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《中国计算机学会通讯》2012年第6期出版

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2012-06-20

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“大数据”是当前的热点，引起了工业界和学术界的广泛关注。本期专题聚焦的是‘大数据’在工业界，特别邀请了工业界人士写了6篇“数据密集业务的挑战和机遇”方面的文章。作者来自中兴通讯、淘宝、百分点公司、华大基因、SAP、盛大在线等。由来自企业的科研人员为本刊专题撰文，分享来自业务第一线的经验，是一次有意义的尝试。

本期专栏刊登了7篇文章，内容十分丰富，有本刊专栏作家包云岗研究员撰写的对普林斯顿大学招聘助教人员的介绍，相信对大学老师和博士生都会有启发；也有CCF青年科学家奖获得者徐恪教授写的“我是一个普通清华人”。这一期专栏还破例刊登了一篇北大历史系本科生的文章。接受社会科学学者的文章，也是一次创新。

动态栏目继续发表了采访图灵奖得主的文章，这一期采访的是查尔斯·泰克，这位来自微软研究院的大师提出：要研究自己由衷感兴趣并希望解决的问题。

译文来自communications of the acm。内容是“跨跃软件教育鸿沟”，讲述了一种利用云计算的敏捷方式。

特别报道来自CCF青年精英大会。5月中旬在成都召开的CCF青年精英大会，其主旨是：我在哪里？我应该到哪里去？什么是我的价值追求？我需要什么样的成功？把心扉打开，相互分享、探讨和激励。大会特邀报告人，美国俄亥俄洲立大学教授张晓东撰写的文章“对社会和他人的贡献是检验成功的重要标准”，非常值得一读。

专题

数据密集业务的挑战和机遇——“大数据”在工业界
　　特邀编辑：袁晓如　阳振坤

海量数据技术在电信业务内应用
　　钱煜明　丁　岩冯　军

大数据的魔力
　　阳振坤　张　清　王　勇　贾　超

推荐引擎：信息暗海的领航员
　　Terry Lau　张韶峰　周　涛

有容乃大——大规模数据云端存储
　　吴　锐

应对生命科学的大数据挑战
　　王丙强　邱　爽　郭贵鑫　叶志强等

基于云计算的数据密集业务应用
　　张国锋　米　凯

专栏

普林斯顿大学招聘之学术报告系列
　　特邀专栏作家：包云岗

聪明的傻瓜系列
　　特邀专栏作家：杨义先

计算机改变了学习和记忆方式
　　唐常杰

我是一个普通清华人
　　徐　恪

国际互联网治理热点问题综述
　　李　欣　袁春阳　杜跃进

社会学中的社会网络
　　张　涵

从日志数据中挖掘过程知识
　　王建民　闻立杰

动态

研究自己感兴趣并希望解决的问题
　　——访图灵奖获得者查尔斯·泰克

国际数据工程会议
　　肖仰华

译文

跨越软件教育鸿沟
　　作者：阿曼多·福克斯（Armando Fox）
　　　　　戴维·帕特森（David Patterson）
　　译者：韩伟力　译校：陈文光

特别报道　

青年科技工作者的价值与成功
　　——2012 CCF青年精英大会侧记
　　陈宝权

对社会和他人的贡献是检验成功的重要标准
　　张晓东

Features
Data-Intensive Business
Guest Editors: Yuan Xiaoru and Yang Zhenkun
Applications of Massive Data Technologies in Telecommunication Services
Qian Yuming, Ding Yan and Feng Jun
Dr. Qian et al. from ZTE Corporation describe the key issues for massive data processing in several cri-tical scenarios in the telecommunication systems such as massive data storage, data marketing and business intelligence, user portrait and user recommendation, and SNS relationship-based spam messages identification. From these cases they conclude that the massive data have become the core factor of competitiveness in the modern telecommunications industry.
The Magic of Big Data
Yang Zhenkun, Zhang Qing, Wang Yong and Jia Chao
As the total data on the globe reached the shocking quantity of 1.8ZB (1.8 trillion gigabytes) by the end of 2011 (the IDC Digital Universe study), we are being overwhelmed by various kinds of big data produced by ourselves. Extracting knowledge from these big data is a great challenge. In this article, Dr. Yang et al. from Taobao Marketplace, which is one of the biggest online shopping web site in China, list several data types, compare two kinds of data processing – offline and online, and show some amazing information mined from real trade data at Taobao.com.
Recommendation Engine: A Navigator on the Dark Ocean of Information
Terry Lau, Zhang Shaofeng and Zhou Tao
Dr. Lau et al. from Baifendian Corporation briefly introduce the development of recommender systems, including the background, motivation, methodology and significance of its development. In particular, they discuss several important to-pics such as the architecture and algorithm of the recommonder and representative business cases, in which their company provides recommendation engines for e-commerce websites.
Cloud Storage of Big Data
Wu Rui
With the development of Internet business, more and more data needs to be stored on server side. Large-scale server side data storage needs to address the following aspects: 1) reduce costs, 2) avoid data loss, 3) ensure the availability of data, and 4) avoid data leakage. Dr. Wu, the Safety Director of Shanda Interactive Entertainment Ltd. discusses the key technical solutions for these problems.
Addressing Big Data Challenge in Life Science
Wang Bingqiang, Qiu Shuang, Guo Guixin, and Ye Zhiqiang
While the development of genome sequencing technology promotes the change of life science and relevant technologies guided by data-driven bioinformatics research, the big data challenge is becoming more and more serious. Cloud computing and heterogeneous computing provide promising solution to address this challenge. Dr. Wang et al. from BGI introduce their exciting work – a cloud computing platform EasyGenomics by integrating benefits from above technologies, which provides scientists with a one-stop solution for integrated data and tools.
Data-Intensive Business Applications in SAP Business ByDesign
Zhang Guofeng and Mi Kai
Prof. Zhang from Shanghai Institute of Foreign Trade and Dr. Mi, the Product Research Director of SAP Labs China introduce the Data-Intensive business applications of SAP Business ByDesign (SAP ByD), which is a cloud computing production of SAP Corporation.

Columns
Faculty Job Talks of Computer Science Department at Princeton University, USA
Bao Yungang
As a Post-Doctoral scholar of Computer Science Department at Princeton University, USA, Dr. Bao from the Institute of Computing Technology, CAS, presents a glimpse of how top USA universities recruit faculty by introducing five impressive job talks in Princeton University this year. While doing so, he also shows us an interesting picture of the frontier research of computer science.
“Wise” Fool Series
Yang Yixian
In his first essay Ten Issues on a Few “Wise” Postgraduates, Prof. Yang from Beijing University of Posts and Telecommunications, a veteran graduate school teacher, lists ten common misleading perspectives and attitudes existing in the mind of some of postgraduates, which might cost them much in their career.
In his second essay Ten Issues on a Few Research Supervisors, Prof. Yang lists problems of some postgraduate tutors that can affect the education quality, students’ career development and teacher themselves.
Cyber Age Brings Changes in Our Ways of Learning and Memorizing
Tang Changjie
Prof. Tang from Sichuan University suggests some various ways to improve the efficiency of our learning and memorizing in cyber age.
Me, an Ordinary Person at Tsinghua University
Xu Ke
As the receipt of 2011 CCF Young Scientist Award, Prof. Xu from Tsinghua University briefly reviews his past ten more years’ academic research in computer networks.
Review on the Development of International Internet Governance
Li Xin, Yuan Chunyang and Du Yuejin
Ms. Li et al from the National Computer Network Emergency Response Technical Team/Coordination Center of China introduces the main topics of the Internet Governance Forum (IGF), which has been held each year since 2006.
Social Network Analysis in Sociology
Zhang Han
Mr. Zhang from Peking University briefly introduces the basic concepts and methodology of social network analysis (SNA) in sociology. Based on graph theory, SNA views society as a network consisting of nodes (individuals) and edges (social relationships). Zhang suggests that knowledge of SNA may inspire computer scientists in their research on social network.
Process Mining Business
Wang Jianmin and Wen Lijie
More and more people, in both industry and academia, consider process mining as one of the most important innovations in the field of business process management. Dr. Wang et al. from Tsinghua University introduce the present status of the development of process mining and the guiding principles proposed in Process Mining Manifesto that was released by IEEE Task Force on Process Mining. They further discuss the main challenges in this area.

Advances
Profiles Prof. Chuck Thacker– the Receipt of 2009 ACM Turing Award
Conferences IEEE International Conference on Data Engineering
Xiao Yangguang

Translations
Crossing the Software Education Chasm
Armando Fox and David Patterson (translated by Han Weili and Chen Wenguang)
An Agile approach that exploits cloud computing.

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