arrow
返回

A Reference Model for Virtual Machine Launching Overhead

delete2016-07-01
delete11
delete
OA
AI
H
Hao Wu *
S
Shangping Ren
G
Gabriele Garzoglio
S
S. Timm
G
Gerard Bernabeu
K
K. Chadwick
S
S. Y. Noh
DOI:10.1109/TCC.2014.2369439delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Cloud bursting is one of the key research topics in the cloud computing communities. A well designed cloud bursting module enables private clouds to automatically launch virtual machines (VMs) to public clouds when more resources are needed. One of the main challenges in developing a cloud bursting module is to decide when and where to launch a VM so that all resources are most effectively and efficiently utilized and the system performance is optimized. However, based on system operational data obtained from FermiCloud, a private cloud developed by the Fermi National Accelerator Laboratory for scientific workflows, the VM launching overhead is not a constant. It varies with physical resource utilization, such as CPU and I/O device utilizations, at the time when a VM is launched. Hence, to make judicious decisions as to when and where a VM should be launched, a VM launching overhead reference model is needed. In this paper, we first develop a VM launching overhead reference model based on operational data we have obtained on FermiCloud. Second, we apply the developed reference model on FermiCloud and compare calculated VM launching overhead values based on the model with measured overhead values on FermiCloud. Our empirical results on FermiCloud indicate that the developed reference model is accurate. We believe, with the guidance of the developed reference model, efficient resource allocation algorithms can be developed for cloud bursting process to minimize the operational cost and resource waste.
Keyword:
VM launching overhead
reference model
cloud
FermiCloud
virtual machine
vm launching
vm startup time
launch
overhead
model
predict
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

I
IEEE Transactions on Cloud Computing
IF:
5
论文数:
1.8K
被引数:
4.3K

机构

I
Illinois Institute of Technology
学者数:
3.8K
论文数: 3.9K
被引数: 4.2K
U
university of chicago
学者数:
4.5W
论文数: 3.7W
被引数: 80
U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
学者 查看更多机构
引用论文

引用论文

err分享
err收藏
err分享
err收藏
Musical experience modulates categorical perception of lexical tones in native Chinese speakers
err2015-04-13
err0
errOAAI
errHan Wu; Xiaohui Ma; Linjun Zhang; Youyi Liu; Yang Zhang; Hua Shu
err分享
err收藏
From dystrophinopathy to sarcoglycanopathy: Evolution of a concept of muscular dystrophy
err1998-04-01
err0
PREAI
errEijiro Ozawa; Satoru Noguchi; Yuji Mizuno; Yasuko Hagiwara; Mikiharu Yoshida
err分享
err收藏
Use of transcriptomics for diagnosis of infections and sepsis in children: A narrative review
err2024-01-19
err0
PREAI
errFrancesca Casini; Maria Sole Valentino; Marc Garcia Lorenzo; Roberta Caiazzo; Crescenzo Coppola; Daniela David; Raffaella Di Tonno; Vania Giacomet
err分享
err收藏
学者 查看更多内容