不同Android操作系统老化现象分析及建模研究任务书

 2021-08-23 08:08

1. 毕业设计(论文)主要内容:

1、研究清楚Android内部内存回收机制如何运作,查阅相关资料。

2、定义监控策略(可选取Android系统资源消耗值(如内存,交换空间,线程使用信息,存储空间碎片等)作为操作系统老化的评估指标),并设计负荷生成器对系统进行压力测试,采集相关系统资源性能消耗数据进行统计并建立数据库。

3、制定一套可以对进行不同手机进行老化现象对比的压力模型。

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2. 毕业设计(论文)主要任务及要求

1、查阅15篇相关文献(含近五年外文3篇),并每篇书写200—300字文献摘要(装订成册,带封面);2、认真填写周记,完成800字开题报告;3、完成5000中文字以上的相关英文专业文献翻译,并装订成册(中英文一起,带封面);4、完成系统的编码与调试;5、完成10000字以上的毕业论文;6、在毕业论文的基础上争取形成一篇英文会议论文并投稿;7、进行论文答辩。

3. 毕业设计(论文)完成任务的计划与安排

1、2017/1/11—2017/1/22:查阅参考文献,明确选题;2、2017/1/23—2017/2/22:进一步阅读文献,并分析和总结;确定技术路线,完成并提交开题报告;3、2017/2/23—2017/4/30:需求分析,算法或系统设计,分析、比较或实现等;4、2017/5/1—2017/5/25:撰写论文初稿;修改论文,定稿并提交论文评审;5、2017/5/26—2017/6/6:准备论文答辩。

4. 主要参考文献

[1]M.Grottke, R.Matias,and K.S.Trivedi, "The fundamentals of software aging" in Software Reliability Engineering Workshops, 2008. ISSRE Wksp 2008. IEEE International Conference on. IEEE, 2008, pp. 1–6.[2]Cotroneo, D., Natella, R., Pietrantuono, R., and Russo, S. "A Survey of Software Aging and Rejuvenation Studies." ACM Journal on Emerging Technologies in Computing Systems (JETC), 10.1, article no.8, Jan 2014.[3]Huang, Y., Kintala, C., Kolettis, N., and Fulton, N. 1995. "Software rejuvenation: analysis, module and applications. In Fault-Tolerant Computing", 1995. FTCS-25. Digest of Papers, Twenty-Fifth Int’l.Symp.[4]S. Garg, A. V. Moorsel, K. Vaidyanathan, and K. S. Trivedi, “A Methodology for Detection and Estimation of Software Aging,” in Proc. of the 9th Intl. Symp. on Software Reliability Engineering (ISSRE), 1998.[5]Cotroneo, D., Natella, R., Pietrantuono, R., and Russo, S. "Software Aging Analysis of the Linux Operating System." 2010 IEEE 21st International Symposium on Software Reliability Engineering, 2010, pp. 71-80[6]Araujo, J., Matos, R., Maciel, P., and Matias, R. "Software Aging Issues on The Eucalyptus Cloud Computing Infrastructure." Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference,2011, pp. 1411-1416.[7]Guo, C., Wu, H., Hua, X., Lautner, D., and Ren, S. "Use Two-Level Rejuvenation to Combat Software Aging and Maximize Average Resource Performance." IEEE 12th International ConferenceEmbedded Software and Systems (ICESS). 2015. pp. 1160-1165.[8]Rivalino Matias, Artur Andrzejak, Fumio Machida, Diego Elias Costa, and Kishor Trivedi. "A Systematic Approach for Low-Latency and Robust Detection of Software Aging" 3rd IEEE Symposium on Reliable Distributed Systems (SRDS 2014) [9]Yu Qiao, Zheng Zheng, FangYun Qin. "An empirical study of software aging manifestations in Android" 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops.[10]Domenico Cotroneo, Francesco Fucci, Antonio Ken Iannillo, Roberto Natella, Roberto Pietrantuono "Software Aging Analysis of the Android Mobile OS" 2016 IEEE 27th International Symposium on Software Reliability Engineering[11]Caisheng Weng, Jianwen Xiang, Shengwu Xiong, Dongdong Zhao, Chunhui Yang "Analysis of Software Aging in Android" 2016 IEEE 27th International Symposium on Software Reliability Engineering Workshops.[12]Bovenzi, A., Cotroneo, D., Pietrantuono, R., and Russo, S. "Workload Characterization for Software Aging Analysis." 2011 IEEE 22nd International Symposium on Software Reliability Engineering, 2011, pp. 240-249.[13]Alonso, J., Belanche, L., and Avresky, D. 2011a. Predicting software anomalies using machine learn-ing techniques. Proceedings - 2011 IEEE International Symposium on Network Computing and Applications, NCA 2011, 163–170.[14]Cassidy, K., Gross, K., and Malekpour, A. 2002. Advanced pattern recognition for detection of complex software aging phenomena in online transaction processing servers. In Dependable Systems and Networks, 2002. Proc. Int’l. Conf.[15]Bobbio, A., Sereno, M., and Anglano, C. 2001. Fine grained software degradation models for optimal rejuvenation policies. Performance Evaluation 46, 1, 45–62.[16]Eto, H., Dohi, T., and Ma, J. 2008. Simulation-based optimization approach for software cost model with rejuvenation. Lecture Notes in Computer Science 5060 LNCS, 206–218.[17]杜小智,齐勇.视频点播系统的软件老化估计和预测.计算机研究与发展, 2011, 48(11): 2139-2146[18]范新媛,施侃,徐国治.网络服务器软件老化现象的测试与分析.数据采集与处理, 2004, 19(2):231-234

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