Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 102 === In order to detect the presence of network performance bottleneck for applications in datacenter environment, we propose the NBD tool for determining the maximum network throughput of an application in datacenter environment. NBD is fully transparent and does...

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Main Authors: Lu, Sung-Jer, 呂松澤
Other Authors: Wu, Yu-Sung
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/65729871271848460626
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spelling ndltd-TW-102NCTU53940312016-07-02T04:20:30Z http://ndltd.ncl.edu.tw/handle/65729871271848460626 Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application 資料中心應用程式網路效能瓶頸偵測暨網路最高流速之估算 Lu, Sung-Jer 呂松澤 碩士 國立交通大學 資訊科學與工程研究所 102 In order to detect the presence of network performance bottleneck for applications in datacenter environment, we propose the NBD tool for determining the maximum network throughput of an application in datacenter environment. NBD is fully transparent and does not require modification to the applications. NBD employs a novel technique called network flow distortion for bottleneck level estimation. The network connection states are all maintained throughout the operation of NBD. The NBD prototype has been shown to give accurate detection of network performance bottleneck and incur a mild performance overhead. Key word: datacenter, cloud computing, network throughput, bottleneck, virtual machine Wu, Yu-Sung 吳育松 2013 學位論文 ; thesis 51 en_US
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language en_US
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 資訊科學與工程研究所 === 102 === In order to detect the presence of network performance bottleneck for applications in datacenter environment, we propose the NBD tool for determining the maximum network throughput of an application in datacenter environment. NBD is fully transparent and does not require modification to the applications. NBD employs a novel technique called network flow distortion for bottleneck level estimation. The network connection states are all maintained throughout the operation of NBD. The NBD prototype has been shown to give accurate detection of network performance bottleneck and incur a mild performance overhead. Key word: datacenter, cloud computing, network throughput, bottleneck, virtual machine
author2 Wu, Yu-Sung
author_facet Wu, Yu-Sung
Lu, Sung-Jer
呂松澤
author Lu, Sung-Jer
呂松澤
spellingShingle Lu, Sung-Jer
呂松澤
Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
author_sort Lu, Sung-Jer
title Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
title_short Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
title_full Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
title_fullStr Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
title_full_unstemmed Network Performance Bottleneck Detection and Maximum Network Throughput Estimation for Datacenter Application
title_sort network performance bottleneck detection and maximum network throughput estimation for datacenter application
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/65729871271848460626
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