CN114416360A

CN114416360A - Resource allocation method and device and Internet of things system

Info

Publication number: CN114416360A
Application number: CN202210017822.5A
Authority: CN
Inventors: 许辽萨; 王维强; 赵闻飙; 叶芸
Original assignee: Advanced New Technologies Co Ltd
Current assignee: Advanced New Technologies Co Ltd
Priority date: 2018-06-07
Filing date: 2018-06-07
Publication date: 2022-04-29
Also published as: CN109002357A; CN109002357B

Abstract

The embodiment of the specification provides a resource allocation method, a resource allocation device and an Internet of things system, and the method comprises the following steps: determining the quantity of data processing resources requested by edge computing service providing equipment according to a utility function value of the target service processed by the Internet of things; then, according to the determined quantity of the data processing resources, sending a resource request to the edge computing service providing equipment, so that the edge computing service providing equipment allocates corresponding data processing resources to the Internet of things equipment according to the received resource request; the data processing resource is used for processing the data related to the target service.

Description

Resource allocation method and device and Internet of things system

The patent application of the invention is a divisional application of Chinese patent application with the application date of 2018, 6 and 7, and the application number of 201810580592.7, namely a resource allocation method, a resource allocation device and an Internet of things system.

Technical Field

The application relates to the field of internet of things, in particular to a resource allocation method and device and an internet of things system.

Background

With the continuous development of the internet of things technology, more and more devices are connected to the internet of things, and the internet of things technology is widely applied, so that more and more data are generated on the devices of the internet of things. Because the computing power of the internet of things equipment is limited and the network bandwidth is limited, edge computing becomes one of new trends in the development of the internet of things in order to meet the requirement of real-time response. In addition, in order to realize the synchronization of data on each internet of things device in the internet of things system, the blockchain technology can be applied to the internet of things system. Therefore, the combination of blockchain technology and edge computing can effectively meet the challenges of the internet of things era.

The limited computing power and low energy consumption of the internet of things devices pose the biggest obstacle to the block chain technology to the internet of things system. In order to solve the technical problem, an edge computing service provider is allowed to deploy cloud computing service at an edge end of the internet, so that the data processing problem of the internet of things equipment is solved.

However, when the internet of things equipment processes services, how an edge computing service provider reasonably distributes data processing resources among the internet of things equipment becomes a problem which needs to be solved at present.

Disclosure of Invention

The embodiment of the specification aims to provide a resource allocation method, a resource allocation device and a physical network system, wherein the quantity of data processing resources requested by edge computing service providing equipment is determined according to a utility function value of target service processing of the equipment of the Internet of things; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing device, the utility function value of the edge computing service providing device is taken into account, so that the amount of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing device is realized.

In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:

an embodiment of the present specification provides a resource allocation method, including:

determining the quantity of data processing resources requested by edge computing service providing equipment according to a utility function value of the target service processed by the Internet of things equipment; the data processing resource is used for processing the data related to the target service;

sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources, so that the edge computing service providing equipment allocates corresponding data processing resources to the Internet of things equipment according to the resource request;

the utility function value is respectively in positive correlation with fixed income, variable income of the Internet of things equipment and the probability of successful processing of the target service by the Internet of things equipment, and is respectively in negative correlation with pricing of a single data processing resource and the quantity of the data processing resource requested by the edge computing service providing equipment.

An embodiment of the present specification further provides a resource allocation method, including:

determining pricing of a single data processing resource corresponding to each Internet of things device according to the utility function value of the device;

sending the pricing of the single data processing resource to corresponding Internet of things equipment, so that the Internet of things equipment determines the quantity of the requested data processing resource according to the pricing of the single data processing resource and a utility function value of a processing target service of the Internet of things equipment, and sends a resource request according to the determined quantity of the data processing resource;

after receiving a resource request sent by the Internet of things equipment, distributing corresponding data processing resources to the Internet of things equipment according to the resource request;

An embodiment of the present specification further provides a resource allocation apparatus, including:

the first determining module is used for determining the quantity of data processing resources requested by the edge computing service providing equipment according to the utility function value of the target service processed by the Internet of things equipment; the data processing resource is used for processing the data related to the target service;

the first sending module is used for sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources so that the edge computing service providing equipment can distribute corresponding data processing resources to the Internet of things equipment according to the resource request;

the second determining module is used for determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function value of the second determining module;

the second sending module is used for sending the pricing of the single data processing resource to corresponding Internet of things equipment so that the Internet of things equipment can determine the quantity of the requested data processing resource according to the pricing of the single data processing resource and the utility function value of the processing target service of the equipment, and sends a resource request according to the determined quantity of the data processing resource;

the allocation module allocates corresponding data processing resources to the Internet of things equipment according to the resource request after receiving the resource request sent by the Internet of things equipment;

An embodiment of the present specification further provides an internet of things system, including: the system comprises an edge computing service providing device and at least one Internet of things device; a resource distribution device is installed on the Internet of things equipment;

the resource allocation device is used for determining the quantity of data processing resources requested by the edge computing service providing equipment according to the utility function value of the target service processed by the Internet of things equipment; and sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources; the data processing resource is used for processing the data related to the target service;

the edge computing service providing equipment is used for receiving the resource request and distributing corresponding data processing resources to the Internet of things equipment according to the resource request;

a processor; and

a memory arranged to store computer executable instructions that, when executed, cause the processor to:

a processor; and

Embodiments of the present specification also provide a storage medium for storing computer-executable instructions, which when executed implement the following processes:

According to the technical scheme in the embodiment, the quantity of data processing resources requested by the edge computing service providing equipment is determined according to the utility function value of the target service processed by the Internet of things equipment; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing equipment is realized.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

FIG. 1 is a schematic view of a scenario of an Internet of things system that combines blockchain techniques with edge computing;

fig. 2 is a flowchart of a first method of a resource allocation method provided in an embodiment of the present disclosure;

fig. 3 is a flowchart of a second method of a resource allocation method provided in an embodiment of the present disclosure;

fig. 4 is a flowchart of a third method of a resource allocation method provided in an embodiment of the present disclosure;

fig. 5 is a flowchart of a fourth method of a resource allocation method provided in an embodiment of the present disclosure;

fig. 6 is a schematic diagram illustrating a first module composition of a resource allocation apparatus according to an embodiment of the present disclosure;

fig. 7 is a schematic diagram illustrating a second module composition of a resource allocation apparatus according to an embodiment of the present disclosure;

fig. 8 is a first structural diagram of an internet of things system provided by an embodiment of the present specification;

fig. 9 is a second structural diagram of an internet of things system provided by an embodiment of the present specification;

fig. 10 is a schematic diagram illustrating information transmission between an edge computing service providing device and an internet of things device in an embodiment of the present specification;

fig. 11 is a schematic structural diagram of a resource allocation apparatus according to an embodiment of the present specification.

