(3.238.36.32) 您好!臺灣時間:2021/02/27 09:57
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:陳惠雯
研究生(外文):Hui-Wen Chen
論文名稱:使用固態硬碟之多媒體伺服器的省電儲存策略
論文名稱(外文):An Energy-Aware Data Placement Strategy for SSD-Assisted Streaming Video Servers
指導教授:郭大維郭大維引用關係
指導教授(外文):Tei-Wei Kuo
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:資訊工程學研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2010
畢業學年度:98
語文別:英文
論文頁數:29
中文關鍵詞:多媒體伺服器儲存系統固態硬碟省電資料擺放
外文關鍵詞:video serverstorage systemsolid-state driveshard disksenergy consumptiondata placement policy
相關次數:
  • 被引用被引用:0
  • 點閱點閱:148
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
有鑑於近年來雲端風氣的興起及多媒體伺服器龐大的能源消耗,本論文藉由加入低耗電的固態硬碟設計出一套針對多媒體伺服器的省電儲存策略。此省電儲存策略會搭配一套降低儲存系統頻寬需求量的排程策略,藉由減少儲存系統的頻寬負荷量使得系統中硬碟可盡量進入休眠模式以節省整體多媒體伺服器之儲存系統的整體耗電量。在此省電儲存策略中,先以PDC為基準把大部分的熱門電影存放在少部分的硬碟中,接著透過適當的複製影片到硬碟及固態硬碟內使得不同儲存媒介可以同時存放熱門及不熱門的影片資料。如此一來,多媒體伺服器便可隨目前系統中之負載量調整進入休眠模式的硬碟數量以達到省電之目的。此外,此儲存省電策略並搭配使用批次等方法降低頻寬需求量的排程策略以降低系統中目前需耗電的磁碟數量。相較於傳統的PDC,本論文提出的方法在系統需求量較低時可節省約一倍的耗電量。

This paper is motivated by the tremendous energy consumption of streaming video servers and the energy-economic nature of solid-state drives. An energy-aware data placement strategy and its associated scheduling strategy is proposed for steaming video servers equipped with solid-state drives (SSDs). A skewed energy-aware load over SSDs and disks is adopted with a duplication policy to mix popular and unpopular video files so that disks could spin down as much as possible. With the concepts of batch processing and patching further integrated with the scheduling strategy, the proposed strategy could further reduce the bandwidth load and minimize the number of active disks.

List of Tables v
List of Figures vi
List of Algorithms vii
Chapter 1 Introduction 1
Chapter 2 System Architecture and Problem Definition 4
2.1 System Architecture and Problem Definition 4
Chapter 3 Batching-Oriented Energy-Aware Data Placement Strategy 8
3.1 SL-SVS: Skewed-Load Streaming Video Server 8
3.1.1 Batch and Patching Basic 9
3.1.2 SL-PDC: The Video Stream Placement Strategy 12
3.1.3 SL-BP: Online Request-Reduction Strategy 16
3.2 Remarks on the Entire System Design 18
Chapter 4 Performance Evaluation 19
4.1 Performance Metrics and Experimental Setup 19
4.2 Experimental Results 20
4.2.1 Impact of Number of Viewers 20
4.2.2 The Impact of Transition 23
4.3 The Impact of SSD’s 24
Chapter 5 Conclusion 26
References 27
Appendix 29

