Next Article in Journal
A Comparison Study of Kernel Functions in the Support Vector Machine and Its Application for Termite Detection
Previous Article in Journal
Entity Attribute Value Style Modeling Approach for Archetype Based Data
Article Menu

Export Article

Open AccessArticle
Information 2018, 9(1), 4; doi:10.3390/info9010004

An RTT-Aware Virtual Machine Placement Method

1
School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
School of Computer and Information, Hefei University of Technology, Hefei 230000, China
*
Author to whom correspondence should be addressed.
Received: 29 November 2017 / Revised: 26 December 2017 / Accepted: 26 December 2017 / Published: 29 December 2017
View Full-Text   |   Download PDF [3031 KB, uploaded 5 January 2018]   |  

Abstract

Virtualization is a key technology for mobile cloud computing (MCC) and the virtual machine (VM) is a core component of virtualization. VM provides a relatively independent running environment for different applications. Therefore, the VM placement problem focuses on how to place VMs on optimal physical machines, which ensures efficient use of resources and the quality of service, etc. Most previous work focuses on energy consumption, network traffic between VMs and so on and rarely consider the delay for end users’ requests. In contrast, the latency between requests and VMs is considered in this paper for the scenario of optimal VM placement in MCC. In order to minimize average RTT for all requests, the round-trip time (RTT) is first used as the metric for the latency of requests. Based on our proposed RTT metric, an RTT-Aware VM placement algorithm is then proposed to minimize the average RTT. Furthermore, the case in which one of the core switches does not work is considered. A VM rescheduling algorithm is proposed to keep the average RTT lower and reduce the fluctuation of the average RTT. Finally, in the simulation study, our algorithm shows its advantage over existing methods, including random placement, the traffic-aware VM placement algorithm and the remaining utilization-aware algorithm. View Full-Text
Keywords: virtual machine placement; round-trip time; cloud computing; mobile cloud computing virtual machine placement; round-trip time; cloud computing; mobile cloud computing
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Quan, L.; Wang, Z.; Ren, F. An RTT-Aware Virtual Machine Placement Method. Information 2018, 9, 4.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top