CN107360044A - Processing towards the value-orientation of typing resource optimizes system - Google Patents
Processing towards the value-orientation of typing resource optimizes system Download PDFInfo
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- CN107360044A CN107360044A CN201710756419.3A CN201710756419A CN107360044A CN 107360044 A CN107360044 A CN 107360044A CN 201710756419 A CN201710756419 A CN 201710756419A CN 107360044 A CN107360044 A CN 107360044A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
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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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The present invention is a kind of processing optimization system development method of value-orientation towards typing resource, the resource type that Internet of Things collects is divided into three kinds of data, information and knowledge from concept aspect, to solve internet of things finite bandwidth and the contradiction of vast resources transmission demand, the present invention determines the processing scheme of resource by carrying out the cost of processing two schemes after more direct process resource and tts resource type again, optimized allocation of resources, belong to Distributed Calculation and Software Engineering technology crossing domain.The present invention is modeled the collection of resource, transmission, storage, processing, conversion, establishment, display, protection and using the respective activity as related resource; so as to realize the Dynamic Resource Allocation for Multimedia under limited network bandwidth resources, network resource utilization and the treatment effeciency of the resource collected are improved.
Description
Technical field
The present invention is a kind of processing optimization system development method of value-orientation towards typing resource, by Internet of Things
The resource being pooled to conceptually is divided into the resource of the types such as data, information and knowledge, and sensor is divided into data sensor
The resource of device, information sensor and knowledge sensor, respectively gathered data, information and knowledge type, asked when user sends resource
After asking, respective handling is carried out to resource, and processing and the storing process of optimization resource are converted by resource type, belongs to distributed
Calculate and Software Engineering technology crossing domain.
Background technology
With the development of technology of Internet of things, the stock number sharp increase that is gathered using sensor network, under environment of internet of things
The performance of real time resources transmitting and scheduling determines management of process and the memory management efficiency of sensing node in Internet of Things, resources for research
Dispatch to improve Internet of Things system control performance, improve network connectedness and resource improve real-time tranception ability have it is important
Meaning.Internet of Things includes the processes such as collection of resources, transmission, processing, control and service, and it is full-range to realize complex industrial manufacture
Optimal dispatch control and dynamic information service.Traditional method for processing resource does not consider that resource type is changed, and user sends resource
After request, the resource of processing is easily limited in transmitting procedure by network bandwidth, forwarding length, causes efficiency of transmission is low to ask
Topic；The present invention proposes a kind of processing optimization system development method of value-orientation towards typing resource, and key technology is
The sensor group that internet of things data acquisition terminal is arranged under special scenes collects to be existed in the form of data, information and knowledge etc.
Source material, by tts resource type change resource extent, the cost of corrdinated adjustment Resource Calculation and storage, optimize resource
Utilization rate and efficiency of transmission.
The content of the invention
Technical problem：The purpose of the present invention is to solve internet of things finite bandwidth and the lance of vast resources transmission demand
Shield, the cost by carrying out processing two schemes after more direct process resource and tts resource type again determine the processing of resource
Scheme, and using the collection of resource, transmission, storage, processing, conversion, establishment, display, protection and use the phase as related resource
Answer activity to be modeled, so as to realize the Dynamic Resource Allocation for Multimedia under limited network bandwidth resources, improve network resource usage
The treatment effeciency of rate and the resource collected.
Technical scheme：The present invention is a kind of processing optimization system development method of value-orientation towards typing resource,
The resource of the types such as data, information and the knowledge collected by data pick-up, information sensor and knowledge sensor is passing
Because the resource-constraineds such as network bandwidth cause efficiency of transmission low during defeated, resource allocation is uneven, can not meet user's in time
Resource request, the present invention propose to pass through tts resource type change resource extent, raising resource utilization and efficiency of transmission；
The present invention proposes collection, transmission, storage, processing, conversion, establishment, display, the protection money related to conduct is used to resource
The respective activity in source is modeled, and defining Resource Modeling is included using resource instances, resource type, the concept of resource collection to money
Description, the description of resource type conversion of source classification, are defined as follows：
（1）Resource instances (RINS)：The resource of atomic level is described, as the bottom node of resource classification tree, resource instances
Including resource type (REtype) and resource extent (REsca) two attributes, it is represented by RINS:=<REtype, REsca>；
（2）Resource type (TypeDIK)：The present invention defines resource and includes three types, is data, information and knowledge respectively, can table
It is shown as TypeDIK:=<DataDIK, InformationDIK, KnowledgeDIK>.Table 1 is given to DataDIK、
InformationDIKAnd KnowledgeDIKEtc. the explanation of resource type；
（3）Resource collection (RC)：Resource collection is the set of different type or same type of resources, is made up of resource instances；
The stepped form of the resource type of table 1.
