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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46553完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭大維(Tei-Wei Kuo) | |
| dc.contributor.author | Chun-Yi Liu | en |
| dc.contributor.author | 劉君翊 | zh_TW |
| dc.date.accessioned | 2021-06-15T05:15:15Z | - |
| dc.date.available | 2011-08-19 | |
| dc.date.copyright | 2011-08-19 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-08-18 | |
| dc.identifier.citation | [1] Atheros corp. http://www.qca.qualcomm.com/.
[2] Broadcom corporation. http://www.broadcom.com/. [3] Cpu world website. http://www.cpu-world.com/CPUs/. [4] Ieee 802.11 specification. http://www.ieee802.org/11/. [5] Intel corp. http://www.intel.com/. [6] Monsoon solutions, inc. http://www.msoon.com/LabEquipment/PowerMonitor/. [7] Ralink technology corp. http://www.ralinktech.com/. [8] Energy-aware traffic shaping for wireless real-time applications. In Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium, pages 48–, Washington, DC, USA, 2004. IEEE Computer Society. [9] P. Arora, C. Szepesvari, and R. Zheng. Sequential learning for optimal monitoring of multi-channel wireless networks. In INFOCOM, 2011 Proceedings IEEE, pages 1152 –1160, april 2011. [10] A. Carroll and G. Heiser. An analysis of power consumption in a smartphone. In Proceedings of the 2010 USENIX conference on USENIX annual technical confer- ence, USENIXATC'10, pages 21–21, Berkeley, CA, USA, 2010. USENIX Associ- ation. [11] C.-W. Chen, C.-Y. Yang, T.-W. Kuo, and M.-W. Chang. Energy-efficient real-time co-scheduling of multimedia dsp jobs. In Proceedings of the 2008 IEEE Interna- tional Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008), pages 225–232, Washington, DC, USA, 2008. IEEE Computer Soci- ety. [12] J.-J. Chen and C.-F. Kuo. Energy-efficient scheduling for real-time systems on dy- namic voltage scaling (dvs) platforms. In Proceedings of the 13th IEEE Interna- tional Conference on Embedded and Real-Time Computing Systems and Applica- tions, RTCSA 』07, pages 28–38, Washington, DC, USA, 2007. IEEE Computer Society. [13] J.-J. Chen, C.-Y. Yang, T.-W. Kuo, and C.-S. Shih. Energy-efficient real-time task scheduling in multiprocessor dvs systems. In Proceedings of the 2007 Asia and South Pacific Design Automation Conference, ASP-DAC 07, pages 342–349, Wash- ington, DC, USA, 2007. IEEE Computer Society. [14] P.-C. Hsiu, D.-N. Lee, and T.-W. Kuo. Multi-layer bus optimization for real-time task scheduling with chain-based precedence constraints. In Proceedings of the 2009 30th IEEE Real-Time Systems Symposium, RTSS 09, pages 479–488, Washington, DC, USA, 2009. IEEE Computer Society. [15] C.-F. Kuo, T.-W. Kuo, and C. Chang. Real-time digital signal processing of phased array radars. Parallel and Distributed Systems, IEEE Transactions on, 14(5):433 – 446, may 2003. [16] Y.-C. Lin, C.-Y. Yang, C.-W. Chang, Y.-H. Chang, T.-W. Kuo, and C.-S. Shih. Energy-efficient mapping technique for virtual cores. In Proceedings of the 2010 22nd Euromicro Conference on Real-Time Systems, ECRTS 10, pages 66–75, Washington, DC, USA, 2010. IEEE Computer Society. [17] D. Murray, M. Dixon, and T. Koziniec. Scanning delays in 802.11 networks. In Proceedings of the The 2007 International Conference on Next Generation Mobile Applications, Services and Technologies, pages 255–260, Washington, DC, USA, 2007. IEEE Computer Society. [18] V. Swaminathan and K. Chakrabarty. Pruning-based, energy-optimal, deterministic i/o device scheduling for hard real-time systems. ACM Trans. Embed. Comput. Syst., 4:141–167, February 2005. [19] Y.-H. Wei, C.-Y. Yang, T.-W. Kuo, S.-H. Hung, and Y.-H. Chu. Energy-efficient real-time scheduling of multimedia tasks on multi-core processors. In Proceedings of the 2010 ACM Symposium on Applied Computing, SAC 10, pages 258–262, New York, NY, USA, 2010. ACM. [20] J. Yeo, M. Youssef, and A. Agrawala. A framework for wireless lan monitoring and its applications. In Proceedings of the 3rd ACM workshop on Wireless security, WiSe 04, pages 70–79, New York, NY, USA, 2004. ACM. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46553 | - |
| dc.description.abstract | 近幾年來,越來越多的多核心架構被提出來並且漸漸流行。而這些 架構都是為了裝電池的移動型設備。 對於這種設備來說,儘可能延長 設備的不插電使用時間使很重要的。本論文在設備的部份提出一種多 設備互相合作的一種排程方法來達到省電。在中央處理器的部份提出 一種預留處理器使用率的排程方法來省電,分別在設備方面使用動態 功率管理,中央處理器方面使用動態電壓頻率調整來處理。用模擬的 方式來驗證論文中提出的方法及得知省電的比例 | zh_TW |
