CN108471355A - A kind of Internet of Things Information Interoperability method based on extra large cloud computing framework - Google Patents
A kind of Internet of Things Information Interoperability method based on extra large cloud computing framework Download PDFInfo
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- CN108471355A CN108471355A CN201810165078.7A CN201810165078A CN108471355A CN 108471355 A CN108471355 A CN 108471355A CN 201810165078 A CN201810165078 A CN 201810165078A CN 108471355 A CN108471355 A CN 108471355A
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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
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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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
- H04L67/55—Push-based network services
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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 Internet of Things Information Interoperability methods based on extra large cloud computing framework, belong to big data processing and Internet of Things field.By based on extra large cloud computing push-model framework and form without order tree automaton module；Push-model framework based on extra large cloud computing includes that high in the clouds node handles real-time Internet of Things perception data stream with extra large end node in the Hai Duan that sea calculates, handle and store critical data beyond the clouds or generate decision data etc.；No order tree automaton module filters matching process using suffix tree automaton, using tree automaton technology, introduces suffix thought, and using the bottom-up push-model method of no order tree automaton, request is subscribed in processing.Overcome the deficiency of data and calculating in existing computing technique merged, high in the clouds and extra large end are organically integrated, the intermediate state for effectively reducing a large amount of identical transfers in data handling procedure has the advantages that reasonably optimizing Internet resources, document processing speeds are fast, semantics recognition is strong.
Description
Technical field
The invention belongs to big data processing and Internet of Things field, and in particular to a kind of Internet of Things based on extra large cloud computing framework
Information Interoperability method.
Background technology
It is social informatization and communication with Internet of Things " the wisdom earth ", the social development vision that " perception China " is representative
The future development of industry specifies direction.Currently, largely the Internet of things system of isolated closed loop is the starting point and base of Internet of Things construction
This element, these applications are often confined to the monitoring to single affairs and intelligent management.It needs to melt these information islands are organic
It closes and shared, is allowed to interconnect and interoperate, hybrid heterogeneous property, magnanimity and real-time etc. is presented in Internet of Things perception data
Feature, isomerism refer to Internet of Things using the sensor not only Various Functions of perception, and the data format of its acquisition is also not to the utmost
Identical, there is also isomerisms for data semantic so that can not be shared between different sensor networks and intercommunication；Magnanimity includes intelligence
Energy node magnanimity and monitoring data magnanimity, the year two thousand twenty internet-of-things terminal scale will be likely to reach hundred billion magnitudes, generate
Storage, transmission and the processing of mass data will face unprecedented challenge；Real-time refers to that current Internet of Things data is in more
Push-model acquires, and what data were reflected is all monitoring collection moment sensor states, and this requires systems real-time, quick processing
Ability.Isomerized sub-system, which organically combines, enables interconnection, intercommunication and interoperability, becomes Internet of Things and studies pass urgently to be resolved hurrily
Key problem in science, and determine that can Internet of Things can come into the key point of people's life as internet.Cloud computing essence
On be a kind of service mode for renting on demand of offer resource, be a kind of novel Internet data center's business, pay close attention to and coordinate
Each data center.The resource that Internet of Things is transferred is far above in this, and there are many more ordinary node, fringe nodes, even there is calculating
The embedded node etc. of ability, these fringe nodes actually possess 90% or more resource of whole network, in cloud computing mould
It is not well utilised in formula.
Information data in network generally based on complete lattice format, semi-structured format and Un-structured format,
Wherein semi-structured format data structure is variable.According to statistics, using storage devices such as computer and mobile terminals as carrier
Unstructured data occupies 80% or more of entire information content in electronic information.Internet data is mostly by semi-structured XML
It indicates, XML has become information exchange in big data environment, the format standard of storage.It handles under dynamic network and isomeric data
Communication middleware be modern the Internet network query processing data and mobile Internet query processing data etc. core technology it
One, the processing capacity excellent to the unstructured isomeric data of magnanimity by feat of it, the development advanced by leaps and bounds.
