Virtual machine effects on network traffic dynamics

被引：0

作者：

Martin, J ^{[1
]}

Rajasekaran, V ^{[1
]}

Westall, J ^{[1
]}

机构：

[1] Clemson Univ, Dept Comp Sci, Clemson, SC 29634 USA

来源：

CONFERENCE PROCEEDINGS OF THE 2005 IEEE INTERNATIONAL PERFORMANCE, COMPUTING AND COMMUNICATIONS CONFERENCE | 2005年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Although virtual machine performance has been widely studied in the context of CPU utilization, the effects of virtual machines on network traffic dynamics has received far less attention. In this study, using VMware's GSX server on a Linux host, we evaluate the impact of VM overhead on TCP performance in both a LAN and emulated WAN evironment. It is shown that when multiple VM hosted TCP senders compete on a LAN, sustained aggregate throughput decreases significantly and that ack arrival distributions are strongly affected. In the emulated WAN environment, TCP is shown to exhibit increasingly bursty behavior with associated increases in loss rate as the number of virtual Web servers increases.

引用

页码：233 / 238

页数：6

共 50 条

[41] A First Look at Machine-to-Machine Power Grid Network Traffic
Jung, Sang Shin
Formby, David
Day, Carson
Beyah, Raheem
2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 884 - 889
[42] Virtual Time Machine for Reproducible Network Emulation
Chen, Jin
Liu, Jiang
Huang, Tao
Liu, Jason
PROCEEDINGS OF THE 2019 ACM SIGSIM CONFERENCE ON PRINCIPLES OF ADVANCED DISCRETE SIMULATION (SIGSIM-PADS'19), 2019, : 61 - 70
[43] Self-similar traffic and network dynamics
Erramilli, A
Roughan, M
Veitch, D
Willinger, W
PROCEEDINGS OF THE IEEE, 2002, 90 (05) : 800 - 819
[44] Address and traffic dynamics in a large enterprise network
Karagiannis, Thomas
Mortier, Richard
PROCEEDINGS OF THE 2008 16TH IEEE WORKSHOP ON LOCAL AND METROPOLITAN AREA NETWORKS, 2008, : 102 - 107
[45] Modeling traffic volatility dynamics in an urban network
Kamarianakis, Y
Kanas, A
Prastacos, P
NETWORK MODELING 2005, 2005, (1923): : 18 - 27
[46] Learning and managing stochastic network traffic dynamics with an aggregate traffic representation
Liu, Wei
Szeto, Wai Yuen
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2020, 137 : 19 - 46
[47] VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers
Fang, Weiwei
Liang, Xiangmin
Li, Shengxin
Chiaraviglio, Luca
Xiong, Naixue
COMPUTER NETWORKS, 2013, 57 (01) : 179 - 196
[48] Network Traffic Data Collection for Machine Learning Analysis
Chao, James
Rodriguez, Ramiro
SPIE FUTURE SENSING TECHNOLOGIES 2023, 2023, 12327
[49] Investigation of Machine Learning Based Network Traffic Classification
Fan, Zhong
Liu, Ran
2017 INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS), 2017, : 1 - 6
[50] Network Traffic Obfuscation: An Adversarial Machine Learning Approach
Verma, Gunjan
Ciftcioglu, Ertugrul
Sheatsley, Ryan
Chan, Kevin
Scott, Lisa
2018 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2018), 2018, : 413 - 418

← 1 2 3 4 5 →