CN110213327A - A kind of resource regulating method based on edge calculations, apparatus and system - Google Patents
A kind of resource regulating method based on edge calculations, apparatus and system Download PDFInfo
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- CN110213327A CN110213327A CN201910330312.1A CN201910330312A CN110213327A CN 110213327 A CN110213327 A CN 110213327A CN 201910330312 A CN201910330312 A CN 201910330312A CN 110213327 A CN110213327 A CN 110213327A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1012—Server selection for load balancing based on compliance of requirements or conditions with available server resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1031—Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
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Abstract
The present invention relates to a kind of resource regulating methods based on edge calculations, are applied to an edge computing system, and the system comprises pass through the connected central control server communicated of bus and at least two edge of table equipment；The method is suitable for central control server or any edge equipment, comprising steps of creating task to be processed corresponding with the data resource according to the data resource that any edge equipment acquires；The first hardware resource index set that the required by task is wanted is completed in estimation；Obtain the second hardware resource index set of each edge device current residual, and it is compared with the first hardware resource index set, to determine the edge device for being most suitable for the processing task, most suitable edge device if it does not exist, it is determined that the task is handled by the central control server；The task and the data resource are sent to the edge device or the central control server of most suitable processing task, and complete the task.
Description
Technical field
The present invention relates to edge calculations technical field, more particularly, to a kind of resource regulating method based on edge calculations,
Apparatus and system.
Background technique
Internet of Things is connected all items by information sensing device and internet, and information exchange is carried out, to realize
Weigh sensor and management.The acquisition of data is carried out by edge device in the middle front end of Internet of Things.Initially, edge device all only
There is the function that data acquire and data are transmitted.Since sensor integration degree is higher and higher, edge device obtains the ability of data
Also it is being promoted, the demand speed that the boundary where client surveys to calculated result is also constantly being promoted, and the past adopts by edge device
Collection data upload cloud and are calculated, and the mode for returning again to processing result also just gradually cannot meet the needs, and this promotes sides
The birth of edge computational theory.
Edge calculations in traditional technology are a kind of sides that data processing is physically carried out close to the position of data acquisition
Method, such as each sensing node of Internet of Things, these sensing nodes have been not only responsible for acquisition, transmitting data, also achievement unit score
According to the function of processing, result output.Because these data processings generate the node of result not beyond the clouds, but in things side,
Thus edge calculations are a kind of supplements to cloud computing.Therefore, when disposing Internet of Things, according to the demand of client, as far as possible
Mostly different types of sensor is integrated in edge device, it is desirable alternatively to edge device carries out more, the more complicated calculating of type,
To make treatment process and result export closer to people and things.But inventor has found under study for action, the defect of traditional technology
Be, the processing capacity of edge device has certain limitation, when disposing Internet of Things, once distribution node processing capacity just
It has been determined that certain nodes are likely to result in the large-scale wasting of resources, the processing capacity of certain nodes if distribution is inappropriate
Again can be insufficient, to reduce task treatment effeciency, cause network throughput excessive.
Summary of the invention
In view of this, it is necessary to for above-mentioned problem, provide a kind of resource regulating method based on edge calculations, device
And system, the resource of each edge device in Internet of Things can be effectively utilized, the wasting of resources is avoided, effectively improves data processing
Efficiency.
A kind of resource regulating method based on edge calculations is applied to an edge computing system, and the system comprises pass through
The connected central control server communicated of bus and at least two edge of table equipment；The method is suitable for center control clothes
Business device or any edge equipment, the method includes the steps:
According to the data resource that any edge equipment acquires, task to be processed corresponding with the data resource is created；
The first hardware resource index set that the required by task is wanted is completed in estimation；
The second hardware resource index set of each edge device current residual is obtained, and is referred to first hardware resource
Mark set is compared, to determine the edge device for being most suitable for the processing task, most suitable edge device if it does not exist, then
It determines and the task is handled by the central control server；
The task and the data resource are sent to the edge device of most suitable processing task or the center controls
Server, and complete the task.
