Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems

Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems

碩士 === 國立成功大學 === 製造資訊與系統研究所 === 102 === In this paper, we discuss how to decide SaaS vendor resources size and type under different user behavior, lead to average total cost minimum. We propose ``Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Typ...

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Main Authors: Hsuan-ChunLin, 林鉉竣
Other Authors: Chao-Chun Chen
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/39131337098104937901
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spelling ndltd-TW-102NCKU56210172015-10-14T00:12:48Z http://ndltd.ncl.edu.tw/handle/39131337098104937901 Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems 設計與模擬使用者到達變異性為基礎的雲端異質性虛擬機器資源提供與指派方法 Hsuan-ChunLin 林鉉竣 碩士 國立成功大學 製造資訊與系統研究所 102 In this paper, we discuss how to decide SaaS vendor resources size and type under different user behavior, lead to average total cost minimum. We propose ``Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs' according to the average user arrivals determine the size of the resource pool and virtual machines type ratio within cloud service providers to achieve goal. We designed a series of experiments to support our idea is correct and experiments results show our methods is significant. Chao-Chun Chen 陳朝鈞 2014 學位論文 ; thesis 46 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 製造資訊與系統研究所 === 102 === In this paper, we discuss how to decide SaaS vendor resources size and type under different user behavior, lead to average total cost minimum. We propose ``Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs' according to the average user arrivals determine the size of the resource pool and virtual machines type ratio within cloud service providers to achieve goal. We designed a series of experiments to support our idea is correct and experiments results show our methods is significant.
author2 Chao-Chun Chen
author_facet Chao-Chun Chen
Hsuan-ChunLin
林鉉竣
author Hsuan-ChunLin
林鉉竣
spellingShingle Hsuan-ChunLin
林鉉竣
Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
author_sort Hsuan-ChunLin
title Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
title_short Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
title_full Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
title_fullStr Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
title_full_unstemmed Design and Modeling of Arrival Variance-based Methods for Resource Provision and Allocation Management with Heterogeneous Types of VMs in Cloud Computing Systems
title_sort design and modeling of arrival variance-based methods for resource provision and allocation management with heterogeneous types of vms in cloud computing systems
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/39131337098104937901
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