing services of wifi terminal equipment connected in the alarm edge server to other edge servers, dynamically balances the resource allocation of each edge server, and improves the application efficiency of edge calculation.
Description
Technical Field
The present invention relates to the field of edge computing technologies, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for adjusting edge computing resources.
Background
The edge calculation is a distributed calculation structure, which moves the calculation of application program, data and service from the central node of the network to the edge node of the network logic for processing. Edge computing decomposes large services originally handled entirely by the central node, cuts them into smaller and more manageable parts, and distributes them to the edge nodes for processing. The edge node is closer to the user terminal device, so that the processing and transmission speed of the data can be increased, and the delay can be reduced.
Edge computing requires self-processing of a large amount of data, and has capabilities of storage, memory, CPU computing, AI (Artificial Intelligence) computing, network transmission, network access, and the like. When the edge computing is in the field layout of the client, the distributed wifi access is an important access mode, and the terminal acquisition devices are in wireless connection, so that the terminal deployment is easy. And data processing and calculation are carried out on the data of the wifi terminal equipment at the edge server, and only the processed data are sent to the central server.
In the prior art, a typical edge computing deployment based on distributed wifi terminal devices may be as shown in fig. 1, where a plurality of wifi terminal devices are connected to a same edge server device, and a plurality of edge server devices are externally connected to a same gateway and a same service scheduling system device through ethernet (Eth). when the wifi terminal device processes related tasks in the edge server, CPU computing resources, AI computing resources, hard disk storage resources, memory capacity resources, network transmission resources, network access resources, and the like of the edge server need to be consumed. Under the condition that the layout of the distributed wifi environment is unreasonable, or the consumption is accumulated after long-time running, or a computing service is newly added, the load of part of edge servers is possibly overlarge, and resources are not enough to support related services; at this time, the terminal devices which are possibly accessed by other edge servers are too few, and the conditions of low workload and sufficient resources are still existed; therefore, resource distribution of each edge server in a distributed wifi edge computing scene is unbalanced, service use is affected, and application efficiency is low.
Therefore, how to dynamically balance the resource allocation of each edge server and improve the application efficiency of edge calculation is a problem that needs to be solved urgently today.
Disclosure of Invention
The invention aims to provide a method, a device and equipment for adjusting edge computing resources and a computer readable storage medium, so as to dynamically balance the resource allocation of each edge server and improve the application efficiency of edge computing.
To solve the above technical problem, the present invention provides a method for adjusting edge computing resources, comprising:
detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds;
if the warning edge server is detected, determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the warning edge server and the wifi connection signal quality information; the current target equipment is any wifi terminal equipment;
and changing the wifi connection of the current target equipment from the alarm edge server to the target edge server.
Optionally, the determining, according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected to the alarm edge server, and the wifi connection signal quality information, the current target device in the wifi terminal device and the target edge server corresponding to the current target device includes:
and determining the current target equipment and the target edge server according to the respective resource occupation condition and resource safety threshold of each edge server, the resource occupation estimated condition of wifi terminal equipment connected with each edge server and wifi connection signal quality information.
Optionally, the determining a current target device and the target edge server according to the respective resource occupation condition and the resource security threshold of each edge server and the resource occupation estimation condition of the wifi terminal device connected to each edge server and the wifi connection signal quality information includes:
determining the wifi terminal device with the largest resource occupation of the alarm resources as the current device to be switched according to the resource occupation estimation condition of the wifi terminal device connected with the alarm edge server;
calculating system efficiency evaluation values corresponding to all switchable edge servers according to wifi connection signal quality information and resource occupation prediction conditions of current equipment to be switched and respective resource occupation conditions of all the edge servers; wherein the switchable edge server is an edge server outside the alarm edge server which is connectable to the equipment to be switched currently;
detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety threshold of each edge server;
if the selected edge server exists, determining the current equipment to be switched as the current target equipment, and determining the selected edge server with the maximum system efficiency evaluation value as the target edge server;
if the switchable edge server or the selected edge server does not exist, determining the current to-be-switched equipment as non-target equipment, determining wifi terminal equipment with the largest resource occupation except the non-target equipment as the current to-be-switched equipment according to the sequence of the resource occupation of the alarm resources from large to small, and executing the step of calculating the system efficiency evaluation value corresponding to each switchable edge server according to the wifi connection signal quality information and the resource occupation estimation condition of the current to-be-switched equipment and the resource occupation condition of each edge server.
