CN102843420A - Fuzzy division based social network data distribution system - Google Patents
Fuzzy division based social network data distribution system Download PDFInfo
- Publication number
- CN102843420A CN102843420A CN2012102265351A CN201210226535A CN102843420A CN 102843420 A CN102843420 A CN 102843420A CN 2012102265351 A CN2012102265351 A CN 2012102265351A CN 201210226535 A CN201210226535 A CN 201210226535A CN 102843420 A CN102843420 A CN 102843420A
- Authority
- CN
- China
- Prior art keywords
- network
- node
- subscription
- subscriber
- fuzzy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a fuzzy division based social network data distribution system. Multi-layer topology based overlay network organization nodes are adopted for representing users in a network, and user nodes are clustered in a plurality of clusters in a fuzzy clustering mode; a subscriber generates subscriptions with various themes according to locally stored buddy lists and group lists thereof; a multilayer topology sends each subscription theme to any random node in a corresponding target cluster, and caches the subscription theme in the node; a theme event is copied to each node in a target cluster through gossip, and in the process of spreading and copying the event, if some node caches the subscription of the event and finds that the subscription is matched with the event, the event is sent to a corresponding subscriber immediately; otherwise, an operation of continuing to carry out a deepgoing operation is performed until the bottommost-layer sub-network reaches; if an effect of successful matching is not achieved until the bottommost-layer sub-network reaches, a copying-matching operation is repeatedly performed according to a preset interval cycle until the matching is successful. The system disclosed by the invention has the advantages of efficient robustness and efficient data distribution.
Description
Technical field
The present invention relates to network field, relate in particular to a kind of based on the fuzzy social network data dissemination system of dividing.
Background technology
Along with development of internet technology and people continuous growth, application have been produced much based on the data distribution to the demand of information sharing.But social networks is universal day by day; The extensive application of technology such as distributed network and cloud computing; The data volume of sharp increase and highly dynamic network environment have also been brought huge pressure to these application, and the dynamic of network environment is had higher requirement to the robustness of data distribution technology.Especially for for the application of social networks, the user group that the various data how in dynamic network environment, to produce data source are distributed to different demands rapidly and accurately is the key technical problem that needs solution.And present existing distributed data distribution method towards social networks, or can not adapt to the characteristics of social networks, or do not realize the function of data distribution that common centralized network service is provided fully.
Approximate match is a mature technique in fuzzy mathematics field, and the fuzzy representation Xing Ze of network user's relation is arised from nearest one, two year.Fuzzy expression to social relationships has abundant information, flexible, the adaptable characteristics of performance, and can well embody the diversity and the polytropy of people's interest.And utilize approximate match to alleviate node load, the efficient that improves forwarded also is a kind of method of habitual realization load balancing.Simultaneously; It also is a research focus in social networks field that user application information is come the auxiliary network analysis; A large amount of scholars is through the analysis and research user characteristics to data such as user's in the network landing time, place, IP; Define grid and predictive user behavior, and through the analysis of structure, behavior pattern and the user experience etc. of network being excavated " society-culture " relation that wherein contains.
Publish/subscribe system is a distributed data distribution model commonly used, and in the publish/subscribe pattern based on theme, the data source nodes issue has the data of subject information, i.e. incident; Subscriber through subscribing is expressed the interest to particular topic, waits for then and obtains event matching.The route of subscription/incident mainly is to carry out through intermediate node with transmitting, and publisher and subscriber need not to know whom its content distributed recipient is, has therefore realized the low coupling between the user, has guaranteed the efficient and the promptness of data transmit-receive simultaneously.
Therefore, the data distribution systems of developing based on these two kinds of mature technique can either well adapt to the characteristics of network in the reality, utilizes social relationships information fully, also can realize transfer of data efficiently, reduces data delay and network bandwidth consumption.And the existing distributed data distributing method or the robustness of the highly dynamic network environment of shortage reply; Can not realize the data distribution that the centralized network service provides; Therefore develop a kind of social characteristics that can adapt to network, the data distribution model that can adapt to its height dynamic and huge amount of information again is very necessary.