Invention content
The purpose of the present invention is to provide overcome the deficiency of data and calculating in existing computing technique merged, by cloud
End is organically integrated with extra large end, completes event discovery jointly by real-time, interactive in Hai Duan, one kind of decision-making treatment is based on Hai Yun
The Internet of Things Information Interoperability method of computing architecture.
The purpose of the present invention is realized by following technical solution：
A kind of Internet of Things Information Interoperability method based on extra large cloud computing framework, includes the following steps：
Step 1：The framework model of the extra large cloud computing of construction one.The model is made of extra large end and high in the clouds two parts.In sea
Under the collaborative perception cooperation of extra large end node, event discovery, decision etc. are completed by real-time, interactive around jointly for end, fringe node
Processing provides the service of quick-reaction capability and minimal service radius, maximum local intelligence；Service only just can be transmitted if necessary
High in the clouds is asked to provide support.Beyond the clouds, supercomputing center to extra large end handle push away data important results or decision information into
The necessary storage of row, and support the application of Internet of Things push-model.
Step 2：Intermediate forwarding nodes will cache information.The caching is limited by the life cycle set, is being survived
In period, other subnet nodes are then directly obtained from the cache node when the message to caching has same requirements, rather than from
Information source obtains, and saves the expense of information acquisition times and network；Outside life cycle, the information of caching is buffered node and deletes
It removes, prevents a large amount of cache information from occupying the performance of the node.
Step 3：Real-time stream is handled using push-model.Subscription for magnanimity asks to contain not in expression-form
It determines element, proposes partial predicate coupling path method, and analyze the XPath path expressions of filtration treatment.
Step 4：Design filters matching process based on suffix tree automaton.This method utilizes tree automaton technology, after introducing
Sew thought, using the bottom-up push-model method of no order tree automaton, processing contains descendants's axis and uncertain element complexity knot
The subscription of structure is asked, it is contemplated that tree automaton have the characteristics that abundant ability to express and subscription ask two aspect of labyrinth because
Element effectively reduces the intermediate state of a large amount of identical transfers in data handling procedure, avoids computing repeatedly for state set.
The beneficial effects of the present invention are：
Internet of Things Information Interoperability method proposed by the present invention based on extra large cloud computing framework, overcomes existing computing technique
The deficiency of data and calculating merged in (such as cloud computing calculates pattern centered on IP) organically integrates in high in the clouds and extra large end,
The processing such as event discovery, decision are completed jointly by real-time, interactive in Hai Duan, and service request high in the clouds only just can be transmitted if necessary
It provides and supports, realize the reasonable distribution of Internet resources.And by centered on information, cache node is to message in information repeating process
It is cached, and is transmitted to the node of same requirements in subnet.Utilize the bottom-up push-model method of no order tree automaton, place
The subscription request containing descendants's axis and uncertain element labyrinth is managed, a large amount of identical transfers in data handling procedure are effectively reduced
Intermediate state, avoid computing repeatedly for state set.Rational fringe node and push technology using network is to significantly
Improve the utilization ratio of the network information.
Description of the drawings
Fig. 1 is based on extra large cloud computing configuration diagram；
Fig. 2 is based on extra large cloud computing Schema information transmission schematic diagram；
Fig. 3 is service flow diagram；
Fig. 4 is the XML similarity calculation structure charts of position weight；
Fig. 5 is to be based on suffix tree automaton filter method flow chart.