Detailed Description

In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.

The idea of the embodiment of the present specification is that, when an internet of things device in an internet of things system processes a target service, because the data processing capability of the internet of things device is limited, data processing needs to be performed by an edge computing service providing device arranged in the internet of things system. In order to realize reasonable distribution of data processing resources of the edge computing service providing equipment, when the internet of things equipment requests the data processing resources from the edge computing service providing equipment, the number of the requested data processing resources is determined according to benefits obtained by processing target services per se, namely, a utility function value corresponding to the internet of things equipment is taken into account, so that the number of the requested data processing resources from the edge computing service providing equipment is reasonable, and the utility of the internet of things equipment is optimal. Based on the idea, reasonable distribution of data processing resources of the edge computing service providing equipment can be realized. Based on this, the embodiments of the present specification provide a resource allocation method, which is applied to each internet of things device in an internet of things system.

The internet of things device refers to a device accessed into an internet of things system, and may be any device such as a mobile terminal, a sound box, a television and the like.

Fig. 1 is a schematic view of a scenario of an internet of things system, where in the scenario shown in fig. 1, a plurality of local internet of things systems are included, and both edge computing services and blockchain techniques are applied to the entire internet of things system shown in fig. 1. As shown in fig. 1, the edge computing service providing device is disposed on each local internet of things side in the internet of things system. In addition, in order to implement synchronization of data or information in the entire internet of things system, a blockchain application program is installed on each device in the internet of things system shown in fig. 1, that is, each device in the internet of things system is a blockchain node. For example, a blockchain application is installed on each internet of things device, the edge computing service providing device, and the cloud server.

The resource allocation method provided by the embodiment of the present specification can be applied to an internet of things system as shown in fig. 1, where each internet of things device requests a data processing resource from an edge computing service providing device.

Fig. 2 is a flowchart of a first method of a resource allocation method according to an embodiment of the present disclosure, where the method shown in fig. 2 includes at least the following steps:

step 202, determining the quantity of data processing resources requested by edge computing service providing equipment according to a utility function value of the target service processed by the Internet of things equipment; the data processing resources are used for processing data related to the target service.

An execution subject of the method provided by the embodiment of the description is a resource allocation device, and the resource allocation device can be installed in each piece of internet of things equipment in an internet of things system, so that the method provided by the embodiment of the description can be applied to the internet of things equipment.

The target service refers to any service which needs to be processed by the internet of things device, and may be, for example, a payment service, an unlocking service, and the like; the specific service may be determined according to a specific application scenario, and the embodiment of this specification does not limit the specific service type of the target service.

It should be noted that, in step 202, the internet of things device itself refers to the internet of things device corresponding to the resource allocation apparatus. For ease of understanding, the following description will be given by way of example.

For example, the internet of things equipment accessing the same internet of things system comprises three equipment, namely internet of things equipment 1, internet of things equipment 2 and internet of things equipment 3, and each piece of internet of things equipment is provided with the resource distribution device. If the resource allocation device on the internet of things device 1 requests the data processing resource from the edge computing service providing device, the internet of things device in the step 202 is the internet of things device 1; if the resource allocation device on the internet of things device 2 requests the data processing resource from the edge computing service providing device, the internet of things device in step 202 is the internet of things device 2.

In the embodiment of the present specification, the utility function value actually refers to a benefit obtained by the internet of things device for processing the target service. In the embodiment of the specification, when determining the amount of the data processing resources requested by the edge computing service providing device, the benefit obtained by the edge computing service providing device in processing the target service is taken into consideration, so that the amount of the data processing resources requested by the edge computing service providing device can be reasonable, and the benefit obtained by the internet of things device can be maximum.

In specific implementation, in the step 202, the amount of the data processing resource requested by the edge computing service providing device is determined according to the utility function value of the target service processed by the internet of things device, and the method specifically includes the following steps (1) and (2):

calculating utility function values corresponding to different quantities of data processing resources according to pricing of single data processing resources and utility functions of target services processed by the Internet of things equipment;

and (2) determining the quantity corresponding to the calculated maximum utility function value as the quantity of the data processing resources requested by the edge computing service providing equipment.

It should be noted that, in step (1), the pricing of the individual data processing resources is determined by the edge computing service provider. Specifically, the edge computing service providing device may determine the number of a single data processing resource before executing the method provided by the embodiment of the present specification, or may determine the number of a single data processing resource when the internet of things device requests the edge computing service providing device for the first time, and then directly use the pricing of the corresponding single data processing resource when the internet of things device requests the edge computing service providing device for the data processing resource each time; or, in order to further ensure the rationality of the single data processing resource and further optimize the benefits of the edge computing service providing device and the internet of things device, the pricing of the single data processing resource can be determined once every time the internet of things device requests the data processing resource from the edge computing service providing device.

In addition, when the edge computing service providing device determines the number of the single data processing resources, the determined single data processing resources may be different for different internet of things devices in the internet of things system. Specifically, the amount of data processing resources that the internet of things device may request needs to be referred to when determining.

The specific process of the edge computing service providing device determining pricing of the single data processing resource corresponding to each internet of things device will be described in detail below.

Specifically, the edge computing service providing device generally determines, according to its own utility function value, a single data processing resource pricing corresponding to each internet of things device, and therefore, it is necessary to determine the single data processing resource pricing corresponding to each internet of things device by using the utility function corresponding to the edge computing service providing device. The utility function corresponding to the edge computing service providing device is as follows:

in the formula, S represents a utility function value of the edge computing service providing equipment, i represents the ith Internet of things equipment, n represents the number of the Internet of things equipment accessing the Internet of things system, and x represents the number of the Internet of things equipment accessing the Internet of things system_iRepresenting the amount of data processing resources, p, requested by the ith IOT device_iAnd the pricing of the single data processing resource corresponding to the ith internet of things device is represented.

It should be noted that, in the embodiments of the present specification, the mentioned benefit refers to the value of the utility function.

