CN115766426A - Computing resource processing method and device, electronic equipment and readable storage medium - Google Patents
Computing resource processing method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN115766426A CN115766426A CN202211312921.2A CN202211312921A CN115766426A CN 115766426 A CN115766426 A CN 115766426A CN 202211312921 A CN202211312921 A CN 202211312921A CN 115766426 A CN115766426 A CN 115766426A
- Authority
- CN
- China
- Prior art keywords
- resource
- information table
- target network
- resource information
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention provides a computing power resource processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of computing power networks. The method comprises the following steps: determining a resource information table corresponding to the target network node according to the calculation resources from the calculation resource node to the target network node and the time delay information; and sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to the user side. Therefore, the invention can solve the problems of limited resources of the edge computing nodes and low utilization rate of computing resources caused by the distributed comparison and dispersion among the edge computing nodes in the related technology.
Description
Technical Field
The present invention relates to the field of computing power network technologies, and in particular, to a computing power resource processing method and apparatus, an electronic device, and a readable storage medium.
Background
With the continuous development of 5G (5 th Generation Mobile Communication Technology) and Mobile internet Technology, new applications for new services such as car networking and ultra-high definition video are continuously emerging, and not only more network bandwidth resources but also more computing resources are required for ensuring the normal operation and user experience of the new applications for new services. The new challenges drive the development of edge computing, which is a novel network paradigm for deploying computing and storage resources at the edge of a network and providing cloud computing service environment and capability for users nearby, can greatly reduce the time delay of accessing network contents and computing services by users, and has important significance for improving network performance and user experience.
From the perspective of resource construction and occupation, most enterprise users are not large-scale internet enterprises with great financial resources, obviously do not have enough resource reserves, and need a flexible resource acquisition and use mode. From the perspective of resource supply, all the parties of the information basic resource are also scattered, and it is difficult for some party to occupy all the resources.
On one hand, the computing resources deployed by edge computing nodes are often limited and often difficult to handle for a large number of compute-intensive tasks; and the problem of overlarge time delay is caused by migrating the computing task to the cloud computing node. On the other hand, the computing resources of the edge computing nodes are not efficiently utilized, for example, some edge computing nodes are heavy in computing load, and some edge computing nodes are idle. In the related art, the resources of the edge computing nodes are limited, and the distribution of the edge computing nodes is relatively dispersed, so that the utilization rate of the computing resources is low.
Disclosure of Invention
Embodiments of the present invention provide a computing resource processing method and apparatus, an electronic device, and a readable storage medium, so as to solve the problems in the related art that the edge computing node resources are limited, and the distribution of the edge computing nodes is relatively dispersed, which results in a low utilization rate of computing resources.
In order to solve the technical problem, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a computing resource processing method, which is applied to a target network node, where the method includes: determining a resource information table corresponding to the target network node according to the calculation resource from the calculation resource node to the target network node and the time delay information through a pre-trained line prediction model; and sending the resource information table to a calculation power network arrangement management platform so that the calculation power network arrangement management platform displays the resource information table to a user side.
Further, the target network node includes a domain gateway device, where the determining, according to the calculation resource from the calculation resource node to the target network node and the delay information, a resource information table corresponding to the target network node by using the pre-trained line prediction model includes: determining a network path from the target network node to the computational resource node according to the computational resource node and the network topology of a target network corresponding to the domain gateway equipment through the line prediction model; and determining the resource information table according to the network path and the network delay information of the target network.
Further, the sending the resource information table to a computational power network arrangement management platform includes: and sending the resource information table to a computational power network arrangement management platform through the domain gateway equipment.
In a second aspect, an embodiment of the present invention provides a computing resource processing method, which is applied to a computing network orchestration management platform, where the method includes: receiving a resource information table sent by a target network node, wherein the resource information table is determined by a line prediction model which is trained in advance by the target network node according to computing resources from the computing resource node to the target network node and time delay information; and displaying the resource information table to a user side.
Further, the displaying the resource information table to the user side includes: determining the computing power time delay of the target network node and the computing power network arrangement management platform according to the computing power resource node and a computing task queue in the computing power network arrangement management platform through a computing power time delay prediction model which is trained in advance; updating the time delay information in the resource information table according to the computing time delay to obtain a first resource information table; and displaying the first resource information table to the user side.
