CN101667187A - Compound intellectual cloud method based on P2P computing technology - Google Patents
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Abstract
The invention discloses a compound intellectual cloud method based on a P2P computing technology, in particular a compound intellectual cloud method based on a P2P computing technology, being suitablefor being widely shared by various file types of encyclopedic knowledge information resources. In order to support a network knowledge sharing system with large information content and user number, an advanced information technology can be adopted, whereas a cloud computing technology is an ideal choice. However, a series of problems still exist by simply adopting the cloud computing technology to establish an intellectual cloud. The invention utilizes the idea of 'peer-to-peer node' of the P2P computing technology to enable everyone to not only jointly devote wisdom and knowledge, but also jointly devote storage resources and information resources of various kinds of data, software and the like on each user computer, thereby mobilizing the force of all users of the Internet to actively communicate and share. The patent of the invention provides the architecture of an intellectual cloud based on the P2P computing technology and a work flow about the lemma inquiry and input of the intellectual cloud based on the P2P computing technology.
Description
Technical field
The present invention is a kind of being used in the open network computing environment based on the internet, adopts Computing Technology (Peer-to-Peer Computing) and cloud computing computing technique (Cloud Computing) to make up a kind of extensively shared compound knowledge cloud method of encyclopaedic knowledge information resources that is applicable to various file types more flexibly.Present technique belongs to infotech class applications such as Distributed Calculation, computer network, infosystem.
Background technology
The internet has become the important media of quick acquire knowledge, and network knowledge is under the state of very fast development, by the automatic Search Results that technological means produces, can't satisfy user's search need.Bid ranking, a large amount of commercial content make search engine disappointing to the Search Results of knowledge.Numerously in the search engine can't arrive the page, allow it not catch up with the demand of internet gradually.
At the demand of vast Internet user for " extensively seek knowledge, look for the truth and know ", some very popular knowledge sharing systems have been born at present.Wherein global foremost be wikipedia (Wikipedia, the trade mark of Wikimedia Foundation), be one based on wiki (wiki one speech derives from Hawaiian " weekeeweekee ", the wiki here refers to a kind of hypertext system, seating surface is to the collaboration type writing of community, also comprise simultaneously one group of aid of supporting this writing) the multilingual network encyclopedia of technology, but be a dynamic free access and editor's global knowledge body.Also be known as " people's encyclopedias ".Wikipedia has been responsible for keeping by Wikimedia Foundation since January 15 calendar year 2001 formal the establishment, and wikipedia all has from all over the world many participants carry out thousands of times editors and create new clauses and subclauses every day.By on April 4th, 2008, the English wikipedia of wikipedia entry number first has 2,310,000 clauses and subclauses, and the version of all 255 kinds of language is broken through 1,000 ten thousand clauses and subclauses altogether, total registered user also surmounts 1,000 ten thousand people, and most of page can use browser to read and revise by anyone.The Chinese wikipedia formally starts from October, 2002, and 250000 clauses and subclauses (data statistics derives from wikipedia Chinese website statistics by in April, 2009) have been arranged at present.
Another famous network encyclopedia is " Baidu's encyclopaedia ", and it is intended to create an intellectual encyclopedia of Chinese of containing all spectra knowledge, serving all Internet users.Baidu's encyclopaedia provide an internet all with the platform of browsing, create, improve content that per family can equality.All Chinese Internet users Baidu's encyclopaedia can both find oneself want comprehensively, accurately, objective definition property information, can also create the content that meets rule, still do not include, or existing entry be carried out useful additional perfect.
Interactive encyclopaedia then is the knowledge interactive web site of being created by the online Science and Technology Ltd. of interaction, imitates some most important Volunteerism Programme of 20th century, invites the netizen by writing, and finishes maximum Chinese encyclopedical the compiling in the whole world.The user can real-time online creates, cooperates, edits and issue with regard to interested content jointly with Internet user from the whole world.Interactive encyclopaedia is to contain the most extensive content, network Chinese encyclopaedia based on the human-edited, by on Dec 18th, 2007, the interactive encyclopaedia entry number of only building a station more than 2 years reaches 1,600,000, editor person reaches 270,000, considerably beyond " Encyclopadia Sinica " first published 7.8 ten thousand clauses and subclauses consuming time 15 years, 20,000 station affairs.Interactive encyclopaedia provides content service for search engine and numerous website, through garbled content manually, has saved loaded down with trivial details search procedure, directly arrives the abundant in content entry page, has fully optimized user experience.