As can be seen from the utility functions, when calculating the benefits of the edge computing service providing device, the amount of the data processing resource requested by each internet of things device needs to be considered, and the amount of the data processing resource requested by each internet of things device has a relationship with the utility function value thereof, so that when determining the pricing of a single data processing resource corresponding to each internet of things device, the edge computing service providing device needs to combine the utility function value of the edge computing service providing device and the utility function value of each internet of things device.

Specifically, in a specific embodiment, when determining the pricing of each data processing resource, the edge computing service providing device may determine the pricing of a single data processing resource by using only the following simple utility function together with the utility function corresponding to the edge computing service providing device, without considering the probability of success of processing the target service in the utility function of the physical network device;

u_i＝(R+rt_i)-p_i*x_i

wherein, in the above formula, u_iExpressed is a utility function value of the ith Internet of things equipment, R represents the fixed income of the processing target service, R represents a coefficient, t_iSize, p, of a block representing the ith IOT device_iRepresenting pricing, x, of individual data processing resources_iRepresenting the amount of data processing resources requested from the edge computing service providing device.

In this embodiment of the present specification, by combining the utility function of the internet of things device with the utility function of the edge computing service providing device, an attempt may be made to input pricing of different individual data processing resources and the number of requested data processing resources to calculate a utility function value of the edge computing service providing device and a utility function value of the internet of things device, and a pricing of a single data processing resource that optimizes both the utility function value of the edge computing service providing device and the utility function value of the internet of things device is determined as a pricing of a single data processing resource corresponding to the internet of things device.

Alternatively, in another embodiment, the edge computing service providing device may evaluate a range of benefits that the internet of things device can accept, and then select an appropriate pricing for the individual data processing resources and the amount of the requested data processing resources within the range to maximize the utility function value of the edge computing service providing device.

In another specific embodiment, when determining the pricing of each data processing resource, the edge computing service providing device may consider the probability of success of processing the target service in the utility function of the used internet of things device, that is, the utility function of the used internet of things device is as follows:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

wherein, in the above formula, u_i(x_i,X_-i,p_i) Expressing the utility function value of the ith Internet of things equipment for processing the target service, R expressing the fixed income, and rt_iRepresenting the variable gain of the ith Internet of things equipment, r representing a coefficient, t_iSize, P, of a block representing the ith IOT device_i(α_i(x_i,X_-i)，t_i) Representing the probability, p, of the ith IOT device to successfully process the target service_iRepresents pricing, x, of a single data processing resource corresponding to the ith IOT device_iRepresenting the amount of data processing resources requested from an edge computing service providing device，X_-iRepresenting the total amount of data processing resources, alpha, required by other internet of things devices in the internet of things system_i(x_i,X_-i) Representing the relative computing power of the ith internet of things device.

In addition, X is_-iThe total amount of data processing resources required by other internet of things devices except the ith internet of things device in the internet of things system is represented.

Specifically, in the examples of the present specification, P_i(α_i(x_i,X_-i)，t_i) It can be calculated by the following formula:

wherein in the formula, λ and z represent coefficients, n represents the number of the devices in the internet of things system,

is alpha_i(x_i,X_-i) The calculation formula of (a), is the ratio of the quantity of the data processing resources requested by the ith internet of things device to the total quantity of the data processing resources requested by all the internet of things devices in the internet of things system. In addition, in the examples of the present specification, α is_i(x_i,X_-i)>0 and

when the utility function is used, the determination process of a single data processing resource is the same as the above case, and is not described herein again.

Specifically, in this embodiment of the present specification, in the step (1), calculating utility function values corresponding to different quantities of data processing resources according to pricing of a single data processing resource and a utility function value of a target service processed by the internet of things device itself includes:

according to pricing of a single data processing resource, utility function values corresponding to different quantities of data processing resources are calculated through the following utility functions;

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

wherein, in the above formula, u_i(x_i,X_-i,p_i) Expressing the utility function value of the ith Internet of things equipment for processing the target service, R expressing the fixed income, and rt_iRepresenting the variable gain of the ith Internet of things equipment, r representing a coefficient, r_iSize, P, of a block representing the ith IOT device_i(α_i(x_i,X_-i)，t_i) The probability of successful processing of the target service by the ith Internet of things device is represented, lambda and z represent coefficients, n represents the number of the Internet of things devices in the Internet of things system, and p represents the number of the Internet of things devices in the Internet of things system_iRepresents pricing, x, of a single data processing resource corresponding to the ith IOT device_iRepresenting the amount of data processing resources, X, requested from an edge computing service providing device_-iRepresenting the total amount of data processing resources, alpha, required by other internet of things devices in the internet of things system_i(x_i,X_-i) Representing the relative computing power of the ith internet of things device.

In specific implementation, the quantity of different data processing resources can be input into the utility function of the internet of things device, and utility function values corresponding to the quantity of different data processing resources are calculated.

And then determining the quantity of the corresponding data processing resources when the utility function value is maximum as the quantity of the data processing resources requested by the edge computing service providing equipment.

And 204, sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources, so that the edge computing service providing equipment allocates corresponding data processing resources to the internet of things equipment according to the resource request.

In specific implementation, the resource request sent to the edge computing service providing device may carry the amount of the requested data processing resources, the raw data required for data processing, what kind of computation needs to be performed by the edge computing service providing device, and the like.

In a specific embodiment, a plurality of resource request collecting units may be arranged in the internet of things system, that is, the resource request collecting units may be edge computing servers, and the edge computing servers forward the resource requests of the internet of things devices to the edge computing service providing devices. Therefore, in this embodiment of this specification, in the step 204, the sending the resource request to the edge computing service providing device specifically includes:

and sending the resource request to an edge computing server corresponding to the Internet of things equipment so that the edge computing server sends the resource request to the edge computing service providing equipment.

Specifically, each edge computing server is connected with at least one piece of internet of things equipment, and a user of the edge computing server receives a resource request sent by the internet of things equipment connected with the edge computing server and forwards the resource request to the edge computing service providing equipment.

In this embodiment of the present description, after the edge computing service providing device receives the resource request, it allocates corresponding data processing resources to the internet of things device according to the resource request for data processing, and then sends a data processing result to the internet of things device.

In specific implementation, when the edge computing service providing device sends the processing result to the internet of things device, the edge computing service providing device may first send the processing result to the edge computing server, and then the edge computing server sends the processing result to the internet of things device.