Optionally, the calculating, according to the wifi connection signal quality information and the resource occupation prediction condition of the current device to be switched and the respective resource occupation condition of each edge server, the system efficiency evaluation value corresponding to each of all switchable edge servers includes:
estimating and calculating a system efficiency evaluation value after the current equipment to be switched is switched to each switchable edge server by (II (0: n) Fs (Sx-y-Gs)) (II (0: m) (Fcpu (RRcpu-Gcpu) Fgpu (RRgpu-Ggpu) Fmem (RRmem-Gmem) Fdisk (RRdisk-Gdisk) Fwifi (RRwifi-Gwifi) F delta disk ((RRdisk-Gdisk)/delta RRdisk-Gtime))); wherein n is the number of wifi terminal devices connected to the edge server, Fs is a signal quality weight, Sx-y is the signal quality of wifi terminal device x and edge server y, Gs is a signal quality threshold, m is the number of the edge server, Fcpu, Fgpu, Fmem, Fdisk, Fnet, Fwifi and F Δ disk are respectively a CPU computing resource weight, an AI computing resource weight, a memory capacity resource weight, a hard disk storage resource weight, a network transmission resource weight, a network access resource weight and a hard disk storage consumption rate weight, RRcpu, RRgpu, RRmem, RRdisk, rrnetwifi and rrΔ disk are respectively a residual CPU computing resource, a residual AI computing resource, a residual memory capacity resource, a residual hard disk threshold storage resource, a residual network transmission resource, a residual network access resource and a residual hard disk storage consumption rate, Gcpu, Ggup, Gmem, Gdisk, gnisk, gnfi and gmet are respectively a CPU security computing resource, The AI computing resource residual safety threshold, the memory capacity resource residual safety threshold, the hard disk storage resource residual safety threshold, the network transmission resource residual safety threshold, the network access resource residual safety threshold and the hard disk storage consumption rate residual safety threshold.
Optionally, the determining, as a non-target device, the current device to be switched, and determining, as the current device to be switched, the wifi terminal device with the largest resource occupation, other than the non-target device, according to the sequence that the resource occupation of the alarm resource is from large to small, includes:
determining the current equipment to be switched as the non-target equipment;
judging whether the wifi terminal devices connected with the alarm edge server are the non-target devices or not;
if the non-target devices are not uniform, determining the wifi terminal device with the largest resource occupation except the non-target devices as the current device to be switched, and executing the step of detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety thresholds of the edge servers;
and if the devices are the non-target devices, reporting serious alarm information.
Optionally, the changing the wifi connection of the current target device from the alarm edge server to the target edge server includes:
controlling the alarm edge server to exit the service of the current target equipment;
controlling the current target equipment to change the wifi connection from the alarm edge server to the target edge server through the alarm edge server;
and controlling the target edge server to start the service of the current target equipment.
Optionally, after the changing the wifi connection of the current target device from the alarm edge server to the target edge server, the method further includes:
judging whether the occupation condition of the alarm resources of the alarm edge server is not greater than a corresponding resource safety threshold or not;
and if not, executing the step of determining the current target equipment in the wifi terminal equipment and the target edge server corresponding to the current target equipment according to the respective resource occupation condition of each edge server, the resource occupation estimated condition of the wifi terminal equipment connected with the alarm edge server and the quality information of the wifi connection signal.
The invention also provides a device for adjusting the edge computing resources, which comprises:
the alarm detection module is used for detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds;
the adjustment determining module is used for determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the alarm edge server and the wifi connection signal quality information if the alarm edge server is detected; the current target equipment is any wifi terminal equipment;
and the adjusting module is used for changing the wifi connection of the current target equipment from the alarm edge server to the target edge server.
The invention also provides an adjusting device of edge computing resources, which comprises:
a memory for storing a computer program;
a processor, configured to implement the steps of the method for adjusting edge computing resources as described above when executing the computer program.
Furthermore, the present invention also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for adjusting edge computing resources as described above.
The invention provides a method for adjusting edge computing resources, which comprises the following steps: detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds; if the warning edge server is detected, determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimated condition of the wifi terminal device connected with the warning edge server and the quality information of the wifi connection signal; the current target equipment is any wifi terminal equipment; changing the wifi connection of the current target equipment from the alarm edge server to a target edge server;
therefore, when the resources of the alarm edge server are insufficient, the method and the system can move part of wifi connection relations and processing services of wifi terminal equipment connected in the alarm edge server to other edge servers, and dynamically balance the resource allocation of each edge server, so that the problem of insufficient resources of the alarm edge server is solved, the effect of dynamic load sharing of edge computing resources is realized, and the application efficiency of edge computing is improved. In addition, the invention also provides a device and equipment for adjusting the edge computing resources and a computer readable storage medium, and the device and the equipment also have the beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a typical edge computing deployment of a distributed wifi terminal device;
FIG. 2 is a flowchart illustrating an adjusting method for edge computing resources according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating another method for adjusting edge computing resources according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a networking topology after switching of a current device to be switched according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating another method for adjusting edge computing resources according to an embodiment of the present invention;
FIG. 6 is a block diagram illustrating an apparatus for adjusting edge computing resources according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an apparatus for adjusting edge computing resources according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an apparatus for adjusting edge computing resources according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 2, fig. 2 is a flowchart illustrating an adjusting method of edge computing resources according to an embodiment of the present invention. The method can comprise the following steps:
step 101: detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds.
It is understood that the edge server in this step may be an edge server to which the service scheduling system device is connected, such as the edge server connected to the same gateway shown in fig. 1. The alarm resource in this step may be a resource whose occupation status is greater than a corresponding resource security threshold in the alarm edge server, for example, the occupation status of the alarm resource is greater than the resource security threshold corresponding to the alarm resource in the alarm edge server, or the occupation status of the remaining resource of the alarm resource is less than the remaining resource security threshold corresponding to the alarm resource in the alarm edge server.