In a third aspect, an embodiment of the present invention additionally provides a computing power resource processing apparatus, which is applied to a target network node, where the apparatus includes: the determining module is used for determining a resource information table corresponding to the target network node according to the calculation resources from the calculation resource node to the target network node and the time delay information through a pre-trained line prediction model; and the sending module is used for sending the resource information table to a computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to a user side.
Further, the target network node comprises a domain gateway device, wherein the determining module comprises: a first determining unit, configured to determine, according to the network topology of a target network corresponding to the computational resource node and the domain gateway device, a network path from the target network node to the computational resource node through the line prediction model; a second determining unit, configured to determine the resource information table according to the network path and the network delay information of the target network.
Further, the sending module includes: and the sending unit is used for sending the resource information table to a computational power network arrangement management platform through the domain gateway equipment.
In a fourth aspect, an embodiment of the present invention further provides a computing resource processing apparatus, which is applied to a computing network orchestration management platform, where the apparatus includes: the system comprises a receiving module, a resource information table and a resource information processing module, wherein the resource information table is sent by a target network node, and is determined by a line prediction model which is trained in advance by the target network node according to computing resources from the computing resource node to the target network node and time delay information; and the display module is used for displaying the resource information table to a user side.
Further, the display module comprises: the determining unit is used for determining the computational power time delay of the target network node and the computational power network arrangement management platform according to the computational power resource node and a computational task queue in the computational power network arrangement management platform through a pre-trained computational power time delay prediction model; the processing unit is used for updating the time delay information in the resource information table according to the computing time delay to obtain a first resource information table; and the display unit is used for displaying the first resource information table to the user side.
In a fifth aspect, an embodiment of the present invention additionally provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the computational resource processing method of the first or second aspect.
In a sixth aspect, the present invention provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the computational resource processing method according to the first or second aspect.
In the embodiment of the invention, a resource information table corresponding to a target network node is determined according to the calculation resource from the calculation resource node to the target network node and the time delay information through a pre-trained line prediction model; and sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to the user side. The calculation resource table of each target network node in the target network is obtained by taking the calculation resource node as the target node of the network node, the calculation resource information of each target network node is obtained, then the calculation resource information is sent to the calculation network arrangement management platform, and the calculation resource is managed in a centralized manner through the calculation network arrangement management platform. The invention solves the problems of limited resources of edge computing nodes and low utilization rate of computing resources caused by the comparative dispersion of the distribution among the edge computing nodes in the related technology.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without inventive labor.
Fig. 1 is a schematic view of an application scenario of a computational resource processing method in an embodiment of the present invention;
FIG. 2 is a flow chart of a computing resource processing method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a network topology in an embodiment of the invention;
FIG. 4 is a schematic flow chart diagram illustrating a computing resource processing method according to another embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a computational resource processing apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of another computational resource processing apparatus in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
Before describing the computing resource processing method in the embodiment of the present invention, an application scenario in the embodiment is first described, and as shown in fig. 1, the application scenario is a schematic diagram in the embodiment. Fig. 1 includes a computational power network arrangement management 10, a target network node 20, a computational power resource node 30, and a user terminal 40, and the network in which the computational power network arrangement management 10, the target network node, the computational power resource node 30, and the user terminal 40 are located includes, but is not limited to, a local area network and a wide area network.
The target network node 20 determines a resource information table corresponding to the target network node 20 according to the calculation resource from the calculation resource node 30 to the target network node 20 and the time delay information through a pre-trained line prediction model; and sending the resource information table to the computational power network arrangement management platform 10, so that the computational power network arrangement management platform 10 displays the resource information table to the user terminal 40.
In the above example, the computing resource table of each target network node in the target network is obtained by using the computing resource node as the destination node of the network node, the computing resource information of each target network node is obtained, and then the computing resource information is sent to the computing network arrangement management platform, so as to implement centralized management of the computing resources.
According to an embodiment of the present invention, a computing resource processing method is provided, which is applied to a target network node, and as shown in fig. 2, the method specifically includes the following steps:
s202, determining a resource information table corresponding to a target network node according to the calculation resources from the calculation resource node to the target network node and time delay information through a pre-trained line prediction model;
and S204, sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to a user side.
The target network node in this embodiment includes, but is not limited to, a gateway device, a router, and other network nodes. The computing resource section is used for providing cloud computing resources for computing services of the user side.
