CN107734000A - Storage and calculating Integrated optimization system towards the value-orientation of typing resource - Google Patents

Storage and calculating Integrated optimization system towards the value-orientation of typing resource Download PDF

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CN107734000A
CN107734000A CN201710870573.3A CN201710870573A CN107734000A CN 107734000 A CN107734000 A CN 107734000A CN 201710870573 A CN201710870573 A CN 201710870573A CN 107734000 A CN107734000 A CN 107734000A
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CN107734000B (en
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段玉聪
邵礼旭
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Hainan University
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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
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/10—Flow control; Congestion control
    • H04L47/12—Avoiding congestion; Recovering from congestion
    • H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
    • 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
    • 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
    • H04L67/565—Conversion or adaptation of application format or content
    • H04L67/5651—Reducing the amount or size of exchanged application data

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The present invention is a kind of storage of the value-orientation towards typing resource and processing Integrated Optimization, the resource instances that Internet of Things collects are divided into data, information and knowledge three types from concept aspect, to solve internet of things finite bandwidth and the contradiction of vast resources transmission demand, the processing scheme of resource is determined by the cost handled again after more direct process resource and tts resource type, belongs 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; realize the Dynamic Resource Allocation for Multimedia under limited network bandwidth resource; the resource load for improving the service efficiency of resource and keeping in balance; optimize resource processing and store required calculation cost and space cost, system is kept a kind of more stable state.