Specific implementation mode
The specific implementation mode of the present invention is described further below in conjunction with the accompanying drawings：
Specific implementation mode one：
Illustrate present embodiment in conjunction with Fig. 1,2,3, the step of present embodiment is as follows：
Step 1：Based on the push-model Data Fusion Structure optimization method of extra large cloud computing by high in the clouds node (Cloud Node,
Abbreviation CN), extra large end node (Sea Node, abbreviation SN) constitutes.High in the clouds is that the cloud computing center that is provided by system operator is super
Node is constituted, they are most stable of memory nodes in system, has stronger calculating and storage capacity compared with other nodes,
And it can guarantee online for a long time in the case where machine is without physical fault.However, various resources in extra large cloud computing (including meter
Calculation, storage, data etc.) not merely come from high in the clouds node, each sea end node while obtaining service and resource, and
The abilities such as calculating, the storage of itself can be utilized to provide service simultaneously completely.Certainly, they are not the high-effect sections of stable operation
Point may be added or leave at any time extra large cloud computing environment, but the ability of this part edge node is also that can not be ignored, he
Possess on network 90% or more resource.Extra large end node is loop free, hierarchy nesting structure, each sub-network by 1 or
Several sub-networks form, and are multi-source heterogeneous between each subsystem, isomery is transparent to user here, and user only needs to propose
It is required that, subscribe to its information of interest, by finding, integrating these isomerized sub-systems based on extra large cloud computing framework, finally by user
User is given after information of interest processing.In addition, defining credit mechanism in extra large cloud computing, reach the Hai Duan of certain degrees of comparison
Node can also be converted into high in the clouds node.
Step 2：Service based on extra large cloud computing framework includes two major classes, and a kind of service is the Hai Duan calculated in sea, i.e., respectively
The IOTSCC distribution subscription services that kind fringe node is arranged in the form of SaaS, handle real-time Internet of Things perception data stream；
Another kind of is that service is completed beyond the clouds, i.e., the critical data or generate decision number that handled by various data centers, needs store
According to etc. tasks.
Step 3：It is common by real-time, interactive under the collaborative perception cooperation of fringe node extra large end node around in Hai Duan
The processing such as the discovery of completion event, decision provide the service of quick-reaction capability and minimal service radius, maximum local intelligence；Only
Service request high in the clouds just can be transmitted if necessary, support is provided.Beyond the clouds, supercomputing center pushes away data to what is handled at extra large end
Important results or decision information carry out necessary storage, and support the application of Internet of Things push-model.In information exchanging process, in
Between forward node information will be cached.The caching is limited by the life cycle set, within life cycle, other subnet sections
Point is then directly obtained from the cache node when the message to caching has same requirements, rather than is obtained from information source, is saved
The expense of information acquisition times and network；Outside life cycle, the information of caching is buffered knot removal, prevents from largely caching
Information occupies the performance of the node.
Step 4：By taking Fig. 3 as an example, illustrate the message transmission mode of the present invention.It is SN in figure interior joint A2Sub-network section
Point, node B, C, D, E CN1Sub-network node, and framework is as shown in the figure.Distribution subscription is believed when node E generates subscription demand
Cease CN1, as shown in colour changing arrow in figure, if network edge node A has an identical information, A such as schemes red at the path that releases news
Shown in arrow, the caching process of certain time is carried out to the information by way of node.It can be similar if being generated in cache-time interior nodes B
Subscription request then node B send subscription information to its upper layer node C, as shown in blue arrow in figure.At this time due to C pairs of node
The information is cached, then, the information of caching is directly sent to node B by node C, as shown in brown arrow in figure, without
Information is obtained from node A again.
Specific implementation mode two：
The step of embodiment is described with reference to Fig. 4, present embodiment is as follows：
Step 1：Calculate node semantic similarity.By two vertex ticks e1And e2It is divided into two word set E1And E2, and e1
And e2Contained vocabulary number is denoted as respectively | E1| and | E2|, by E1And E2The average value conduct of maximum similarity between middle word pair
Semantic similarity between two vertex ticks.This vertex ticks similarity is denoted as sim (E1,E2), specific formula for calculation such as (1) institute
Show：
Step 2：Similarity of character string between calculate node.Remember Ed (s1,s2) it is character string s1And s2Editing distance, Sims
(s1,s2) be two character strings similarity, calculation formula is such as shown in (2)：
Step 3：Calculate XML similarity of paths.It calculates for similarity of paths, is mainly analyzed from configuration aspects.In path
It is the factor for influencing similarity of paths and calculating that the position of similarity and node in the paths, which can claim context relation, between node.When
When calculating similarity of paths in XML document, path distance weight vector [D (1), D (2) ..., D (n)] is introduced, wherein 1,
2 ..., n is the subscript in path.Path position weight function D (i) is with the increase of i and the function that reduces, is met as follows
Condition：
Wherein D (i) is positive number.
