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研究生:周傳欣
研究生(外文):CHOU, CHUAN-HSIN
論文名稱:雲端平台上動態虛擬化頻寬分配法以提昇網路處理績效
論文名稱(外文):Design Dynamic Virtualized Bandwidth Allocation Scheme to Improve Networking Performance in Cloud Platform
指導教授:楊欣哲楊欣哲引用關係
指導教授(外文):YANG, SHIN-JER
口試委員:陳彥文廖文華
口試日期:2017-07-20
學位類別:碩士
校院名稱:東吳大學
系所名稱:資訊管理學系
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:46
中文關鍵詞:雲端運算動態虛擬化頻寬分配軟體定義網路頻寬佇列
外文關鍵詞:Cloud ComputingDynamic Virtualized Bandwidth AllocationSDN/OpenFlowBandwidth
相關次數:
  • 被引用被引用:0
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  • 下載下載:27
  • 收藏至我的研究室書目清單書目收藏:0
目前於雲端環境上,其計算資源配置虛擬化,大多數的研究均專注於主機的CPU使用、記憶體配置、及硬碟空間管理,已有許多文獻的研究探討,但是在頻寬資源配置的部分尚未有一套有效率的虛擬化管理機制,無法即時彈性地做即時的調整以提供資源給不同需求的使用者與遞增的封包,使得網路處理績效較差以降低服務品質。因此,本研究針對虛擬化計算資源中的網路頻寬部分,以SDN/ OpenFlow集中式管理的架構為基礎,考量NETSHARE未依據ToS (Type of Services)做動態與公平的頻寬資源分配之不足並加以改良,於雲端平台上提出一種新的虛擬化頻寬資源分配管理機制,稱為動態虛擬化頻寬分配法(Dynamic Virtualized Bandwidth Allocation Scheme),簡稱為DVBA。
本論文透過此DVBA方法,以加權式公平佇列的觀點分配頻寬資源,將封包的ToS屬性為依據來做頻寬分配的權重,除了分辨使用者的來源提供對應層級的使用資源,亦考量使用者資源的負載狀況、服務的性質、封包的大小、及頻寬佇列的使用率,不僅動態地調整雲端伺服器的網路頻寬提供使用者足夠的頻寬資源,亦提供了彈性的管理機制讓管理者方便地調整。本論文提出三個關鍵績效指標(KPIs)並與NETSHARE方法進行模擬實驗比較,實驗結果顯示,在處理能量部分能提升約18.51%、平均處理時間部分減少約15.57%、封包延遲時間部分降低約47.96%,證明DVBA方法能有效地利用頻寬資源以提升網路處理績效。未來,將繼續改善DVBA方法目前的不足之處與限制,透過考慮更多的因素,模擬更多的績效指標來驗證所提出的DVBA方法,期望能運用於跨雲伺服器的模式,使得頻寬使用率能夠更加提升且更有效率地控管,以提供較佳的服務品質。

Virtualization is necessary first step in realizing cloud computing. Most studies so far have only focused on CPU usage, memory and disk resources managements in the cloud environment. There is still not efficient tuning mechanism for virtualized bandwidth resource allocation, it cannot be flexibly adjusted in real time due to various types of applications and increasing number of packets. Therefore, this paper proposes a new virtualized mechanism for allocating and managing bandwidth resource, called Dynamic Virtualized Bandwidth Allocation (DVBA).
In this paper, the DVBA scheme can employ the basis of SDN/OpenFlow centralized management architecture and also fix the inadequacies in static and fair bandwidth resource allocation of NETSHARE for virtualized bandwidth in a cloud platform. Hence, the proposed DVBA that allocates bandwidth resources from the perspective of Weighted Fair Queueing, in addition to providing corresponding resources to cloud users, and also considering loading status, quality of services, packet size and the usage of bandwidth queues. Then, we perform simulations to compare DVBA with NETSHARE using KPIs in terms of Throughput, Average Processing Time, and the Packet Latency. Finally, the experimental results indicate that DVBA has higher Throughput, lower Average Processing Time and Packet Latency in total averaging about 18.51%, 15.57%, and 47.96% for different cloud users, respectively. In the future, we will perform more simulations with other KPIs such like packet loss ratio to prove that the DVBA can dynamically adjust bandwidth allocation and enable easy tuning network resource for many more users cross the cloud platforms.
雲端平台上動態虛擬化頻寬分配法以提昇網路處理績效
(Design Dynamic Virtualized Bandwidth Allocation Scheme to Improve Networking Performance in Cloud Platform)
致謝 i
摘要 ii
ABSTRACT iii
表目錄 v
圖目錄 vi
1. 緒論 1
1.1 研究背景 1
1.2 研究目的 2
1.3 研究流程 4
1.4 章節結構說明 5
2. 文獻探討及相關研究 6
2.1 雲端運算簡介 6
2.2 虛擬化技術 8
2.3 SDN/OpenFlow架構 9
2.4 加權公平佇列 (Weighted Fair Queueing) 11
2.5 NETSHARE 13
3. DVBA作業原理及演算法設計 15
3.1 DVBA運作架構與原理 15
3.2 DVBA演算法設計 20
4. 模擬環境建置與實驗結果分析 24
4.1 模擬環境配置 24
4.2 關鍵績效指標及模擬程序 26
4.3 實驗結果與分析 29
5. 結論 34
參考文獻 36


