CN107846704A - A kind of resource allocation and base station service arrangement method based on mobile edge calculations - Google Patents
A kind of resource allocation and base station service arrangement method based on mobile edge calculations Download PDFInfo
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- CN107846704A CN107846704A CN201711011550.3A CN201711011550A CN107846704A CN 107846704 A CN107846704 A CN 107846704A CN 201711011550 A CN201711011550 A CN 201711011550A CN 107846704 A CN107846704 A CN 107846704A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0215—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices
- H04W28/0221—Traffic management, e.g. flow control or congestion control based on user or device properties, e.g. MTC-capable devices power availability or consumption
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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
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
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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
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching
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Abstract
The invention discloses a kind of resource allocation based on mobile edge calculations and base station service arrangement method, this method to include：When detect have calculating task in mobile terminal when, to intelligent base station send computation migration request；When lacking the calculating data of required by task contained by the request in the buffer unit of base station, to task data demand needed for network side transmission；Receive the required task data of network side return；According to the required task data received, propagation delay time and calculation delay are calculated, and then draws transmission energy consumption and calculates energy consumption；Computation migration ratio judgement matrix is obtained according to the time delay income and energy consumption income；Matrix is adjudicated according to computation migration ratio and carries out computation migration.The base station service arrangement scheme includes buffer unit, computing unit, obtains processing unit, transmitting element, can provide computing capability and data caching capabilities.Therefore, the method for the resource allocation based on MEC and base station service arrangement scheme, it can realize that terminal multitask, base station be multi-functional, the computation migration of target diversification.
Description
Technical field
The present invention relates to field of mobile computing, is related to a kind of resource allocation based on mobile edge calculations and base station clothes
Business dispositions method, more particularly to a kind of multi-mobile-terminal based on MEC and single intelligence under the conditions of time delay and energy consumption combined optimization
The method and base station service arrangement of resource allocation between energy base station.
Background technology
In recent years, mobile Internet and Internet of Things were quickly grown, the use of smart mobile phone is more and more common, function progressively
Strengthen, its function has also been not limited solely to the communications field, but as people's mobile entertainment, office, reading, calculate it is strong
Larger vector, therefore, the various high complicated processes dependent on terminal that third party provides, start largely to apply in mobile computing.
However, due to this kind of new business be typical high complexity, high consumption application, energy resource and calculating to smart machine
Resource brings great challenge, while higher demand is also proposed to network bandwidth and service response.
Challenged more than, cloud computing is considered as the most promising method for solving resource constraint.Service provider's handle
Special services are deployed in cloud, and mobile terminal sends calculating task to service, and service completes that result is sent back into terminal after computing,
And store necessary data beyond the clouds, the data that aid in treatment mobile terminal can not handle or can not store are come with this, alleviates and moves
The calculating pressure of dynamic terminal, the service time of battery of extension device.However, cloud computing but have one it is apparent also particularly important
Shortcoming, apart from terminal user farther out, user message needs to reach by some jumps core net, and this just inevitably makes
Into larger delay, and larger delay can influence the experience of user, while central site network load can be significantly greatly increased.
In order to improve the limitation of the time delay of cloud computing, it is proposed that movement edge calculations (Mobile Edge Computation,
MEC concept), MEC merge Mobile Access Network with Internet service, wireless access network is had low time delay, the biography of high bandwidth
Movement Capabilities；Calculating is sunk to by mobile fringe node by MEC servers, network load can be effectively reduced and network is returned
The demand of bandwidth, reduce service response time delay.When service entities are located at intelligent base station, it is complicated that wired domain can be neglected
The data interaction of network node, base station and terminal room need to can only be completed by being wirelessly transferred for uplink and downlink.Therefore, intelligence
Base station can realize quick, sensitive " end --- base station " interaction, and the user's body that can greatly improve delay sensitive class business is checked the quality
Amount.
