| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2019-11-12 |
| タイトル |
|
|
タイトル |
Hierarchical and Frequency-Aware Model Predictive Control for Bare-Metal Cloud Applications |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Bare-metal cloud |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
frequency-aware |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
auto scaling |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Model Predictive Control |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
resource reconfiguration |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
小川, 祐紀雄
長谷川, 剛
村田, 正幸
|
| 室蘭工業大学研究者データベースへのリンク |
|
|
|
小川 祐紀雄（OGAWA Yukio） |
|
|
http://rdsoran.muroran-it.ac.jp/html/100000141_ja.html |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Bare-metal cloud provides a dedicated set of physical machines (PMs) and enables both PMs and virtual machines (VMs) on the PMs to be scaled in/out dynamically. However, to increase efficiency of the resources and reduce violations of service level agreements (SLAs), resources need to be scaled quickly to adapt to workload changes, which results in high reconfiguration overhead, especially for the PMs. This paper proposes a hierarchical and frequency-aware auto-scaling based on Model Predictive Control, which enable us to achieve an optimal balance between resource efficiency and overhead. Moreover, when performing high-frequency resource control, the proposed technique improves the timing of reconfigurations for the PMs without increasing the number of them, while it increases the reallocations for the VMs to adjust the redundant capacity among the applications; this process improves the resource efficiency. Through trace-based numerical simulations, we demonstrate that when the control frequency is increased to 16 times per hour, the VM insufficiency causing SLA violations is reduced to a minimum of 0.1% per application without increasing the VM pool capacity. |
|
言語 |
en |
| 書誌情報 |
en : 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing
巻 18373906,
発行日 2018-12
|
| 出版者 |
|
|
出版者 |
IEEE |
|
言語 |
en |
| 出版者版へのリンク |
|
|
|
10.1109/UCC.2018.00010 |
|
|
https://doi.org/10.1109/UCC.2018.00010 |
| DOI |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
info:doi/10.1109/UCC.2018.00010 |
| 日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
007 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| 著者版フラグ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
UCC_2018_00010 (1.1 MB)
