Virtual Machine Placement for Improving Energy Efficiency and Network Performance in IaaS Cloud

Under the premise of ensuring application performance, how to place virtual machines (VMs) on physical machines (PMs) to improve resource utilization and reduce energy consumption is one of the major concerns for cloud providers in IaaS cloud. The existing VM placement schemes are mostly to reduce e...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiankang Dong, Hongbo Wang, Xing Jin, Yangyang Li, Peng Zhang, Shiduan Cheng
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
Energy consumption
Energy Optimization
IaaS Cloud
Network Performance
Optimization
Resource management
Servers
Telecommunication traffic
Vectors
Virtual Machine Placement
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Under the premise of ensuring application performance, how to place virtual machines (VMs) on physical machines (PMs) to improve resource utilization and reduce energy consumption is one of the major concerns for cloud providers in IaaS cloud. The existing VM placement schemes are mostly to reduce energy consumption by optimizing utilization of physical server or network elements, but the issue of aggressive consolidation of VM is ignored, which may lead to network performance degradation. To address the issue, this paper proposes a VM placement scheme based on a new two-stage heuristic algorithm to optimize network performance and to reduce energy consumption of physical servers and network elements, so as to finally achieve the tradeoff between energy efficiency and network performance. The simulations show that our solution achieves good results.
ISSN:1545-0678
2332-5666
DOI:10.1109/ICDCSW.2013.48