最新刊期

    卷 2 , 期 4 , 2016

      STUDY

    • On the measurements of algorithms in big data era

      Jialin ZHANG, Xiaoming SUN
      Vol. 2, Issue 4, Pages: 2016037(2016) DOI: 10.11959/j.issn.2096-0271.2016037
      摘要:The ability to store and analyze big data is a crucial capability of a powerful country in the new century.The current research of big data contains weakness on common scientific questions,general methodology,and theoretical analysis of real-time algorithm.It started from three key features about big data:volume,variety,and velocity,and the measurement and simplification of time complexity,space complexity,and relationship complexity for big data were focused.  
      关键词:time complexity;space complexity;relationship complexity;data complexity   
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    • Research development on granular computing theory and method for big data

      Jiye LIANG, Yuhua QIAN, Deyu Li, Qinghua HU
      Vol. 2, Issue 4, Pages: 2016038(2016) DOI: 10.11959/j.issn.2096-0271.2016038
      摘要:Aiming at several data mining tasks,research developments on data granulation,multi-granularity pattern discovery and fusion,multi-granularity reasoning were carded and analyzed,and the preliminary study on two typical applications astronomical data mining and microblog data mining was summarized,which would be helpful for making a beneficial exploration in big data mining area.  
      关键词:big data;granular computing;data mining;information granulation;multi-granularity   
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    • Kang CHEN, Jian HUANG, Jiannan LIU
      Vol. 2, Issue 4, Pages: 2016039(2016) DOI: 10.11959/j.issn.2096-0271.2016039
      摘要:The goal of distributed consensus is quite simple i.e.how to decide a value among a group of coordinated processes in the distributed environment.However,the problem is turned out to be very difficult while facing the different distributed environment.The even harder problem is that some consensus protocols are hard to be implemented in practical systems.Some results of distributed consensus algorithms under different distributed environment assumptions were reviewed.In addition,some practical systems based on consensus for achieving high reliability were discussed.  
      关键词:distributed consensus;replicated state machine;network error;safety;liveness   
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    • A message driven framework for big data application system

      Fang GUI, Lian LI, Jing YANG, Yongwei WU
      Vol. 2, Issue 4, Pages: 2016040(2016) DOI: 10.11959/j.issn.2096-0271.2016040
      摘要:Software development based on message driven framework has become an important pattern for big data application system.The message management module which is an important part of whole framework was designed and implemented.The basic format of message and the standard of message management was defined,its function was realized,and the advantages through a case were shown.  
      关键词:big data application system;message driven framework;module of message management;dynamic and self developing programming   
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    • Chao LI, Xiao LIN, Weiqiang SUN, Weisheng HU
      Vol. 2, Issue 4, Pages: 2016041(2016) DOI: 10.11959/j.issn.2096-0271.2016041
      摘要:With coarse switching granularity,circuit switching suffers from high blocking probability,especially when the traffic is bursty.How massive intermediate storage may alleviate traffic blocking in OCS(coptical circuit switching)networks was studied.The relationship between the storage capacity and the traffic burst was introduced,and the improvement of the network performance was verified by the simulation results.The results suggest that burstiness in traffic is indeed harmful to the OCS blocking performance,and can be effectively handled with massive intermediate storage.It also indicates that with different levels of storage support,the network may exhibit different levels of burst smoothing functions and achieve different blocking performance.  
      关键词:big data transmission;assistive storage;burst traffic;optical circuit switching   
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    • Guangya SI, Xiang GAO, Yang LIU, Lin WU
      Vol. 2, Issue 4, Pages: 2016042(2016) DOI: 10.11959/j.issn.2096-0271.2016042
      摘要:In order to cope with the interdependence and interrelationship between evaluation criteria in effectiveness evaluation index system,and to eliminate the subjectivity of expert’s preference in the evaluation process,making use of big simulation data,a method of building index system based on big simulation data of supernetting characteristic parameter and ANP was proposed.Then,by taking a weapon SoS simulation scenario as example,a process of building networked evaluation index system was proposed and the corresponding networked index system was built.Simultaneously,the correlation between criteria was deeply mined.The example analysis verifies the reasonability and effectiveness of proposed method for building evaluation index system.It provides reliable theoretical basis for weapon SoS effectiveness evaluation.  
      关键词:big simulation data;effectiveness evaluation;analytic network process;correlation analysis;networked index system   
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      APPLICATION

    • Big data open platform and industrial ecology construction for smart city

      Aobing SUN, Tongkai JI
      Vol. 2, Issue 4, Pages: 2016043(2016) DOI: 10.11959/j.issn.2096-0271.2016043
      摘要:According to the framework of “one cloud,one engine,four theme library,one portal,three typical applications” from the point of data asset,one big data open sharing platform based the cloud infrastructure was built,and one unified management engine of big data was realized.Four big data theme libraries as government information,public information and etc were created.The big data security access control model was also described.Through the unified cross-language platform interface,the big data could be accessed by the third party application developers.One portal for smart city for data or applications customization and evaluation for data providers,application developers and users was created,and one industrial ecology of big data demand,application development and capital providing was aimed to create.  
      关键词:big data;smart city;data asset;open platform;industrial ecology   
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    • Qian YAO, Huamei XIE, Zhigang JING, Qingqing HU, Enzhe SI
      Vol. 2, Issue 4, Pages: 2016044(2016) DOI: 10.11959/j.issn.2096-0271.2016044
      摘要:The data selected contained 900 million query records in the latest 36 months from the personal credit reference system database.The model was subdivided according to different volatility characteristics of each user’s query behavior,and four types of real-time anomaly inquiry monitoring models were discussed and developed.Results indicate that the anomaly inquiry monitoring model is feasible to apply on predicting anomaly query behaviors and showed positive effects.The successful application and constant perfection of the model would definitely exert deterrent effect on illegal query behaviors,force commercial banks to strengthen internal management,protect individual’s private information and right,and promote the healthy development of the credit reference market.  
      关键词:data mining;personal credit reference system;anomaly inquiry;illegal inquiry;real-time monitoring   
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      FORUM

    • Deconstructing the EU General Data Protection Regulation

      Rong WANG
      Vol. 2, Issue 4, Pages: 2016045(2016) DOI: 10.11959/j.issn.2096-0271.2016045
      摘要:The EU General Data Protection Regulation (GDPR) has taken effect on May 25,2018.In order to catch up with the new trend of digital era,companies from all over the world are actively preparing for the related compliance work.The major changes of this new regulation were demonstrated comprehensively.It will provide a reference for companies and new prospective for China’s data protection policy making in big data era.  
      关键词:General Data Protection Regulation (GDPR);change;compliance   
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    • Study on right to data portability of European Union

      Fuping GAO, Chao YU
      Vol. 2, Issue 4, Pages: 2016046(2016) DOI: 10.11959/j.issn.2096-0271.2016046
      摘要:Right to data portability means data subject has the right to receive the personal data concerning him or her,which he or she has provided to a controller.And he or she also has the right to have the personal data transmitted directly from one controller to another when it’s technically feasible.This right can bring a huge impact on using of big data,privacy and business competition.When it comes to data protection legislation in our country,it also has a lot of reference value.  
      关键词:big data;right to data portability;advantage and disadvantage   
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