Therefore, after the step 204 is executed, the method provided in the embodiment of the present specification further includes:

and receiving a data processing result returned by the edge computing service providing equipment so that the Internet of things equipment processes the target service according to the data processing result.

It should be noted that, after the internet of things device receives the data processing result returned by the edge computing service providing device, the edge computing service providing device needs to pay a corresponding amount, where the paid amount is a product of pricing of a single data processing resource corresponding to the internet of things device and the amount of the data processing resource requested by the internet of things device. Specifically, the internet of things device may pay the corresponding amount of money to the edge computing server connected to the internet of things device, and then pay the amount of money to the edge computing service providing device by the edge computing server.

In addition, in order to facilitate management of data of the internet of things system after the internet of things device successfully processes the target service, in an embodiment of the present specification, after the internet of things device processes the target service according to a data processing result, the method further includes:

synchronizing the target service related information in each block chain node of the Internet of things system; the blockchain nodes are the Internet of things equipment and the edge computing server for running blockchain application programs.

In the embodiment of the description, as the blockchain application program is installed on each internet of things device and each edge computing server in the internet of things system, each internet of things device and each edge computing server in the whole internet of things system can be regarded as a blockchain node, so that the synchronization of the data or information of the whole system is realized.

According to the resource allocation method provided by the embodiment of the specification, the quantity of data processing resources requested by the edge computing service providing equipment is determined according to the utility function value of the target service processed by the equipment of the internet of things; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing equipment is realized.

Based on the resource allocation method provided in the foregoing embodiment, an embodiment of the present specification further provides a resource allocation method, where the method is applied to an edge computing service providing device, fig. 3 shows a flowchart of a second method of the resource allocation method provided in the embodiment of the present specification, and the method shown in fig. 3 at least includes the following steps:

step 302, determining pricing of a single data processing resource corresponding to each internet of things device according to the utility function value of the internet of things device.

An execution subject of the resource allocation method provided by the embodiments of the present specification is a resource allocation apparatus, which may be installed in an edge computing service providing device.

In this embodiment of the present specification, when the edge computing service providing device determines, according to its utility function value, pricing of a single data processing resource corresponding to each internet of things device, the determined pricing of the single data processing resource generally maximizes the benefit of the edge computing service providing device.

Therefore, in the step 302, determining the pricing of the single data processing resource corresponding to each internet of things device according to the utility function value thereof specifically includes the following processes:

and determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function of the equipment and the utility function corresponding to each piece of Internet of things equipment so as to maximize the utility function value of the equipment.

Specifically, the specific process for determining pricing of the data processing resource corresponding to each internet of things device is the same as the specific implementation process in the embodiment corresponding to fig. 1 to 2, and reference may be made to the specific implementation process in the embodiment corresponding to fig. 1 to 2, which is not described herein again.

Step 304, sending the pricing of the single data processing resource to the corresponding internet of things equipment, so that the internet of things equipment determines the quantity of the requested data processing resource according to the pricing of the single data processing resource and the utility function value of the processing target service of the internet of things equipment, and sends a resource request according to the determined quantity of the data processing resource.

In this embodiment of the present description, after determining the pricing of the single data processing resource corresponding to each internet of things device, the pricing of the single data processing resource is sent to the corresponding internet of things device. After the internet of things equipment receives pricing of a single data processing resource sent by the edge computing service providing equipment, the quantity of the data processing resource enabling the utility function value of the data processing resource to be maximum is determined according to the pricing of the single data processing resource and the utility function of the data processing resource, and data of the data processing resource when the utility function value is maximum are determined to be the quantity of the data processing resource requested by the edge computing service providing equipment.

Specifically, the specific process of determining the number of the requested data processing resources by each internet of things device according to the pricing of the corresponding single data processing resource and the utility function of the device is the same as that in the embodiment corresponding to fig. 1 to 2, and reference may be made to the embodiment corresponding to fig. 1 to 2, which is not described herein again.

And after the Internet of things equipment determines the quantity of the requested data processing resources, sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources.

Step 306, after receiving the resource request sent by the internet of things device, allocating corresponding data processing resources to the internet of things device according to the resource request.

After receiving a resource request sent by the Internet of things equipment, the edge computing service providing equipment allocates corresponding data processing resources to the Internet of things equipment according to the resource request; and then, performing data processing by using the data processing resources distributed to the physical network equipment, and sending the data processing result to the Internet of things equipment.

In specific implementation, when the edge computing service providing device sends the data processing result to the internet of things device, the edge computing service providing device can now send the data processing result to the edge computing server, and then the edge computing server forwards the data processing result to the internet of things device.

After the internet of things device receives the data processing result returned by the edge computing service providing device, the edge computing service providing device needs to be paid for corresponding amount, wherein the paid amount is the product of pricing of a single data processing resource corresponding to the internet of things device and the amount of the data processing resource requested by the internet of things device. Specifically, the internet of things device may pay the corresponding amount of money to the edge computing server connected to the internet of things device, and then pay the amount of money to the edge computing service providing device by the edge computing server.

In addition, after the internet of things device receives a data processing result returned by the edge computing service providing device and processes the target service, the target service related information also needs to be synchronized in each block chain node of the internet of things system; the blockchain nodes are the Internet of things equipment and the edge computing server for running blockchain application programs.

In order to facilitate understanding of the resource allocation method provided by the embodiments of the present specification, the method provided by the embodiments of the present specification will be described in detail by specific embodiments below.

For example, in a specific implementation manner, the internet of things device may be three speakers accessing the internet of things system, and when the three speakers seize the same service or process a certain service, the method provided in the embodiments of the present specification may be used to allocate resources. The following will describe the resource allocation method provided in the embodiments of the present specification in detail with the loudspeaker 1 as an execution subject. Fig. 4 is a flowchart illustrating a third method of the resource allocation method according to the embodiment of the present disclosure, in the case illustrated in fig. 4, before the method provided by the embodiment of the present disclosure is adopted, the edge computing service providing device determines pricing of a single data processing resource corresponding to each loudspeaker, and then each loudspeaker performs pricing using the determined single data processing resource. The method shown in fig. 4, at least comprises the following steps:

step 402, the sound box 1 calculates utility function values corresponding to different amounts of data processing resources when requesting the data processing resources according to pricing of the corresponding single data processing resource and utility functions of the single data processing resource for processing target services.

Therein, in step 402, loudspeaker 1 may obtain pricing of how many its corresponding individual data processing resources are from the edge computing service providing device.