During the present invention is realized, the inventors discovered that problems with the prior art be present：In the prior art, may be used
To divide mobile edge calculations application by task type, and mobile edge calculations application is deployed on intelligent base station, accesses intelligence
The mobile terminal of energy base station can only use the mobile edge calculations application for the type disposed on the base station, if some type of movement
Edge calculations are applied does not dispose in the base station, then terminal can not use the mobile edge calculations application of these types, therefore, eventually
The mobile edge calculations application used is held to be limited by the mobile edge calculations application type that base station itself is disposed.This is caused
The waste of resource, the advantage of mobile edge calculations also do not embody completely.
The content of the invention
(1) technical problems to be solved
The technical problem to be solved in the present invention is：The method and base station service arrangement scheme of a kind of resource allocation are provided, used
To solve in the prior art, because mobile edge calculations application is all deployed on intelligent base station, to move workable for mobile terminal
Edge calculations application can be limited by the mobile edge calculations application type that intelligent base station itself is installed, and can not cooperate with excellent
The problem of changing calculation delay and terminal energy consumption.
(2) technical scheme
In order to solve the above technical problems, in a first aspect, the invention provides a kind of resource allocation methods, including step：
Step 1：When detect have calculating task in mobile terminal when, to intelligent base station send computation migration request；
Step 2：When lacking the calculating data of required by task contained by the request in the buffer unit of base station, to network side
Task data demand needed for transmission；
Step 3：Receive the required task data of network side return；
Step 4：According to the required task data received, propagation delay time and calculation delay are calculated, and then draw transmission energy
Consumption and calculating energy consumption；Computation migration ratio judgement matrix is obtained according to the time delay income and energy consumption income；
Step 5：Matrix is adjudicated according to computation migration ratio and carries out computation migration；
In certain embodiments of the present invention, the application for operating in all M terminals is made up of F kind tasks, F=<
c1,d1>,<c2,d2>,…,<cf,df>, wherein c, d represent calculating and the data of certain required by task respectively.With X={ x1,
x2,…,xfRepresenting whether the data needed for certain calculating task cache in intelligent base station, x is binary amount, is represented with 0,1,
0 expression data do not cache, and 1 represents to cache.
In certain embodiments of the present invention, the step 2 includes：Judge data needed for the application that terminal is asked
Whether cached in intelligent base station,
If djIt is uncached, then send request of data to core net and obtain required by task data, bring extra latency.
WithThe data of required by task included in the application of expression terminal i are uncached and bring extra
Time delay：
Wherein,
pijRequest ratios of the GC group connector i to task j；
λiGC group connector i request rate, it is considered herein that the request for coming from each terminal is a Poisson process；
Representative, which has, calculates data djCore net and intelligent base station between unit time delay；
hreqAnd hresThe length of request message and response message is represented respectively；
If djIt has been cached that, then carry out next step.
In certain embodiments of the present invention, the time delay of terminal i is：
Propagation delay time is：
Wherein,
Calculation delay is：
Wherein,
yijTask j moves to the ratio of intelligent base station in GC group connector i；
Tcomp_bRepresent the unit calculation delay of intelligent base station；
GC group connector i unit calculation delay；
Overall time delay is
In certain embodiments of the present invention, the energy consumption of terminal i is：
Launching energy consumption is：
Wherein：
For the transmission power of terminal i in the unit time；
Calculating energy consumption is：
Wherein：
For the power consumption of CPU in the unit time；
fiFor the cpu frequency of terminal；
Overall energy consumption is
In certain embodiments of the present invention, the MEC servers obtain according to the energy consumption income and delay income
Computation migration judgement matrix include：
The energy consumption income and delay income sent according to each mobile terminal, specifies feasible zone；
According to energy consumption income, delay income and feasible zone, experience utility function is established；
In certain embodiments of the present invention, the step 5 includes：When experiencing utility function F acquirement maximums,
According to yijThe value of judgement matrix determines which of mobile terminal application task should migrate and migrate the ratio of task.
Second aspect, the present invention provide a kind of base station deployment scheme, and wherein base station deployment scheme includes：
Buffer unit, for the data as needed for task type caching calculating, high frequency task data is cached, reduction pair
Core network data accesses；
Computing unit, for calculating the calculating task to come from mobile terminal migration；
Processing unit is obtained, the service request of mobile terminal is come from for receiving and determines data corresponding to the business
Whether cache, the computing unit is directly entered if data have cached and is calculated, it is single that the transmission is given if data are uncached
Member；Or the calculating task data needed for being received from core net；
Transmitting element, for being judged according to acquisition processing unit in the buffer unit not comprising right in the service request
During the data answered, send uncached task data to core net and ask；Or send the service request meter to mobile terminal
Calculate result；
(3) beneficial effect
A kind of method of base station service arrangement scheme and resource allocation provided in an embodiment of the present invention, and in the prior art,
Because mobile edge calculations application is all deployed on intelligent base station, mobile edge calculations application workable for mobile terminal can be by
The limitation of the mobile edge calculations application type of intelligent base station itself installation, effect is poor, deployment flexibility ratio is not high, and can not
Collaboration optimization calculation delay is compared with the problem of terminal energy consumption, in the embodiment of the present invention, mobile edge calculations is applied and press task
Divide and high frequency required by task data are cached in intelligent base station, after the task requests that intelligent base station receives terminal transmission,
Judge whether required by task data have cached in intelligent base station, uncached calculating need to be only obtained from core net destination server
Data, improve the flexibility ratio of intelligent base station, and then improve business processing efficiency.The maximum of experience utility function is calculated,
Computation migration ratio judgement matrix is obtained, can not only reduce the processing time of task significantly but also can drop to greatest extent
The energy consumption of low mobile device.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is that a kind of resource allocation methods in MEC provided by the invention realize block diagram.
Fig. 2 is a kind of flow chart of resource allocation methods in MEC provided by the invention.
Fig. 3 is a kind of base station deployment schematic structure diagram in MEC provided by the invention.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
As shown in figure 1, realize block diagram according to a kind of resource allocation methods of the invention.Mobile terminal includes three moulds
Block, sending module：When terminal has calculating task, computation migration request is initiated to intelligent base station；Receiving module：Receive intelligent base
The computation migration returned of standing adjudicates matrix；Computing module：Local computing task is performed according to judgement matrix.Disposed in intelligent base station
Mobile edge calculations server, energy consumption gain and time delay gain are calculated, draw judgement matrix when experience function takes maximum.
Server storage in core net terminal calculate needed for data, when in intelligent base station without storage calculate needed for data when,
Server that can be into core net sends out acquisition request data.
A kind of as shown in Fig. 2 base station deployment schematic structure diagram according to the present invention.Base station includes four units：At acquisition
Unit 201 is managed, the service request of mobile terminal is come from for receiving and determines whether data cache corresponding to the business, if
Data have cached, and are directly entered the computing unit and calculate, the transmitting element is given if data are uncached；Or from core
Heart net receives required calculating task data；Buffer unit 202, for the data as needed for task type caching calculating, high frequency
Task data is cached, and reduces and core network data is accessed；Computing unit 203, for calculating from mobile terminal migration
Calculating task；Transmitting element 204, for judging that not including the business in the buffer unit asks according to acquisition processing unit
In asking during corresponding data, send uncached task data to core net and ask；Or send the business to mobile terminal
Ask result of calculation.
Fig. 3 is a kind of flow chart of resource allocation methods in MEC proposed by the present invention.A kind of resource proposed by the present invention
Distribution method includes following steps：
Step 301：When detect have calculating task in mobile terminal when, to intelligent base station send computation migration request；
As embodiment, it is necessary to by run on mobile terminals be divided into by F=<c1,d1>,<c2,d2>,…,
<cf,df>Individual data set composition, for jth group data, djAnd cjRespectively represent jth kind calculating task needed for amount of calculation and
Data volume.
Step 302：When lacking the calculating data of required by task contained by the request in the buffer unit of base station, to network side
Task data demand needed for transmission；
As embodiment, intelligent base station judges whether need according to the data needed for asking whether are contained in buffer unit
Request of data is sent to network side.With vector X={ x1,x2,…,xfRepresent whether task data caches, wherein, xj
Represent whether intelligent base station has cached the data needed for jth kind calculating task, be a binary amount, represented with 0,1,0 represents number
According to not caching, 1 represents to cache.
Step 303：Receive the required task data of network side return；
Step 304：According to the required task data received, propagation delay time and calculation delay are calculated, and then draw transmission
Energy consumption and calculating energy consumption；Computation migration ratio judgement matrix is obtained according to the time delay income and energy consumption income；
As embodiment, for the computation migration of the application run in a terminal, the calculating time includes transmitting procedure
In the time delay that calculates of the time delay brought and operation.
During computation migration, propagation delay time is primarily present between mobile terminal and intelligent base station, if calculating data
It is uncached, be also stored in intelligent base station and store calculate needed for data server between.Herein, h is usedreqAnd hresTable respectively
Show request message and response message length, it is considered herein that the request for coming from each terminal is a Poisson process, λiRepresent
The request rate of terminal i；pijRequest ratios of the GC group connector i to task j, and meetCome for different terminals
Say, the ratio can be different；Representative, which has, calculates data djCore net in unit between server and intelligent base station when
Prolong；hreqAnd hresThe length of request message and response message is represented respectively；It can represent as follows for the propagation delay time of terminal i：
During computation migration, the calculating time includes mobile terminal and calculates time and intelligent base station calculating time.
Intelligent base station uses computation migration judgement matrix Y=(yij)M×FCalculating to manage between mobile terminal and intelligent base station is moved
Move, wherein yijTask j moves to the ratio of intelligent base station calculating in (1≤i≤M, 1≤j≤F) GC group connector i.With μ tables
Show the service speed of intelligent base station, the service speed of terminal i is represented with θ i, according to queueing theory, it can be deduced that intelligent base station
Unit calculation delayThe unit calculation delay of terminalWherein yijpijλicjTask j migrations in GC group connector i
The request rate performed to intelligent base station, (1-yij)pijλicjThe request rate that task j in GC group connector i is locally executed.For end
End i calculation delay can represent as follows：
For terminal i, overall delayTherefore the overall delay of system covers equal to base station
In the range of all base station time delay sums, can be expressed as：
As embodiment, calculating task does not migrate, the unit calculation delay of terminal
Locally execute the required time：
As embodiment, for the computation migration of the application run in a terminal, calculating energy consumption includes transmitting procedure
In the energy consumption that calculates of the transmission energy consumption brought and operation.
For calculating energy consumption, energy consumption is as caused by being run cpu process, uses fiThe CPU speed of GC group connector, it is single
Position is cycle/s,The power consumption of CPU in the unit interval is represented, the calculating energy consumption of terminal i can be determined with equation below：
WithThe transmission power of terminal i in the unit interval is represented, the transmitting energy consumption of terminal i can be expressed as：
For terminal i, total energy consumptionTherefore the total energy consumption of system covers equal to base station
In the range of all base station energy consumption sums, can be expressed as：
As embodiment, calculating task does not migrate, the unit calculation delay of terminal
Locally execute required energy consumption：
As embodiment, the MEC servers are according to the energy consumption income Δ E=Eloc- E and delay income Δ T=Tloc-
T, according to energy consumption income, delay income and feasible zone, establish experience utility function；
Step 305：Matrix is adjudicated according to computation migration ratio and carries out computation migration；
As embodiment, when experiencing utility function F acquirement maximums, according to yijThe value for adjudicating matrix determines mobile terminal
Using which of task should migrate and migrate the ratio of task.
In summary, a kind of method of base station service arrangement scheme and resource allocation provided by the invention, is creatively adopted
With experience utility function, by response delay and the combined optimization scheme of calculating energy consumption, the basis for taking full advantage of network is set
Apply and computing resource, can not only reduce the processing time of task significantly, the energy of mobile device can also be reduced to greatest extent
Consumption；Moreover, the different task applied according to user, the ability migrated by task immigration, in proportion is provided for terminal so that migration
It is more flexible；At the same time, intelligent base station receive terminal transmission task requests after, judge required by task data whether
Cached in intelligent base station, uncached calculating data need to be only obtained from core net, improved the flexibility ratio of intelligent base station, and then
Improve business processing efficiency；Finally, the whole described method based on MEC base stations service arrangement scheme and resource allocation is tight
Gather, be easily controllable, there is extensive, great dissemination.
Embodiment of above is merely to illustrate the present invention, and not limitation of the present invention, about the common of technical field
Technical staff, without departing from the spirit and scope of the present invention, it can also make a variety of changes and modification, thus it is all
Equivalent technical scheme falls within scope of the invention, and scope of patent protection of the invention should be defined by the claims.
Claims (10)
1. a kind of resource allocation and base station service arrangement method based on mobile edge calculations, go it is characterized in that, this method includes
Following steps：
Step 301：When detect have calculating task in mobile terminal when, to intelligent base station send computation migration request；
Step 302：When lacking the calculating data of required by task contained by the request in the buffer unit of base station, sent to network side
Required task data demand；
Step 303：Receive the required task data of network side return；
Step 304：According to the required task data received, propagation delay time and calculation delay are calculated, and then draw transmission energy consumption
With calculating energy consumption；Computation migration ratio judgement matrix is obtained according to the time delay income and energy consumption income；
Step 305：Matrix is adjudicated according to computation migration ratio and carries out computation migration.
2. according to the method for claim 1, it is characterised in that the computation migration of the application to being run in a terminal is come
Say, the time delay that the time delay that calculating the time includes bringing in transmitting procedure calculates with operation.
Propagation delay time is primarily present between mobile terminal and intelligent base station, if calculating data are uncached, is also stored in and intelligent base
Stand and store calculate needed for data server between.Herein, h is usedreqAnd hresRequest message and response message are represented respectively
Length, it is considered herein that the request for coming from each terminal is a Poisson process, λiGC group connector i request rate；pijRepresent
Request ratio of the terminal i to task j, and meetFor different terminals, the ratio can be different；Representative, which has, calculates data djCore net in unit time delay between server and intelligent base station；hreqAnd hresRepresent respectively
The length of request message and response message；It can represent as follows for the propagation delay time of terminal i：
Calculating the time includes mobile terminal calculating time and intelligent base station calculating time.Intelligent base station uses computation migration judgement square
Battle array Y=(yij)M×FTo manage the computation migration between mobile terminal and intelligent base station, wherein yij(1≤i≤M, 1≤j≤F) is represented
Task j moves to the ratio of intelligent base station calculating in terminal i.The service speed of intelligent base station is represented with μ, uses θiRepresent terminal i
Service speed, can represent as follows for the calculation delay of terminal i：
3. according to the method for claim 2, it is characterised in that overall delay Therefore system
Overall delay is equal to all base station time delay sums in base station range, can be expressed as：
4. according to the method for claim 3, it is characterised in that calculating task does not migrate, the unit calculation delay of terminalLocally execute the required time：
5. according to the method for claim 4, it is characterised in that the computation migration of the application to being run in a terminal is come
Say, calculating energy consumption includes the energy consumption of the transmission energy consumption and operation calculating brought in transmitting procedure.
For calculating energy consumption, energy consumption is as caused by being run cpu process, uses fiThe CPU speed of GC group connector, unit are
Cycle/s,The power consumption of CPU in the unit interval is represented,Represent the transmission power of terminal i in the unit interval, terminal i
Calculating energy consumption can be determined with equation below：
The transmitting energy consumption of terminal i can be expressed as：
6. according to the method for claim 5, it is characterised in that for terminal i, total energy consumption
Therefore the total energy consumption of system is equal to all base station energy consumption sums in base station range, can be expressed as：
7. according to the method for claim 6, it is characterised in that calculating task does not migrate, and locally executes required energy consumption：
8. according to the method for claim 7, it is characterised in that the MEC servers are according to the energy consumption income Δ E=
Eloc- E and delay income Δ T=Tloc- T, according to energy consumption income, delay income and feasible zone, establish experience utility function；
s.t.
9. a kind of base station deployment scheme, it is characterised in that the base station includes：
Buffer unit, for the data as needed for task type caching calculating；
Computing unit, for calculating the calculating task to come from mobile terminal migration；
Processing unit is obtained, the service request of mobile terminal is come from for receiving, or required calculating is received from core net
Task data；
Transmitting element, send uncached task data to core net and ask；Or send the service request to mobile terminal
Result of calculation.
10. according to the method described in claim 1 to 9 any one, it is characterised in that mobile whole according to migration decision message
End carries out computation migration operation.
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