For support information amount and user's number average network knowledge shared system in large scale, must adopt advanced infotech, the cloud computing technology is desirable selection.This noun of cloud computing may be to have used " electron cloud " in the quantum physics (Electron Cloud), emphasizes the diffusivity of information processing, immanent distributivity and social feature.Cloud computing is distributed on the computing equipment of a large amount of cheapnesss computing and data storage by making up the computer cluster of high performance-price ratio, thereby the distributed storage and the simple Distributed Calculation platform of magnanimity are provided.Characteristics such as the easy programming of cloud computing platform, high fault-tolerant, convenient expansion make the distributed treatment of handling ultra-large data become a reality.In Google (Google), Yahoo (Yahoo) and Amazon companies such as (Amazon), the cloud computing technology has obtained using widely.
Cloud computing thought and technology are used for the large scale network knowledge sharing system, have promptly constituted " knowledge cloud " environment.But angle from macroscopic view, present knowledge cloud is for user's experience, also only be a kind of based on traditional browser/server pattern (Browser/Server, abbreviation B/S) network method of service, because though all intellectual information resources are to be created jointly and safeguarded by the information service provider of website and user, but task such as information stores, search all is the carrying out that carries out at server end, and data also all are stored in server end.Information type in the present knowledge cloud is text mostly, perhaps is aided with illustrative picture and relevant hyperlink at the most, and the form of expression is single, also exists a series of problems such as load inequality, single point failure, the wasting of resources.At these problems, the present invention proposes and make up a kind of extensively shared compound knowledge cloud method of encyclopaedic knowledge information resources that is applicable to various file types more flexibly based on Computing Technology.
Summary of the invention
Technical matters: the objective of the invention is to propose a kind of compound knowledge cloud method based on Computing Technology, based on this method can make up a kind of than existing diverse network encyclopedia more flexibly, more reliable, resource sharing more widely, be applicable to the encyclopaedic knowledge information resource share platform of various file types.
Technical scheme: the purpose of this invention is to provide a kind of compound knowledge cloud method based on Computing Technology, this method in line with equality, cooperate, share, internet spirit freely, and " node equity " thought of utilizing Computing Technology to praise highly, everyone not only contributes wisdom and knowledge to cooperate jointly and writes encyclopedia, also contribute storage resources and information resources such as various data, software on each subscriber computer jointly, give full play to all users' of internet strength, actively exchange and share.
One, based on the architecture of the compound knowledge cloud method of Computing Technology
Widespread use along with Internet technology, emerge a series of new-type network computing techniques, platform and application systems such as cloud computing, progressively become network calculations pattern with typicalness, calculate and storage resources based on making full use of networking, integrate information and application on internet and the distinct device better, all calculating, storage resources are linked together, realize that the cooperation of maximum magnitude is shared with resource, reach high-level efficiency, calculate target cheaply.Characteristics such as the easy programming of cloud computing platform, high fault-tolerant, convenient expansion make the Distributed Calculation of handling ultra-large data become a reality.This just makes employing cloud computing technology make up quantity of information and all very huge network encyclopedia knowledge sharing system of userbase becomes desirable selection.Knowledge sharing system based on the cloud computing technology promptly is referred to as " knowledge cloud ".
But, though present cloud computing also tends to utilize cheap calculating and memory device that various services are provided, but think that simply network terminal node (user owns) only is the consumer of calculation services, various calculating, processing, storage etc. are all carried out at server end, consider not enough for the various available potential resources that terminal node contained.In fact, terminal node itself also has various calculating, storage even information resources, and usually is in idle state, and the magnanimity resource that the magnanimity terminal node of access internet is had has been wasted.
Computing Technology is then paid close attention to the fringe node based on the internet, the thought that equity is calculated changes Internet original C/S and calculates (Client/Server Computing, customer) or B/S calculates asymmetric like this computation schema, each node (Peer) status equity, can become the user and the supplier of service simultaneously, this is for large-scale information sharing, direct communication and collaborative work provides flexibly, extendible computing platform.The resource that peer node in the equity computing environment has comprises hardware resources such as CPU, internal memory, external storage, also comprises software resources such as data, program.The owner of node has the right of arranging these resources, and promptly the owner of resource can determine opportunity, quantity and the mode that resource is used, and can further bring into play the advantages such as spanning space-time, multimedia, interactivity, high efficiency of cloud computing.