Description

Storage and calculating Integrated optimization system towards the value-orientation of typing resource
Technical field
The present invention is a kind of storage of the value-orientation towards typing resource and processing Integrated Optimization, by Internet of Things The resource being pooled in net is conceptually divided into the resource of the types such as data, information and knowledge, and sensor is divided into data The resource of sensor, information sensor and knowledge sensor, respectively gathered data, information and knowledge type, when user sends money After the service request of source, using the collection of resource, transmission, storage, processing, conversion, establishment, display, protection and use as related money The respective activity in source is modeled, and processing and the storing process of optimization resource are changed by resource type, belongs to Distributed Calculation With 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.Traditional method for processing resource does not consider that resource type is changed, and after user sends resource request, the resource of processing is being transmitted During easily limited by network bandwidth, forwarding length, the problem of causing efficiency of transmission low.The computing resource of device service is Height-limited, storage capacity, computing capability and the bandwidth resource of such as equipment are all limited；The search space of device service It is huge.User's selection how is quickly and efficiently set to meet that the service of its demand is a huge challenge.How limited Internet of Things service computing resource in the case of for unlimited service request provide high efficient and reliable, meet the clothes of its individual demand Business is urgent problem to be solved.
The present invention proposes storage and the processing Integrated Optimization of a kind of value-orientation towards typing resource, crucial Technology passes through tts resource in the source material existing for will be pooled in Internet of Things in the form of data, information and knowledge etc. Type change resource extent, calculating and storage resource needed for corrdinated adjustment process resource, optimization Internet of Things resource utilization 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 contradiction of vast resources transmission demand, by relatively directly locating The cost for carrying out handling two schemes after reason resource and tts resource type again determines the processing scheme of resource, so as to it is real now with Dynamic Resource Allocation for Multimedia under the network bandwidth resources of limit, improve network resource utilization and the treatment effeciency of the resource collected.
Technical scheme：
The present invention is a kind of storage of the value-orientation towards typing resource and processing Integrated Optimization, is passed by data The resource of the types such as data, information and the knowledge that sensor, information sensor and knowledge sensor collect in transmitting procedure by Cause efficiency of transmission low in resource-constraineds such as network bandwidths, resource allocation is uneven, can not meet the resource request of user in time, this Invention proposes to pass through tts resource type change resource extent, raising resource utilization and efficiency of transmission.The present invention defines resource Modeling includes retouching using what the description of resource instances, resource type, the concept of resource collection to resource classification, resource type were changed State, be 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；
DataDIK：DataDIKBe by directly observing obtained resource, in the case of no context, DataDIKNo Semanteme, to DataDIKData is introduced when being analyzedDIKMathematic(al) structure, including metrology structure, network structure and algebraically knot Structure.In DataGraphDIKOn can count DataDIKStructure frequency, time frequency and spatial frequency；
InformationDIK：InformationDIKFor expressing the interaction and cooperation between entity, by the Data of generalitiesDIK Combination with related resource elements is formed；
KnowledgeDIK：KnowledgeDIKThe resource of higher abstraction hierarchy is represented, by DataDIKAnd InformationDIK Be abstracted and can obtain KnowledgeDIK, by KnowledgeDIKDeduce and reasoning can be excavated and is implicitly present or unknown Resource；
（3）Resource collection (RC)：Resource collection is the set of different type or same type of resources, is made up of resource instances；
DataDIKTo InformationDIKConversion
Directly observe obtained DataDIK, mapped and clustered by concept, by DataDIKRecombinated and classified, after restructuring DataDIKSet corresponding different class or concept, can obtain InformationDIK；
DataDIKTo KnowledgeDIKConversion
DataDIKSemantic relation can be inherited from the pattern of standard, be effectively integrated and reused by other application, DataDIK In can have phenomena such as redundancy, inconsistent, in DataDIKInto the transfer process of knowledge, by linking DataDIKSource and language Justice constraint, identifies most reliable DataDIK, and then form KnowledgeDIK；
InformationDIKTo KnowledgeDIKConversion
InformationDIKFor expressing the interaction and cooperation between entity, remembered by classifying and being abstracted intersection record or behavior Record obtains the statistical rules about entity dynamic behaviour, i.e. knowledge.Knowledge can be drawn by inferring from known resource, be inferred During the necessary information that lacks can be collected by appropriate investigative technique, such as experiment, investigation etc.；
InformationDIKTo DataDIKConversion
It is discrete, the conversion from concept set to resource instances.InformationDIKExpress the dynamic interaction between entity and association Make, the static state of observation entity object at a time obtains DataDIK；
KnowledgeDIKTo DataDIKConversion
According to knowledge reasoning, to the Knowledge extractedDIKRelated example, Knowledge are established in setDIKBetween node Relation is associated with example in a manner of attribute, obtains DataDIK；
KnowledgeDIKTo InformationDIKConversion
Reasoning from logic, knowledge mapping allow it to link and help user to do using more rich knowledge base without architectural feature Decision-making, from knowledge retrieval to Knowledge Creation during obtain InformationDIK；
The explanation of 1. typing resource of table
DataDIK InformationDIK KnowledgeDIK
Semanteme load Do not specify stakeholder/machine Specify stakeholder/machine Obtained known to abstract unknown
Form The concept set of element The concept mapping and dependency relation combination of data Probability or classification
Usage Existence is identified after generalities data Interaction Reasoning and prediction
Figure DataGraphDIK InformationGraphDIK KnowledgeGraphDIK
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 D-D D-I D-K
InformationDIK I-D I-I I-K
KnowledgeDIK K-D K-I K-K