| DataDIK | InformationDIK | KnowledgeDIK | |
| Semanteme load | Do not specify stakeholder/machine | Specify stakeholder/machine | Given information is abstracted |
| Form | The concept set of element | The concept mapping and dependency relation combination of data | Further classification to information is with being abstracted |
| Usage | Statistics and transmission | Interaction | Reasoning and prediction |
| Subgraph | DataGraphDIK | InformationGraphDIK | KnowledgeGraphDIK |
| Subgraph expression-form | Array, chained list, stack, tree, figure etc. | Relational database | Semantic network |
Architecture
Fig. 1 gives the architecture towards the processing optimization system of the value-orientation of typing resource, and Fig. 2 is given towards class
The flow chart of the processing optimization system of the value-orientation of type resource.Sensor is divided into data pick-up by the present invention, information passes
The resource of sensor and knowledge sensor, the respectively type such as gathered data, information and knowledge, and the resource collection collected is defined
For RES:={RESD, RESI, RESK, the scale of every kind of resource is Amt={ AmtD, AmtI, AmtK, table 2 show RES
The atom cost of middle unit resource type conversion, the conversion between data and information need the support of context, and data are
Directly obtained by observation, itself does not include semantic information, and by assigning context to data, data could be changed
Into information；Conversion between data and knowledge has different constraint informations in different phase, in the data pick-up stage, the number of selection
It should meet the basic description of domain knowledge according to conversion set, and according to the conceptual description of specific area, by data packet classification, with
Example forms are abstracted and encapsulated to data；The conversion of information to knowledge needs the support of empirical rule.And known by reasoning
Know the data and information that can obtain correlation, data can obtain by analysis and observed information.Table 3 show unit resource type and turned
The scope increment changed, table 4 show the processing cost and storage cost of unit resource；
The atom cost that unit resource type is changed in table 2.RES
| DataDIK | InformationDIK | KnowledgeDIK | |
| DataDIK | TCostD-D | TCostD-I | TCostD-K |
| DataDIK | TCostI-D | TCostI-I | TCostI-K |
| DataDIK | TCostK-D | TCostK-I | TCostK-K |
The scope increment of the unit resource type of table 3. conversion
| DataDIK | InformationDIK | KnowledgeDIK | |
| DataDIK | |||
| InformationDIK | |||
| KnowledgeDIK |
The processing cost and storage cost of the unit resource of table 4.
| DataDIK | InformationDIK | KnowledgeDIK | |
| Handle cost (CostPR) | CostPRD | CostPRI | CostPRK |
| Storage cost (STCost) | STCostD | STCostI | STCostK |
Beneficial effect：
The present invention proposes a kind of processing optimization system development method of value-orientation towards typing resource, is provided by weighing
The cost of source processing determines resource processing scheme, the processing of optimization resource and storage, is advantageous to alleviate Internet of Things resource transmission process
Present in load imbalance, real time and reliability the problems such as being difficult to ensure.By sensor group collect with data, information
With the resource existing for form such as knowledge, these resource transmissions to resource are handled into node, optimization money using Internet of Things transmission network
Source is distributed.The present invention proposed by the type changing of transformation resource extent between the resource such as data, information and knowledge, solve by
Network bandwidth resources are limited to cause resource can not the problem of efficiency of transmission is low, network resource utilization is not high.This method has such as
Lower advantage：
1）Division to resource type
The present invention proposes conceptually to divide resources into data（DataDIK）, information（InformationDIK）And knowledge
（KnowledgeDIK）, it is easy to excavate the contact between resource and tts resource type, and then change resource extent, dynamically adapting
The resource constraints such as network bandwidth, caching；
2）Storage is with calculating integrative coordinated adjustment
A kind of Internet of Things collection of resources transmission optimization system development method towards typing resource, the present invention is by resource from concept
On be divided into data, information and knowledge three and open type, resource extent is changed by tts resource type, advantageously reduces money
The storage cost and processing cost in source, the cost for handling and storing by corrdinated adjustment resource, optimize resource utilization and processing
Efficiency, reduce bandwidth needs of the resource when being transferred to user；
3）Dynamically distributes Internet resources
By the subdivision to existing resource and rationally storage, the space efficiency of resource storage is optimized, reduces Internet of Things transmission money
The network bandwidth resources taken during source, dynamically distributes network bandwidth resources, improve resource utilization.