Specifically, the alarm resource in this step may be a resource that is greater than the corresponding resource security threshold in one of the resources that need to be dynamically balanced in the alarm edge server. The resources that need to be dynamically balanced in each edge server may be resources of the edge server that need to be consumed when the wifi terminal device processes a related task in the edge server, such as CPU computing resources, AI computing resources, hard disk storage resources, memory capacity resources, network transmission resources, network access resources, and the like.
Correspondingly, for the specific resource type of the alarm resource in this step, i.e. the amount and type of the resource needing dynamic balancing in the edge server, can be set by designers according to practical scenes and user requirements, for example, the resources in the edge server can comprise any one or more of CPU computing resources, AI computing resources, memory capacity resources, hard disk storage resources, network transmission resources, network access resources and hard disk storage resource consumption rates, for example, when the resources in the edge server include CPU computing resources, AI computing resources, memory capacity resources, hard disk storage resources, network transmission resources, network access resources, and hard disk storage resource consumption rates, the alarm resource can be any one of CPU computing resource, AI computing resource, memory capacity resource, hard disk storage resource, network transmission resource, network access resource and hard disk storage resource consumption rate; as shown in fig. 3, the resources in the edge server may also include CPU computing resources, AI computing resources, memory capacity resources, hard disk storage resources, network transmission resources, and network access resources.
It should be noted that the method provided by this embodiment may be applied to the service scheduling system device shown in fig. 1; it can also be applied to any edge server, such as an alarm edge server. The present embodiment does not set any limit to this. The specific way of detecting the warning edge server in each edge server by the processor in the step can be set by a designer according to a practical scene and user requirements, for example, the processor of the service scheduling system equipment can receive resource warning information sent by the edge server and determine the edge server sending the resource warning information as the warning edge server; for example, each edge server may calculate that various resources (such as CPU computing resources, AI computing resources, memory capacity resources, and the like) need to be consumed in a working process, monitor occupation conditions of the various resources in real time, set up a warning waterline (i.e., a resource security threshold) for normal working for the various resources, prove that the edge server (i.e., the warning edge server) is about to suffer from resource shortage when one edge server continuously exceeds the warning waterline of a certain resource, and may send resource warning information to the service scheduling system device, where the resource warning information may include information of the resource that is about to suffer from shortage (i.e., warning resource information). The processor can also calculate the detection alarm edge server according to the respective resource occupation condition of each edge server and the respective corresponding resource safety threshold (or resource residual safety threshold) of each type of resource. The present embodiment does not set any limit to this.
Step 102: if the warning edge server is detected, determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the warning edge server and the quality information of the wifi connection signal; and the current target equipment is any wifi terminal equipment.
It should be noted that the resource occupation status of each edge server in this step may include occupation statuses of any one or more items of CPU computing resources, AI computing resources, memory capacity resources, hard disk storage resources, network transmission resources, network access resources, and hard disk storage resource consumption rates, if the resource occupation situation includes occupation situations of CPU computing resources, AI computing resources, memory capacity resources, hard disk storage resources, network transmission resources, network access resources and hard disk storage resource consumption rates, the resource occupation condition may include a remaining CPU computing resource (Rcpu), a remaining AI computing resource (Rgpu), a remaining memory capacity resource (Rmem), a remaining hard disk storage resource (Rdisk), a remaining network transmission resource (Rnet), a remaining network access resource (Rwifi), and a remaining hard disk storage resource consumption rate (Δ Rdisk).
Correspondingly, the estimation condition of the resource occupation of the wifi terminal device connected to the warning edge server in this step may be the amount of the resource of the warning edge server occupied by the wifi terminal device connected to the warning edge server estimated or preset by the warning edge server, such as CPU computing resource occupation estimation (Dcpu), AI computing resource occupation estimation (Dgpu), memory capacity resource occupation estimation (Dmem), hard disk storage resource occupation estimation (Ddisk), network transmission resource occupation estimation (Dnet), network access resource occupation estimation (Dwifi), and hard disk storage resource consumption rate estimation (Δ Ddisk). For example, each edge server may send the estimated resource occupation condition of the wifi terminal device connected to each edge server to the service scheduling system device.
Specifically, the wifi connection signal quality information of the wifi terminal device connected to the warning edge server in this step may include information of each edge server to which the wifi terminal device connected to the warning edge server can be connected; for example, when wifi terminal equipment starts, wifi connection relations can be automatically polled one by one, the wifi terminal equipment is connected to each edge server, the edge servers can be confirmed to be normally connected, signal quality intensity of wifi connected to each edge server is recorded, the connection relations and the signal quality of the wifi equipment meeting signal connection quality are sent to service scheduling system equipment, and a wifi connection signal quality table (namely wifi connection signal quality information) is maintained.
It can be understood that, in this step, the processor may determine that, in the wifi terminal devices connected to the warning edge server, it is currently necessary to adjust one wifi terminal device (i.e., the current target device) connected to another edge server and one edge server (i.e., the target edge server) to which the wifi terminal device is to be connected, so as to reduce the occupation of the warning resources of the warning edge server, by using the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected to the warning edge server, and the wifi connection signal quality information.