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 storage of the value-orientation towards typing resource and processing Integrated Optimization, passes through weighing apparatus The cost of amount resource processing determines resource processing scheme, the processing of optimization resource and storage, is advantageous to alleviate Internet of Things resource transmission During existing load imbalance, real time and reliability the problems such as being difficult to ensure.By sensor group collect with data, Resource existing for the form such as information and knowledge, these resource transmissions to resource are handled into node using Internet of Things transmission network, it is excellent Change resource allocation.The present invention proposes, by the type changing of transformation resource extent between the resources such as data, information and knowledge, solve By network bandwidth resources it is limited cause resource can not efficiency of transmission is low, network resource utilization is not high the problem of.This method has Have the following advantages：
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 storage and the flow chart of processing Integrated Optimization of a kind of value-orientation towards typing resource.
Embodiment
A kind of storage of value-orientation towards typing resource and processing Integrated Optimization, use sensor network Collection is with data (DataDIK), information (InformationDIK) and knowledge (KnowledgeDIK) etc. resource existing for form, Internet of Things transmission network kind is by these resource transmissions to resource processing platform, by between the resources such as data, information and knowledge Type changing of transformation resource extent, solving is caused that resource can not efficiency of transmission be low, Internet resources by network bandwidth resources are limited The problem of utilization 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)
WhereinRepresent that the scale for carrying out the resource of type conversion accounts for the proportion of source material scale, TCost represents unit resource 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)
WhereinThe increment of scale, value include Amt after the type conversion of expression unit resourceD-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)
WhereinUnit input needed for unit resource transmission cost is represented,Unit input needed for resource storage cost is represented,Represent unit input needed for the conversion of resource element type；
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. a kind of storage of value-orientation towards typing resource and processing Integrated Optimization, it is characterised in that to Internet of Things The processing optimization process for the resource that net collects, user is after resource service request is proposed, by the processing and optimization to resource, Meet the resource requirement of user under user's acceptable response time and memory bandwidth limitation, and optimize resource processing and storage institute The calculation cost and space cost needed.The type for the resource that the present invention collects Internet of Things is divided into data from concept aspect (DataDIK), information (InformationDIK) and knowledge (KnowledgeDIK) three kinds, to solve Internet of Things finite bandwidth and sea The contradiction of resource transmission demand is measured, the present invention by carrying out two kinds of processing again after more direct process resource and tts resource type The cost of scheme determines the processing scheme of resource, by the collection of resource, transmission, storage, processing, conversion, establishment, display, protection It is modeled with using the respective activity as related resource, so as to realize the dynamic resource under limited network bandwidth resources Distribution, improve network resource utilization and the treatment effeciency of the resource collected.The present invention by sensor be divided into data pick-up, The resource of information sensor and knowledge sensor, the respectively type such as gathered data, information and knowledge, and the resource set that will be collected Conjunction is defined as RES:={ RESD,RESI,RESK, the scale of every kind of resource is Amt={ AmtD,AmtI,AmtK, specific implementation step Suddenly it is：
Step 1) obtains the set of resource instances RES of data, information and knowledge type that sensor group collects in Internet of Things.
Step 2) resource processing 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：
Costpro=∑ CostPRi*μAmti+Amti, i ∈ { D, I, K } (1)
Coststo=STCostD*AmtD+STCostI*AmtI+STCostK*AmtK (2)
Wherein CostPR values include { CostPRD,CostPRI,CostPRK, processing unit data resource, information are represented respectively The atom cost of resource and knowledge resource, μ represent that the stock number of user's request accounts for the proportion of source material scale, and STCost is represented The atom cost of storage cell resource.
Step 3) takes Type successively to each element in RESDIKIn value, computing resource type switching cost (CostMT)：
CostMT=∑s TCosti-j*λAmti, i, j ∈ { D, I, K } (3)
Wherein λ represents that the scale for carrying out the resource of type conversion accounts for the proportion of source material scale, and 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) the resource extent Amt ' after being changed according to the computing resource type of formula 4, updates resource extent collection to every kind of situation Close, then calculate processing cost and storage cost after type conversion：
Amti'=| Amti+λΔAmtj-i|, i, j ∈ { D, I, K } (4)
Wherein Δ Amt represents the increment of scale after the conversion of unit resource type, and value includes Δ AmtD-D, Δ AmtD-I, Δ AmtD-K, Δ AmtI-D, Δ AmtI-I, Δ AmtI-K, Δ AmtK-D, Δ AmtK-I, Δ AmtK-K。
Step 5) present invention definition uses equilibrium degree (UE_ to the object function of the limited model of network resource usage comprising bandwidth BW) and node resource forwarding two parameters of stand-by period (WTime), 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：
UE_BW=E (IRate_BW2)-[E (IRate_BW)]2 (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.
The stand-by period of resource forwarding includes forwarding wait rate (WRate) and wait equilibrium degree step 6) on one node (WEqu) 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：
WE qu=E (W Rate2)-[E(W Rate)]2 (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.This hair It is bright define Internet resources optimization object function be：
F=α * UE_BW+ β WEqu, alpha+beta=1 (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) is 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) calculates according to formula 10 and carries out the not Tongfang such as handling again after more direct transfer resource and tts resource type Required input (Inves) under case：
WhereinUnit input needed for unit resource transmission cost is represented, κ represents unit input, φ tables needed for resource storage cost Show unit input needed for the conversion of resource element type.
Step 9) calculates the benefit ratio (Inve_Cos) of different disposal prioritization scheme according to formula 11：
Step 10) obtains the acceptable pre- input scope of user and expected benefit ratio (Inve_Cos0) present invention due to user can It is UInve ∈ { UInve to receive pre- inputdown,UInveup}。
Step 11) meets UInve in required user inputdown≤Inves≤UInveupScheme in select benefit ratio it is larger, and Resource is stored and handled according to the program.
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