Brief description of the drawings
Fig. 1 is a kind of architecture of the processing optimization system of value-orientation towards typing resource.
Fig. 2 is a kind of flow chart of the processing optimization system development method of value-orientation towards typing resource.
Embodiment
A kind of processing optimization system development method of value-orientation towards typing resource, is gathered using sensor network
With data (DataDIK), information (InformationDIK) and knowledge (KnowledgeDIK) etc. resource existing for form, in Internet of Things
These resource transmissions to resource processing platform are passed through the type between the resources such as data, information and knowledge by net transmission network kind
Changing of transformation resource extent, solving is caused that resource can not efficiency of transmission be low, network resource usage by network bandwidth resources are limited
The problem of rate is not high.Embodiment is：
Step 1）Corresponding to step 001 in Fig. 2, sensor group collects in Internet of Things data, information and knowledge type are obtained
Set of resource instances RES；
Step 2）Resource handles cost（Costpro）It is relevant with the stock number that resource extent and user ask, resource storage cost with
Resource extent is relevant, and corresponding to step 002 in Fig. 2, directly processing and set of memory resources RES are calculated according to formula 1 and formula 2
Cost：
(1)
(2)
Wherein CostPR values include { CostPRD, CostPRI, CostPRK, processing unit data resource, letter are represented respectively
Resource and the atom cost of knowledge resource are ceased, μ represents that the stock number of user's request accounts for the proportion of source material scale, STCost tables
Show the atom cost of storage cell resource；
Step 3）Corresponding to step 003 in Fig. 2, Type is taken successively to each element in RESDIKIn value, 004 computing resource class
Type switching cost（CostMT）：
(3)
Wherein represent that the scale for carrying out the resource of type conversion accounts for the proportion of source material scale, TCost represents unit resource class
The atom cost of type conversion, value include { TCostD-D, TCostD-I, TCostD-K, TCostI-D, TCostI-I,
TCostI-K, TCostK-D, TCostK-I, TCostK-K}；
Step 4）Corresponding to step 005 in Fig. 2, to every kind of situation, the resource extent after being changed according to the computing resource type of formula 4
Amt ', resource extent set is updated, 006 calculates processing cost and storage cost after type conversion：
(4)
The increment of scale, value include Amt wherein after the conversion of expression unit resource typeD-D, AmtD-I, AmtD-K,
AmtI-D, AmtI-I, AmtI-K, AmtK-D, AmtK-I, AmtK-K；
Step 5）Corresponding to step 007 in Fig. 2, present invention definition includes to the object function of the limited model of network resource usage
Bandwidth uses equilibrium degree（UE_BW）With two parameters of stand-by period (WTime) of node resource forwarding, wherein bandwidth uses balanced
Spend for bandwidth idleness（IRate_BW）Variance, bandwidth idleness and bandwidth use the calculation such as He of formula 5 of equilibrium degree
6：
(5)
(6)
Wherein BWijRepresent from node i to the bandwidth of node j link, FijThe flow on link is represented, l represents average mark group leader
Degree；
Step 6）Corresponding to step 008 in Fig. 2, the stand-by period of resource forwarding is including forwarding wait rate on one node
（WRate）With wait equilibrium degree（WEqu）, the variance that equilibrium degree is resource forwarding wait rate is waited, forwarding wait rate and wait are equal