In step 404, the sound box 1 determines the number corresponding to the calculated maximum utility function value as the number of data processing resources requested by the edge computing service providing device.

Step 406, the sound box 1 sends a resource request to the edge computing server according to the determined amount of the data processing resources.

In step 408, the edge computing server forwards the received resource request to the edge computing service providing device.

And step 410, the edge computing service providing equipment allocates corresponding data processing resources to the internet of things equipment according to the resource request.

In step 412, the edge computing service providing device performs data processing using the allocated data processing resources, and sends the data processing result to the sound box 1.

Step 414, after receiving the data processing result, the sound box 1 processes the target service according to the data processing result, and pays a reward to the edge computing service providing device.

Step 416, the sound box 1 synchronizes the information related to the target service in the block chain nodes in the whole internet of things system.

The block chain node is a sound box or an edge computing server provided with a block chain application program.

The specific implementation process of each step in the embodiment shown in fig. 4 is the same as that in the embodiment corresponding to fig. 1 to 3, and specific reference may be made to the embodiment corresponding to fig. 1 to 3, which is not described herein again.

In another embodiment, to ensure the accuracy of the pricing of the individual data processing resources determined by the edge computing service providing device, the edge computing service providing device may determine the pricing of the individual data processing resources at a time each time a request is made for data processing resources from the edge computing service requesting device. The method provided by the embodiment of the present specification will be described below by taking the example where the sound box 1 requests the data processing resource from the edge computing service providing apparatus. Fig. 5 is a flowchart of a fourth method of a resource allocation method according to an embodiment of the present disclosure, where the method shown in fig. 5 includes at least the following steps:

step 502, the edge computing service provider determines pricing of single data processing resources of each sound box in the internet of things system according to the utility function value of the edge computing service provider.

In step 504, the edge computing service provider sends pricing for the individual data processing resources to the corresponding enclosures.

Step 506, the sound box 1 calculates utility function values corresponding to different amounts of data processing resources when requesting different amounts of data processing resources according to the pricing of the corresponding single data processing resource and the utility function of the sound box for processing the target service.

In step 508, the sound box 1 determines the number corresponding to the calculated maximum utility function value as the number of data processing resources requested by the edge computing service providing device.

Step 510, the sound box 1 sends a resource request to the edge computing server according to the determined amount of the data processing resources.

In step 512, the edge computing server forwards the received resource request to the edge computing service providing device.

And 514, the edge computing service providing equipment allocates corresponding data processing resources to the internet of things equipment according to the resource request.

In step 516, the edge computing service providing device performs data processing using the allocated data processing resources, and sends the data processing result to the sound box 1.

Step 518, after receiving the data processing result, the sound box 1 processes the target service according to the data processing result, and pays a reward to the edge computing service providing device.

Step 520, the sound box 1 synchronizes the target service related information in the block chain node in the whole internet of things system.

The specific implementation process of each step in the embodiment shown in fig. 5 is the same as that in the embodiment corresponding to fig. 1 to 3, and specific reference may be made to the embodiment corresponding to fig. 1 to 3, which is not described herein again.

In the resource allocation method provided in the embodiment of the present description, when determining pricing of a single data processing resource, the utility function value of the edge computing service providing device itself is taken into account, so that the determined pricing of the single data processing resource corresponding to each internet of things device is reasonable, and thus, the internet of things device determines the amount of the requested data processing resource according to the pricing of the corresponding single data processing resource and the utility function value of the processing target service itself, so that the amount of the requested data processing resource is reasonable, and reasonable allocation of the data processing resource of the edge computing service providing device is achieved.

Corresponding to the resource allocation method provided in the embodiments corresponding to fig. 1-2, based on the same idea, an embodiment of the present specification further provides a resource allocation apparatus for executing the resource allocation method provided in the embodiment of the present specification, fig. 6 is a schematic diagram of a first module composition of the resource allocation apparatus provided in the embodiment of the present specification, and the apparatus shown in fig. 6 includes:

the first determining module 601 is configured to determine, according to a utility function value of a target service processed by the internet of things device itself, the amount of data processing resources requested by the edge computing service providing device; the data processing resources are used for processing data related to target services;

a first sending module 602, configured to send a resource request to the edge computing service providing device according to the determined amount of the data processing resources, so that the edge computing service providing device allocates corresponding data processing resources to the internet of things device according to the resource request.

Optionally, the first determining module 601 includes:

the computing unit is used for computing utility function values corresponding to different quantities of data processing resources according to pricing of single data processing resources and utility functions of target services processed by the Internet of things equipment;

and the first determining unit is used for determining the quantity corresponding to the calculated maximum utility function value as the quantity of the data processing resources requested by the edge computing service providing equipment.

Optionally, the calculating unit is specifically configured to:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

wherein, in the above formula, u_i(x_i,X_-i,p_i) Expressing the utility function value of the ith Internet of things equipment for processing the target service, R expressing the fixed income, and rt_iRepresenting the variable gain of the ith Internet of things equipment, r representing a coefficient, r_iSize, P, of a block representing each IoT device_i(α_i(x_i,X_-i)，t_i) The probability of successful processing of the target service by the ith Internet of things device is represented, lambda and z represent coefficients, n represents the number of the Internet of things devices in the Internet of things system, and p represents the number of the Internet of things devices in the Internet of things system_iRepresents pricing, x, of a single data processing resource corresponding to the ith IOT device_iRepresenting the amount of data processing resources, X, requested from an edge computing service providing device_-iRepresenting the total amount of data processing resources, alpha, required by other internet of things devices in the internet of things system_i(x_i,X_-i) Representing the relative computing power of the ith internet of things device.

Optionally, the apparatus provided in this specification may further include:

and the receiving module is used for receiving the data processing result returned by the edge computing service providing equipment so that the Internet of things equipment processes the target service according to the data processing result.

Optionally, the apparatus provided in this specification may further include:

the synchronization module is used for synchronizing the related information of the target service in each block chain node of the Internet of things system; the blockchain nodes are the Internet of things equipment and the edge computing server for running blockchain application programs.

Optionally, the first sending module 602 includes:

and the sending unit is used for sending the resource request to the edge computing server corresponding to the Internet of things equipment so that the edge computing server sends the resource request to the edge computing service providing equipment.

The specific implementation process of the steps executed by each module and unit in the resource allocation apparatus provided in this description embodiment is the same as the specific implementation process of each step in the method embodiment corresponding to fig. 1 to fig. 2, and reference may be made to the specific implementation process of each step in the method embodiment corresponding to fig. 1 to fig. 5, which is not described herein again.