In this embodiment, the computing power network arrangement management platform is used to provide functions such as computing power resource management for cloud computing resources in a target network, and provide corresponding computing power resource display and transaction according to the requirements of a user side. Such as SDN (Software Defined networking)/NFV (Network Function Virtualization) orchestration management platforms.
In this embodiment, the computational power resource and the time delay information between the target network node and the computational power resource node are calculated by the target network node, and each target network node determines a resource information table corresponding to the target network node according to its own network topology, time delay information and resource information of the computational power resource node.
In this embodiment, an ant colony algorithm is used to construct a line prediction model, and a target network node generates a resource information table of the target network node from a computational resource node to a next hop address and a time delay between the target network node through the line prediction model.
In one example, an ant colony algorithm is adopted to construct a line prediction model, and a resource information table corresponding to a target network node R1 shown in table 1 is generated by starting from the computing resource nodes C1 and C to the next hop address and time delay between the target network node R1.
The following introduces a line prediction model constructed by adopting an ant colony algorithm:
the ant colony algorithm uses the walking paths of ants to represent a feasible solution of the problem to be optimized, and all paths of the whole ant colony form a solution space of the problem to be optimized. The pheromone released by the ants with the shorter paths is more, the concentration of the pheromone accumulated on the shorter paths is gradually increased along with the advance of time, and the number of the ants selecting the paths is increased more and more. Finally, the whole ant can be concentrated on the optimal path under the action of positive feedback, and the corresponding optimal solution of the problem to be optimized is obtained.
The optimal path in the ant colony algorithm corresponds to the optimal routing path from the target network node to the computational resource node in this embodiment.
Core formula and description in the ant colony algorithm:
wherein the content of the first and second substances,
probability of selecting a path i-j for a kth ant in the tth generation of ants; i is the node where the ant k is currently located; j is a node reached by the next station of the ant k; a is the importance of the pheromone; beta is the relative importance of the elicitor; n is ij Is a heuristic factor;
J k (i) And (i) nodes which can be selected by the ant k at the current time (note: each node can only go once).
Wherein the content of the first and second substances,
d ij is the distance of nodes i to j.
The pheromone update formula is as follows:
when all ants complete one iteration (i.e., each ant traverses all nodes), the pheromone on the path must be changed, so that the pheromone needs to be updated in time, and the subsequent ants of the ants can conveniently access the nodes along the path.
τ ij (t+1)＝(1-ρ)τ ij (t)+Δτ ij
Wherein, tau ij (t) indicates pheromones on i-j paths at time t (t-th generation ants)
The sum of pheromones left by m ants on the path from i to j is as follows:
pheromones left by the kth ant on the path from i to j (Q represents pheromone owned by one ant); k is ant number; m is the number of ants; ρ is the dilution of pheromone (pheromone greater than 0 and less than 1 withRate of time reduction); l is k The total distance of the path traveled by ant k.
And then, sending the resource information table corresponding to the target network to a computational power network arrangement management platform, wherein in an actual application scene, each target network node has a resource information table corresponding to the target network node, and the computational power network arrangement management platform collects and summarizes each resource information table by receiving the resource information table sent by each target network node.
Optionally, in this embodiment, the target network node includes a domain gateway device, where a resource information table corresponding to the target network node is determined according to the calculation resource and the delay information from the calculation resource node to the target network node through a pre-trained line prediction model, and the resource information table includes, but is not limited to: determining a network path from a target network node to a computing resource node according to the computing resource node and the network topology of a target network corresponding to the domain gateway equipment through a line prediction model; and determining a resource information table according to the network path and the network delay information of the target network.
In this embodiment, the target network node includes a domain gateway device, such as a three-layer switch, a router, and the like. Routing protocols corresponding to the network of the domain Gateway device include, but are not limited to, OSPF (Open short Path First), IS-IS (Intermediate System-to-Intermediate System), BGP (Border Gateway Protocol), and the like. In the routing protocol, a routing domain exists, and a gateway device corresponding to the routing domain is a domain gateway device.
In this embodiment, the line prediction model corresponding to the ant colony algorithm is trained through the pre-stored training data of the computational resource information, so as to obtain the trained line prediction model. And then determining a network path from the target network node to the computing resource node according to the computing resource node and the network topology of the target network corresponding to the domain gateway equipment based on the line prediction model. And then determining a resource information table according to the network path and the network delay information of the target network.