Weighing apparatus degree can calculate according to regard to formula 7 and 8：
(7)
(8)
Wherein NiRepresent the average packet number for the resource that i-th of node need to forward, HiRepresent the buffer length of node i.009
The present invention define Internet resources optimization object function be：
(9)
Wherein α and β represents that bandwidth using equilibrium degree and the weight coefficient of wait equilibrium degree, can be drawn, F by data training respectively
Value it is smaller, represent network traffics distribution it is more balanced；
Step 7）Corresponding to step 010 in Fig. 2, handled again after selecting directly processing and storage resource and tts resource type
With processing and the storage scheme for meeting the limitation of the Internet resources such as bandwidth, transmission buffer in storage two ways；
Step 8）Corresponding to step 011 in Fig. 2, calculated according to formula 10 and after more direct transfer resource and tts resource type
Carry out the required input under different schemes such as handling again（Inves）：
(10)
WhereinUser's input needed for unit resource transmission cost and storage cost sum is represented,Represent unit resource type
User needed for conversion puts into；
Step 9）Corresponding to step 012 in Fig. 2, according to the benefit ratio of the calculating different disposal prioritization scheme of formula 11（Inve_
Cos）：
(11)
Step 10）Corresponding to step 013 in Fig. 2 and 014, the acceptable pre- input scope of user and expected benefit ratio are obtained
（Inve_Cos0）The present invention is UInve due to the acceptable pre- input of user{UInvedown,UInveup}；
Step 11）Corresponding to step 015 in Fig. 2, put into and meet in required user
Scheme in select benefit ratio larger, 016 and resource is stored and handled according to the program.
Claims (1)
1. the processing optimization system development method of a kind of value-orientation towards typing resource, it is characterised in that converged to Internet of Things
The processing optimization process of the resource of collection, user are optimized by the processing to resource, are subjected in user after resource request is proposed
Response time and memory bandwidth limitation under meet the resource requirement of user；The present invention defines the resource type that Internet of Things collects
Data (Data is divided into from concept aspectDIK), information (InformationDIK) and knowledge (KnowledgeDIK) three kinds, it is
Solve internet of things finite bandwidth and the contradiction of vast resources transmission demand, the present invention passes through more direct process resource and conversion
The cost for carrying out processing two schemes after resource type again determines the processing scheme of resource；Hereafter, the present invention by the collection of resource,
Transmit, store, handle, change, create, show, protect and be modeled using the respective activity as related resource, so that in fact
Dynamic Resource Allocation for Multimedia under now limited network bandwidth resources, improve the processing of network resource utilization and the resource collected
Efficiency；Sensor is divided into data pick-up, information sensor and knowledge sensor by the present invention, respectively gathered data, information and
The resource of the types such as knowledge, and the resource collection collected is defined as RES:={RESD, RESI, RESK, every kind of resource
Scale is Amt={ AmtD, AmtI, AmtK, specific implementation step is：
Step 1）Obtain the set of resource instances RES of data, information and knowledge type that sensor group collects in Internet of Things；
