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Automated cloud migration based on network traffic dependencies

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Abstract
We propose a cloud migration strategy that migrates applications and services running on multiple virtual machines (VMs) from one cloud environment to another. Current migration techniques mostly focus on migrating VMs between physical servers that are placed inside a single cloud. In this work, we consider an automated cloud migration system that enables a cloud migration of multiple VMs between different cloud infrastructures. However, if multiple VMs are used to constitute a multi-tier web application, the cloud migration must consider any dependency among the VMs. Otherwise, it could cause a significant increase in downtime of the application during the migration. To reduce the migration downtime of applications, we propose a VM grouping scheme using principal component analysis (PCA) based on traffic dependencies. For our experiments, a cloud environment is built with OpenStack, which is an open source software for creating and managing VM-based cloud computing environments.
Author(s)
Narantuya, JargalsaikhanZang, HannieLim, Hyuk
Issued Date
2017-07
Type
Conference Paper
DOI
10.1109/NETSOFT.2017.8004235
URI
https://scholar.gist.ac.kr/handle/local/20280
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2017 IEEE Conference on Network Softwarization, NetSoft 2017
Conference Place
IT
Appears in Collections:
Department of AI Convergence > 2. Conference Papers
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