Chapter 4 - DSpace at Waseda University

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Bibliography [1] L. Abeni, A. Goel, C. Krasic, J. Snow, and J. Walpole, “A measurement- based analysis of the real-time performance of the Linux kernel”, In Real- Time Technology and Applications Symposium (RTAS 2002), Sept. 2002. [2] Tim Bird, “Learning the kernel and finding performance problems with KFI”, In CELF International Technical Conference, 2005. [3] Mathieu Desnoyers and Michel R. Dagenais, “The lttng tracer: A low impact performance and behavior monitor for gnu/Linux”, In OLS (Ottawa Linux Symposium) 2006, July. [4] Robert W. Wisniewski, Reza Azimi, Mathieu Desnoyers, Maged M, Michael, Jose Moreira, Doron Shiloach, and Livio Soares, “Experiences Understanding Performance in a Commercial Scale-Out Environment”, 13th International Euro-Par Conference, 2007. [5] LTTng project, http://ltt.polymtl.ca/. [6] G.Anzinger,. http://high-res-timers.sourceforge.net/, High resolution timers project. [7] Yaghmour K. and Dagenais M. R., “Measuring and characterizing system behavior using kernel-level event logging”, In Proceedings of the Annual Technical Conference on USENIX Annual Technical Conference, 13_26, 2000. [8] System Director Mevalet, http://www.nec.co.jp/cced/mevalet. [9] Mathieu Desnoyers and Michel Dagenais, “Low disturbance embedded system tracing with Linux Trace Toolkit Next Generation”, In ELC (Embedded Linux Conference) 2006. [10] Martin Bligh, Mathieu Desnoyers and Rebecca Schultz, “Linux Kernel Debugging on Google-sized clusters”, Proceedings of the Linux Symposium June, 2007, Ottawa, Ontario in Canada. 90
[11] Linux Kernel State Tracer, http://lkst.sourceforge.net . 91 Bibliography [12] Debugging with Data Display Debugger, User Guide and Reference Manual First Edition, for DDD Version 3.3.9. 15 January, 2004.An Introduction to the Real-time OS \& Nucleus PLUS Training Guide. Accelerated Technology Inc. [13] Kernel Function Trace, http://eLinux.org/Kernel\Function \Trace. [14] Nucleus, “An Introduction to the Real-time OS & Nucleus PLUS Training Guide”, Accelerated Technology. [15] Yu-Chung and K.-J Lin, “Enhancing the Real-Time Capability of the Linux Kernel”, In Proceedings of the IEEE Real Time Computing Systems and Applications, Hiroshima, Japan, October 1998. [16] Mark Wilding and Dan Behman, “Self-Linux Mastering -The Art of Problem Determination”. [17] Ki Duk Kwon, Joon Mo Jung and Sang Hong Kwon. “A Dynamic Voltage Scaling Algorithm for Aperiodic Tasks”, The Korea Academia- Industrial cooperation Society (KAIS), vol.7 no.5 P.866-874, October 2006. [18] Bryan M. Cantrill, Michael W.Shapiro, and Adam H.Leventhal. “Dtrace: Dynamic instrumentation of production system”, In USENIX04, 2004. [19] SystemTAP: Vara Prasad, William Cohen, Frank Ch. Eigler, Martin Hunt, Jim Keniston, and Brad Chen. “Locating system problems using dynamic instrumentation”, In OLS05 (Ottawa Linux Symposium) , 2005. [20] Mathieu Desnoyers and Michel R. Dagenais, “Deploying LTTng on Exotic Embedded Architectures”, Embedded Linux Conference 2009.
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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
Page 52 and 53: Chapter 4 ways of debugging accordi
Page 54 and 55: 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 104 and 105: Bibliography [21] C. Yuan, N. Lao,
Page 106 and 107: Bibliography [38] Magdalena Balazin
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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