Computing Technology is applied to cloud computing platform, in cloud computing environment based on the internet, the various resources of polymerization (calculating, storage, data etc.) will not merely come from server node, each terminal node in the cloud computing environment also is to utilize the abilities such as calculating storage of self that certain service is provided simultaneously fully in service of obtaining and resource.Certainly, be different from can stable operation the high-performance server node, also be different from the cluster server node that system can directly manage control concentratedly, a large amount of terminal nodes can add and withdraw from cloud computing environment dynamically, randomly.
Compound knowledge cloud environment based on Computing Technology has comprised following several nodes, as shown in Figure 1:
(1) door and task scheduling server node
(2) data processing and storage server node
(3) user terminal node
Angle from resource, based on the resource in the compound knowledge cloud of Computing Technology be not only plain text or hypertext in the traditional knowledge shared system, also comprise multimedia, RTF (Rich Text Format, rich text format) document, software, graph image and Film Animation etc.Same resource can be present on data processing and storage server node and the user terminal node simultaneously, in order to alleviate the burden of server node, when a certain terminal node wants to obtain a certain knowledge information resource, at first obtain this resource from the user terminal node, if not during this resource, just to server node, go to obtain this resource on the user terminal node.
If but the resource on all terminal nodes is all backed up at server node, will take a large amount of server stores resources, and a lot of resource may be falseness or wrong.Therefore system must set up appropriate information value assessment mechanism, selects that valuable resource backups on the server node on the terminal node.
Specifically the mode of concentrating evaluation and the distributed evaluation of each terminal user to combine by server node is estimated, and the process of evaluation is:
1, after a certain user node is being read the information resources that another node provides, value to this resource is estimated, think valuable positive evaluation that give, think nugatory negative evaluation that promptly gives, evaluation result all is stored in door and task scheduling server node;
2, door and task scheduling server node carry out cumulative calculation to all evaluations, and threshold value is set, and are a tlv triple:
(the positive number of times of estimating, negative evaluation number of times, the positive number of times/overall merit number of times of estimating)
The information resources that door and task scheduling server node reach set threshold value to the overall assessment value again at server end by artificial careful audit, the information resources of will audit passing through are extracted and are backuped on data processing and the storage server node.
Two, based on the workflow of the compound knowledge cloud of Computing Technology
This compound knowledge cloud method organically blends Computing Technology, cloud computing and knowledge sharing system, has comprised door and task scheduling server node, data processing and storage server node, user terminal node in the compound knowledge cloud environment based on Computing Technology; Emphasize at a certain entry of inquiry and make full use of resource on the peer node when creating a certain entry based on the compound knowledge cloud method of Computing Technology; Comprise the information value evaluation mechanism in the compound knowledge cloud method based on Computing Technology, utilize this mechanism to select that valuable resource backups on the server node on the terminal node.
When a certain entry of inquiry,
Step 21: the user terminal node is at first logined the door and the task scheduling server node of knowledge cloud system, and imports article name or the keyword that will inquire about;
Step 22: door and task scheduling server node are searched the login online information and the knowledge information list information of current all user terminal nodes according to query requests;
Step 23: be present on current online certain user's terminal node if search the entry information that the active user inquires about, then give active user's node, otherwise change step 5 with these users' address and information feedback;
Step 24: active user's node directly sends request to the terminal node that has this entry relevant knowledge information according to the information that server provides, and this user node of hope purpose provides the node of knowledge information knowledge information will be fed back this node; If the user also needs the official information on data processing and the storage server node, change step 5, otherwise change step 6;
Step 25: active user's node sends the official information request that needs on data processing and the storage server node to door and task scheduling server, door and task scheduling server should ask to issue data processing and storage server node as a subtask, and data processing and storage server node will feed back this node with relevant knowledge information after processing.
Step 26: user node was estimated information after consulting this entry relevant information.
When creating a certain entry:
Step 31: at first whether inquiry has existed this entry, if have then check whether self has existed about the relevant information of existing entry, if have and relevant information has existed then abandons returning, on the server page, create one but relevant information is different with own information about this entry and link the sensing local resource if having, and will be on the resource brief introduction send server page for other querying node, if this entry then change step 2 not;
Step 32: on the server page, newly create this entry, and resource brief introduction send server end is supplied other querying node, create peer link, point to the local resource of oneself.
