Chapter 4 - DSpace at Waseda University

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Bibliography [38] Magdalena Balazinska, E. Merlo, M. R. Dagenais, B. Laguë, and K. Kontogiannis, “Advanced clone analysis to support object-oriented system refactoring”, in Proceedings of the 7th Working Conference on Reverse Engineering, (Brisbane, Australia), November 2000. [39] Karim Yaghmour and M. R. Dagenais, “The Linux Trace Toolkit”, in Actes de la conférence Linux Expo, (Montreal, Quebec, Canada), April 2000. [40] Y. Blaquière, M. Dagenais, and Y. Savaria, “A new accurate and hierarchical timing analysis approach”, in Proceedings of the IEEE European Design Automation Conference, February 1993. [41] Kwon Ki Duk, Sugaya Midori, Ohno Yuuki and Nakajima Tatsuo. “Performance analysis of information explosion by using LTTng”, Information Processing Society of Japan (IPSJ), 5-299, March 2008. [42] Ohno Yuuki, Sugaya Midori and Kwon Ki-Duk. “Performance analysis of distributed applications in the information explosion era”, Information Processing Society of Japan (IPSJ), 5-147, March 2008. [43] Kiduk Kwon, Midori Sugaya, Tatsuo Nakajima. "Analysis of High Resolution Timer Latency Using Kernel Analysis System in Embedded System”, 12th IEEE Symposium on Object/component/service-oriented Real-time distributed Computing Co-located with First International Workshop on Software Technologies for Future Dependable Distributed Systems(STFSSD 2009), pp.122-126, March 2009. [44] Martin Schulz, Brian S. White, Sally A. McKee, Hsien-Hsin Lee, and Jürgen Jeitner, “Owl: Next Generation System Monitoring”, In Proceedings of Computing Frontiers (CF'05) , Ischia, IT, May 2005. 94
95 Bibliography [45] R. Vaarandi, “Tools and Techniques for Event Log Analysis”, PhD Thesis, Tallinn University of Technology, 2005. [46] J. E. Prewett. “Analyzing cluster log files using logsurfer”, In Proc. Annual Conf. on Linux Clusters,2003. [47] Swatch, http://sial.org/howto/logging/swatch. [48] Syslog, http://www.loganalysis.org. [49] Nicholas Mc Guire, “Kernel Function Instrumentation – KFT”, Distributed & Embedded System Lab, Lanzhou University, December 31, 2006. [50] Midori Sugaya, Shuichi Oikawa, Tatsuo Nakajima, “Accounting System: A fine-grained CPU resource protection mechanism for Embedded System”, IEEE International Symposium on Object-oriented Real-time distributed Computing (ISORC) 2006: 72-84. [51] CABI, http://osrg.dcl.info.waseda.ac.jp/~doly/cabi/. [52] Midori sugaya, Yuki Ohno, Andrej van der zee, Tatsuo Nakajim, “A Lightweight Anomaly Detection System for Information Appliances”, IEEE International Symposium on Object-oriented Real-time distributed Computing (ISORC) 2009 [53] Android, http://developer.android.com/sdk/index.html. [54] iOS4, http://developer.apple.com/technologies/iphone/whats-new.html [55] Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg, Gabriel Aul, Vince Orgovan, Greg Nichols, David Grant, Gretchen Loihle, and Galen Hunt, “Debugging in the (Very) Large: Ten Years of Implementation and Experience”, Proceedings of the 22nd ACM Symposium on Operating Systems Principles (SOSP '09).
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Analyzing Real-Time Performance Pro
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to propose a solution for the probl
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2.5 Event Log …………………
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6. Conclusions and Future Work 6.1
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List of Figures 2.1 User-space vs.
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5.12: One of the reasons of HRTimer
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Chapter 1 functions or equipped wit
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Chapter 1 huge losses in cost. For
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Chapter 1 1.3 Contribution When dev
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Chapter 2 Background 2.1 Embedded S
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Chapter 2 memory and to manage syst
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Chapter 2 2.3 Embedded Linux An emb
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Chapter 2 � How often CPU accesse
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Chapter 2 2.6 Problem Analysis Figu
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Chapter 2 � To count time accurat
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Chapter 2 board. Its clock signal i
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Chapter 3 hardware such as SoC (Sys
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Chapter 3 shows how useful the logg
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Chapter 3 free to check memory. How
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Chapter 3 Figure 3.3: Process viewe
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Chapter 3 In Figure 3.4, through Me
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Chapter 3 Figure 3.6: Event logging
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Chapter 4 execution times, and whol
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Chapter 4 due to its large amount.
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Chapter 4 Advantage of analysis by
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Chapter 4 ways of debugging accordi
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Chapter 4 problem has occurred it f
Page 56 and 57: Chapter 4 4.2.2 Separation Layer Fi
Page 58 and 59: Chapter 4 4.2.3 Analysis Layer Figu
Page 60 and 61: Chapter 4 and a developer analyzes
Page 62 and 63: Chapter 4 Table 4.1: Important para
Page 64 and 65: Chapter 4 possible to event logging
Page 66 and 67: Chapter 4 KAS’s dependency with L
Page 68 and 69: Chapter 5 5.1 Timer Latency When a
Page 70 and 71: Chapter 5 mode [31]. In opposite, p
Page 72 and 73: Chapter 5 Figure 5.4 shows the inte
Page 74 and 75: Chapter 5 latency. Figure 5.5 shows
Page 76 and 77: Chapter 5 Figure 5.6 Interface of s
Page 78 and 79: Chapter 5 Table 5.1: Result of Dete
Page 80 and 81: Chapter 5 Table 5.2: Result of Anal
Page 82 and 83: Chapter 5 most of time. Especially,
Page 84 and 85: Chapter 5 Figure 5.13: Result of an
Page 86 and 87: Chapter 5 Figure 5.16: Result of ex
Page 88 and 89: Chapter 5 5.6 Summary We analyzed l
Page 90 and 91: Chapter 6 In embedded systems, ther
Page 92 and 93: Chapter 6 Figure 6.1: Real-Time Arc
Page 94 and 95: Appendix A.1 RTOS Commonly, a goal
Page 96 and 97: Appendix software, real-time OS mus
Page 98 and 99: Appendix critical task and non-crit
Page 100 and 101: Appendix � Portability CABI shoul
Page 102 and 103: Bibliography [1] L. Abeni, A. Goel,
Page 104 and 105: Bibliography [21] C. Yuan, N. Lao,
Page 108 and 109: Bibliography [56] Balakrishnan, S.;
Page 110 and 111: Acknowledgements I would firstly li
Page 112 and 113: Publication List 種類別題名
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