The step of the first hardware resource index set that the required by task is wanted, is completed in the estimation, comprising:
The minimum hardware resource that the required by task is wanted is completed in estimation, and these hardware resource parameters composition first is hard
Part resource metrics set；Or
The optimal hardware resource that the required by task is wanted is completed in estimation, and these hardware resource parameters composition first is hard
Part resource metrics set.
The first hardware resource index set includes at least CPU parameter, memory parameters and GPU parameter；Described second is hard
Part resource metrics set includes at least CPU parameter, memory parameters, GPU parameter and electricity residue percentage parameter.
The second hardware resource index set for obtaining each edge device current residual, and provided with first hardware
Source index set is compared, and to determine the edge device for being most suitable for the processing task, most suitable edge is set if it does not exist
It is standby, it is determined that the step of handling the task by the central control server specifically includes:
The edge device list in the system is obtained, and the second hardware resource of each edge device current residual is referred to
Mark set is seriatim compared with the first hardware resource index set, excellent until finding the second hardware resource index set
In the edge device of the first hardware resource index set, if it does not exist, it is determined that handle task by central control server.
The described method includes: by the second hardware resource index set of each edge device current residual seriatim with it is described
It is the electricity residue percentage parameter setting one in the second hardware resource index set when first hardware resource is compared
Minimum limit value；For the different comparison weight of the CPU parameter, the memory parameters, the GPU parameter setting, and the memory
The comparison weight highest of parameter, the comparison weight of the GPU parameter are minimum.
Second hardware resource index set is better than the edge device of the first hardware resource index set, electricity residue percentage
It is not less than minimum limit value 50% than parameter, memory parameters are higher than the memory parameters of the first hardware resource index set, CPU ginseng
Several and GPU parameter is differed with the CPU parameter of the first hardware resource index set and GPU parameter is no more than 20%.
A kind of resource scheduling device based on edge calculations, comprising:
Task creation module, to the data resource acquired according to any edge equipment, creation and the data resource pair
The task to be processed answered；
Hardware resource estimation block, to estimate the first hardware resource index set completing the required by task and wanting；
Hardware resource comparison module, to obtain the second hardware resource index set of each edge device current residual,
And be compared with the first hardware resource index set, to determine the edge device for being most suitable for the processing task, if not
There are most suitable edge devices, it is determined that handles the task by the central control server；
Data transmission module, the edge the task and the data resource are sent to most suitable processing task are set
The standby or described central control server, so that the edge device or central control server of the most suitable processing task complete institute
State task；And
Data processing module, to handle the task.
The hardware resource estimation block, to estimate the minimum hardware resource completing the required by task and wanting, and will
These hardware resource parameters form the first hardware resource index set；Or to estimate that completing the required by task wants best
Hardware resource, and by these hardware resource parameters form the first hardware resource index set.
The hardware resource comparison module, to obtain edge device list, and by each edge device current residual
Second hardware resource index set is seriatim compared with the first hardware resource index set, until finding the second hardware
Resource metrics set is better than the edge device of the first hardware resource index set, if it does not exist, it is determined that for by center control clothes
Business device handles task.
A kind of edge calculations system, including passing through the connected central control server communicated of bus and at least two
Edge device；The central control server and any edge device include the scheduling of resource dress based on edge calculations
It sets, the resource scheduling device based on edge calculations is the resource scheduling device above-mentioned based on edge calculations.
Resource regulating method and device based on edge calculations of the invention is provided according to the data of any edge equipment acquisition
Source creates task to be processed, and the hardware resource that the required by task is wanted is completed in estimation, and one is selected from all edge devices
Optimum completes the node of the task, or handles task by central control server, and this makes it possible to effectively utilize object
The resource of each edge device, avoids the wasting of resources in networking, effectively improves data-handling efficiency.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of the resource regulating method based on edge calculations of the present invention；
Fig. 2 is the flow diagram of the resource regulating method in one embodiment of the present invention based on edge calculations；
Fig. 3 is a kind of structural schematic diagram of the resource scheduling device based on edge calculations of the present invention.