In the above example, the resource information table is determined according to the computational resource node and the network topology of the target network corresponding to the domain gateway device through the line prediction model, so that the domain gateway device obtains the computational resource information of the computational node in the local domain.
Optionally, in this embodiment, the resource information table is sent to the computational power network orchestration management platform, which includes but is not limited to: and sending the resource information table to the computational power network arrangement management platform through the domain gateway equipment.
In the existing application scenario, the router still stores the computing resource information of the computing resource nodes in the routing domain after obtaining the computing resource information, and the computing resource utilization rate is low under the condition that the computing resource nodes are distributed and dispersed.
In this embodiment, the computational power resources and the delay information in the resource information table, and the corresponding routing path are sent to the computational power network arrangement management platform, so as to implement unified management on the computational power resources.
In a specific application scenario, as shown in fig. 3, the network topology includes: network nodes R1, R2, 8230, R5, network nodes AR1 and AR2, computing resource nodes C1, C2 and C3; user ends X, Y and Z, a calculation network arrangement management platform and a calculation network trading platform.
Based on the network topology shown in fig. 3, a resource information table is determined according to the computational power resources from the computational power resource nodes to the target network nodes and the time delay information through a line prediction model, so as to obtain the resource information tables shown in tables 1 to 7.
TABLE 1
Table 1 is a resource information table corresponding to the target network node R1.
TABLE 2
Table 2 is a resource information table corresponding to the target network node R2.
TABLE 3
Table 3 is a resource information table corresponding to the target network node R3.
TABLE 4
Table 4 is a resource information table corresponding to the target network node R4.
TABLE 5
Table 5 is a resource information table corresponding to the target network node R5.
The above embodiment introduces the computing power resource processing method based on the target network node side, and the computing power resource processing method is described below through the computing power network management platform, which are based on the same inventive concept and are only different in the execution subject of the method.
According to another embodiment of the present invention, as shown in fig. 4, the method is applied to a computing power network orchestration management platform, wherein the method includes:
s402, receiving a resource information table sent by a target network node, wherein the resource information table is determined by a line prediction model which is trained in advance by the target network node according to computing resources from the computing resource node to the target network node and time delay information;
s404, displaying the resource information table to the user terminal.
In the above example, the computing resource table of each target network node in the target network is obtained by using the computing resource node as the destination node of the network node, the computing resource information of each target network node is obtained, and then the computing resource information is sent to the computing network arrangement management platform, so as to implement centralized management of the computing resources. The invention solves the problems of limited resources of edge computing nodes and low utilization rate of computing resources caused by the comparative dispersion of the distribution among the edge computing nodes in the related technology.
Optionally, in this embodiment, the resource information table is presented to the user side, which includes but is not limited to: determining the computing time delay of a target network node and a computing network arrangement management platform according to computing resource nodes and a computing task queue in a computing network arrangement management platform through a computing time delay model which is trained in advance; updating time delay information in the resource information table according to the computing time delay to obtain a first resource information table; and displaying the first resource information table to the user side.
Specifically, the time delay between the target network node and the computational power network arrangement management platform is calculated through the computational power time delay model, so that the time delay is more accurate.
In an actual application scenario, in a wireless time domain, the delay is one of important characteristics for measuring system performance, and in this embodiment, the delay is measured by a sum of lengths of task queues in each node of a target network node and a computing resource node.
The computational force delay model in this embodiment can be expressed as:
wherein S is k (t) a compute task queue, Q, for a computational network orchestration management platform k And (t) is a calculation task queue existing in each calculation resource node, and t represents the t-th task decision time.
It should be noted that, according to the calculation resource and the time delay information from the calculation resource node to the target network node, a resource information table corresponding to the target network node is determined through a pre-trained line prediction model according to the embodiment of the present invention; and sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to the user side. The calculation resource table of each target network node in the target network is obtained by taking the calculation resource node as the target node of the network node, the calculation resource information of each target network node is obtained, and then the calculation resource information is sent to the calculation network arrangement management platform, so that the centralized management of the calculation resource is realized. The invention solves the problems of limited resources of edge computing nodes and low utilization rate of computing resources caused by the comparative dispersion of the distribution among the edge computing nodes in the related technology.