If two path a1=(count1,x1,x2,...,xn) and a2=(count2,y1,y2,...,yn), a1And a2According to most
Long shared son belongs to sequence method and is matched, and obtains similar sub- category sequence a=(r1,r2,...,rn), count thus working as by path
The number occurred in preceding document.Each node in similar sub- category sequence a is in a1In under be designated as Sign=(l1,l2,...,ln),
In a2In under be designated as
Sign2=(l1,l2,...,lk).Therefore path a is obtained1And a2Similarity sim the following institute of calculation formula (4)
Show：
Step 4：Calculating similarity of XML documents.For X1And X2Path set XP in two XML documents1And XP2, respectively
It is denoted as XP1=(a1,a2,...,an) and XP2=(a1',a'2,...,a'n), match XP1And XP2In each path and record
The maximum similarity value for matching each path is Sim=(psim1,psim2,...,psimn), then use the path phase in XML document
Like degree calculation formula as shown in (5)：
In formula, m and n are X respectively1And X2Document interior joint number, then time of the XML document similarity calculating method
Complexity is O (mn).The similar computational methods of XML document of proposition can obtain the importance of the position weight of outbound path, the phase in path
More like number, then two XML documents are more similar.By calculating the similarity of XML document, the operation front end of Data Matching is made to locate in advance
Reason can quickly classify real-time stream according to similarity value, improve matched accuracy and matching speed.
Specific implementation mode three：
The step of present embodiment that embodiment is described with reference to Fig.5, is as follows：
Step 1：Heterogeneous file matching is handled, the present invention uses the bottom-up mode of tree automaton.To be first each
Leaf node is assigned to initial state value, new state value is then assigned to for it according to the label of the father node of leaf node, so
Recurrence is upwards until root node, if root node is assigned to receptive phase, shows that input tree is acceptable.
Step 2：The present invention uses suffix thought.I.e. when handling the subscription paths XPath, opened from the end element in path
Begin a kind of matched viewpoint.Identical subscribe to can be passed through XPath path representations in processing procedure, and target in XPath is identical
Element merges, builds automatic machine, and subscribing to request is started with identical suffix element.It is called for subscribing to same section in request
Word coupling path, obtain different expression ways using different theories, for prefix thought, the table of suffix thought
Up to form there is less transition status to increase handling capacity to reduce number of states in running stack, improves filtering effect
Rate.This method matches the subscription in predicate paths using the processing of suffix thought containing a large amount of parts, in conjunction with no order tree automaton the bottom of from
Upward processing method, also overcomes the problem of overcoming " XEBT machine n items subscription needs n tree automaton " simultaneously
The problem of " predicate matching needs to carry out after structure matching in XTAFilter ".