Specific embodiment
Referring to Fig. 1, a kind of resource regulating method (this based on edge calculations is provided in one embodiment of the invention
In invention be referred to as method), be applied to an edge computing system (referred to as system), the present invention in the system comprises pass through
Bus is connected the central control server that is communicated and at least two edge of table equipment, central control server device and edge are set
The standby memory that may each comprise storage program and data and the processor for handling data, edge device can be computer,
It can be mobile device, including but is not limited to is mobile phone, plate etc.；Method of the present invention is suitable for central control server
Or any edge equipment, the method includes the steps:
101, according to the data resource that any edge equipment acquires, create corresponding with the data resource to be processed appoint
Business.
Specifically, not only data acquire the edge device in system and the function of transmitting in step 101, it is also equipped with
Data processing function accordingly creates task to be processed after any edge devices collect data.Or step 101 is by cloud
The central control server at end is completed according to the progress of work of each edge device, and cloud is acquired according to each edge device
Data and demand status, to customize each task.
102, the first hardware resource index set that the required by task is wanted is completed in estimation.
Specifically, the edge device in system is provided with certain data-handling capacity in the present embodiment, it include CPU
And memory, also there is certain image-capable.Edge device can also be to be taken by the center control in wireless network and cloud
The mobile device of business device connection, battery contain limited electricity.The parameter of these hardware resources can be carried out combining.
Further alternative, the step for the first hardware resource index set that the required by task is wanted is completed in the estimation of this step
Suddenly, it may is that the minimum hardware resource that the required by task is wanted is completed in estimation, and these hardware resource parameters formed first
Hardware resource index set；Either the optimal hardware resource that the required by task is wanted is completed in estimation, and these hardware are provided
Source parameter forms the first hardware resource index set.The present invention preferably estimates optimal hardware resource combination, subsequent each in this way
When the node processing task of a edge device, can efficiently it complete.
103, the second hardware resource index set of each edge device current residual is obtained, and refer to the first hardware resource
Mark set is compared, to determine the edge device for being most suitable for the processing task, most suitable edge device if it does not exist, then
It determines and the task is handled by the central control server.
Specifically, the first hardware resource index set includes at least CPU parameter, memory parameters and GPU parameter；Second hardware
Resource metrics set includes at least CPU parameter, memory parameters, GPU parameter and electricity residue percentage parameter.
In this step, the edge device list in the system is obtained, and by the second of each edge device current residual
Hardware resource index set is seriatim compared with the first hardware resource index set, until finding the second hardware resource index
Set is better than the edge device of the first hardware resource index set, if it does not exist, it is determined that be handled by central control server
Task.In its specific comparative approach, most for the electricity residue percentage parameter setting one in the second hardware resource index set
Lower limit value；For the different comparison weight of CPU parameter, memory parameters, GPU parameter setting, and the comparison weight highest of memory parameters,
The comparison weight of GPU parameter is minimum.Generally, the second hardware resource index set is better than the side of the first hardware resource index set
Edge equipment, electricity residue percentage parameter are not less than minimum limit value 50%, and memory parameters are higher than the first hardware resource index
The memory parameters of set, CPU parameter and GPU parameter are differed with the CPU parameter of the first hardware resource index set and GPU parameter
No more than 20%.
104, by task and data resource be sent to most suitable processing task edge device or central control server into
Row processing, and complete task.
Referring to fig. 2, in an application scenarios, a kind of resource regulating method based on edge calculations is provided, comprising:
201, the data resource that cloud (central control server) is wanted according to required by task to be done is sent to be done
For task task to the node Node (edge devices of any acquisition data) for having the data resource, node Node receives cloud hair
The task task sent；
202, the first hardware resource index set W1 that the required by task is wanted is completed in estimation, that is, completes what the required by task was wanted
Best hardware configuration, including required CPU, memory, GPU；
The second hardware resource index set W2 of 203, calculate node Node, including CPU, memory, GPU, battery capacity；Its
In, each parameter includes:
CPU: Thread Count, dominant frequency, operating voltage
Memory: free memory capacity (MB).