Specifically, for the specific mode that the processor determines the current target device in the wifi terminal device and the target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the alarm edge server and the quality information of the wifi connection signal in the step, can be set by a designer according to practical scenes and user requirements, for example, the processor can determine the current target equipment and the target edge server by utilizing the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal equipment connected with the alarm edge server and the quality information of the wifi connection signal, therefore, the current target equipment can be switched to the target edge server, and the occupation condition of various resources after being switched to the target edge server is not greater than the corresponding resource safety threshold. The processor can also determine the current target equipment and the target edge server according to the respective resource occupation condition and the resource safety threshold of each edge server, the resource occupation estimated condition of the wifi terminal equipment connected with each edge server and the quality information of the wifi connection signal. The present embodiment does not set any limit to this.
Correspondingly, the specific mode of the current target equipment and the target edge server is determined by the processor according to the respective resource occupation condition and the resource safety threshold of each edge server and the resource occupation estimation condition of the wifi terminal equipment connected with each edge server and the quality information of the wifi connection signal, and the specific mode can be set by a designer, and the processor can determine the wifi terminal equipment with the largest resource occupation of the alarm resource as the current equipment to be switched according to the resource occupation estimation condition of the wifi terminal equipment connected with the alarm edge server; calculating system efficiency evaluation values corresponding to all switchable edge servers according to wifi connection signal quality information and resource occupation prediction conditions of current equipment to be switched and respective resource occupation conditions of all edge servers; detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety threshold of each edge server; if the selected edge server exists, determining the current equipment to be switched as the current target equipment, and determining the selected edge server with the maximum system efficiency evaluation value as the target edge server; if no switchable edge server exists or an edge server is selected, determining the current to-be-switched equipment as non-target equipment, determining wifi terminal equipment with the largest resource occupation except the non-target equipment as the current to-be-switched equipment according to the sequence of resource occupation of alarm resources from large to small, and calculating system efficiency evaluation values corresponding to all switchable edge servers according to wifi connection signal quality information and resource occupation estimation conditions of the current to-be-switched equipment and respective resource occupation conditions of all edge servers; wherein, the switchable edge server can be an edge server except the alarm edge server which can be connected with the current equipment to be switched.
That is to say, the processor may determine the current device to be switched according to the descending order of the occupation situations of the alarm resources (i.e., the estimated resource occupation situations of the alarm resources) corresponding to the wifi terminal device connected to the alarm edge server, that is, the wifi terminal device with the largest occupation situation of the alarm resources can be connected to other edge servers, the wifi terminal device with the largest occupation situation of the alarm resources after being connected to other edge servers still satisfies the resource safety threshold is determined as the current device to be switched, and the edge server with the largest system efficiency evaluation value among the other edge servers (i.e., the selected edge server) that still satisfies the resource safety threshold after being connected is determined as the target edge server.
For example, assuming that the alarm resource of the edge server 0 is a CPU computing resource, that is, Rcpu < Gcpu, the processor of the service scheduling system device may retrieve wifi terminal devices occupying the most CPU computing resources in the edge server 0 from large to small by using a resource load dynamic optimization algorithm, where the sequence is, for example, terminal devices 0, 1, and 2 …; the processor can perform a system efficiency evaluation algorithm on the terminal device 0, pre-estimate whether the terminal device 0 is connected to other edge servers to achieve a feasible system efficiency evaluation value according to a wifi connection signal quality table of the terminal device 0, poll the wifi terminal device to pre-estimate the overall system efficiency evaluation value of each networking condition based on all networking conditions meeting requirements in the quality of the wifi connection signal, select a connection relation with the optimal overall system efficiency evaluation value, determine the wifi terminal device as a current target device if other edge servers corresponding to the optimal connection relation still meet the resource safety threshold requirement, and determine the optimal connection relation as a target edge server; if the terminal device 0 cannot find a connection mode meeting the requirement of the resource safety threshold, continuously estimating whether other terminal devices in the edge server 0 have a feasible edge server connection relation according to the sequence of occupied resources from the terminal devices 1 and 2, and determining the terminal device 1 or 2 as the current target device after finding the feasible connection relation.
Specifically, this embodiment does not limit the specific way for the processor to calculate the system efficiency evaluation value corresponding to each of all switchable edge servers, for example, the processor may calculate the system efficiency evaluation value after the current device to be switched to each switchable edge server by (ii (0: n) Fs (Sx-y-Gs)), (ii (0: m) (Fcpu (RRcpu-Gcpu) × Fgpu (RRgpu-Ggpu) × Fmem (RRmem-Gmem) 'Fdisk (RRdisk-Gdisk)' Fnet (RRnet-gnt) ((RRwifi-gwfi)/. DELTA RRdisk-gdime))), and predict the system efficiency evaluation value after the current device to be switched to each switchable edge server; wherein n is the number of wifi terminal devices connected with the edge server, Fs is a signal quality weight, Sx-y is the signal quality of wifi terminal devices x and edge server y, Gs is a signal quality threshold, m is the number of edge servers, Fcpu, Fgpu, Fmem, Fdisk, Fnet, Fwifi and F Δ disk are respectively CPU computing resource weight, AI computing resource weight, memory capacity resource weight, hard disk storage resource weight, network transmission resource weight, network access resource weight and hard disk storage consumption rate weight, RRcpu, RRgpu, RRmem, RRdisk, RRnet, RRwifi and Δ RRdisk are respectively residual CPU computing resource, residual AI computing resource, residual memory capacity resource, residual hard disk storage resource, residual network transmission resource, residual network access resource and residual hard disk storage consumption rate, Gcpu, Ggup, Gmem, Gdisk, Gdial, Gnet, Gwifi and Gnet are respectively CPU computing resource safety computing resource, AI computing resource residual safety threshold, memory capacity resource residual safety threshold, hard disk storage resource residual safety threshold, network transmission resource residual safety threshold, network access resource residual safety threshold and hard disk storage consumption rate residual safety threshold (i.e. time threshold); by setting the Gtime, the situation that the residual capacity of the hard disk storage resource reaches beyond a corresponding safety threshold can not occur after the Gtime is operated, namely the delta Rdisk can be smaller than (Rdisk-Gdisk)/the Gtime. Correspondingly, if the remaining resource of a certain type of resource is less than the resource remaining safety threshold, the weight of the type of resource may be 0, and for example, when RRcpu0 is less than Gcpu0, Fcpu may be 0.