Step 2）Resource handles cost（Costpro）It is relevant with the stock number that resource extent and user ask, resource storage cost with
Resource extent is relevant, and directly processing and set of memory resources RES cost is calculated according to formula 1 and formula 2：
Explanation:Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<apply>
<ci>Cost</ci>
<ci>pro</ci>
</apply>
<mo>=</mo>
<mrow>
<mo>&sum;</mo>
<mrow>
<apply>
<ci>CostPR</ci>
<ci>i</ci>
</apply>
<mo>&lowast;</mo>
<mi>&mu;</mi>
<apply>
<ci>Amt</ci>
<ci>i</ci>
</apply>
<mo>+</mo>
<apply>
<ci>Amt</ci>
<ci>i</ci>
</apply>
<mo>,</mo>
<mi>i</mi>
<mo>&isin;</mo>
<mo lspace='0px' rspace='0px' fence='true'>&lcub;</mo>
<mi>D</mi>
<mo>,</mo>
<mi>I</mi>
<mo>,</mo>
<mi>K</mi>
<mo lspace='0px' rspace='0px' fence='true' form='postfix'>&rcub;</mo>
</mrow>
</mrow>
</mrow>
</math>(1)
Explanation:Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<apply>
<ci>Cost</ci>
<ci>sto</ci>
</apply>
<mo>=</mo>
<apply>
<ci>STCost</ci>
<ci>D</ci>
</apply>
<mo>&lowast;</mo>
<apply>
<ci>Amt</ci>
<ci>D</ci>
</apply>
<mo>+</mo>
<apply>
<ci>STCost</ci>
<ci>I</ci>
</apply>
<mo>&lowast;</mo>
<apply>
<ci>Amt</ci>
<ci>I</ci>
</apply>
<mo>+</mo>
<apply>
<ci>STCost</ci>
<ci>K</ci>
</apply>
<mo>&lowast;</mo>
<apply>
<ci>Amt</ci>
<ci>K</ci>
</apply>
</mrow>
</math>(2)
Wherein CostPR values include { CostPRD, CostPRI, CostPRK, processing unit data resource, letter are represented respectively
Resource and the atom cost of knowledge resource are ceased, μ represents that the stock number of user's request accounts for the proportion of source material scale, STCost tables
Show the atom cost of storage cell resource；
Step 3）Type is taken successively to each element in RESDIKIn value, computing resource type switching cost（CostMT）：
Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>CostMT</mi>
<mo>=</mo>
<mrow>
<mo>&sum;</mo>
<mrow>
<apply>
<ci>TCost</ci>
<csymbol>
<mi>i</mi>
<mo>&minus;</mo>
<mi>j</mi>
</csymbol>
</apply>
<mo>&lowast;</mo>
<mi>&lambda;</mi>
<apply>
<ci>Amt</ci>
<ci>i</ci>
</apply>
<mo>,</mo>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
<mo>&isin;</mo>
<mo lspace='0px' rspace='0px' fence='true'>&lcub;</mo>
<mi>D</mi>
<mo>,</mo>
<mi>I</mi>
<mo>,</mo>
<mi>K</mi>
<mo lspace='0px' rspace='0px' fence='true' form='postfix'>&rcub;</mo>
</mrow>
</mrow>
</mrow>
</math>(3)
WhereinExplanation:Explanation:<math display = 'block'>
<mrow>
<mi>&lambda;</mi>
</mrow>
</math>Represent that the scale for carrying out the resource of type conversion accounts for the proportion of source material scale, TCost represents unit resource
Type conversion atom cost, value include TCostD-D, TCostD-I, TCostD-K, TCostI-D, TCostI-I,
TCostI-K, TCostK-D, TCostK-I, TCostK-K}；
Step 4）To every kind of situation, the resource extent Amt ' after being changed according to the computing resource type of formula 4, resource extent collection is updated
Close, then calculate processing cost and storage cost after type conversion：
Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<apply>
<ci>Amt</ci>
<ci>i</ci>
</apply>
<mo lspace='0px' form='infix'>'</mo>
<mo>=</mo>
<apply>
<csymbol>
<apply>
<ci>Amt</ci>
<ci>i</ci>
</apply>
<mo>+</mo>
<mi>&lambda;</mi>
<mi>&Delta;</mi>
<apply>
<ci>Amt</ci>
<csymbol>
<mi>j</mi>
<mo>&minus;</mo>
<mi>i</mi>
</csymbol>
</apply>
</csymbol>
</apply>
<mo>,</mo>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
<mo>&isin;</mo>
<mo lspace='0px' rspace='0px' fence='true'>&lcub;</mo>
<mi>D</mi>
<mo>,</mo>
<mi>I</mi>
<mo>,</mo>
<mi>K</mi>
<mo lspace='0px' rspace='0px' fence='true' form='postfix'>&rcub;</mo>