Described information value evaluation mechanism is:
1) mode of specifically concentrating evaluation and the distributed evaluation of each terminal user to combine by server node is estimated;
2) process of Ping Jiaing is: after a certain user node is being read the information resources that another node provides, value to this resource is estimated, think valuable positive evaluation that give, think nugatory negative evaluation that promptly gives, evaluation result all is stored in door and task scheduling server node; Door and task scheduling server node carry out cumulative calculation to all evaluations, and threshold value is set, and are one: positive number of times, negative evaluation number of times, the positive tlv triple of estimating number of times/overall merit number of times estimated; Door and task scheduling server node carry out careful audit at server end by artificial concentrating again to the information resources that the overall assessment value reaches set threshold value, and the information resources that audit is passed through are extracted and backuped on data processing and the storage server node.
Beneficial effect: the compound knowledge cloud method based on Computing Technology can effectively expand the function of existing network knowledge shared system and promote performance, reaches following beneficial effect:
(1) load balancing.Because information resources are scattered in data processing and storage server node and user node, user node preferentially becomes the supplier of information resources, has therefore alleviated the burden of data processing and storage server node;
(2) high resource utilization.Method has not only been utilized the stable resource of data processing and storage server node, has also utilized the huge calculating and the storage resources that contain on numerous idle domestic consumer's nodes;
(3) high robust.Because method has adopted the mechanism of standby redundancy, important information resources are at data processing and storage server node and domestic consumer's node, so can there be the single point failure problem in system, have higher robustness.
Description of drawings
Fig. 1 is based on the compound knowledge cloud environment of Computing Technology, has comprised door and task scheduling server node, data processing and storage server node and user terminal node three category nodes.
Fig. 2 is based on the workflow of the compound knowledge cloud of Computing Technology, is included in the inquiry entry and creates two kinds of situations of entry.
Embodiment
Based on the workflow of the compound knowledge cloud of Computing Technology as shown in Figure 2:
When a certain entry of inquiry:
Step 1 user terminal node is at first logined the door and the task scheduling server node of knowledge cloud system, and imports article name or the keyword that will inquire about;
Step 2 door and task scheduling server node are searched the login online information and the knowledge information list information of current all user terminal nodes according to query requests;
Be present on current online certain user's terminal node if step 3 searches the entry information that the active user inquires about, then give active user's node, otherwise change step 5 these users' address and information feedback;
Step 4 active user node directly sends request to the terminal node that has this entry relevant knowledge information according to the information that server provides, and this user node of hope purpose provides the node of knowledge information knowledge information directly will be fed back this node; If the user also needs the official information on data processing and the storage server node, change step 5, otherwise change step 6;
Step 5 active user node sends the official information request that needs on data processing and the storage server node to door and task scheduling server, door and task scheduling server should ask to issue data processing and storage server node as a subtask, and data processing and storage server node will feed back this node with relevant knowledge information after processing.
Step 6 user node was estimated information after consulting this entry relevant information.
When creating a certain entry:
Step 1 at first inquires about whether there has been this entry, if have then check whether self has existed about the relevant information of existing entry, if have and relevant information has existed then abandons returning, on the server page, create one but relevant information is different with own information about this entry and link the sensing local resource if having, and will be on the resource brief introduction send server page for other querying node, if this entry then change step 2 not;
Step 2 is new this entry of creating on the server page, and resource brief introduction send server end is supplied other querying node, creates peer link, points to the local resource of oneself.
Compound knowledge cloud method based on Computing Technology proposed by the invention should be deployed in the distributed computing environment.For convenience of description, we suppose following application example: utilize the computing machine of network interconnection device such as hub and 6 mainstream configurations to constitute typical distribution formula computing environment, serve as different roles respectively:
(1) door and task scheduling server node (1 computing machine, called after J1)
(2) data processing and storage server node (2 computing machines, called after S1, S2)
(3) user terminal node (3 computing machines, called after U1, U2, U3)
Comprise following basic module on door and the task scheduling server node:
(1) Web server module, the Web page that provides the user to insert, the user registers, inquires about by the page and adds the entry content;
(2) database module, storage and leading subscriber nodal information, server resource index list and user node resource index catalogue;
(3) task scheduling modules is responsible for the request of acceptance from the user, and will be asked to issue data processing and storage server node and user terminal node as task;
(4) information evaluation module is responsible for node being gathered the evaluation of information and calculating.
Data processing and storage server node comprise following basic module:
(1) database module, storage server client information resource;
(2) information searching module is responsible for retrieving relevant information and return to user node from local data base according to user's request;
(3) information updating module is responsible for and will be added in the database from the information of user's node, or the information in the database is made amendment.
Comprise following basic module on the user terminal node:
(1) database module, storage local information resource;
(2) information and dependent resource management module are utilized the relevant sharable information resources of database and file system management user terminal node this locality;
(3) information searching module is responsible for extracting relevant information from this locality and returning to user node according to other user's request.
Claims (4)
1. compound knowledge cloud method based on Computing Technology, it is characterized in that this compound knowledge cloud method organically blends Computing Technology, cloud computing and knowledge sharing system, has comprised door and task scheduling server node, data processing and storage server node, user terminal node in the compound knowledge cloud environment based on Computing Technology; Emphasize at a certain entry of inquiry and make full use of resource on the peer node when creating a certain entry based on the compound knowledge cloud method of Computing Technology; Comprise the information value evaluation mechanism in the compound knowledge cloud method based on Computing Technology, utilize this mechanism to select that valuable resource backups on the server node on the terminal node.
2, the compound knowledge cloud method based on Computing Technology according to claim 1 is characterized in that when a certain entry of inquiry:
Step 21: the user terminal node is at first logined the door and the task scheduling server node of knowledge cloud system, and imports article name or the keyword that will inquire about;
Step 22: door and task scheduling server node are searched the login online information and the knowledge information list information of current all user terminal nodes according to query requests;
Step 23: be present on current online certain user's terminal node if search the entry information that the active user inquires about, then give active user's node, otherwise change step 5 with these users' address and information feedback;
Step 24: active user's node directly sends request to the terminal node that has this entry relevant knowledge information according to the information that server provides, and this user node of hope purpose provides the node of knowledge information knowledge information will be fed back this node; If the user also needs the official information on data processing and the storage server node, change step 5, otherwise change step 6;
Step 25: active user's node sends the official information request that needs on data processing and the storage server node to door and task scheduling server, door and task scheduling server should ask to issue data processing and storage server node as a subtask, and data processing and storage server node will feed back this node with relevant knowledge information after processing.
Step 26: user node was estimated information after consulting this entry relevant information.
3, the compound knowledge cloud method based on Computing Technology according to claim 1 is characterized in that when creating a certain entry:
Step 31: at first whether inquiry has existed this entry, if have then check whether self has existed about the relevant information of existing entry, if have and relevant information has existed then abandons returning, on the server page, create one but relevant information is different with own information about this entry and link the sensing local resource if having, and will be on the resource brief introduction send server page for other querying node, if this entry then change step 2 not;
Step 32: on the server page, newly create this entry, and resource brief introduction send server end is supplied other querying node, create peer link, point to the local resource of oneself.
4, the compound knowledge cloud method based on Computing Technology according to claim 1 is characterized in that described information value evaluation mechanism is:
1) mode of specifically concentrating evaluation and the distributed evaluation of each terminal user to combine by server node is estimated;
2) process of Ping Jiaing is: after a certain user node is being read the information resources that another node provides, value to this resource is estimated, think valuable positive evaluation that give, think nugatory negative evaluation that promptly gives, evaluation result all is stored in door and task scheduling server node; Door and task scheduling server node carry out cumulative calculation to all evaluations, and threshold value is set, and are one: positive number of times, negative evaluation number of times, the positive tlv triple of estimating number of times/overall merit number of times estimated; Door and task scheduling server node carry out careful audit at server end by artificial concentrating again to the information resources that the overall assessment value reaches set threshold value, and the information resources that audit is passed through are extracted and backuped on data processing and the storage server node.
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| CN104412295A (en) * | 2012-03-19 | 2015-03-11 | 株式会社东芝 | Service control apparatus, service control method and computer readable medium |
| CN107463151A (en) * | 2017-07-17 | 2017-12-12 | 昆明理工大学 | A kind of complex surface machining multidimensional knowledge cloud cooperating service method |
| CN111212082A (en) * | 2019-01-11 | 2020-05-29 | 深圳联合产权交易所股份有限公司 | Resource value evaluation user management method based on cloud platform and related product |
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