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| 1 | An Online Fault Detection Model and Strategies Based on SVM-Grid in Clouds显示文摘Online fault detection is one of the key technologies to improve the performance of cloud systems. The current data of cloud systems is to be monitored, collected and used to reflect their state. Its use can potentially help cloud managers take some timely measures before fault occurrence in clouds. Because of the complex structure and dynamic change characteristics of the clouds, existing fault detection methods suffer from the problems of low efficiency and low accuracy. In order to solve them, this work proposes an online detection model based on asystematic parameter-search method called SVM-Grid, whose construction is based on a support vector machine(SVM). SVM-Grid is used to optimize parameters in SVM. Proper attributes of a cloud system's running data are selected by using Pearson correlation and principal component analysis for the model. Strategies of predicting cloud faults and updating fault sample databases are proposed to optimize the model and improve its performance.In comparison with some representative existing methods, the proposed model can achieve more efficient and accurate fault detection for cloud systems. | PeiYun Zhang Sheng Shu MengChu Zhou | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，2： | 16 |
| 2 | 云计算中面向数据安全的身份认证策略研究显示文摘随着虚拟化技术的不断发展,云计算得到了广泛的应用,越来越多的用户喜欢将数据存储在云端,因此如何在云计算中对动态变化的数据用户进行身份认证就显得十分重要。为了解决这个问题,基于用户属性,文章提出了一种面向数据安全的身份认证策略。针对注册用户和非注册用户,分别提出了一种面向注册用户的身份认证方法和一种面向本地代理服务器的身份认证方法。构建了一种加密代理服务器并提出了一种改进的HE-RSA加密算法,构成了面向数据安全的身份认证策略。为了证明这种身份认证策略的有效性,文章对其安全性、可扩展性和效率进行了分析,结果表明在云计算中使用这种身份认证策略能够确保数据资源的安全性并具有良好的可扩展性和效率。 | 国杰彬 李运发 张大军 | 2017 | 信息网络安全2017，，3： | 7 |
| 3 | A Survey of Bitmap Index Compression Algorithms for Big Data显示文摘With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems(ITAS) for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience analysis. Among the three key technologies in ITAS, we focus on bitmap index compression algorithm and give a detailed survey in this paper. The current state-of-the-art bitmap index encoding schemes include: BBC, WAH, PLWAH, EWAH, PWAH, CONCISE, COMPAX, VLC, DF-WAH, and VAL-WAH. Based on differences in segmentation, chunking, merge compress, and Near Identical(NI) features, we provide a thorough categorization of the state-of-the-art bitmap index compression algorithms. We also propose some new bitmap index encoding algorithms, such as SECOMPAX, ICX, MASC, and PLWAH+, and present the state diagrams for their encoding algorithms. We then evaluate their CPU and GPU implementations with a real Internet trace from CAIDA. Finally, we summarize and discuss the future direction of bitmap index compression algorithms. Beyond the application in network security and network forensic, bitmap index compression with faster bitwise-logical operations and reduced search space is widely used in analysis in genome data, geographical information system, graph databases, image retrieval, Internet of things, etc. It is expected that bitmap index compression will thrive and be prosperous again in Big Data era since 1980s. | Zhen Chen Yuhao Wen Junwei Cao Wenxun Zheng Jiahui Chang Yinjun Wu Ge Ma Mourad Hakmaoui Guodong Peng | 2015 | Tsinghua Science and Technology2015，20，1： | 5 |
| 4 | 基于时间序列分析的杀手级任务在线识别方法显示文摘通过分析Google集群中任务的失效次数和失效模式,找到具有高失效频次和连续失效特征的杀手级任务。杀手级任务不仅影响云计算系统上应用运行的可靠性与可用性,而且会浪费大量资源并显著增加调度负载。在杀手级任务资源使用模式的基础上,提出一种基于时间序列的在线识别方法,以利用资源使用时间序列在失效早期准确识别出杀手级任务并通知云计算系统采取前摄性失效恢复措施,从而避免不必要的重复调度和资源浪费。实验结果表明,该方法能够以98.5%的准确率在平均3%的失效时间内识别出杀手级任务,同时节约96.75%的系统资源。 | 唐红艳 李影 贾统 袁小雍 | 2017 | 计算机科学2017，44，4： | 2 |
| 5 | Banian: A Cross-Platform Interactive Query System for Structured Big Data显示文摘The rapid growth of structured data has presented new technological challenges in the research fields of big data and relational database. In this paper, we present an efficient system for managing and analyzing PB level structured data called Banian. Banian overcomes the storage structure limitation of relational database and effectively integrates interactive query with large-scale storage management. It provides a uniform query interface for cross-platform datasets and thus shows favorable compatibility and scalability. Banian's system architecture mainly includes three layers:(1) a storage layer using HDFS for the distributed storage of massive data;(2) a scheduling and execution layer employing the splitting and scheduling technology of parallel database; and(3)an application layer providing a cross-platform query interface and supporting standard SQL. We evaluate Banian using PB level Internet data and the TPC-H benchmark. The results show that when compared with Hive, Banian improves the query performance to a maximum of 30 times and achieves better scalability and concurrency. | Tao Xu Dongsheng Wang Guodong Liu | 2015 | Tsinghua Science and Technology2015，20，1： | 2 |
| 6 | 一种云计算中Accrual失效检测器显示文摘为更好地解决云计算中网络环境的动态性对失效检测性能的影响,提出一种适用于云计算环境的双滑动窗口accrual失效检测器(Two Windows Accrual Failure Detector, 2WA-FD).首先,对不同网络环境下心跳消息到达时间间隔的概率分布进行实验分析,发现威布尔分布是一种更加合理的描述心跳消息到达时间间隔的概率分布模型,以此概率分布模型作为计算accrual失效检测器怀疑值的依据能够获得更高的精确度;其次,通过对accrual失效检测器实现架构的分析,通过采用双滑动窗口处理机制处理心跳消息能够更好地应对网络环境的突然变化;最后,通过开源实验数据以及租用云服务器搭建的实验平台比较和分析5种不同的accrual失效检测器实现的性能.实验结果表明,该失效检测器较其他同类型失效检测器在同样的检测负载情况下,能够获得更好的检测速度与检测准确性.因此,本文所提出的基于威布尔分布的双滑动窗口的accrual失效检测器2WA-FD能够准确、快速地发现云计算中的节点失效,有效地降低网络环境动态性对失效检测性能的影响. | 吴晋 刘家希 董剑 左德承 赵耀 | 2019 | 哈尔滨工业大学学报2019，51，11： | 0 |
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