</mrow>
</math>(4)
The increment of scale, value include Amt wherein after the conversion of expression unit resource typeD-D, AmtD-I, AmtD-K,
AmtI-D, AmtI-I, AmtI-K, AmtK-D, AmtK-I, AmtK-K；
Step 5）Present invention definition uses equilibrium degree to the object function of the limited model of network resource usage comprising bandwidth（UE_
BW）With two parameters of stand-by period (WTime) of node resource forwarding, wherein bandwidth is bandwidth idleness using equilibrium degree
（IRate_BW）Variance, bandwidth idleness and bandwidth use the calculation such as formula 5 and 6 of equilibrium degree：
Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>IRate</mi>
<mo>_</mo>
<mi>BW</mi>
<mo>=</mo>
<mfrac>
<mrow>
<apply>
<ci>BW</ci>
<ci>ij</ci>
</apply>
<mo>&minus;</mo>
<apply>
<ci>F</ci>
<ci>ij</ci>
</apply>
<mo>&lowast;</mo>
<mi>l</mi>
</mrow>
<apply>
<ci>BW</ci>
<ci>ij</ci>
</apply>
</mfrac>
<mo>,</mo>
<mi>i</mi>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo lspace='0px' rspace='0px'>......,</mo>
<mi>n</mi>
</mrow>
</math>(5)
Explanation:Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>UE</mi>
<mo>_</mo>
<mi>BW</mi>
<mo>=</mo>
<mi>E</mi>
<mo stretchy='false'>(</mo>
<msup>
<mrow>
<mi>IRate</mi>
<mo>_</mo>
<mi>BW</mi>
</mrow>
<mn>2</mn>
</msup>
<mo stretchy='false'>)</mo>
<mo>&minus;</mo>
<msup>
<mrow>
<mo stretchy='false'>[</mo>
<mi>E</mi>
<mo stretchy='false'>(</mo>
<mi>IRate</mi>
<mo>_</mo>
<mi>BW</mi>
<mo stretchy='false'>)</mo>
<mo stretchy='false'>]</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</math>(6)
Wherein BWijRepresent from node i to the bandwidth of node j link, FijThe flow on link is represented, l represents average mark group leader
Degree；
Step 6）The stand-by period of resource forwarding includes forwarding wait rate on one node（WRate）With wait equilibrium degree
（WEqu）, the variance that equilibrium degree is resource forwarding wait rate is waited, forwarding wait rate and wait equilibrium degree can be according to regard to the Hes of formula 7
8 calculate：
Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<apply>
<ci>WRate</ci>
<ci>i</ci>
</apply>
<mo>=</mo>
<mfrac>
<mrow>
<apply>
<ci>N</ci>
<ci>i</ci>
</apply>
<mo>&lowast;</mo>
<mi>l</mi>
</mrow>
<apply>
<ci>H</ci>
<ci>i</ci>
</apply>
</mfrac>
<mo>,</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo lspace='0px' rspace='0px'>......,</mo>
<mi>n</mi>
</mrow>
</math>(7)
Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>WEqu</mi>
<mo>=</mo>
<mi>E</mi>
<mo stretchy='false'>(</mo>
<mi>W</mi>
<msup>
<mi>Rate</mi>
<mn>2</mn>
</msup>
<mo stretchy='false'>)</mo>
<mo>&minus;</mo>
<msup>
<mrow>
<mo stretchy='false'>[</mo>
<mi>E</mi>
<mo stretchy='false'>(</mo>
<mi>WRate</mi>
<mo stretchy='false'>)</mo>
<mo stretchy='false'>]</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
</math> (8)
Wherein NiRepresent the average packet number for the resource that i-th of node need to forward, HiRepresent the buffer length of node i；
The present invention define Internet resources optimization object function be：
Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>F</mi>
<mo>=</mo>
<mi>&alpha;</mi>
<mo>&lowast;</mo>
<mi>UE</mi>
<mo>_</mo>
<mi>BW</mi>
<mo>+</mo>
<mi>&beta;</mi>
<mi>WEqu</mi>
<mo>,</mo>
<mi>&alpha;</mi>
<mo>+</mo>
<mi>&beta;</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
</math>(9)
Wherein α and β represents that bandwidth using equilibrium degree and the weight coefficient of wait equilibrium degree, can be drawn, F by data training respectively
Value it is smaller, represent network traffics distribution it is more balanced；