Summary of the invention
Defective to above-mentioned prior art existence; The object of the present invention is to provide a kind of based on the fuzzy social network data dissemination system of dividing; The social characteristics that can adapt to network can't be satisfied simultaneously to solve to have now, the technical problem of the data distribution of its height dynamic and huge amount of information can be adapted to again towards what the distributed data distribution method of social networks existed.
For achieving the above object, it is a kind of based on the fuzzy social network data dissemination system of dividing that the present invention provides, and may further comprise the steps:
Step 1: adopt based on the nerve of a covering organization node of multilayer topology and represent the user in the network with node; In every layer; Social property and concern information through to user profile are analyzed and are managed, with the user node fuzzy clustering in several bunches, and to bunch size limit;
Step 2: the subscription that the subscriber generates various themes according to the buddy list and the group list of its local storage;
Step 3: based on the multilayer topology of step 1 each topic of subscription is sent to certain random node in the respective objects bunch, and topic of subscription is cached in this node;
Step 4: subject events is copied to each node in the target bunch through gossip; In the process that event propagation duplicates; If certain nodal cache has the subscription of this incident, and find to subscribe to and the incident approximate match, then immediately this incident is transmitted to corresponding subscriber; Otherwise, continue deeply up to bottom sub-network;
Step 5: if in the step 4 until bottom sub-network successful match not yet, then duplicating of predetermined period repeating step four---matching operation at interval is until mating successfully.
Described based on the fuzzy social network data dissemination system of dividing according to preferred embodiment of the present invention, the topic of subscription in the step 2 also comprises timestamp information, in order to obtain the incident of missing, is specially:
The subscriber adds the into corresponding subscription of this theme with the timestamp of the particular topic incident of up-to-date reception; When certain node of target bunch is received the subscription that the subscriber sends, promptly transmit coupling topic of subscription and its timestamp than subscribing to the bigger incident of contained timestamp to the subscriber.
Described according to preferred embodiment of the present invention based on the fuzzy social network data dissemination system of dividing; Step 1 also comprises: when to the concern user of certain subject content when too much, the segmentation attribute based on subject content is divided into down this sub-network in one deck automatically.
Described according to preferred embodiment of the present invention based on the fuzzy social network data dissemination system of dividing; This node role that is divided three classes: keeper, fixed-line subscriber and mobile subscriber; Wherein, the keeper be responsible for define grid scope and border and leading subscriber entering and withdraw from; Fixed-line subscriber fixedly is subordinated to certain network, in this network range, logins and publishes, and mobility is not strong; The mobile subscriber paces up and down on the border of sub-network, often changes another network over to from a network, and mobility is stronger.
Described based on the fuzzy social network data dissemination system of dividing according to preferred embodiment of the present invention, in the multilayer topology nerve of a covering in the step 1, every layer sub-network all has theme separately, and the upper strata of this layer bunch has one at the bigger theme of scope semantically.
Described according to preferred embodiment of the present invention based on the fuzzy social network data dissemination system of dividing; On each top layer in this multilayer topology nerve of a covering and the mid-level network bunch ontology library is set, comprises the subject information of this layer network and the upper and lower network thereof in the ontology library.
Social network data dissemination system based on fuzzy division of the present invention adopts the node in the multilayer topological network to represent the user in the social networks; Rule topology relation between its different levels makes it can support route efficiently, and the content-based sub-network topology that its level internal dynamic is safeguarded helps the adaptive capacity of enhanced system to highly dynamic network environment.In every layer; Social property and concern information through to user profile are analyzed and are managed; In several bunches, make the user who pays close attention to same type of things gather in the same sub-network user node fuzzy clustering, to improve the load balance of information transmission efficiency and network.In the publish/subscribe pattern based on theme, the data source nodes issue has the data of subject information, i.e. incident; Subscriber through subscribing is expressed the interest to particular topic, waits for then and obtains event matching.The publisher issues incident and does not know whom incident issues at last, and the subscriber does not mind what incident come from yet.In social networks, the user mainly is to friendly neighbour of oneself and particular topic, and like tourism, physical culture etc., and these themes are signs of sub-network, so the distribution of the data in the social networks is mainly carried out in friendly neighbour and same sub-network.In this method; Node in the network is represented the user in the social networks; Rule topology relation in the multilayer topological network between different levels makes it can support route efficiently, and the content-based sub-network topology that its level internal dynamic is safeguarded helps the adaptive capacity of enhanced system to highly dynamic network environment.