The resource allocation device provided in the embodiment of the present specification determines, according to a utility function value of a target service processed by an internet of things device itself, the amount of data processing resources requested by an edge computing service providing device; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing equipment is realized.

Corresponding to the resource allocation method provided by the embodiment corresponding to fig. 3, based on the same idea, an embodiment of the present specification further provides a resource allocation apparatus for executing the resource allocation method provided by the embodiment of the present specification, fig. 7 is a schematic diagram of a first module composition of the resource allocation apparatus provided by the embodiment of the present specification, and the apparatus shown in fig. 7 includes:

a second determining module 701, configured to determine, according to the utility function value of the second determining module, pricing of a single data processing resource corresponding to each internet of things device;

a second sending module 702, configured to send the pricing of a single data processing resource to corresponding internet of things equipment, so that the internet of things equipment determines the number of requested data processing resources according to the pricing of the single data processing resource and a utility function value of a processing target service of the internet of things equipment, and sends a resource request according to the determined number of the data processing resources;

the allocating module 703 is configured to, after receiving a resource request sent by an internet of things device, allocate a corresponding data processing resource to the internet of things device according to the resource request.

Optionally, the second determining module 701 includes:

and the second determining unit is used for determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function of the second determining unit and the utility function of the Internet of things equipment for processing the target service, so that the utility function value of the second determining unit is maximum.

The specific implementation process of the steps executed by each module and unit in the resource allocation apparatus provided in this specification embodiment is the same as the specific implementation process of each step in the method embodiment corresponding to fig. 3, and reference may be made to the specific implementation process of each step in the method embodiment corresponding to fig. 3, which is not described herein again.

The resource allocation apparatus provided in this specification, when determining pricing of a single data processing resource, takes into account a utility function value of the edge computing service providing device itself, so that the determined pricing of the single data processing resource corresponding to each internet of things device is reasonable, and thus, the internet of things device determines the amount of the requested data processing resource according to the pricing of the corresponding single data processing resource and the utility function value of the processing target service itself, so that the amount of the requested data processing resource is reasonable, thereby achieving reasonable allocation of the data processing resource of the edge computing service providing device.

Corresponding to the resource allocation methods shown in fig. 1 to fig. 5, based on the same idea, an embodiment of the present specification further provides an internet of things system, fig. 8 is a first structural schematic diagram of the internet of things system provided by the embodiment of the present specification, and the system shown in fig. 8 includes: an edge computing service providing device 801, and at least one internet of things device 802; the internet of things device 802 is provided with a resource allocation apparatus 803 provided in the embodiment corresponding to fig. 6;

the resource allocation device 803 is configured to determine, according to a utility function value of the internet of things device 802 for processing the target service, the amount of the data processing resource requested by the edge computing service device; sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources; the data processing resources are used for processing data related to target services;

the edge computing service providing device 801 is configured to receive the resource request, and allocate corresponding data processing resources to the internet of things device 802 according to the resource request.

Optionally, the system of internet of things provided by the embodiments of the present specification further includes at least one edge computing server;

the edge computing server is connected with the internet of things device 802 and the edge computing service providing device 801;

the edge computing server is configured to collect a resource request sent by the internet of things device, and forward the resource request to the edge computing service providing device 801.

Optionally, the edge computing service providing apparatus 801 is further configured to:

determining pricing of a single data processing resource corresponding to each Internet of things device according to the utility function value of the device; and sending the pricing of the single data processing resource to the corresponding Internet of things equipment.

Optionally, in an embodiment of this specification, the edge computing service providing device is further specifically configured to:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

wherein, in the above formula, u_i(x_i,X_-i,p_i) Denotes the ithThe utility function value of the target service processed by the equipment of the Internet of things, R represents the fixed income, rt_iRepresenting the variable gain of the ith Internet of things equipment, r representing a coefficient, r_iSize, P, of a block representing each IoT device_i(α_i(x_i,X_-i)，t_i) The probability of successful processing of the target service by the ith Internet of things device is represented, lambda and z represent coefficients, n represents the number of the Internet of things devices in the Internet of things system, and p represents the number of the Internet of things devices in the Internet of things system_iRepresents pricing, x, of a single data processing resource corresponding to the ith IOT device_iRepresenting the amount of data processing resources, X, requested from an edge computing service providing device_-iRepresenting the total amount of data processing resources, alpha, required by other internet of things devices in the internet of things system_i(x_i,X_-i) Representing the relative computing power of the ith internet of things device.

Optionally, the resource allocating apparatus 803 is further configured to:

synchronizing target service related information in each block chain node of the Internet of things system; the blockchain nodes are the Internet of things equipment and the edge computing server for running blockchain application programs.

Optionally, the resource allocating apparatus 803 is specifically configured to:

Optionally, the edge computing service providing device 801 is specifically configured to:

and determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function of the equipment and the utility function of the Internet of things equipment for processing the target service so as to maximize the utility function value of the equipment.

To facilitate understanding of the system of internet of things provided in the embodiments of the present specification, fig. 9 illustrates a specific structural diagram of the system of internet of things provided in the embodiments of the present specification. In the specific structure of the internet of things system shown in fig. 9, two edge computing units, namely an edge computing server 1 and an edge computing server 2, are provided, and four internet of things devices, namely an internet of things device 1, an internet of things device 2, an internet of things device 3 and an internet of things device 4, are accessed into the internet of things system. The edge computing server 1 and the edge computing server 2 are both connected with the edge computing service providing device, the edge computing server 1 is connected with the internet of things device 1 and the internet of things device 3 and is used for collecting resource requests of the internet of things device 1 and the internet of things device 3 and sending the received resource requests to the edge computing service providing device, and the edge computing server 2 is connected with the physical network device 2 and the internet of things device 4 and is used for collecting resource requests sent by the internet of things device 2 and the internet of things device 4 and sending the received resource requests to the edge computing service providing device.

It should be noted that the internet of things system shown in fig. 9 is an exemplary illustration, and the number of the internet of things devices, the number of the edge computing servers, and the specific connection between the internet of things devices and the edge computing servers, which are referred to herein, do not limit the embodiments of the present specification.

In addition, in the internet of things system shown in fig. 9, the blockchain application program is installed on each internet of things device and each edge computing server, and therefore each internet of things device and each edge computing server are blockchain nodes in the internet of things system.

In order to facilitate understanding of the resource allocation method provided in the embodiment of the present specification, the resource allocation method provided in the embodiment of the present specification will be described below with reference to the internet of things system shown in fig. 9, taking an example that the internet of things device 1 requests data processing resources.

The method comprises the steps that the internet of things equipment 1 obtains pricing of a single data processing resource corresponding to the internet of things equipment, determines the quantity of the data processing resource when a corresponding utility function value is maximum according to the pricing of the single data processing resource corresponding to the internet of things equipment and a corresponding utility function, and determines the quantity of the data processing resource as the quantity of the data processing resource requested by edge computing service providing equipment; the Internet of things equipment 1 sends a resource request to the edge computing server 1 according to the determined quantity of the requested data processing resources; specifically, the resource request may carry information such as the amount of the requested data processing resource, the original data to be processed, and the like. The edge computing server 1 sends the received resource request to edge computing service providing equipment, the edge computing service providing equipment distributes data processing resources to the Internet of things equipment according to the resource request, performs data processing by using the data processing resources distributed to the Internet of things equipment, and then sends a data processing result to the Internet of things equipment 1 through the edge computing server 1; and after receiving the data processing result, the internet of things device 1 processes the target service according to the data processing result.

In addition, after the internet of things device 1 receives the data processing result sent by the edge computing service providing device, the corresponding reward is paid to the edge computing service providing device through the edge computing server 1. In addition, after the internet of things device 1 successfully processes the target task, the related information of the target task is synchronized at each block chain node in the internet of things system, so that the management, monitoring and the like of data in the whole internet of things system are facilitated.

Fig. 10 is a schematic diagram of information transmission between an edge computing service providing device and an internet of things device according to an embodiment of the present disclosure. Specifically, the edge computing service providing device provides an edge computing service to each internet of things device, and each internet of things device pays for the edge computing service providing device.

In fig. 10, the device 1 and the device 2 … each refer to each internet of things device in the internet of things system.

In the internet of things system provided by the embodiment of the specification, when determining pricing of a single data processing resource, the edge computing service providing equipment takes the utility function value of the edge computing service providing equipment into account, so that the determined pricing of the single data processing resource corresponding to each internet of things equipment is reasonable; the method comprises the steps that the Internet of things equipment determines the quantity of data processing resources requested by edge computing service providing equipment according to a utility function of processing target services per se and pricing of single data processing resources corresponding to the utility function; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; therefore, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the edge computing service providing equipment can reasonably allocate the limited data processing resources.

Further, based on the methods shown in fig. 1 to fig. 5, an embodiment of the present specification further provides a resource allocation device, as shown in fig. 11.

The resource allocation apparatus may vary greatly in configuration or performance, and may include one or more processors 1101 and memory 1102, where the memory 1102 may store one or more stored applications or data. Wherein memory 1102 may be transient or persistent. The application program stored in memory 1102 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for a resource allocation device. Still further, the processor 1101 may be configured to communicate with the memory 1102 to execute a series of computer-executable instructions in the memory 1102 on the resource allocation device. The resource allocation apparatus may also include one or more power supplies 1103, one or more wired or wireless network interfaces 1104, one or more input-output interfaces 1105, one or more keyboards 1106, and the like.

In one particular embodiment, a resource allocation apparatus comprises a memory, and one or more programs, wherein the one or more programs are stored in the memory, and the one or more programs may comprise one or more modules, and each module may comprise a series of computer-executable instructions for the resource allocation apparatus, and the one or more programs configured to be executed by one or more processors comprise computer-executable instructions for:

determining the quantity of data processing resources requested by edge computing service providing equipment according to a utility function value of the target service processed by the Internet of things equipment; the data processing resources are used for processing data related to target services;

and sending a resource request to the edge computing service providing equipment according to the determined quantity of the data processing resources, so that the edge computing service providing equipment allocates corresponding data processing resources to the Internet of things equipment according to the resource request.

Optionally, when executed, the computer-executable instructions determine, according to a utility function value of the internet of things device for processing the target service, an amount of data processing resources requested by the edge computing service providing device, including:

and determining the quantity corresponding to the calculated maximum utility function value as the quantity of the data processing resources requested by the edge computing service providing equipment.

Optionally, when executed, the computer-executable instructions calculate utility function values corresponding to different amounts of data processing resources according to pricing of a single data processing resource and a utility function of the internet of things device for processing a target service, including:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

Optionally, the computer executable instructions, when executed, further comprise, after sending the resource request to the edge computing service providing device:

Optionally, when executed, after the internet of things device processes the target service according to the data processing result, the computer-executable instructions further include:

Optionally, the computer executable instructions, when executed, send a resource request to the edge computing service providing device, comprising:

and sending the resource request to an edge computing server corresponding to the Internet of things equipment so that the edge computing server sends the source request to the edge computing service providing equipment.

The resource allocation device provided in the embodiment of the present specification determines, according to a utility function value of a target service processed by the internet of things device itself, the amount of data processing resources requested by the edge computing service providing device; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing equipment is realized.

after receiving a resource request sent by the Internet of things equipment, distributing corresponding data processing resources to the Internet of things equipment according to the resource request.

Optionally, when executed, the computer-executable instructions determine, according to their utility function values, pricing of a single data processing resource corresponding to each internet of things device, including:

and the pricing method is used for determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function of the equipment and the utility function of the Internet of things equipment for processing the target service, so that the utility function value of the equipment is maximum.

The resource allocation device provided in the embodiment of the present description takes into account the utility function value of the edge computing service providing device when determining the pricing of a single data processing resource, so that the determined pricing of the single data processing resource corresponding to each internet of things device is reasonable, and thus, the internet of things device determines the amount of the requested data processing resource according to the pricing of the corresponding single data processing resource and the utility function value of the processing target service of the internet of things device, so that the amount of the requested data processing resource is reasonable, and the reasonable allocation of the data processing resource of the edge computing service providing device is realized.

Further, based on the methods shown in fig. 1 to fig. 5, in a specific embodiment, the storage medium is a usb disk, an optical disk, a hard disk, or the like, and the storage medium stores computer-executable instructions that, when executed by the processor, implement the following processes:

Optionally, when executed by the processor, the storage medium stores computer-executable instructions for determining, according to a utility function value of the internet of things device for processing the target service, an amount of data processing resources requested by the edge computing service providing device, including:

Optionally, when executed by the processor, the computer-executable instructions stored in the storage medium calculate utility function values corresponding to different quantities of data processing resources according to pricing of a single data processing resource and a utility function of the internet of things device for processing a target service, including:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

Optionally, the computer-executable instructions stored in the storage medium, when executed by the processor, further comprise, after sending the resource request to the edge computing service providing device:

Optionally, the storage medium stores computer-executable instructions, which when executed by the processor, further include, after the internet of things device processes the target service according to the data processing result:

synchronizing target service related information in each block chain link point of the Internet of things system; the blockchain nodes are the Internet of things equipment and the edge computing server for running blockchain application programs.

Optionally, the computer executable instructions stored in the storage medium, when executed by the processor, send a resource request to the edge computing service providing device, comprising:

When executed by a processor, the computer-executable instructions stored in the storage medium provided in the embodiments of the present description determine, according to a utility function value of a target service processed by the internet of things device itself, an amount of data processing resources requested by the edge computing service providing device; then according to the data of the data processing resource, sending a resource request to the edge computing service providing equipment; in this way, when determining that the data processing resources are requested to the edge computing service providing equipment, the utility function value of the edge computing service providing equipment is taken into account, so that the quantity of the requested data processing resources is reasonable, and the reasonable distribution of the data processing resources of the edge computing service providing equipment is realized.

Further, the embodiments of the present specification also provide a storage medium for storing computer-executable instructions, and in a specific embodiment, the storage medium may be a usb disk, an optical disk, a hard disk, or the like, and the storage medium stores computer-executable instructions that, when executed by a processor, implement the following processes:

Optionally, when executed by the processor, the computer-executable instructions stored in the storage medium determine pricing of a single data processing resource corresponding to each internet of things device according to its utility function value, where the pricing includes:

and determining pricing of a single data processing resource corresponding to each piece of Internet of things equipment according to the utility function of the equipment and the utility function of the Internet of things equipment for processing the target service so as to maximize the utility function value of the equipment. When executed by a processor, the computer-executable instructions stored in the storage medium provided in the embodiments of the present description take into account the utility function value of the edge computing service providing device when determining the pricing of a single data processing resource, so that the determined pricing of the single data processing resource corresponding to each internet of things device is reasonable, and thus, the internet of things device determines the amount of the requested data processing resource according to the pricing of the corresponding single data processing resource and the utility function value of the processing target service of the internet of things device, so that the amount of the requested data processing resource is reasonable, and thus, the reasonable allocation of the data processing resource of the edge computing service providing device is achieved.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where services are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method of resource allocation, the method comprising:

2. The method of claim 1, wherein the determining the amount of data processing resources requested by the edge computing service providing device according to the utility function value of the target traffic processed by the internet of things device itself comprises:

calculating utility function values corresponding to different quantities of data processing resources according to pricing of single data processing resources and utility functions of the Internet of things equipment for processing the target service;

3. The method of claim 2, wherein calculating utility function values corresponding to different amounts of data processing resources according to pricing of single data processing resources and utility functions of the internet of things devices for processing the target service comprises:

u_i(x_i,X_-i,p_i)＝(R+rt_i)P_i(α_i(x_i,X_-i)，t_i)-p_ix_i

wherein, in the above formulaIn u_i(x_i,X_-i,p_i) Expressing the utility function value of the ith Internet of things equipment for processing the target service, R expressing the fixed income, and rt_iRepresenting the variable gain of the ith Internet of things equipment, r representing a coefficient, t_iSize, P, of a block representing the ith IOT device_i(α_i(x_i,X_-i)，t_i) Expressing the success probability of the ith Internet of things equipment for processing the target service, expressing coefficients by lambda and z, expressing the number of the Internet of things equipment in the Internet of things system by n and expressing p_iRepresents pricing, x, of a single data processing resource corresponding to the ith IOT device_iRepresenting the amount of data processing resources, X, requested from an edge computing service providing device_-iRepresenting the total amount of data processing resources, alpha, required by other internet of things devices in the internet of things system_i(x_i,X_-i) Representing the relative computing power of the ith internet of things device.

4. The method of claim 1, after sending the resource request to the edge computing service providing device, the method further comprising:

5. The method of claim 4, after the IOT device processes the target service according to the data processing result, the method further comprising:

synchronizing the target service related information in each block chain node of the Internet of things system; the block chain nodes are the Internet of things equipment and the edge computing server for running the block chain application program.

6. The method of claim 1, the sending a resource request to the edge computing service providing device, comprising:

and sending the resource request to an edge computing server corresponding to the Internet of things equipment, so that the edge computing server sends the resource request to the edge computing service providing equipment.

7. A method of resource allocation, the method comprising:

8. The method of claim 7, wherein determining pricing of the single data processing resource corresponding to each internet of things device according to its utility function value comprises:

9. An apparatus for resource allocation, the apparatus comprising:

10. The apparatus of claim 9, the first determining module comprising:

the computing unit is used for computing utility function values corresponding to different quantities of data processing resources according to pricing of single data processing resources and utility functions of the Internet of things equipment for processing the target service;

11. The apparatus of claim 9, the apparatus further comprising:

and the receiving module is used for receiving a data processing result returned by the edge computing service providing equipment so as to enable the Internet of things equipment to process the target service according to the data processing result.

12. The apparatus of claim 11, the apparatus further comprising:

the synchronization module synchronizes the target service related information in each block chain node of the Internet of things system; the block chain nodes are the Internet of things equipment and the edge computing server for running the block chain application program.

13. A resource allocation apparatus, comprising:

14. An internet of things system, comprising: the system comprises an edge computing service providing device and at least one Internet of things device; the resource allocation device of any one of claims 9-12 is installed on the internet of things device;

15. The system of claim 14, further comprising at least one edge computing server; the edge computing server is connected with the Internet of things equipment and the edge computing service providing equipment;

the edge computing server is used for collecting the resource request sent by the internet of things equipment and forwarding the resource request to the edge computing service providing equipment.

16. The system of claim 14, the edge computing service providing device further to:

determining pricing of a single data processing resource corresponding to each Internet of things device according to the utility function value of the device; and sending the pricing of the single data processing resource to corresponding Internet of things equipment.

17. A resource allocation apparatus, comprising:

a processor; and

18. A resource allocation apparatus, comprising:

a processor; and

19. A storage medium storing computer-executable instructions that, when executed, implement the following:

20. A storage medium storing computer-executable instructions that, when executed, implement the following: