以額度控制為基礎之雲端交換機封包錯序研究及其改善方法;Switch of cloud computing based on the credit of control packet out of sequence and its improvements

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题名:	以額度控制為基礎之雲端交換機封包錯序研究及其改善方法;Switch of cloud computing based on the credit of control packet out of sequence and its improvements
作者:	孫崇誠;Sun,Tsung-cheng
贡献者:	通訊工程研究所碩士在職專班
关键词:	雲端運算;額度控制;封包錯序;交換機;分散式運算;網路效能;Distributed Computing;Switch;out of sequence;HCF;Hashed Credits Fair;Cloud Computing;Congestion Notification;Incast
日期:	2012-07-24
上传时间:	2012-09-11 18:49:04 (UTC+8)
出版者:	國立中央大學
摘要:	雲端運算(Cloud Computing)是描述一種基於網際網路(Internet)的服務，雲端運算不是一種新技術，而是一種虛擬概念的代表，其目的在動態調整資源配置以減少建置成本、提高資源使用率及服務效能、並提供更強的系統備援系統管理自動化等。雲端運算其實就是指網路運算與網路存儲存的概念，其本質承襲自分散式運算(Distributed Computing)。如我們使用的Google的服務，就不會僅是一個超級電腦，而是由一大群電腦所組成的雲端運算，提供所有的服務。雲端運算不是只有分散式運算，還包括大量資料的儲存、備份、與存取。近年來，在雲端資料存取網路(Storage Area Network, SAN)中，TCP協定特性的關係，被發現其產生的Incast現象影響雲端資料處理效能甚鉅，已有一些文獻提出解決方案。其中Hashed Credits Fair方法提出透過credit與高低優先權佇列方式以平衡各資料流的傳輸量來解決Incast問題。本研究發現其方式有可能造成封包錯序的問題，因此本論文除探入討論其錯序現象外，也提出解決方案，除此之外，並從實驗模擬中觀察到所提方法在高低優先權佇列的使用也比既有方法更為平均。Cloud computing, which is not a new technology, a kind of internet services. Basically, it is a concept of virtual concept to flexibly reconfig the network respources to decrease installation cost, increase resource utilization and service performance, data backup and automatic management. Cloud computing is naturally a distributed processing concept and it includes computing and storage management. The virtualization makes the Recently, it was found that, due to the TCP protocol characteristics, the existence of incast issue in the storage area network greatly affects the processing performance of the cloud computing. There are several researches proposed to deal with this issue. Among them, the hashed credits fair (HCF) scheme applies the concept of credit and high/low priority queues to balance the data flows so as to resolve the incast problem. However, we found that the HCF scheme may introduce the out of sequence (OOS) problem. In this thesis, we study and analyze the OOS issue in HCF and propose a scheme to solve it. In addition, we also investigate the queuing behaviors through exhaustive simulations and find that the proposed scheme shows more balance in utilizing the high and low priotity queues.
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