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Virtual Machine Placement Method with Compressed Sensing-Based Traffic Volume Estimation

In a cloud computing environment, a virtual machine placement (VMP) problem is considered for traffic load balancing, where each VM is placed on a physical host according to traffic loads in the physical hosts. In particular, VM is referred to as a node and a pair of nodes is considered a flow. To a...

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Main Authors:	Yamamoto, Ami, Yumoto, Kenta, Matsuda, Takahiro, Higuchi, Junichi, Kodama, Takeshi, Ueno, Hitoshi, Shiraishi, Takashi
Format:	Conference Proceeding
Language:	English
Subjects:	Cloud computing compressed sensing Load management Optimization Sensors Telecommunication traffic traffic volume estimation virtual machine Virtual machining VM placement Volume measurement
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creator	Yamamoto, Ami Yumoto, Kenta Matsuda, Takahiro Higuchi, Junichi Kodama, Takeshi Ueno, Hitoshi Shiraishi, Takashi
description	In a cloud computing environment, a virtual machine placement (VMP) problem is considered for traffic load balancing, where each VM is placed on a physical host according to traffic loads in the physical hosts. In particular, VM is referred to as a node and a pair of nodes is considered a flow. To achieve load balancing, identifying flows that transfer heavy traffic volumes is necessary. We propose a VMP method with compressed sensing (CS)-based traffic volume estimation. In the proposed method, all flow traffic volumes are estimated by CS from the traffic volumes that nodes transmit and receive. VMs are placed according to the estimated flow traffic volumes by solving a combinatorial optimization problem. We validate the proposed method via simulation experiments.
doi_str_mv	10.1109/ICCE-Taiwan58799.2023.10226756
format	conference_proceeding
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ispartof	2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2023, p.463-464
issn	2575-8284
language	eng
recordid	cdi_ieee_primary_10226756
source	IEEE Xplore All Conference Series
subjects	Cloud computing compressed sensing Load management Optimization Sensors Telecommunication traffic traffic volume estimation virtual machine Virtual machining VM placement Volume measurement
title	Virtual Machine Placement Method with Compressed Sensing-Based Traffic Volume Estimation
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