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| 1 | Big-Data Analytics:Challenges,Key Technologies and Prospects显示文摘With the rapid development of the internet,internet of things,mobile internet,and cloud computing,the amount of data in circulation has grown rapidly.More social information has contributed to the growth of big data,and data has become a core asset.Big data is challenging in terms of effective storage,efficient computation and analysis,and deep data mining.In this paper,we discuss the significance of big data and discuss key technologies and problems in big-data analytics.We also discuss the future prospects of big-data analytics. | Shengmei Luo Zhikun Wang Zhiping Wang | 2013 | ZTE Communications2013，11，2： | 19 |
| 2 | An On-Demand Security Mechanism for Cloud-Based Telecommunications Services显示文摘As cloud computing gains in popularity, data migrated off premises is exposed to more threats than ever before. This is because data is out of control of the owner while floating in the cloud. Traditional device-centric security systems are not efficient enough and need to be evolved to data-centric protection systems. Cloud telecommunications services require security measures in three domains: data storage, processing, and transmission. Data stored in the cloud requires a mechanism to protect it; data in transit needs to be protected either at the service or transmission level; and data being processed needs to be protected during the processing stage. In this paper, we propose a security model based on a new method of security domain division to provide on-demand, dynamic, and differentiated protection for cloud-based telecommunications services. | Zhaoji Lin Ping Lu Shengmei Luo Feng Gao Jianyong Chen | 2011 | ZTE Communications2011，9，1： | 3 |
| 3 | The construction principles and applications of rapidly reconfigurable manufacturing system显示文摘 | SHENG Bohao LUO Zhenbi YU Shengmei | 2000 | IndustrialEngineering and Management2000，，1： | 1 |
| 4 | Parallel Web Mining System Based on Cloud Platform显示文摘Traditional machine-learning algorithms are struggling to handle the exceedingly large amount of data being generated by the internet. In real-world applications, there is an urgent need for machine-learning algorithms to be able to handle large-scale, high-dimensional text data. Cloud computing involves the delivery of computing and storage as a service to a heterogeneous community of recipients. Recently, it has aroused much interest in industry and academia. Most previous works on cloud platforms only focus on the parallel algorithms for structured data. In this paper, we focus on the parallel implementation of web-mining algorithms and develop a parallel web-mining system that includes parallel web crawler; parallel text extract, transform and load (ETL) and modeling; and parallel text mining and application subsystems. The complete system enables variable real-world web-mining applications for mass data. | Shengmei Luo Qing He Lixia Liu Xiang Ao Ning Li Fuzhen Zhuang | 2012 | ZTE Communications2012，10，4： | 1 |
| 5 | Big -Data Analytics: Challenges, Key Technologies and Prospects 显示文摘 | Shengmei Luo Zhikun Wang Zhiping Wang | 2013 | Cloud Computing and IT Institute of ZTE Corporation2013，，： | 1 |
| 6 | A Parallel Platform for Web Text Mining显示文摘With user-generated content, anyone can be a content creator.This phenomenon has infinitely increased the amount of information circulated online, and it is becoming harder to efficient y obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts of data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this information using natural language processing and data-mining techniques. | Ping Lu Zhenjiang Dong Shengmei Luo Lixia Liu Shanshan Guan Shengyu Liu Qingcai Chen | 2013 | ZTE Communications2013，11，3： | 0 |
| 7 | An Improved Wireless Sensor Network Routing Algorithm显示文摘High performance with low power consumption is an essential factor in wireless sensor networks(WSN).In order to address the issue on the lifetime and the consumption of nodes in WSNs,an improved ad hoc on-demand distance vector routing(IAODV) algorithm is proposed based on AODV and LAR protocols.This algorithm is a modified on-demand routing algorithm that limits data forwarding in the searching domain,and then chooses the route on basis of hop count and power consumption.The simulation results show that the algorithm can effectively reduce power consumption as well as prolong the network lifetime. | Shengmei Luo Xue Li Yiai Jin Zhixin Sun | 2015 | ZTE Communications2015，13，3： | 0 |
| 8 | Random Forest Based Very Fast Decision Tree Algorithm for Data Stream显示文摘The Very Fast Decision Tree(VFDT)algorithm is a classification algorithm for data streams.When processing large amounts of data,VFDT requires less time than traditional decision tree algorithms.However,when training samples become fewer,the label values of VFDT leaf nodes will have more errors,and the classification ability of single VFDT decision tree is limited.The Random Forest algorithm is a combinational classifier with high prediction accuracy and noise-tol-erant ability.It is constituted by multiple decision trees and can make up for the shortage of single decision tree.In this paper,in order to improve the classification accuracy on data streams,the Random Forest algorithm is integrated into the process of tree building of the VFDT algorithm,and a new Random Forest Based Very Fast Decision Tree algorithm named RFVFDT is designed.The RFVFDT algorithm adopts the decision tree building criterion of a Random Forest classifier,and improves Random Forest algorithm with sliding window to meet the unboundedness of data streams and avoid process delay and data loss.Experimental results of the classification of KDD CUP data sets show that the classification accuracy of RFVFDT algorithm is higher than that of VFDT.The less the samples are,the more obvious the advantage is.RFVFDT is fast when running in the multithread mode. | DONG Zhenjiang LUO Shengmei WEN Tao ZHANG Fayang LI Lingjuan | 2017 | ZTE Communications2017，15，B12： | 0 |
| 9 | A Case for Cloud-Based Mobile Search显示文摘Mobile search is beset with problems because of mobile terminal constraints and also because its characteristics are different from the traditional Internet search model. This paper analyzes cloud computing technologies-especially mass data storage, parallel computing, and virtualization-in an attempt to solve technical problems in mobile search. The broad prospects of cloud computing are also discussed. | Yan Gao Li Fu Zhenwei Zhang Shengmei Luo Ping Lu | 2011 | ZTE Communications2011，9，1： | 0 |
| 10 | A New Virtual Disk Mapping Method for the Cloud Desktop Storage Client显示文摘Integration of the cloud desktop and cloud storage platform is urgent for enterprises. However, current proposals for cloud disk arenot satisfactory in terms of the decoupling of virtual computing and business data storage in the cloud desktop environment. Inthis paper, we present a new virtual disk mapping method for cloud desktop storage. In Windows, compared with virtual hard diskmethod of popular cloud disks, the proposed implementation of client based on the virtual disk driver and the file system filterdriver is available for widespread desktop environments, especially for the cloud desktop with limited storage resources. Further-more, our method supports customizable local cache storage, resulting in user-friendly experience for thin-clients of the clouddesktop. The evaluation results show that our virtual disk mapping method performs well in the read-write throughput of differentscale files. | Hancong Duan Xiaoqin Wang Ping Lu Shengmei Luo Zhiyong Wang | 2014 | ZTE Communications2014，12，4： | 0 |
| 11 | HMIBase: An Hierarchical Indexing System for Storing and Querying Big Data显示文摘Relational database management systems are usually deployed on single-node machines and have strict limitations in terms of da-ta structure. This means they do not work well with big data, and No SQL has been proposed as a solution. To make data queryingmore efficient, indexes and memory cache techniques are used in No SQL databases. In this paper, we propose a hierarchical in-dexing mechanism and a prototype distributed data-storage system, called HMIBase, which has hierarchical indexes for non-prima-ry keys in tables and makes data querying more efficient. HMIBase uses HBase as the lower data storage and creates a memorycache for more efficient data transmission. HMIBase supports coprocessor-to-process update requests. It also provides a client withquery and update APIs and a server to support RPCs from the client and finish jobs. To improve the cache hit ratio, we propose amemory cache replacement strategy, called Hot Score algorithm, in HMIBase. The experimental results show that Hot Score algo-rithm is better than other cache-replacement strategies. | Shengmei Luo Di Zhao Wei Ge Rong Gu Chunfeng Yuan Yihua Huang | 2014 | ZTE Communications2014，12，4： | 0 |
| 12 | A User-Recommendation Method Based on Social Media显示文摘User-analysis techniques are mainly used to recommend friendsand information. This paper discusses the data characteristicsof microblog users and describes a multidimensional user rec-ommendation algorithm that takes into account microbloglength, relativity between microblog and users, and familiaritybetween users. The experimental results show that this multidi-mensional algorithm is more accurate than a traditional recom-mendation algorithm. | Hong Chen Shengmei Luo Lei Hu Xiuwen Wang | 2014 | ZTE Communications2014，12，1： | 0 |
| 13 | Persistent Data Layout in File Systems显示文摘Data layout in a file system is the organization of data stored in external storages. The data layout has a huge impact on performance of storage systems. We survey three main kinds of data layout in traditional file systems: in-place update file system, log-structured file system, and copy-on-write file system. Each file system has its own strengths and weaknesses under different circumstances. We also include a recent usage of persistent layout in a file system that combines both flash memory and byte-addressable non-volatile memory.With this survey, we conclude that persistent data layout in file systems may evolve dramatically in the era of emerging non-volatile memory. | LUO Shengmei LU Youyou YANG Hongzhang SHU Jiwu ZHANG Jiacheng | 2018 | ZTE Communications2018，16，3： | 0 |
| 14 | Cloud Computing Technology and Its Applications显示文摘Virtualization and distributed parallel architecture are typical cloud computing technologies. In the area of virtualization technology, this article discusses physical resource pooling, resource pool management and use, cluster fault location and maintenance, resource pool grouping, and construction and application of heterogeneous virtualization platforms. In the area of distributed technology, distributed file system and Key/Value storage engine are discussed. A solution is proposed for the host bottleneck problem, and a standard storage interface is proposed for the distributed file system. A directory-based storage scheme for Key/Value storage engine is also proposed. | Zhao Pei, Lu Ping, Luo Shengmei (ZTE Corporation, Nanjing 210012, P. R. China) | 2010 | ZTE Communications2010，8，4： | 0 |
| 15 | A Distributed In-Memory Database Solution for Mass Data Applications显示文摘In this paper, a Distributed In-Memory Database (DIMDB) system is proposed to improve processing efficiency in mass data applications. The system uses an enhanced language similar to Structured Query Language (SQL) with a key-value storage schema. The design goals of the DIMDB system is described and its system architecture is discussed. Operation flow and the enhanced SQL-like language are also discussed, and experimental results are used to test the validity of the system. | Dong Hao Luo Shengmei Zhang Hengsheng | 2010 | ZTE Communications2010，8，4： | 0 |
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