Example two
The computing resource processing device provided by the embodiment of the invention is applied to a target network node.
Referring to fig. 5, a schematic structural diagram of a computational resource processing apparatus according to an embodiment of the present invention is shown.
The computing power resource processing device of the embodiment of the invention comprises: a determination module 50 and a sending module 52.
The functions of the modules and the interaction relationship between the modules are described in detail below.
A determining module 50, configured to determine, according to a pre-trained line prediction model, a resource information table corresponding to a target network node according to a computational resource from a computational resource node to the target network node and time delay information;
the sending module 52 is configured to send the resource information table to a computational power network arrangement management platform, so that the computational power network arrangement management platform displays the resource information table to a user side.
Optionally, in this embodiment, the target network node includes a domain gateway device, where the determining module 50 includes:
a first determining unit, configured to determine, according to the network topology of a target network corresponding to the computational resource node and the domain gateway device, a network path from the target network node to the computational resource node through the line prediction model;
and the second determining unit is used for determining the resource information table according to the network path and the network delay information of the target network.
Optionally, in this embodiment, the sending module 52 includes:
and the sending unit is used for sending the resource information table to a computational power network arrangement management platform through the domain gateway equipment.
In addition, in the embodiment of the invention, a resource information table corresponding to the target network node is determined according to the computing power resource from the computing power resource node to the target network node and the time delay information through a pre-trained line prediction model; and sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to the user side. The calculation resource table of each target network node in the target network is obtained by taking the calculation resource node as the target node of the network node, the calculation resource information of each target network node is obtained, and then the calculation resource information is sent to the calculation network arrangement management platform, so that the centralized management of the calculation resource is realized. The invention solves the problems of limited resources of edge computing nodes and low utilization rate of computing resources caused by the comparative dispersion of the distribution among the edge computing nodes in the related technology.
EXAMPLE III
The embodiment of the invention provides a computing power resource processing device which is applied to a computing power network arrangement management platform.
Referring to fig. 6, a schematic structural diagram of a computational resource processing apparatus in an embodiment of the present invention is shown.
The computing power resource processing device of the embodiment of the invention comprises: a receiving module 60 and a display module 62.
The functions of the modules and the interaction relationship between the modules are described in detail below.
A receiving module 60, configured to receive a resource information table sent by a target network node, where the resource information table is determined by a line prediction model completed by the target network node through pre-training, according to a computational resource from a computational resource node to the target network node and time delay information;
and a display module 62, configured to display the resource information table to a user side.
Optionally, in this embodiment, the display module 62 includes:
the determining unit is used for determining the computational power time delay of the target network node and the computational power network arrangement management platform according to the computational power resource node and a computational task queue in the computational power network arrangement management platform through a pre-trained computational power time delay prediction model;
the processing unit is used for updating the time delay information in the resource information table according to the computing time delay to obtain a first resource information table;
and the display unit is used for displaying the first resource information table to the user side.
In addition, in the embodiment of the invention, a resource information table corresponding to the target network node is determined according to the calculation force resource from the calculation force resource node to the target network node and the time delay information through a pre-trained line prediction model; and sending the resource information table to the computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to the user side. The calculation resource table of each target network node in the target network is obtained by taking the calculation resource node as the target node of the network node, the calculation resource information of each target network node is obtained, and then the calculation resource information is sent to the calculation network arrangement management platform, so that the centralized management of the calculation resource is realized. The invention solves the problems of limited resources of edge computing nodes and low utilization rate of computing resources caused by the comparative dispersion of the distribution among the edge computing nodes in the related technology.
Example four
Preferably, an embodiment of the present invention further provides an electronic device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the computational resource processing method as described above.
Optionally, in this embodiment, the memory is configured to store program code for performing the steps of:
s1, determining a resource information table corresponding to a target network node according to a calculation resource and time delay information from a calculation resource node to the target network node through a pre-trained line prediction model;
and S2, sending the resource information table to a computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to a user side.
Optionally, in this embodiment, the memory is configured to store program code for performing the steps of:
the method comprises the steps that S1, a resource information table sent by a target network node is received, wherein the resource information table is determined by a line prediction model which is trained in advance by the target network node according to computing power resources from the computing power resource node to the target network node and time delay information;
and S2, displaying the resource information table to a user side.