The present invention is through the fuzzy expression for social relationships; Thereby abundant information, flexible, the adaptable characteristics of performance are arranged; And can well embody diversity and the characteristics of polytropy of people's interest, make full use of social relationships and utilize fuzzy social relationships that network is divided, making has the user of same interest to accumulate in same network; Increase the probability of data forwarding in the same network, supported route efficiently when realizing robustness highly.Therefore, compared with prior art, the present invention has realized adapting to the social characteristics of social networks simultaneously, can adapt to the data distribution of its height dynamic and huge amount of information again.Can be good at adapting to the characteristics of social networks, utilize social relationships information fully, also can realize transfer of data efficiently, reduce data delay and network bandwidth consumption, have the advantage that robustness efficiently and data are efficiently distributed.
Description of drawings
Fig. 1 is the process principle figure that the present invention is based on the fuzzy social network data dissemination system of dividing;
Fig. 2 is the network topology structure sketch map based on the multilayer topological network that blurs the social network data dissemination system application of dividing of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, specify the present invention.
A kind of based on the fuzzy social network data dissemination system of dividing, may further comprise the steps:
S11: adopt based on the nerve of a covering organization node of multilayer topology and represent the user in the social networks with node; In every layer; Social property and concern information through to user profile are analyzed and are managed, with the user node fuzzy clustering in several bunches, and to bunch size limit.
This step also comprises: when to the concern user of certain subject content when too much, the segmentation attribute based on subject content is divided into down this sub-network in one deck automatically.
See also Fig. 2, it is the network topology structure sketch map based on the multilayer topological network that blurs the social network data dissemination system application of dividing of the embodiment of the invention.Social networks is owing to a large amount of social informations that it comprised receive much concern, and reasonably utilizes these information to optimize the target that the network service is countless scholars.Based on this, the present invention adopts a kind of nerve of a covering organization node based on the multilayer topology.Node representative of consumer in this network; Rule topology relation between its different levels makes it can support route efficiently, and the content-based sub-network topology that its level internal dynamic is safeguarded helps the adaptive capacity of enhanced system to highly dynamic network environment.In every layer, analyze and manage through social property and concern information user profile, with the user node fuzzy clustering in several bunches, and to bunch size limit.When to the concern user of certain content when too much, the segmentation attribute based on its content is divided into down this sub-network in one deck again.
Simultaneously, the present invention has given different roles to different nodes.Through role that node is divided three classes: keeper, fixed-line subscriber, mobile subscriber and definition effect separately; Be responsible for by the keeper define grid scope and border and leading subscriber entering and withdraw from, fixed-line subscriber then fixedly is subordinated to certain network, in this network range, logins and publishes; Mobility is not strong; The mobile subscriber then paces up and down on the border of sub-network, often changes another network over to from a network, and mobility is stronger.When just having added sub-network, belong to the mobile subscriber, after after a while, then do not transfer fixed-line subscriber to if change with a node.Because whole network is based on social networks information, promptly user's social property and concern information are managed, and the definition of each child network is based on the discovery procedure of content, has overlapping each other.Simultaneously; To ambulant definition, be user's the division logon information and the focus that also are based on the user: the user produces new focus; Or moving to new area might make that all the user becomes the mobile subscriber from fixed-line subscriber, or becomes another network by a network.
Simultaneously, the division of network neither be fixed.Network on the sub-network rank merges or separates and can tackle the dynamic change of network better.Through with the customer relationship obfuscation, this problem Application of Fuzzy Clustering Analysis is come that network is carried out focus and is separated, and makes the user who pays close attention to same type of things gather in the same sub-network, to improve the load balance of information transmission efficiency and network.Adaptive for this network is become, the present invention also is provided with attention rate and keyword for each user and incident (being user's daily record of issuing, blog article etc.).When the scale of certain child network acquires a certain degree, can carry out cluster one time to this sub-network, promptly form next straton network.