GPU: core frequency, video memory
Battery capacity: since there may be mobile devices for edge device, the surplus of current device is considered in task processing
Remaining electricity is judged as, this node cannot handle task task if electricity is lower than 50%；
204, compare W1, W2, first compares memory and then compare CPU, finally compare GPU, the memory value of W2 has to be higher than
The memory value of W1, CPU, GPU performance of W2 are differed with CPU, GPU performance of W1 no more than 20%.
If W2 is better than W1, node Node can handle task task.If W2 inadequate resource, judges adjacent node
Whether the hardware load coefficient set Wi (i=1,2,3 ...) of Node (i) (i=1,2,3 ...) is better than W1, and Node's (j) is hard if it exists
Part load coefficient collection Wj is better than W1, then can handle task task with the node, node Node send pending data to
Node (j) allows Node (j) to complete task task；If the node better than W1 is not present in adjacent all nodes, data are sent
To cloud, task task is completed to cloud.
In Fig. 3, a kind of resource scheduling device based on edge calculations, comprising:
Task creation module, to the data resource acquired according to any edge equipment, creation and the data resource pair
The task to be processed answered.
Hardware resource estimation block, to estimate the first hardware resource index set completing the required by task and wanting.
Hardware resource comparison module, to obtain the second hardware resource index set of each edge device current residual,
And be compared with the first hardware resource index set, to determine the edge device for being most suitable for the processing task, if not
There are most suitable edge devices, it is determined that handles the task by the central control server.
Data transmission module, the edge the task and the data resource are sent to most suitable processing task are set
The standby or described central control server, so that the edge device or central control server of the most suitable processing task complete institute
State task；And
Data processing module, to handle the task.
Specifically, the hardware resource estimation block in the present embodiment, to estimate that completing the required by task wants minimum
Hardware resource, and by these hardware resource parameters form the first hardware resource index set；Or to estimate described in completion
The optimal hardware resource that required by task is wanted, and these hardware resource parameters are formed into the first hardware resource index set.
Specifically, the hardware resource comparison module in the present embodiment, to obtain edge device list, and by each edge
Second hardware resource index set of equipment current residual is seriatim compared with the first hardware resource index set, directly
To edge device of the second hardware resource index set better than the first hardware resource index set is found, if it does not exist, it is determined that
To handle task by central control server.
The present invention further correspondingly provides a kind of edge calculations system, including the center control communicated that is connected by bus
Control server and at least two edge of table equipment；Central control server and any edge equipment include above-mentioned based on edge
The resource scheduling device of calculation.
Resource regulating method provided by the invention based on edge calculations, apparatus and system, are adopted according to any edge equipment
The data resource of collection creates task to be processed, and the hardware resource that the required by task is wanted is completed in estimation, and from all edge devices
One optimum of middle selection completes the node of the task, or handles task by central control server, and this makes it possible to have
Effect ground avoids the wasting of resources, effectively improves data-handling efficiency using the resource of each edge device in Internet of Things.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (10)
1. a kind of resource regulating method based on edge calculations, which is characterized in that the method is applied to an edge computing system,
The system comprises pass through the connected central control server communicated of bus and at least two edge of table equipment；The method
Suitable for central control server or any edge equipment, the method includes the steps:
According to the data resource that any edge equipment acquires, task to be processed corresponding with the data resource is created；
The first hardware resource index set that the required by task is wanted is completed in estimation；
Obtain the second hardware resource index set of each edge device current residual, and with the first hardware resource index set
Conjunction is compared, and the edge device of the processing task is most suitable for determination, if it does not exist most suitable edge device, it is determined that
The task is handled by the central control server；
The task and the data resource are sent to the edge device of most suitable processing task or the center control services
Device, and complete the task.