For example, when the networking topology after the current device to be switched to a switchable edge server is shown in fig. 4, the corresponding system efficiency evaluation value ((Fs (G-0-Gs) × Fs (G-1-Gs)) (Fcpu (Rcpu-Dcpu-Gcpu) }Fgpu (Rgpu-Dgpu-Ggpu) ((Rpid-Dgdpu-Ggpu) ((Rfdu-Ddpu) (Dgpu-Gdisk) ((Rnet-Dvdisk) ((Rnet-Dwifi-Ddful) (Dgpu-Gdisk) ((Rmt) (dgwipe-Dwifi-Ddful-Gdisk) (Dgpu) ((Rdmd-Ddful) (Dgpu-Ddful) ((Rfddi-Ddful) (Dgpu-Ddful) ((Rmfi-Ddful) (Dgpu-Ddful) ((Rfdul) (dgwipe-Ddful))) (dgwipe-Ddful) (dgwipe))) ((Rfdul))))) (dgwipe-Ddful) ((Rfddi))))) (dgwipe-Ddful)) ((Ddful) ((Rfddish))))))))) ((Ddful)) (dgwipe-Ddful))) ((Ddful))))))))) ((Ddful)))) (dgwipe-Ddful) ((Ddful)))))))) ((Ddful)))) ((Ddful))))))))) ((Ddful)))))))))) ((Ddful)))))) ((Ddful))))))))) ((Ddful)))) ((Ddful))))))))))))))))))))))))) ((Ddful))))))))))))) ((Ddful)))) ((Ddful)))))))) ((Ddful)))))))))))))))))))) ((Ddful)))))))))))) ((Ddful (. DELTA Rdisk1 +. DELTA Ddisk2 +. DELTA Ddisk3) -Gtime 1); g0-0 is the signal quality of the terminal device 0 and the edge server 0, Gs0 is the signal quality threshold of the terminal device 0, RRcpu0 is Rcpu 0-Dcpu 0-Dcpu 1, RRcpu0 is the predicted remaining CPU computing resource of the edge server 0 after the current device to be switched is switched to the switchable edge server, and Rcpu0 is the remaining CPU computing resource of the edge server 0 before the current device to be switched is switched to the switchable edge server.
Correspondingly, the embodiment does not limit the specific process that the processor determines the current device to be switched as the non-target device, and determines the wifi terminal device with the largest resource occupation except the non-target device as the current device to be switched according to the sequence from the large resource occupation to the small resource occupation of the alarm resource, for example, the processor may determine the current device to be switched as the non-target device; judging whether wifi terminal equipment connected with the alarm edge server is non-target equipment or not; if not, determining wifi terminal equipment with the largest resource occupation except the non-target equipment as current equipment to be switched, and executing the step of detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety thresholds of the edge servers; if the alarm information is non-target equipment, the fact that the wifi terminal equipment connected with the alarm edge server cannot be switched to the wifi terminal equipment of other edge servers can be determined, balance cannot be conducted, serious alarm information can be reported, and operation and maintenance personnel are informed to conduct manual processing.
Step 103: and changing the wifi connection of the current target equipment from the alarm edge server to the target edge server.
It can be understood that, in this step, after determining the current target device and the target edge server corresponding to the current target device, the processor may change the wifi connection of the current target device from the alarm edge server to the target edge server, so as to achieve the effect of dynamic load sharing of the edge computing resource.
Specifically, for the specific way in which the processor changes the wifi connection of the current target device from the alarm edge server to the target edge server in this step, the designer can set the way according to the practical scene and the user requirement, for example, the processor can directly change the wifi connection of the current target device from the alarm edge server to the target edge server after determining the current target device and the target edge server; correspondingly, the processor can judge whether the occupation condition of the alarm resources of the alarm edge server is not more than the corresponding resource safety threshold after the step; if not, entering step 102, and continuing to determine and adjust the wifi connection of the current target device; if so, the process may be ended. The processor can also change the determined wifi connection of all target devices from the alarm edge server to the respective corresponding target edge server; that is, the processor in this step can judge whether the difference obtained by subtracting all target devices from the occupation condition of the alarm resource of the alarm edge server is not greater than the corresponding resource safety threshold; if not, entering step 102, and continuing to determine the next target device; if yes, the determined wifi connections of all the target devices can be changed from the alarm edge server to the corresponding target edge servers. The present embodiment does not set any limit to this.