References
[1] “Energy and The Data Center Industry.” http://greengridpartners.com/energy-datacenter. php.
[2] “Power, Heat, and Sledgehammer.” http://www.maxt.com/downloads/white papers /SledgehammerPowerHeat20411.pdf, 2002.
[3] “At five years, two billion views per day and counting.” http://youtubeglobal. blogspot.com/2010/05/at-five-years-two-billion-views-per-day.html, 2010.
[4] S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, and H. Franke, “Drpm: dynamic speed control for power management in server class disks,” in Computer Architecture, 2003. Proceedings. 30th Annual International Symposium on, pp. 169 – 179, 9-11 2003.
[5] D. Colarelli and D. Grunwald, “Massive arrays of idle disks for storage archives,” in Supercomputing, ACM/IEEE 2002 Conference, pp. 47 – 47, 16-22 2002.
[6] E. Pinheiro and R. Bianchini, “Energy conservation techniques for disk array-based servers,” in ICS ’04: Proceedings of the 18th annual international conference on Supercomputing, (New York, NY, USA), pp. 68–78, ACM, 2004.
[7] T. Xie, “Sea: A striping-based energy-aware strategy for data placement in raid-structured storage systems,” Computers, IEEE Transactions on, vol. 57, pp. 748 –761, june 2008.
[8] S. Y. Adam Manzanares, Xiaojun Ruan and X. Qin, “PRE-BUD: Prefetching for Energy- Efficient Parallel I/O Systems with Buffer Disks,”
[9] Q. Zhu, F. M. David, C. F. Devaraj, Z. Li, Y. Zhou, and P. Cao, “Reducing energy consumption of disk storage using power-aware cache management,” in HPCA ’04: Proceedings of the 10th International Symposium on High Performance Computer Architecture, (Washington, DC, USA), p. 118, IEEE Computer Society, 2004.
[10] Q. Zhu, A. Shankar, and Y. Zhou, “Pb-lru: a self-tuning power aware storage cache replacement algorithm for conserving disk energy,” in ICS ’04: Proceedings of the 18th annual international conference on Supercomputing, (New York, NY, USA), pp. 79–88, ACM, 2004.
[11] Y.-J. Kim, K.-T. Kwon, and J. Kim, “Energy-efficient file placement techniques for heterogeneous mobile storage systems,” in EMSOFT ’06: Proceedings of the 6th ACM & 27 IEEE International conference on Embedded software, (New York, NY, USA), pp. 171– 177, ACM, 2006.
[12] T. Xie and Y. Sun, “Dynamic data reallocation in hybrid disk arrays,” Parallel and Distributed Systems, IEEE Transactions on, vol. PP, no. 99, pp. 1 –1, 2010.
[13] N. Agrawal, V. Prabhakaran, T. Wobber, J. D. Davis, M. Manasse, and R. Panigrahy, “Design tradeoffs for ssd performance.”
[14] A. Dan, D. Sitaram, and P. Shahabuddin, “Scheduling policies for an on-demand video server with batching,” in MULTIMEDIA ’94: Proceedings of the second ACM international conference on Multimedia, (New York, NY, USA), pp. 15–23, ACM, 1994.
[15] K. A. Hua, Y. Cai, and S. Sheu, “Patching: a multicast technique for true video-ondemand services,” in MULTIMEDIA ’98: Proceedings of the sixth ACM international conference on Multimedia, (New York, NY, USA), pp. 191–200, ACM, 1998.
[16] D. Guan and S. Yu, “A two-level patching scheme for video-on-demand delivery,” Broadcasting, IEEE Transactions on, vol. 50, pp. 11 – 15, march 2004.
[17] H. Hlavacs and S. Buchinger, “Hierarchical video patching with optimal server bandwidth,” ACM Trans. Multimedia Comput. Commun. Appl., vol. 4, no. 1, pp. 1–23, 2008.
[18] C. Aggarwal, J. Wolf, and P. S. Yu, “On optimal piggyback merging policies for videoon- demand systems,” in SIGMETRICS ’96: Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, (New York, NY, USA), pp. 200–209, ACM, 1996.
[19] L. Gao and T. D., “Supplying instantaneous video-on-demand services using controlled multicast,” in Multimedia Computing and Systems, 1999. IEEE International Conference on, vol. 2, pp. 117 –121 vol.2, jul 1999.
[20] “WD SiliconEdge Blue datasheet.” http://www.wdc.com/wdproducts/library/ SpecSheet/ENG/2879-771357.pdf.
[21] “WD VelociRaptor datasheet.” http://www.wdc.com/wdproducts/library /SpecSheet/ENG/2879-701284.pdf.
[22] A. Dan, D. Sitaram, and P. Shahabuddin, “Dynamic batching policies for an on-demand video server,” Multimedia Syst., vol. 4, no. 3, pp. 112–121, 1996.
[23] “H.264 Advanced Video Coding.”

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
系統版面圖檔 系統版面圖檔