2. the resource regulating method according to claim 1 based on edge calculations, which is characterized in that institute is completed in the estimation
The step of stating the first hardware resource index set that required by task is wanted, comprising:
The minimum hardware resource that the required by task is wanted is completed in estimation, and these hardware resource parameters are formed the first hardware money
Source index set；Or
The optimal hardware resource that the required by task is wanted is completed in estimation, and these hardware resource parameters are formed the first hardware money
Source index set.
3. the resource regulating method according to claim 1 or 2 based on edge calculations, which is characterized in that described first is hard
Part resource metrics set includes at least CPU parameter, memory parameters and GPU parameter；The second hardware resource index set is at least
Including CPU parameter, memory parameters, GPU parameter and electricity residue percentage parameter.
4. the resource regulating method according to claim 3 based on edge calculations, which is characterized in that described to obtain each side
Second hardware resource index set of edge equipment current residual, and be compared with the first hardware resource index set, with
Determine the edge device for being most suitable for the processing task, if it does not exist most suitable edge device, it is determined that controlled by the center
Control server handles the step of task, specifically includes:
Obtain the edge device list in the system, and by the second hardware resource index set of each edge device current residual
Conjunction is seriatim compared with the first hardware resource index set, until finding the second hardware resource index set better than the
The edge device of one hardware resource index set, if it does not exist, it is determined that handle task by central control server.
5. the resource regulating method according to claim 4 based on edge calculations, which is characterized in that the described method includes:
Second hardware resource index set of each edge device current residual is seriatim compared with first hardware resource
When, it is the minimum limit value of electricity residue percentage parameter setting one in the second hardware resource index set；For CPU ginseng
The different comparison weight of several, the described memory parameters, the GPU parameter setting, and the comparison weight highest of the memory parameters, institute
The comparison weight for stating GPU parameter is minimum.
6. the resource regulating method according to claim 5 based on edge calculations, which is characterized in that the second hardware resource refers to
Mark set is better than the edge device of the first hardware resource index set, and electricity residue percentage parameter is not less than minimum limit value
50%, memory parameters are higher than the memory parameters of the first hardware resource index set, CPU parameter and GPU parameter and first firmly
CPU parameter and GPU the parameter difference of part resource metrics set are no more than 20%.
7. a kind of resource scheduling device based on edge calculations, which is characterized in that described device includes:
Task creation module creates corresponding with the data resource to the data resource acquired according to any edge equipment
Task to be processed；
Hardware resource estimation block, to estimate the first hardware resource index set completing the required by task and wanting；
Hardware resource comparison module, to obtain the second hardware resource index set of each edge device current residual, and with
The first hardware resource index set is compared, to determine the edge device for being most suitable for the processing task, if it does not exist
Most suitable edge device, it is determined that the task is handled by the central control server；
Data transmission module, to the task and the data resource are sent to most suitable processing task edge device or
The central control server, so that the edge device or central control server of the most suitable processing task complete described appoint
Business；And
Data processing module, to handle the task.
8. the resource scheduling device according to claim 7 based on edge calculations, which is characterized in that the hardware resource is estimated
Module is calculated, to estimate the minimum hardware resource completing the required by task and wanting, and by these hardware resource parameters composition the
One hardware resource index set；Or to estimate the optimal hardware resource completing the required by task and wanting, and these are hard
Part resource parameters form the first hardware resource index set.
9. the resource scheduling device according to claim 8 based on edge calculations, which is characterized in that the hardware resource ratio
Compared with module, to obtain edge device list, and by the second hardware resource index set of each edge device current residual by
One ground is compared with the first hardware resource index set, hard better than first until finding the second hardware resource index set
The edge device of part resource metrics set, if it does not exist, it is determined that handle task by central control server.
10. a kind of edge calculations system, which is characterized in that including passing through the connected central control server communicated of bus
At least two edge of table equipment；The central control server and any edge device include the money based on edge calculations
Source dispatching device, it is described described in any item based on edge for claim 7 to 9 by the resource scheduling device of edge calculations
The resource scheduling device of calculation.
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