一、中文參考文獻
[1]李威儒. 雲端資源租用策略最佳化. Diss. 李威儒, 2011.
[2]楊欣哲, 雲端運算核心技術之一:虛擬機器(VM)
http://www.uis.com.tw/edm/uisnews/uisnews042/learning.aspx, Retrieved May 15, 2016.
[3]胡嘉璽,雲端運算初探, http://www.slideshare.net/vaemon/1-1-3358000, Retrieved June 10, 2016.
[4]何哲勳、楊慧卿、沈惠如, 新一代網路架構之軟體定義網路與應用服務技術, Retrieved June 11, 2016.
[5]廖俊傑、林盈達, SDN交換器與傳統交換器的架構與效能比較, http://speed.cis.nctu.edu.tw/~ydlin/miscpub/indep_study_ccliao9625.pdf, Retrieved June 16, 2016.
[6]雷葆華、王峰、王茜、王和宇, 為什麼台灣主機會有Google美國IP?從SDN實作了解, 2016.
[7]次世代網路變革關鍵, http://www.ithome.com.tw/node/71227, Retrieved June 30, 2016.
二、英文參考文獻
[8]Develder, Chris, et al., "Optical Networks for Grid and Cloud Computing Applications", In Proceedings of the IEEE 100.5, Special Issue on “The Evolution of Optical Networking”, 2012, pp. 1149-1167.
[9]Pu, Xing, et al. "Understanding Performance Interference of I/O Workload in Virtualized Cloud Environments", In Proceedings of IEEE 3rd International Conference on.Cloud Computing (CLOUD-2010), 2010, pp. 51-58.
[10]Rosa, Raphael Vicente, Christian Esteve Rothenberg, and Edmundo Madeira. "Virtual Data Center Networks Embedding Through Software Defined Networking", In Proceedings of IEEE Network Operations and Management Symposium (NOMS), 2014, pp. 1-5.
[11]Open Networking Foundation (ONF), https://www.opennetworking.org/, May 20, 2016.
[12]Nadeau, Thomas D., and Ken Gray. SDN: Software Defined Networks: An Authoritative Review of Network Programmability Technologies", O'Reilly Media, Inc., 2013.
[13]Azodolmolky, Siamak, Philipp Wieder, and Ramin Yahyapour. "SDN-based Cloud Computing Networking", In Proceedings of IEEE 15th International Conference on. Transparent Optical Neworks (ICTON), 2013, pp. 1-4.
[14]Altufaili, Mohammed Mahdi Salih Ibraheem. "Intelligent Network Bandwidth Allocation using SDN (Software Defined Networking)", International Journal of Engineering Research and Technology (IJERT), Vol. 4. No. 7, July 2015.
[15]Goyal, Megha, Yashpal Lather, and Vivek Lather. "Modelling & Simulation of Queueing Displines Overthe N/W Carried Applications (FTP, Videoand VOIP) for Traffic Dropped& Time Delay", International Journal of Computer Science and Mobile Computing, Vol. 4, No. 1, January 2015, pp. 562-570
[16]Mustafa, Mustafa Elgili. "The Effect of Queuing Mechanisms First in First out (FIFO), Priority Queuing (PQ) and Weighted Fair Queuing (WFQ) on Network's Routers and Applications", International Journal of Engineering Innovation & Research (IJEIR), Vol. 4, No. 1, 2015, pp. 188-191.
[17]Qos Queue Scheduling, http://chunchaichang.blogspot.tw/2011/07/ qos-queue-scheduling.html, June 30, 2016
[18]Radhakrishnan, Sivasankar, et al. "Netshare and Stochastic Netshare: Predictable Bandwidth Allocation for Data Centers." ACM SIGCOMM Computer Communication Review, Vol. 42, No. 3, 2012, pp. 5-11.

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