Step 7）Handled and stored again in two ways completely after selecting directly processing and storage resource and tts resource type
The processing of the Internet resources such as foot straps are wide, transmission buffer limitation and storage scheme；
Step 8）Calculated according to formula 10 and carry out the not Tongfang such as handling again after more direct transfer resource and tts resource type
Required input under case（Inves）：
Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>Inves</mi>
<mo>=</mo>
<mi>&phiv;</mi>
<mo stretchy='false'>(</mo>
<apply>
<ci>Cost</ci>
<ci>sto</ci>
</apply>
<mo>+</mo>
<apply>
<ci>Cost</ci>
<ci>tran</ci>
</apply>
<mo stretchy='false'>)</mo>
<mo>+</mo>
<mi>&phi;</mi>
<mi>CostMT</mi>
</mrow>
</math>(10)
WhereinExplanation:Explanation:<math display = 'block'>
<mrow>
<mi>&phiv;</mi>
</mrow>
</math>User's input needed for unit resource transmission cost and storage cost sum is represented,Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>&phi;</mi>
</mrow>
</math>Represent unit resource type
User needed for conversion puts into；
Step 9）The benefit ratio of different disposal prioritization scheme is calculated according to formula 11（Inve_Cos）：
Explanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mi>Inve</mi>
<mo>_</mo>
<mi>Cos</mi>
<mo>=</mo>
<mfrac>
<mi>Inves</mi>
<mrow>
<apply>
<ci>Cost</ci>
<ci>pro</ci>
</apply>
<mo>+</mo>
<apply>
<ci>Cost</ci>
<ci>sto</ci>
</apply>
</mrow>
</mfrac>
</mrow>
</math>(11)
Step 10）Obtain the acceptable pre- input scope of user and expected benefit ratio（Inve_Cos0）The present invention can due to user's
It is UInve to receive pre- inputExplanation:Explanation:Explanation:<math display = 'block'>
<mrow>
<mo>&isin;</mo>
</mrow>
</math>{UInvedown,UInveup}；
Step 11）Put into and meet in required userExplanation:Explanation:<math display = 'block'>
<mrow>
<apply>
<ci>UInve</ci>
<ci>down</ci>
</apply>
<mo>&le;</mo>
<mi>Inves</mi>
<mo>&le;</mo>
<apply>
<ci>UInve</ci>
<ci>up</ci>
</apply>
</mrow>
</math>Scheme in select benefit ratio 2
It is larger, and resource is stored and handled according to the program. 3
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| CN108429748A (en) * | 2018-03-09 | 2018-08-21 | 海南大学 | Put into the Internet of Things resource security protection method of driving |
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| CN107038263A (en) * | 2017-06-23 | 2017-08-11 | 海南大学 | A kind of chess game optimization method based on data collection of illustrative plates, Information Atlas and knowledge mapping towards Transac-tion processing efficiency |
| CN107066634A (en) * | 2017-06-25 | 2017-08-18 | 海南大学 | A kind of resource storage efficiency optimization method for the data-oriented collection of illustrative plates, Information Atlas and knowledge mapping for putting into driving |
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| US20150095303A1 (en) * | 2013-09-27 | 2015-04-02 | Futurewei Technologies, Inc. | Knowledge Graph Generator Enabled by Diagonal Search |
| CN105574098A (en) * | 2015-12-11 | 2016-05-11 | 百度在线网络技术（北京）有限公司 | Knowledge graph generation method and device and entity comparing method and device |
| CN107038263A (en) * | 2017-06-23 | 2017-08-11 | 海南大学 | A kind of chess game optimization method based on data collection of illustrative plates, Information Atlas and knowledge mapping towards Transac-tion processing efficiency |
| CN107066634A (en) * | 2017-06-25 | 2017-08-18 | 海南大学 | A kind of resource storage efficiency optimization method for the data-oriented collection of illustrative plates, Information Atlas and knowledge mapping for putting into driving |
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