Optionally, the specific example in this embodiment may refer to the example described in embodiment 1 above, and this embodiment is not described again here.
EXAMPLE five
The embodiment of the invention also provides a readable storage medium. Optionally, in this embodiment, the readable storage medium stores a program or instructions thereon, and the program or instructions when executed by the processor implement the steps of the computing power resource processing method according to embodiment 1.
Optionally, in this embodiment, the readable storage medium is configured to store program code for performing the following steps:
s1, determining a resource information table corresponding to a target network node according to a calculation resource and time delay information from a calculation resource node to the target network node through a pre-trained line prediction model;
and S2, sending the resource information table to a computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to a user side.
Optionally, in this embodiment, the readable storage medium is configured to store program code for performing the steps of:
the method comprises the steps that S1, a resource information table sent by a target network node is received, wherein the resource information table is determined by a line prediction model which is trained in advance by the target network node according to computing power resources from the computing power resource node to the target network node and time delay information;
and S2, displaying the resource information table to a user side.
Optionally, the readable storage medium is further configured to store program codes for performing the steps included in the method in embodiment 1, which is not described in detail in this embodiment.
Optionally, in this embodiment, the readable storage medium may include but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Optionally, for a specific example in this embodiment, reference may be made to the example described in embodiment 1 above, and this embodiment is not described herein again.
It should be noted that, in this document, 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 phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
Through the description of the foregoing embodiments, it is clear to those skilled in the art that the method of the foregoing embodiments may be implemented by software plus a necessary general hardware platform, and certainly may also be implemented by hardware, but in many cases, the former is a better implementation. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (12)
1. A computing power resource processing method applied to a target network node, wherein the method comprises:
determining a resource information table corresponding to the target network node according to the calculation resource from the calculation resource node to the target network node and the time delay information through a pre-trained line prediction model;
and sending the resource information table to a calculation power network arrangement management platform so that the calculation power network arrangement management platform displays the resource information table to a user side.
2. The method of claim 1, wherein the target network node comprises a domain gateway device, wherein,
the method for determining the resource information table corresponding to the target network node according to the calculation resource from the calculation resource node to the target network node and the time delay information through the pre-trained line prediction model comprises the following steps:
determining a network path from the target network node to the computing resource node according to the computing resource node and the network topology of a target network corresponding to the domain gateway equipment through the line prediction model;
and determining the resource information table according to the network path and the network delay information of the target network.
3. The method of claim 2, wherein sending the resource information table to a computational power network orchestration management platform comprises:
and sending the resource information table to a computing power network arrangement management platform through the domain gateway equipment.
4. A computing power resource processing method is applied to a computing power network arrangement management platform, wherein the method comprises the following steps:
receiving a resource information table sent by a target network node, wherein the resource information table is determined by a line prediction model which is trained in advance by the target network node according to computing resources from the computing resource node to the target network node and time delay information;
and displaying the resource information table to a user side.
5. The method according to claim 4, wherein said presenting the resource information table to the user side comprises:
determining the computing power time delay of the target network node and the computing power network arrangement management platform according to the computing power resource node and a computing task queue in the computing power network arrangement management platform through a computing power time delay prediction model which is trained in advance;
updating the time delay information in the resource information table according to the computing time delay to obtain a first resource information table;
and displaying the first resource information table to the user side.
6. A computational resource processing apparatus applied to a target network node, wherein the apparatus comprises:
the determining module is used for determining a resource information table corresponding to the target network node according to the calculation resources from the calculation resource node to the target network node and the time delay information through a pre-trained line prediction model;
and the sending module is used for sending the resource information table to a computational power network arrangement management platform so that the computational power network arrangement management platform displays the resource information table to a user side.
7. The apparatus of claim 6, wherein the target network node comprises a domain gateway device, and wherein the determining means comprises:
a first determining unit, configured to determine, according to the network topology of a target network corresponding to the computational resource node and the domain gateway device, a network path from the target network node to the computational resource node through the line prediction model;
a second determining unit, configured to determine the resource information table according to the network path and the network delay information of the target network.
8. The apparatus of claim 7, wherein the sending module comprises:
and the sending unit is used for sending the resource information table to a computational power network arrangement management platform through the domain gateway equipment.