| dc.description.abstract | In recent years, various multi-core architectures have become popular se- lections for the designs of battery-aware devices. It is important that devices have long operating time. In this paper, a cooperating-based approach is pro- posed to deal with device part scheduling and a reserving-based method is proposed to cope with processing unit part scheduling. DPM(Dynamic Power Management) is used on device part and DVFS(Dynamic Voltage Frequency Scaling) is used on processing unit part. The power saving ratio is evaluated by a series of simulation. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T05:15:15Z (GMT). No. of bitstreams: 1 ntu-100-R98944002-1.pdf: 3140013 bytes, checksum: e18e34dfcae9651cd99a151ba693db89 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | Contents
口試委員會審定書 i Acknowledgments iii 中文摘要 v Abstract vii 1 Introduction 1 2 System Model and Problem Definition 3 2.1 SystemModel................................ 3 2.2 ProblemDefinition ............................. 4 3 Energy-Efficient Heterogeneous Resource Scheduling 7 3.1 Overview .................................. 7 3.2 Energy Minimization of the Wireless Adaptors (EMWA) . . . . . . . . . 7 3.2.1 ProblemFormulation........................ 8 3.2.2 AGeneralStrategy......................... 8 3.2.3 AStrategyforEfficientChannelSwitching . . . . . . . . . . . . 9 3.3 Energy Minimization with the Consideration of the Processing Unit (EMPU) 13 3.3.1 AChain-BasedTaskModel .................... 13 3.3.2 AChain-BasedTaskSchedulingAlgorithm . . . . . . . . . . . . 15 4 Performance Evaluation 19 4.1 ExperimentalSetup............................. 19 4.2 Different Parameters of Experiment .................... 20 4.2.1 WirelessAdaptorsPart....................... 21 4.2.2 ProcessingUnitPart ........................ 22 4.3 SystemEnergyConsumption........................ 22 4.3.1 DifferentkindofWorkloads .................... 22 4.3.2 WirelessAdaptorsPart....................... 23 4.3.3 ProcessingUnitPart ........................ 23 4.3.4 WholeSystemEnergyConsumption................ 24 5 Conclusion 27 Bibliography 29 List of Figures 2.1 GeneralAarchitecture............................ 3 2.2 SystemArchitecture............................. 4 3.1 FirstLower-boundCondition........................ 9 3.2 SecondLower-boundCondition ...................... 10 3.3 WirelessAdaptorsSchedulingExample .................. 11 3.4 ConfigurationChangingCase1....................... 12 3.5 ConfigurationChangingCase2....................... 12 3.6 ConfigurationChangingCase3....................... 12 3.7 ConfigurationChangingCase4....................... 13 3.8 Chain-BasedTask.............................. 14 3.9 InstantaneousUtilization .......................... 15 4.1 Energy consumption of wireless adaptor with Different Parameters . . . . 21 4.2 Lossrateofwirelessadaptor ........................ 21 4.3 Energy Consumption of Processing Unit with Different Parameters . . . . 22 4.4 EnergyConsumptionofWirelessadaptor ................. 23 4.5 EnergyConsumptionofProcessingUnit.................. 24 4.6 Energy Consumption of Wireless Adaptor and Processing Unit . . . . . . 25 List of Tables 3.1 AdaptorParameterCombination ...................... 9 3.2 WirelessAdaptors’Variables........................ 10 3.3 ProcessingUnit’sVariables......................... 18 4.1 SimulationParameters ........................... 20 | |
| dc.language.iso | en | |
| dc.subject | 省電即時排程 | zh_TW |
| dc.subject | 多資源省電排程 | zh_TW |
| dc.subject | 無線網卡 | zh_TW |
| dc.subject | wireless adaptor | en |
| dc.subject | multiresource energy-efficient real-time scheduling | en |
| dc.subject | energy-efficient real-time scheduling | en |
| dc.title | 多網卡省電封包收集策略 | zh_TW |
| dc.title | A Case Study of Energy-Efficient Heterogeneous Resource Management over Wireless Network | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 張原豪(Yuan-Hao Chang) | |
| dc.contributor.oralexamcommittee | 逄愛君(Ai-Chun Pang),施吉昇(Chi-Sheng Shih),洪士灝(Shih-Hao Hung) | |
| dc.subject.keyword | 省電即時排程,無線網卡,多資源省電排程, | zh_TW |
| dc.subject.keyword | energy-efficient real-time scheduling,wireless adaptor,multiresource energy-efficient real-time scheduling, | en |
| dc.relation.page | 30 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-08-18 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位: | 資訊網路與多媒體研究所 | |
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