Correspondingly, the specific process that the processor changes the wifi connection of the current target device from the alarm edge server to the target edge server in the step can be set by a designer, for example, the processor of the service scheduling system device can control the alarm edge server to exit the service of the current target device; controlling the current target equipment to change the wifi connection from the alarm edge server to the target edge server through the alarm edge server; and controlling the target edge server to start the service of the current target equipment. As shown in fig. 5, when the current target device is the terminal device 0 connected to the server (i.e. the warning edge server), the service scheduling system device first issues an instruction to switch wifi to the latest connection relationship to the terminal device 0 through the server, the server firstly closes the service of the terminal equipment in the server, then informs the terminal equipment 0 to switch wifi, after the terminal equipment 0 receives the command of switching wifi, the wifi is switched to the edge server with the latest connection relation (namely the target edge server), meanwhile, the service scheduling system sends a command for opening the service of the terminal device 0 to the edge server with the latest connection relation, and after receiving the connection relation of the terminal device 0, and automatically opening corresponding processing services to complete the wifi connection relation of the terminal device 0 and the processing process of switching the services to the new edge server.
In the embodiment, when the resources of the alarm edge server are insufficient, the wifi connection relation and the processing service of a part of wifi terminal equipment connected in the alarm edge server can be moved to other edge servers, and the resource allocation of each edge server is dynamically balanced, so that the problem of insufficient resources of the alarm edge server is solved, the effect of dynamic load sharing of edge computing resources is realized, and the application efficiency of edge computing is improved.
Corresponding to the above method embodiment, an embodiment of the present invention further provides an apparatus for adjusting edge computing resources, and the apparatus for adjusting edge computing resources described below and the method for adjusting edge computing resources described above may be referred to correspondingly.
Referring to fig. 6, fig. 6 is a block diagram illustrating an adjusting apparatus for edge computing resources according to an embodiment of the present invention. The apparatus may include:
an alarm detection module 10, configured to detect an alarm edge server in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds;
an adjustment determining module 20, configured to determine, if an alarm edge server is detected, a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to respective resource occupation conditions of each edge server, a resource occupation estimation condition of a wifi terminal device connected to the alarm edge server, and wifi connection signal quality information; the current target equipment is any wifi terminal equipment;
and the adjusting module 30 is configured to change the wifi connection of the current target device from the alarm edge server to the target edge server.
Optionally, the adjustment determining module 20 may be specifically configured to determine the current target device and the target edge server according to the respective resource occupation condition and the resource security threshold of each edge server, and the resource occupation estimated condition of the wifi terminal device connected to each edge server and the wifi connection signal quality information.
Optionally, the adjustment determining module 20 may include:
the first determining submodule is used for determining the wifi terminal equipment with the largest resource occupation of the alarm resources as the current equipment to be switched according to the resource occupation estimation condition of the wifi terminal equipment connected with the alarm edge server;
the computing submodule is used for computing system efficiency evaluation values corresponding to all switchable edge servers according to wifi connection signal quality information and resource occupation prediction conditions of the current equipment to be switched and respective resource occupation conditions of all the edge servers; the switchable edge server is an edge server except an alarm edge server which can be connected with the current equipment to be switched;
the detection submodule is used for detecting whether a selected edge server meeting the requirement of the safety threshold exists in the switchable edge servers according to the respective resource safety threshold of each edge server;
the second determining submodule is used for determining the current equipment to be switched as the current target equipment and determining the selected edge server with the maximum system efficiency evaluation value as the target edge server if the selected edge server exists;
and the third determining submodule is used for determining the current device to be switched as the non-target device if the switchable edge server does not exist or the edge server is selected, determining the wifi terminal device with the largest resource occupation except the non-target device as the current device to be switched according to the sequence of the resource occupation of the alarm resources from large to small, and sending a starting signal to the calculating submodule.
Optionally, the computation sub-module may be specifically configured to pre-estimate and compute the system efficiency evaluation value after the current device to be switched is switched to each switchable edge server by (ii (0: n) Fs (Sx-y-Gs)) (ii (0: m) (Fcpu (RRcpu-Gcpu) × Fgpu (RRgpu-Ggpu) } (RRmem-Gmem) } Fdisk (RRdisk-Gdisk) } Fnet (RRwifi-gwfi) } F Δ disk ((RRdisk-Gdisk)/Δ RRdisk-gttime)); wherein n is the number of wifi terminal devices connected with the edge server, Fs is a signal quality weight, Sx-y is the signal quality of wifi terminal devices x and edge server y, Gs is a signal quality threshold, m is the number of edge servers, Fcpu, Fgpu, Fmem, Fdisk, Fnet, Fwifi and F Δ disk are respectively CPU computing resource weight, AI computing resource weight, memory capacity resource weight, hard disk storage resource weight, network transmission resource weight, network access resource weight and hard disk storage consumption rate weight, RRcpu, RRgpu, RRmem, RRdisk, RRnet, RRwifi and Δ RRdisk are respectively residual CPU computing resource, residual AI computing resource, residual memory capacity resource, residual hard disk storage resource, residual network transmission resource, residual network access resource and residual hard disk storage consumption rate, Gcpu, Ggup, Gmem, Gdisk, Gdial, Gnet, Gwifi and Gnet are respectively CPU computing resource safety computing resource, AI computing resource remaining safety threshold, memory capacity resource remaining safety threshold, hard disk storage resource remaining safety threshold, network transmission resource remaining safety threshold, network access resource remaining safety threshold and hard disk storage consumption rate remaining safety threshold.
Optionally, the third determining submodule may be specifically configured to determine the current device to be switched as a non-target device; judging whether wifi terminal equipment connected with the alarm edge server is non-target equipment or not; if the devices are not non-target devices, determining wifi terminal devices with the largest resource occupation except the non-target devices as the current devices to be switched, and sending a starting signal to the computing submodule; and if the devices are non-target devices, reporting the serious alarm information.
Optionally, the adjusting module 30 may include:
the first control submodule is used for controlling the alarm edge server to exit the service of the current target equipment;
the second control submodule is used for controlling the current target equipment to change the wifi connection from the alarm edge server to the target edge server through the alarm edge server;
and the third control sub-module is used for controlling the target edge server to start the service of the current target equipment.
Optionally, the apparatus may further include:
the judgment magic card is used for judging whether the occupation condition of the alarm resources of the alarm edge server is not greater than the corresponding resource safety threshold or not after the current target equipment is connected to the target edge server; if not, the adjustment determination module 20 sends an activation signal.
In the embodiment, when the resources of the alarm edge server are insufficient, the wifi connection relation and the processing service of a part of wifi terminal equipment connected in the alarm edge server can be moved to other edge servers, and the resource allocation of each edge server is dynamically balanced, so that the problem of insufficient resources of the alarm edge server is solved, the effect of dynamic load sharing of edge computing resources is realized, and the application efficiency of edge computing is improved.
Corresponding to the above method embodiment, an embodiment of the present invention further provides an apparatus for adjusting edge computing resources, where the apparatus for adjusting edge computing resources described below and the method for adjusting edge computing resources described above may be referred to in correspondence.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an apparatus for adjusting edge computing resources according to an embodiment of the present invention. The adjusting apparatus may include:
a memory D1 for storing computer programs;
the processor D2 is configured to, when executing the computer program, implement the steps of the method for adjusting edge computing resources provided by the above method embodiments.
Specifically, referring to fig. 8, fig. 8 is a schematic structural diagram of an adjusting device for edge computing resources according to an embodiment of the present invention, where the adjusting device 310 may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 322 (e.g., one or more processors), a memory 332, and one or more storage media 330 (e.g., one or more mass storage devices) for storing applications 342 or data 344. Memory 332 and storage media 330 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 330 may include one or more modules (not shown), each of which may include a series of instructions operating on a data processing device. Still further, the central processor 322 may be configured to communicate with the storage medium 330 to execute a series of instruction operations in the storage medium 330 on the adjustment device 310.
The adjustment device 310 may also include one or more power sources 326, one or more wired or wireless network interfaces 350, one or more input-output interfaces 358, and/or one or more operating systems 341. Such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The adjusting device 310 may be specifically a service scheduling system device.
The steps in the adjustment method of the edge computing resource described above may be implemented by the structure of the adjustment apparatus of the edge computing resource.
Corresponding to the above method embodiment, an embodiment of the present invention further provides a computer-readable storage medium, and a computer-readable storage medium described below and an edge computing resource adjustment method described above may be referred to in correspondence.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method for adjusting edge computing resources provided by the above-mentioned method embodiments.
The computer-readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the apparatus and the computer-readable storage medium disclosed in the embodiments correspond to the method disclosed in the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
The method, apparatus, device and computer readable storage medium for adjusting edge computing resources provided by the present invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. A method for adjusting edge computing resources, comprising:
detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds;
if the warning edge server is detected, determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the warning edge server and the wifi connection signal quality information; the current target equipment is any wifi terminal equipment;
and changing the wifi connection of the current target equipment from the alarm edge server to the target edge server.
2. The method for adjusting edge computing resources of claim 1, wherein the determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server and the resource occupation estimation condition of the wifi terminal device connected to the alarm edge server and the wifi connection signal quality information comprises:
and determining the current target equipment and the target edge server according to the respective resource occupation condition and resource safety threshold of each edge server, the resource occupation estimated condition of the wifi terminal equipment connected with each edge server and the wifi connection signal quality information.