9. A computing power resource processing device applied to a computing power network orchestration management platform, wherein the device comprises:
the system comprises a receiving module, a resource information table and a resource information processing module, wherein the resource information table is sent by a target network node, and is determined by a line prediction model which is trained in advance by the target network node according to computing resources from the computing resource node to the target network node and time delay information;
and the display module is used for displaying the resource information table to a user side.
10. The apparatus of claim 9, wherein the display module comprises:
the determining unit is used for determining the computational power time delay of the target network node and the computational power network arrangement management platform according to the computational power resource node and a computational task queue in the computational power network arrangement management platform through a pre-trained computational power time delay prediction model;
the processing unit is used for updating the time delay information in the resource information table according to the computing time delay to obtain a first resource information table;
and the display unit is used for displaying the first resource information table to the user side.
11. An electronic device, comprising: memory, processor and computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the computational resource processing method of any one of claims 1 to 3 or 4 to 5.
12. A readable storage medium, characterized in that the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the computational resource processing method according to any one of claims 1 to 3 or 4 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211312921.2A CN115766426A (en) | 2022-10-25 | 2022-10-25 | Computing resource processing method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211312921.2A CN115766426A (en) | 2022-10-25 | 2022-10-25 | Computing resource processing method and device, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115766426A true CN115766426A (en) | 2023-03-07 |
Family
ID=85353145
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211312921.2A Pending CN115766426A (en) | 2022-10-25 | 2022-10-25 | Computing resource processing method and device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115766426A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116627662A (en) * | 2023-07-24 | 2023-08-22 | 北京智芯微电子科技有限公司 | Resource processing method and device for edge computing, storage medium and electronic equipment |
-
2022
- 2022-10-25 CN CN202211312921.2A patent/CN115766426A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116627662A (en) * | 2023-07-24 | 2023-08-22 | 北京智芯微电子科技有限公司 | Resource processing method and device for edge computing, storage medium and electronic equipment |
| CN116627662B (en) * | 2023-07-24 | 2023-12-01 | 北京智芯微电子科技有限公司 | Resource processing method and device for edge computing, storage medium and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10567519B1 (en) | Service overlay model for a co-location facility | |
| Oljira et al. | A model for QoS-aware VNF placement and provisioning | |
| Ozturk et al. | Energy-aware smart connectivity for IoT networks: Enabling smart ports | |
| CN109347947A (en) | A kind of method of load balancing, name server and cluster nas server | |
| CN109756423A (en) | The method and apparatus of policy update | |
| CN107637050A (en) | The foundation of the priority ranking and communication channel of resource | |
| Huang et al. | Converged network-cloud service composition with end-to-end performance guarantee | |
| Bak et al. | Synthesis of real-time cloud applications for Internet of Things | |
| CN110808857B (en) | Network intercommunication method, device, equipment and storage medium for realizing Kubernetes cluster | |
| CN115766426A (en) | Computing resource processing method and device, electronic equipment and readable storage medium | |
| Zegzhda et al. | Achieving Internet of Things security via providing topological sustainability | |
| CN113612688B (en) | Distributed software defined network control system and construction method thereof | |
| Bhering et al. | Network performance estimator with applications to route selection for IoT multimedia applications | |
| Roy et al. | Fairness in message delivery in delay tolerant networks | |
| US10867267B1 (en) | Customer churn risk engine for a co-location facility | |
| Soares et al. | Resource allocation in the network operator's cloud: A virtualization approach | |
| Yang et al. | Application offloading based on R-OSGi in mobile cloud computing | |
| CN104838624B (en) | The method, apparatus and system that a kind of control business data forward in virtual network | |
| Yadav et al. | Trust-aware framework for application placement in fog computing | |
| CN115695280A (en) | Routing method and device based on edge node, electronic equipment and storage medium | |
| CN102469105B (en) | Improve the method and system of the transmission in Session Initiation Protocol meeting | |
| US10277468B2 (en) | Method and system for determining reachability between one or more nodes in a graph | |
| Murthy et al. | Network lifetime analytical model for node-disjoint multipath routing in wireless sensor networks | |
| van der Mei et al. | Modelling end-to-end quality-of-service for transaction-based services in multi-domain environments | |
| Cao et al. | Topology attribute and global resource-driven virtual network embedding algorithm via novel node-ranking approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |