CN110430591A - Base band resource pool intelligent deployment and reconstructing method - Google Patents
Base band resource pool intelligent deployment and reconstructing method Download PDFInfo
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- CN110430591A CN110430591A CN201910810868.0A CN201910810868A CN110430591A CN 110430591 A CN110430591 A CN 110430591A CN 201910810868 A CN201910810868 A CN 201910810868A CN 110430591 A CN110430591 A CN 110430591A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5041—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
- H04L41/5048—Automatic or semi-automatic definitions, e.g. definition templates
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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Abstract
The intelligent deployment and reconstructing method of a kind of base band resource pool disclosed by the invention, it is desirable to provide a kind of quickly and efficiently self-adjusted block software and hardware resources, the method for completing cross-platform base band resource pool deployment and reconstruct.The technical scheme is that: distributed base band resource pool processing system is formed by optical fiber/Ethernet/cable bond between multiple cabinet/boards；Base band resource pool processing system provide it is a set of can layout task template and a set of editable resource pool logical device library；Base band resource pool receives assignment instructions, and it is resource matched to complete corresponding soft and hardware in task template, logical device library, generates a set of resource deployment scheme and several optinal plans and corresponding evaluation parameter, user can intervene selection；Resource pool completes the load of application function component according to deployment scheme；When task, resource change or platform breaks down, system self-adaption calls reconstruction strategy, and reconstruction strategy is open editable script, can dynamic on-demand update.
Description
Technical field
The synthesization electronic information in the fields such as the present invention relates to a kind of for communicating, observing and controlling, can be according to function and money
Source variation, quickly and efficiently distributes software and hardware resources automatically, completes the intelligent deployment of cross-platform base band resource pool software and hardware configuration
With reconstruct.
Background technique
Base band resource pool deployment and reconstruct are substantially how to solve the problems, such as the dynamic configuration of cross platform system resource.By one
A flogic system is mapped to actual physical system there are a variety of mapping modes, and this mapping process need to comprehensively consider a series of system
System demand and limitation, such as real time problems, memory problem, communication issue；On the other hand soft or hard due to the switching of load function
System reconfiguration caused by part failure, remapping procedures also have great diversity and uncertainty.Currently, it is provided for base band
The deployment in source pond and reconstructing method mostly use static configuration mode, reconstruction strategy and mapping relations to advise in advance before system operation
Fan Hao, with the continuous increase of system scale, the mapping process of flogic system to actual physical system will become to become increasingly complex,
Especially to integrated electronics integrated system that is open, can growing up, when new function or resource are added to system, standardize in advance
The configuration mode of good strategy and mapping relations cannot quickly adapt to this variation.Therefore, a kind of new base band money need to be studied
The deployment of source pond and reconstructing method, can rapidly adapt to the variation of cross platform system function, resource, make to change the influence for generating system
It is preferably minimized.
Summary of the invention
The purpose of the present invention is can only realize deployment and reconstructing method based on preset configuration library for existing base band resource pool
Deficiency, providing one kind can change according to functional requirement and equipment available resources, and quickly and efficiently self-adjusted block software and hardware provides
Deployment and the reconstructing method of cross-platform base band resource pool are completed in source.
Above-mentioned purpose of the invention can be reached by following measures: a kind of intelligent deployment of base band resource pool and reconstruct side
Method has following technical characteristic: passing through optical fiber/Ethernet/cable bond composition distribution between multiple base band resource pool cabinet/boards
More computing resources, the base band resource pool processing system of process resource of formula, provide it is a set of can layout task template and it is a set of can
The resource pool logical device library of editor；Base band resource pool receives assignment instructions, and corresponding instruction, resource are adapted in task template
Chi Luojishebeiku matches corresponding hardware resource according to the input data of task template, and completion soft and hardware is resource matched, generates
A set of resource deployment scheme and several optinal plans and corresponding evaluation parameter, deployment scheme user can intervene selection；Resource pool
According to resource deployment view, arrangements, the load of application function component is completed, realizes platform logic system to actual physical system
Mapping, completes the configuration of cross-platform base band resource pool and the intelligent reconstruction of base band resource pool and deployment.
The present invention has the following beneficial effects: compared with the prior art
The present invention uses the hardware environment interconnected between cabinet/board by optical fiber/Ethernet/cable realization, utilizes multiple cabinets
Form distributed base-band resource processing pond, processing pond include multiclass process resource (general processor PowerPC, ZYNQ, FPGA,
The resources such as DSP), each cabinet can independent bearing functional application, also can mutually coordinated complete functional application realization.System can
Change according to demand with equipment available resources, quickly and efficiently distributes software and hardware resources automatically, complete cross-platform base band resource pool
The deployment of configuration promotes resource utilization and reduces construction and O&M cost.
The present invention inputs in resource pool logical device library according to the application data of task template, completes soft and hardware resource
Matching, generates a set of resource deployment scheme and several optinal plans and corresponding evaluation parameter, deployment scheme user can intervene choosing
It selects, resource pool realizes the mapping of platform logic system to actual physical system according to the selection of deployment scheme, completes functional application
Load.Final quickly and efficiently self-adjusted block software and hardware resources, complete the deployment and reconstruct of cross-platform base band resource pool.Test
The result shows that baseband board card after virtualization reconstitution time, classical data transmission time delay and in terms of mention
It rises.
Resource pool logical device of the present invention library matches corresponding hardware resource according to the input data of task template, complete it is soft,
Hardware resource matching, generates a set of resource deployment scheme and several optinal plans and corresponding evaluation parameter, at base band resource pool
Reason system by it is a set of can layout task template, enhance resource pool system to the centralized management ability of functional application.Overcome
The problems such as prior art ground installation hardware configuration is huge, and versatility and resource distribution are lower.
Detailed description of the invention
Fig. 1 is distributed base band resource pool cabinet network diagram of the invention.
Fig. 2 is the intelligent deployment flow diagram of base band resource pool of the present invention.
Fig. 3 is Fig. 1 base band resource pool base band resource pool cabinet processing circuit schematic diagram.
Fig. 4 is the intelligent reconstruction flow diagram of base band resource pool of the present invention.
Invention will be further explained below with reference to the drawings and examples..
Specific embodiment
Refering to fig. 1, Fig. 2.According to the present invention, pass through optical fiber/Ethernet/cable between multiple base band resource pool cabinet/boards
Interconnected set at distributed more computing resources, the base band resource pool processing system of process resource, provide it is a set of can layout task
Template and a set of editable resource pool logical device library；Base band resource pool receives assignment instructions, the adaptation pair in task template
The instruction answered, resource pool logical device library match corresponding hardware resource according to the input data of task template, complete soft and hardware
It is resource matched, generate a set of resource deployment scheme and several optinal plans and corresponding evaluation parameter；Resource pool is according to Resources Department
View, arrangements are affixed one's name to, user can intervene selection, complete the load of application function component, realize platform logic system to actual physical system
The configuration of cross-platform base band resource pool and the intelligent reconstruction of base band resource pool and deployment are completed in the mapping of system.
The distributed treatment pond that the hardware environment of base band resource pool is made of multiple base band resource pool cabinets, base-band resource
Interconnection is realized by optical fiber/Ethernet/cable between pond cabinet/board, each base band resource pool cabinet/board include ZYNQ, FPGA,
Multichannel digital signal handles the multiclass process resources such as DSP, passes through RapidIO bus between each ZYNQ, FPGA, DSP, PowerPC
It realizes interconnection, is realized and interconnected by kilomega network between each ZYNQ, PPC.Base band resource pool cabinet can independent bearing functional application, also may be used
Mutual coordinated completes the realization of functional application.
When task, resource change or platform breaks down, the reconstruct of base band resource pool processing system self-adapted call
Strategy is completed remapping and reloading for system according to the corresponding suitable resource of reconstruction strategy dynamic adaptation, and is reconstructed
Strategy is open editable script, can dynamic on-demand update.
Reconstruction strategy includes but is not limited to be based on weighted polling, random, Best-case Response Time, minimum number of concurrent, Hash etc.
The load balancing reconstruction strategy of algorithm, be based on linear regression, logistic regression, decision tree, random forest, Bayes, greedy algorithm,
The machine learning reconstruction strategy of simulated annealing scheduling algorithm and other strategies, base band resource pool processing system are reconstructed according to respective algorithms
The tactful suitable resource of dynamic adaptation completes remapping and reloading for system.
It is described can layout task template be used to input the composition of each application function component, port connection relationship, to hardware
The description of the demands such as resource memory, processing capacity, communication bandwidth, real-time；The logical device library is for enumerating resource pool
In each hardware the information such as type, storage capacity, communication capacity, arithmetic speed.
Refering to Fig. 3.Base band resource pool cabinet includes multiple signal processing moulds interconnected by RapidIO bus, Ethernet
Block and management control module, wherein signal processing module can be used based on analog-digital converter/digital analog converter AD/DA, Soc device
Part ZYNQ, on-site programmable gate array FPGA, digital signal processor DSP interconnection framework, management control module mainly by
PowerPC composition, management control module externally provides the interfaces such as debugging mouth, serial ports, network interface, each ZYNQ, FPGA in cabinet,
Interconnection is realized by RapidIO bus between DSP, PowerPC, is realized and is interconnected by kilomega network between each ZYNQ, PPC.Cabinet is external
There is provided includes but is not limited to the interfaces such as radio frequency, gigabit network interface, Wan Zhao, debugging, optical port.
In an alternate embodiment of the invention, by taking the smallest load-balancing method of resources occupation rate Root-mean-square deviation as an example, illustrate base
Reconstruct and deployment with resource pool.In the reconstruct and deployment of base band resource pool, base band resource pool machine is indicated with n=1,2 ..., N
Case number, the mark of different classes of resource is indicated with m=1,2 ..., M, wherein m=1 indicates DSP type resource, and m=2 is indicated
FPGA type resource, m=3 indicate PowerPC type resource, wnmThe total quantity for indicating m classification resource in cabinet n, is N × M with dimension
MatrixThe total duration set for indicating all kinds of resources in each cabinet, is N × M's with dimension
MatrixIndicate the occupancy duration set of all kinds of resources in each cabinet of current state, wherein dnmIt indicates
The occupancy of m classification resource, 0≤d in cabinet nnm≤wnm；The matrix for being N × M with dimensionTable
Show the occupancy set of all kinds of resources in each cabinet of current state, wherein lnmIndicate the occupancy of m class resource in cabinet n,The vector P for being 1 × M with dimension0=[p1 p2 ... pM] indicate that all kinds of resources of current state occupy in each cabinet
The average value set of rate, wherein pmIndicate the average value of current state m class resource occupancy in each cabinet,
Quantity t=1,2,3 ..., the T of building blocks of function, t building blocks of function com (1), com (2), com (3), com are indicated with t
(4) ..., com (t) composition applies S, and each building blocks of function only corresponds to a kind of hardware resource of classification, com (1), com (2),
Com (3), com (4) ..., hardware resource type, hardware resource external constraint corresponding to com (t) from task template it is known that with
R indicate matched in resource pool logical device library it is all can carrying apply S hardware resource deployment scheme numbers, r=1,2,
3 ..., R, the matrix for being R × T with dimensionIt indicates in each deployment scheme corresponding to each building blocks of function
Cabinet number, wherein zrtIt indicates in r kind deployment scheme, cabinet number corresponding to component com (t),
1≤zrt≤N；The matrix for being R × T with dimensionIndicate each function in each deployment scheme
Chip number of the component in cabinet corresponding to it, wherein zrt' indicate in r kind deployment scheme, component com (t) is in cabinet zrt
In chip number,
According to resource pool operating status, the occupied hardware number z of Current hardware resource involved in matrix Z'rt' delete
It removes, while deleting zrt' where row zr' and correlation matrix Z in zrRow, to guarantee all resources in matrix Z, Z' all
It is in idle condition.The vector Q for being 1 × M with dimensionr=[q1 q2 ... qM] indicate to be based on scheme zr、zr' all kinds of moneys after deployment
Root-mean-square deviation set of the source in occupancy and all kinds of resources of reset condition occupancy in each cabinet in each cabinet, wherein qm
It indicates to be based on scheme zr、zr' after deployment m class resource in each cabinet occupancy and reset condition m class resource in each cabinet
The Root-mean-square deviation of occupancy,Wherein l'nmIt indicates to be based on scheme zr、zr' after deployment in each cabinet
The occupancy set of all kinds of resources, PmIt indicates to be based on scheme zr、zr' the deployment preceding m class resource occupancy in each cabinet is averaged
Value.Define evaluation function f=MAX (Qr), the return value of function f is matrix QrIn maximum value
Appoint from matrix Z, Z' and takes a kind of deployment scheme: zr、zr', it calculates: zr、zr' all kinds of after representative deployment scheme deployment
The Root-mean-square deviation vector Q of resource occupancy and all kinds of resources of reset condition occupancy in each cabinet in each cabinetr=[q1
q2 ... qM], by QrBring evaluation function f=MAX (Q intor), then deployment scheme is taken from matrix Z, Z': zr+1、zr+1', it calculates
zr+1、zr+1' after representative deployment scheme deployment all kinds of resources in each cabinet occupancy with all kinds of resources of reset condition each
The Root-mean-square deviation vector Q of occupancy in cabinetr+1=[q1 q2 ... qM], by Qr+1Bring evaluation function f intor+1=MAX
(Qr+1).All deployment schemes, final function f are successively traversedrReturn value one corresponding deployment scheme of minimum is optimal portion
Management side case.
Refering to Fig. 4.Base band resource pool reconstruct is divided into task reconfiguration, change in resources reconstruct and failure reconfiguration three classes:
In task reconfiguration, base band resource pool receives task switching instruction, the corresponding application of task template adaptation instructions, resource pool
Reconstruction strategy is called, corresponding hardware resource is matched, regenerates a set of Resources Department according to the input of task template in logical device library
Management side case and several optinal plans and corresponding evaluation parameter, user can intervene selection, and resource pool is according to the choosing of deployment scheme
It selects, loads building blocks of function.Reconstruction strategy is open editable script, can dynamic on-demand update.
In change in resources reconstruct, when base band resource pool software and hardware resources function or quantity change, resource pool weight
New layout task template or adjustresources Chi Luojishebeiku, resource pool logical device library according to the input data of task template,
Self-adapted call reconstruction strategy matches corresponding hardware resource, regenerates a set of resource deployment scheme and several optinal plans, with
And corresponding evaluation parameter, user can intervene selection, resource pool loads building blocks of function according to the selection of deployment scheme.Reconstruction strategy
It, can dynamic on-demand update for the editable script of opening.
In failure reconfiguration, when base band resource pool computing resource breaks down, base band resource pool logical device library according to
The input data of task template, self-adapted call reconstruction strategy match corresponding hardware resource, regenerate a set of Resources Department's management side
Case and several optinal plans and corresponding evaluation parameter, user can intervene selection, and resource pool adds according to the selection of deployment scheme
Carry building blocks of function.Reconstruction strategy is open editable script, can dynamic on-demand update.
The embodiment of the present invention has been described in detail above, and specific embodiment used herein carries out the present invention
It illustrates, the above description of the embodiments is only used to help understand the method and apparatus of the present invention；Meanwhile for the one of this field
As technical staff, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, to sum up institute
It states, the contents of this specification are not to be construed as limiting the invention.
Claims (10)
1. the intelligent deployment and reconstructing method of a kind of base band resource pool, with following technical characteristic: multiple base band resource pool cabinets/
Distributed more computing resources are formed by optical fiber/Ethernet/cable bond between board, the base band resource pool of process resource is handled
System, provide it is a set of can layout task template and a set of editable resource pool logical device library；Base band resource pool, which receives, appoints
Business instruction is adapted to corresponding instruction, input data of the resource pool logical device library according to task template, matching in task template
Corresponding hardware resource, completion soft and hardware is resource matched, generates a set of resource deployment scheme and several optinal plans, and corresponding
Evaluation parameter, deployment scheme user can intervene selection；Resource pool completes application function component according to resource deployment view, arrangements
The mapping of platform logic system to actual physical system is realized in load, completes the configuration and base band money of cross-platform base band resource pool
The intelligent reconstruction in source pond and deployment.
2. the intelligent deployment and reconstructing method of base band resource pool as described in claim 1, it is characterised in that: each base band resource pool
Cabinet/board includes the multiclass process resources such as ZYNQ, on-site programmable gate array FPGA, multichannel digital signal processing DSP, base
Band resource pool cabinet can independent bearing functional application, also can mutually coordinated complete functional application realization.
3. the intelligent deployment and reconstructing method of base band resource pool as described in claim 1, it is characterised in that: when task, resource
It changes or when platform breaks down, base band resource pool processing system self-adapted call reconstruction strategy, according to corresponding reconstruct
The tactful suitable resource of dynamic adaptation completes remapping and reloading for system, and reconstruction strategy is open editable script,
It can dynamic on-demand update.
4. the intelligent deployment and reconstructing method of base band resource pool as claimed in claim 3, it is characterised in that: reconstruction strategy includes
Based on weighted polling, random, Best-case Response Time, minimum number of concurrent, the load balancing reconstruction strategy of hash algorithm, based on linear
Recurrence, logistic regression, decision tree, random forest, Bayes, greedy algorithm, simulated annealing machine learning reconstruction strategy
And other strategies.
5. the intelligent deployment and reconstructing method of base band resource pool as described in claim 1, it is characterised in that: base band resource pool machine
Case includes multiple signal processing module and management control module interconnected by RapidIO bus, Ethernet, wherein at signal
Module is managed to use based on analog-digital converter/digital analog converter AD/DA, Soc device ZYNQ, on-site programmable gate array FPGA, number
The framework of word signal processor DSP interconnection, management control module externally provide debugging mouth, serial ports and network interface.
6. the intelligent deployment and reconstructing method of base band resource pool as described in claim 1, it is characterised in that: use resources occupation rate
The smallest load-balancing method of Root-mean-square deviation illustrates base band resource pool reconstruct and deployment, indicates base band money with n=1,2 ..., N
Source pond cabinet number, the mark of different classes of resource is indicated with m=1,2 ..., M, wherein m=1 indicates DSP type resource, m=2
Indicate FPGA type resource, m=3 indicates PowerPC type resource, wnmThe total quantity for indicating m classification resource in cabinet n, is N with dimension
The matrix of × MThe total duration set for indicating all kinds of resources in each cabinet, is N × M with dimension
MatrixIndicate the occupancy duration set of all kinds of resources in each cabinet of current state, wherein dnm
Indicate the occupancy of m classification resource in cabinet n, 0≤dnm≤wnm；The matrix for being N × M with dimensionIndicate the occupancy set of all kinds of resources in each cabinet of current state, wherein lnmIndicate cabinet n
The occupancy of middle m class resource,The vector P for being 1 × M with dimension0=[p1 p2 ... pM] indicate that current state is each
The average value set of class resource occupancy in each cabinet, wherein pmIndicate that current state m class resource occupies in each cabinet
The average value of rate,
7. the intelligent deployment and reconstructing method of base band resource pool as claimed in claim 6, it is characterised in that: indicate function with t
Quantity t=1,2,3 ..., the T of component, t building blocks of function com (1), com (2), com (3), com (4) ..., com (t) composition
Using S, each building blocks of function only corresponds to a kind of hardware resource of classification, com (1), com (2), com (3), com (4) ..., com
(t) hardware resource type, hardware resource external constraint corresponding to are from task template it is known that indicating to set in resource pool logic with r
All hardware resource deployment scheme numbers that can be carried using S are matched in standby library, r=1,2,3 ..., R are R × T with dimension
MatrixIndicate cabinet number corresponding to each building blocks of function in each deployment scheme, wherein zrtIt indicates
In r kind deployment scheme, cabinet number corresponding to component com (t), 1≤zrt≤N；The matrix for being R × T with dimensionIndicate the chip number in each deployment scheme in each building blocks of function cabinet corresponding to it,
Middle zrt' indicate in r kind deployment scheme, component com (t) is in cabinet zrtIn chip number,
8. the intelligent deployment and reconstructing method of base band resource pool as claimed in claim 7, it is characterised in that: transported according to resource pool
Row state, the occupied hardware number z of Current hardware resource involved in matrix Z'rt' delete, while deleting zrt' where
Row zr' and correlation matrix Z in zrRow, to guarantee all resources in matrix Z, Z' all in idle state.
9. the intelligent deployment and reconstructing method of base band resource pool as claimed in claim 8, it is characterised in that: using dimension is 1 × M
Vector Qr=[q1 q2 ... qM] indicate to be based on scheme zr、zr' occupancy of all kinds of resources in each cabinet and former after deployment
The Root-mean-square deviation set of all kinds of resources of beginning state occupancy in each cabinet, wherein qmIt indicates to be based on scheme zr、zr' after deployment
The Root-mean-square deviation of m class resource occupancy and reset condition m class resource occupancy in each cabinet in each cabinet, Wherein l'nmIt indicates to be based on scheme zr、zr' after deployment in each cabinet all kinds of resources occupancy set, Pm
It indicates to be based on scheme zr、zr' the preceding m class resource occupancy in each cabinet of deployment average value.Define evaluation function f=MAX
(Qr), the return value of function f is matrix QrIn maximum value
10. the intelligent deployment and reconstructing method of base band resource pool as claimed in claim 9, it is characterised in that: from matrix Z, Z'
In appoint take a kind of deployment scheme: zr、zr', it calculates: zr、zr' after representative deployment scheme deployment all kinds of resources in each cabinet
The Root-mean-square deviation vector Q of occupancy and all kinds of resources of reset condition occupancy in each cabinetr=[q1 q2 ... qM], by Qr
Bring evaluation function f=MAX (Q intor), then deployment scheme is taken from matrix Z, Z': zr+1、zr+1', calculate zr+1、zr+1' representative
After deployment scheme deployment all kinds of resources in each cabinet occupancy and all kinds of resources of reset condition in each cabinet occupancy it is equal
Root deviates vector Qr+1=[q1 q2 ... qM], by Qr+1Bring evaluation function f intor+1=MAX (Qr+1), it has successively traversed all
Deployment scheme, final function frReturn value one corresponding deployment scheme of minimum is optimal deployment scheme.
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