In addition, in the multilayer of the present invention topology nerve of a covering, every layer sub-network all has theme separately, and the upper strata of this layer bunch has one at the bigger theme of scope semantically.As shown in Figure 1, sub-network themes as basketball, football, swimming, and its upper layer network theme as physical culture.
S12: the subscription that the subscriber generates various themes according to the buddy list and the group list of its local storage.
In the process of carrying out data forwarding; The subscriber is used for guiding the route of future event, in addition according to the subscription that the buddy list and the group list of its local storage generates various themes; Subscribe to the route that not only is used for guiding future event, also can be used to obtain the incident of missing.For realizing this purpose, the subscriber need add the into corresponding subscription of this theme with the timestamp of the particular topic incident of its up-to-date reception.
S13: based on the multilayer topology of step 1 each topic of subscription is sent to certain random node in the respective objects bunch, and topic of subscription is cached in this node.
S14: through gossip subject events is copied to each node in the target bunch, in the process that event propagation duplicates,, and find to subscribe to and event matches, then immediately this incident is transmitted to corresponding subscriber if certain nodal cache has the subscription of this incident; Otherwise, continue deeply up to bottom sub-network.
If comprise timestamp information in the theme, then after certain node of target bunch is received the subscription that the subscriber sends, it promptly transmits coupling topic of subscription and its timestamp than the bigger incident of the contained timestamp of subscription to the subscriber.Therefore, even incident is when the subscriber is not online, to issue, the subscriber also can obtain them through periodically sending the subscription with query function, has so promptly realized asynchronous multicast.In addition, the node of storage replication incident can periodically be deleted outmoded incident avoiding the increase in overhead of storage overhead according to the timestamp of incident, can be to other subscriber or directly inquire about to event publisher and go for the subscriber of deletion event.
S15: if in the step 4 until bottom sub-network successful match not yet, then duplicating of predetermined period repeating step four---matching operation at interval is until mating successfully.
The purpose of periodically subscribing to is to make the data of network distribute the variation and the node fluctuation that can adapt to node interest; Concrete period interval time can preestablish also and can be provided with according to the cycle of subscribing to transmission, and the time span of buffer memory is identical with the cycle of subscribing to transmission in the step 3.
The present invention judges whether to transmit through the information of analyzing and handling in subscription and the incident in content-based subscription/event model.In the multilayer nerve of a covering, every layer sub-network all has theme separately.Though subscribe to incident for each and to be provided with keyword, in transmittance process, following three kinds of situation possibly appear in the uncontrollability owing to actual content:
1) subscription/incident only is provided with the theme of sub-network.
2) subscription/incident only is provided with the theme of top layer or mid-level network bunch.
3) subscription/incident is provided with the theme of sub-network, is provided with the theme of top layer or mid-level network bunch simultaneously.
For this reason, the present invention is provided with ontology library on each top layer and mid-level network bunch, comprise the subject information of this layer network and the upper and lower network thereof in the storehouse.In order to reduce load, can not preserve the network information that does not directly link to each other with it in the mid-level network bunch, bottom sub-network is also only preserved the subject information of this sub-network and upper layer network thereof on its management node.The coupling of subscription/incident will be carried out based on this ontology library.For instance; Incident that themes as " Yao Ming " is sent from certain child network layer 2 network of (as theme as " NBA "); Arrive the neighbours that will be forwarded after its top layer bunch to this top layer bunch through the upper layer network bunch that themes as " basketball ", " physical culture "; Be other top layers bunch, like " literature ", " art ", " history " etc.Carry out approximate match downwards from bunch beginning of each top layer again, if the subscription of storing on the management node of " literature " network cluster can with this event matches, then this incident will be sent out at this network and lower floor's network transfer thereof.If do not match, then get into next straton network cluster, like " novel ", " prose ", " poem " etc.Because this theme degree of depth in the subject tree of network is darker, do not belong to the matching range of this top layer bunch, so bunch all send the copy of this incident of portion and get into next layer network for each neighbours.Every entering one layer network promptly can mate the theme and the event topic of this layer and next layer network thereof, if mate successfully, then through gossip incident is duplicated to all users in this network, stops forwarding simultaneously.If coupling is unsuccessful, then continue deeply till bottom sub-network.
The present invention is through the fuzzy expression for social relationships; Thereby abundant information, flexible, the adaptable characteristics of performance are arranged; And can well embody diversity and the characteristics of polytropy of people's interest, make full use of social relationships and utilize fuzzy social relationships that network is divided, making has the user of same interest to accumulate in same network; Increase the probability of data forwarding in the same network, supported route efficiently when realizing robustness highly.Therefore, compared with prior art, the present invention has realized adapting to the social characteristics of social networks simultaneously, can adapt to the data distribution of its height dynamic and huge amount of information again.Can be good at adapting to the characteristics of network, utilize social relationships information fully, also can realize transfer of data efficiently, reduce data delay and network bandwidth consumption, have the advantage that robustness efficiently and data are efficiently distributed.
The above; It only is preferable embodiment of the present invention; Be not that the present invention is done any pro forma restriction; Any content that does not break away from technical scheme of the present invention according to any simple modification, equivalent variations and the modification that technical spirit of the present invention is done above embodiment, all belongs to the scope of technical scheme of the present invention.
Claims (6)
1. the social network data dissemination system based on fuzzy division is characterized in that, may further comprise the steps:
Step 1: adopt based on the nerve of a covering organization node of multilayer topology and represent the user in the network with node; In every layer; Social property and concern information through to user profile are analyzed and are managed, with the user node fuzzy clustering in several bunches, and to bunch size limit;
Step 2: the subscription that the subscriber generates various themes according to the buddy list and the group list of its local storage;
Step 3: based on the multilayer topology of step 1 each topic of subscription is sent to certain random node in the respective objects bunch, and topic of subscription is cached in this node;
Step 4: subject events is copied to each node in the target bunch through gossip; In the process that event propagation duplicates; If certain nodal cache has the subscription of this incident, and find to subscribe to and event matches, then immediately this incident is transmitted to corresponding subscriber; Otherwise, continue deeply up to bottom sub-network;
Step 5: if in the step 4 until bottom sub-network successful match not yet, then duplicating of predetermined period repeating step four---matching operation at interval is until mating successfully.
2. the social network data dissemination system based on fuzzy division as claimed in claim 1 is characterized in that the topic of subscription in the step 2 also comprises timestamp information, in order to obtain the incident of missing, is specially:
The subscriber adds the into corresponding subscription of this theme with the timestamp of the particular topic incident of up-to-date reception; When certain node of target bunch is received the subscription that the subscriber sends, promptly transmit coupling topic of subscription and its timestamp than subscribing to the bigger incident of contained timestamp to the subscriber.
3. as claimed in claim 1 based on the fuzzy social network data dissemination system of dividing; It is characterized in that; Step 1 also comprises: when to the concern user of certain subject content when too much, the segmentation attribute based on subject content is divided into down this sub-network in one deck automatically.
4. as claimed in claim 1 based on the fuzzy social network data dissemination system of dividing; It is characterized in that; The said node role that is divided three classes: keeper, fixed-line subscriber and mobile subscriber, wherein, said keeper be responsible for define grid scope and border and leading subscriber entering and withdraw from; Said fixed-line subscriber fixedly is subordinated to certain network, in this network range, logins and publishes, and mobility is not strong; Said mobile subscriber paces up and down on the border of sub-network, often changes another network over to from a network, and mobility is stronger.
5. as claimed in claim 1 based on the fuzzy social network data dissemination system of dividing; It is characterized in that; In multilayer described in the step 1 topology nerve of a covering, every layer sub-network all has theme separately, and the upper strata of this layer bunch has one at the bigger theme of scope semantically.
6. as claimed in claim 5 based on the fuzzy social network data dissemination system of dividing; It is characterized in that; On each top layer in the said multilayer topology nerve of a covering and the mid-level network bunch ontology library is set, comprises the subject information of this layer network and the upper and lower network thereof in the said ontology library.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2012102265351A CN102843420A (en) | 2012-07-02 | 2012-07-02 | Fuzzy division based social network data distribution system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2012102265351A CN102843420A (en) | 2012-07-02 | 2012-07-02 | Fuzzy division based social network data distribution system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN102843420A true CN102843420A (en) | 2012-12-26 |
Family
ID=47370473
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2012102265351A Pending CN102843420A (en) | 2012-07-02 | 2012-07-02 | Fuzzy division based social network data distribution system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102843420A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104753977A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Seismic processing and interpretation infrastructure cloud resource scheduling method based on fuzzy clustering |
CN105072030A (en) * | 2015-07-02 | 2015-11-18 | 哈尔滨工程大学 | NDN (Named Data Networking) route system based on content clustering, and clustering query method therefor |
CN106412023A (en) * | 2016-09-05 | 2017-02-15 | 南京臻融软件科技有限公司 | Multi-source data distribution method based on distribution subscription mechanism |
CN106528804A (en) * | 2016-11-14 | 2017-03-22 | 南京邮电大学 | User grouping method based on fuzzy clustering |
CN109933496A (en) * | 2019-01-23 | 2019-06-25 | 平安科技(深圳)有限公司 | Alarm method, device, computer equipment and storage medium |
CN111651559A (en) * | 2020-05-29 | 2020-09-11 | 辽宁工程技术大学 | Social network user relationship extraction method based on event extraction |
US10860941B2 (en) | 2014-09-18 | 2020-12-08 | Huawei Technologies Co., Ltd. | Method and device for predicting information propagation in social network |
CN112100557A (en) * | 2020-09-01 | 2020-12-18 | 上海交通大学 | Combined matching system and method based on content publishing and subscribing |
RU2742542C1 (en) * | 2017-11-17 | 2021-02-08 | Бейджин Кингсофт Клауд Нетворк Текнолоджи Ко., Лтд. | Method, apparatus and equipment for transmitting data and readable data medium |
CN113919412A (en) * | 2021-09-02 | 2022-01-11 | 中国电子科技集团公司第二十九研究所 | Data distribution method, equipment and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080133541A1 (en) * | 2006-11-30 | 2008-06-05 | International Business Machines Corporation | Flexible Topic Identification in a Publish/Subscribe System |
CN101442466A (en) * | 2007-11-21 | 2009-05-27 | 华为技术有限公司 | Superpose network and implementing method |
CN102469115A (en) * | 2010-11-08 | 2012-05-23 | 电子科技大学 | Interest-community-based overlay network searching architecture in peer-to-peer (P2P) network |
-
2012
- 2012-07-02 CN CN2012102265351A patent/CN102843420A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080133541A1 (en) * | 2006-11-30 | 2008-06-05 | International Business Machines Corporation | Flexible Topic Identification in a Publish/Subscribe System |
CN101442466A (en) * | 2007-11-21 | 2009-05-27 | 华为技术有限公司 | Superpose network and implementing method |
CN102469115A (en) * | 2010-11-08 | 2012-05-23 | 电子科技大学 | Interest-community-based overlay network searching architecture in peer-to-peer (P2P) network |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104753977A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Seismic processing and interpretation infrastructure cloud resource scheduling method based on fuzzy clustering |
US10860941B2 (en) | 2014-09-18 | 2020-12-08 | Huawei Technologies Co., Ltd. | Method and device for predicting information propagation in social network |
CN105072030A (en) * | 2015-07-02 | 2015-11-18 | 哈尔滨工程大学 | NDN (Named Data Networking) route system based on content clustering, and clustering query method therefor |
CN105072030B (en) * | 2015-07-02 | 2019-01-15 | 哈尔滨工程大学 | A kind of name data network route system and its cluster querying method based on content clustering |
CN106412023A (en) * | 2016-09-05 | 2017-02-15 | 南京臻融软件科技有限公司 | Multi-source data distribution method based on distribution subscription mechanism |
CN106412023B (en) * | 2016-09-05 | 2018-07-27 | 南京臻融软件科技有限公司 | A kind of multi-source data distribution method based on distribution subscription mechanism |
CN106528804A (en) * | 2016-11-14 | 2017-03-22 | 南京邮电大学 | User grouping method based on fuzzy clustering |
CN106528804B (en) * | 2016-11-14 | 2019-04-12 | 南京邮电大学 | A kind of tenant group method based on fuzzy clustering |
RU2742542C1 (en) * | 2017-11-17 | 2021-02-08 | Бейджин Кингсофт Клауд Нетворк Текнолоджи Ко., Лтд. | Method, apparatus and equipment for transmitting data and readable data medium |
CN109933496A (en) * | 2019-01-23 | 2019-06-25 | 平安科技(深圳)有限公司 | Alarm method, device, computer equipment and storage medium |
CN111651559A (en) * | 2020-05-29 | 2020-09-11 | 辽宁工程技术大学 | Social network user relationship extraction method based on event extraction |
CN111651559B (en) * | 2020-05-29 | 2023-05-26 | 辽宁工程技术大学 | Social network user relation extraction method based on event extraction |
CN112100557A (en) * | 2020-09-01 | 2020-12-18 | 上海交通大学 | Combined matching system and method based on content publishing and subscribing |
CN112100557B (en) * | 2020-09-01 | 2022-11-29 | 上海交通大学 | Combined matching system and method based on content publishing and subscribing |
CN113919412A (en) * | 2021-09-02 | 2022-01-11 | 中国电子科技集团公司第二十九研究所 | Data distribution method, equipment and storage medium |
CN113919412B (en) * | 2021-09-02 | 2023-07-25 | 中国电子科技集团公司第二十九研究所 | Data distribution method, device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102843420A (en) | Fuzzy division based social network data distribution system | |
CN101588468B (en) | Medium playing method, medium playing device and medium playing system based on P2P | |
Liu et al. | Selective data replication for online social networks with distributed datacenters | |
CN103875200B (en) | For delivering, to receiver device power-efficient, system and the device that social networks updates in radio network | |
Xu et al. | Performance-aware mobile community-based VoD streaming over vehicular ad hoc networks | |
CN104133882A (en) | HDFS (Hadoop Distributed File System)-based old file processing method | |
CN101355468B (en) | Method for publishing P2P stream medium information | |
CN102571839A (en) | P2P content delivery method based on social attribute of users and system adopting same | |
CN103200273B (en) | The copy of content consistency maintaining method of physically based deformation position | |
CN100384134C (en) | Client-end resource search under broadcast-storage network environment and automatic downloading method | |
CN102326161A (en) | The buffer memory cooperation that topology is responsive | |
CN106919654A (en) | A kind of implementation method of the High Availabitity MySQL database based on Nginx | |
CN103260050A (en) | Video-on-demand system based on Google App Engine Cloud platform | |
CN101072160B (en) | Distributed virtual environment management method, system and node | |
CN108124168A (en) | A kind of video sharing method perceived under mobile radio network based on user interest | |
CN103095727A (en) | Location method for peer-to-peer (P2P) resource | |
CN102420864B (en) | Massive data-oriented data exchange method | |
CN103096177A (en) | Video on demand (VOD) method, system, agent node and media server | |
Wang et al. | Social-aware video delivery: Challenges, approaches, and directions | |
CN103401951A (en) | Peer-to-peer architecture based elastic cloud distribution method | |
CN103825922B (en) | A kind of data-updating method and web server | |
CN102546230A (en) | Overlay-network topological optimization method in P2P (Peer-To-Peer) streaming media system | |
CN101442466B (en) | Superpose network and implementing method | |
Carlini et al. | Integrating centralized and peer‐to‐peer architectures to support interest management in massively multiplayer on‐line games | |
CN107832459B (en) | System and method for learning content sharing in knowledge base based on distributed network environment |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20121226 |