3. The method for adjusting edge computing resources according to claim 2, wherein the determining a current target device and the target edge server according to the respective resource occupation situation and resource security threshold of each edge server and the resource occupation estimation situation and wifi connection signal quality information of the wifi terminal device connected to each edge server comprises:
according to the resource occupation estimation condition of the wifi terminal equipment connected with the alarm edge server, determining the wifi terminal equipment with the largest resource occupation of the alarm resources as the current equipment to be switched;
calculating system efficiency evaluation values corresponding to all switchable edge servers according to wifi connection signal quality information and resource occupation prediction conditions of current equipment to be switched and respective resource occupation conditions of all the edge servers; wherein the switchable edge server is an edge server outside the alarm edge server which is connectable to the equipment to be switched currently;
detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety threshold of each edge server;
if the selected edge server exists, determining the current equipment to be switched as the current target equipment, and determining the selected edge server with the maximum system efficiency evaluation value as the target edge server;
if the switchable edge server or the selected edge server does not exist, determining the current to-be-switched equipment as non-target equipment, determining wifi terminal equipment with the largest resource occupation except the non-target equipment as the current to-be-switched equipment according to the sequence of the resource occupation of the alarm resources from large to small, and executing the step of calculating the system efficiency evaluation value corresponding to each switchable edge server according to the wifi connection signal quality information and the resource occupation estimation condition of the current to-be-switched equipment and the resource occupation condition of each edge server.
4. The method for adjusting edge computing resources according to claim 3, wherein the calculating, according to the wifi connection signal quality information and the resource occupation estimation condition of the current device to be switched and the resource occupation estimation condition of each edge server, the system efficiency evaluation value corresponding to each switchable edge server comprises:
estimating and calculating a system efficiency evaluation value after the current equipment to be switched is switched to each switchable edge server by (II (0: n) Fs (Sx-y-Gs)) (II (0: m) (Fcpu (RRcpu-Gcpu) Fgpu (RRgpu-Ggpu) Fmem (RRmem-Gmem) Fdisk (RRdisk-Gdisk) Fwifi (RRwifi-Gwifi) F delta disk ((RRdisk-Gdisk)/delta RRdisk-Gtime))); wherein n is the number of wifi terminal devices connected to the edge server, Fs is a signal quality weight, Sx-y is the signal quality of wifi terminal device x and edge server y, Gs is a signal quality threshold, m is the number of the edge server, Fcpu, Fgpu, Fmem, Fdisk, Fnet, Fwifi and F Δ disk are respectively a CPU computing resource weight, an AI computing resource weight, a memory capacity resource weight, a hard disk storage resource weight, a network transmission resource weight, a network access resource weight and a hard disk storage consumption rate weight, RRcpu, RRgpu, RRmem, RRdisk, rrnetwifi and rrΔ disk are respectively a residual CPU computing resource, a residual AI computing resource, a residual memory capacity resource, a residual hard disk threshold storage resource, a residual network transmission resource, a residual network access resource and a residual hard disk storage consumption rate, Gcpu, Ggup, Gmem, Gdisk, gnisk, gnfi and gmet are respectively a CPU security computing resource, The AI computing resource residual safety threshold, the memory capacity resource residual safety threshold, the hard disk storage resource residual safety threshold, the network transmission resource residual safety threshold, the network access resource residual safety threshold and the hard disk storage consumption rate residual safety threshold.
5. The method for adjusting edge computing resources according to claim 3, wherein the determining that the current device to be switched is a non-target device, and the determining that the wifi terminal device with the largest resource occupation except the non-target device is the current device to be switched according to the descending order of the resource occupation of the alarm resource comprises:
determining the current equipment to be switched as the non-target equipment;
judging whether the wifi terminal devices connected with the alarm edge server are the non-target devices or not;
if the non-target devices are not uniform, determining the wifi terminal device with the largest resource occupation except the non-target devices as the current device to be switched, and executing the step of detecting whether a selected edge server meeting the requirement of a safety threshold exists in the switchable edge servers according to the respective resource safety thresholds of the edge servers;
and if the devices are the non-target devices, reporting serious alarm information.
6. The method for adjusting edge computing resources of claim 1, wherein the changing the wifi connection of the current target device from the alarm edge server to the target edge server comprises:
controlling the alarm edge server to exit the service of the current target equipment;
controlling the current target equipment to change the wifi connection from the alarm edge server to the target edge server through the alarm edge server;
and controlling the target edge server to start the service of the current target equipment.
7. The method for adjusting edge computing resources of claim 1, wherein after the changing the wifi connection of the current target device from the alarm edge server to the target edge server, further comprising:
judging whether the occupation condition of the alarm resources of the alarm edge server is not greater than a corresponding resource safety threshold or not;
and if not, executing the step of determining the current target equipment in the wifi terminal equipment and the target edge server corresponding to the current target equipment according to the respective resource occupation condition of each edge server, the resource occupation estimated condition of the wifi terminal equipment connected with the alarm edge server and the quality information of the wifi connection signal.
8. An apparatus for adjusting edge computing resources, comprising:
the alarm detection module is used for detecting alarm edge servers in each edge server; the alarm edge server is an edge server with alarm resources, and the alarm resources are resources with occupation conditions larger than corresponding resource safety thresholds;
the adjustment determining module is used for determining a current target device in the wifi terminal device and a target edge server corresponding to the current target device according to the respective resource occupation condition of each edge server, the resource occupation estimation condition of the wifi terminal device connected with the alarm edge server and the wifi connection signal quality information if the alarm edge server is detected; the current target equipment is any wifi terminal equipment;
and the adjusting module is used for changing the wifi connection of the current target equipment from the alarm edge server to the target edge server.
9. An apparatus for adjusting edge computing resources, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of adjusting edge computing resources of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method for adjusting edge computing resources of any one of claims 1 to 7.
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