Step 3：For all PTASCreate an original state (number of state indexes 1).If inputting one first
XPath is subscribed to, C-PTASThen created since original state.One new XPath, which is subscribed to, to be subscribed, will be corresponding by its
PTASIt is added to C-PTASIn.This method starts that subscription request need to be initialized and is converted into XPath expression formulas, after receiving pretreatment
XML document, according to value calculating similarity of XML documents value, it, which is classified and inputs SAX, is parsed, meanwhile, will largely part
Form a suffix tree automaton, and the label since leaf node with the identical path of suffix in predicate path, from bottom to
Upper processing is until root node, recurrence complete filtering matching.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (3)
1. a kind of Internet of Things Information Interoperability method based on extra large cloud computing framework, which is characterized in that include the following steps：
Step 1：The framework model of the extra large cloud computing of construction one, the model are made of high in the clouds node and extra large end node two parts,
Under the collaborative perception cooperation of extra large end node, event discovery, decision are completed by real-time, interactive around jointly for Hai Duan, fringe node
Processing just can be transmitted service request high in the clouds and provides support if necessary, and beyond the clouds, supercomputing center in extra large end processing to pushing away
Data important results or decision information carry out necessary storage；
Step 2：Intermediate forwarding nodes will cache information, which is limited by the life cycle set, in life cycle
Interior, other subnet nodes are then directly obtained from the cache node, when the message to caching has same requirements in life cycle
Outside, the information of caching is buffered knot removal；
Step 3：Real-time stream is handled using push-model, it is uncertain for that can contain in the subscription request expression-form of magnanimity
Element proposes partial predicate coupling path method, and analyzes the XPath path expressions of filtration treatment；
Step 4：Design filters matching process based on suffix tree automaton, and this method utilizes tree automaton technology, introduces suffix and thinks
Think, using the bottom-up push-model method of no order tree automaton, handles containing descendants's axis and uncertain element labyrinth
Request is subscribed to, including tree automaton has the characteristics that abundant ability to express and subscribes to request two aspect factor of labyrinth.
2. a kind of Internet of Things Information Interoperability method based on extra large cloud computing framework, which is characterized in that the high in the clouds described in step 1
It is that the cloud computing center super node provided by system operator is constituted, in the cloud computing that high in the clouds node, that is, system operator provides
Heart super node；The extra large end node is loop free, hierarchy nesting structure, and each sub-network is by 1 or several sub-networks
It forms, is multi-source heterogeneous between each subsystem, isomery is transparent to user here.
3. a kind of Internet of Things Information Interoperability method based on extra large cloud computing framework, which is characterized in that the part described in step 3
Predicate matching Path Method specifically includes following steps：
Step (1)：Calculate node semantic similarity, by two vertex ticks e1And e2It is divided into two word set E1And E2, and e1With
e2Contained vocabulary number is denoted as respectively | E1| and | E2|, by E1And E2The average value of maximum similarity between middle word pair is as two
Semantic similarity between vertex ticks, this vertex ticks similarity are denoted as sim (E1,E2), specific formula for calculation is such as shown in (1)：
Step (2)：Similarity of character string between calculate node, note Ed (s1,s2) it is character string s1And s2Editing distance, Sims (s1,
s2) be two character strings similarity, calculation formula is such as shown in (2)：
Step (3)：It calculates XML similarity of paths and introduces path distance weights when calculating similarity of paths in XML document
Vectorial [D (1), D (2) ..., D (n)], wherein 1,2 ..., n is the subscript in path, path position weight function D (i) be with
The increase of i and the function reduced, meet following condition：
Wherein D (i) is positive number,
If two path a1=(count1,x1,x2,...,xn) and a2=(count2,y1,y2,...,yn), a1And a2It is total according to longest
It enjoys sub- category sequence method to be matched, obtains similar sub- category sequence a=(r1,r2,...,rn), count thus path ought be above
The number that occurs in shelves, each node in similar sub- category sequence a is in a1In under be designated as Sign=(l1,l2,...,ln), in a2In
Under be designated as Sign2=(l1,l2,...,lk), therefore obtain path a1And a2Similarity sim the following institute of calculation formula (4)
Show：
Step (4)：Calculating similarity of XML documents, for X1And X2Path set XP in two XML documents1And XP2, it is denoted as respectively
XP1=(a1,a2,...,an) and XP2=(a '1,a′2,...,a′n), match XP1And XP2In each path and record matching
The maximum similarity value of each path is Sim=(psim1,psim2,...,psimn), then use the similarity of paths in XML document
Calculation formula is such as shown in (5)：
In formula, m and n are X respectively1And X2Document interior joint number, then the time of the XML document similarity calculating method is complicated
Degree is O (mn).
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