.png){kind=icon}
返回
Hot-N-Cold model for energy aware cloud databases
.png){kind=icon}
OA
AI
DOI：10.1016/j.jpdc.2018.09.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A lot of cloud computing and cloud database techniques are adopted in industry and academia to face the explosion of the arrival of the big data era. Meanwhile, energy efficiency and energy saving become a major concern in data centers, which are in charge of large distributed systems and cloud databases. However, the phenomenon of energy wasting is related to resource provisioning. Hot-N-Cold model is introduced in this paper, which uses workload predictions and DVFS(Dynamic Voltage and Frequency Scaling) to cope with the resource provisioning problem within energy aware cloud database systems. In this model, the resource provisioning problem is considered as two bounded problems. A nonlinear programming algorithm and a multi-phase algorithm are proposed to solve them. The experimental results show that one of the proposed algorithms has great scalability which can be applied to a cloud database system deployed on 70 nodes. Using Hot-N-Cold model can save up to 21.5% of the energy of the running time. (C) 2018 Elsevier Inc. All rights reserved.
Keyword:
Energy efficiency
Hot-N-Cold
DVFS
Cloud database
Bounded problem
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
3.8K
被引数:
4.8K
机构
查看更多机构
引用论文
The Qualitative Science of Vygotskian Sociocultural Psychology and L2 Development维果茨基社会文化心理学与二语发展的质性科学
PREAI
分享收藏Study on energy-consumption regularities of cloud computing systems by a novel evaluation model基于新型评价模型的云计算系统能耗规律研究.png)
COMPUTING
COMPUTINGIF2.8
PREAI
分享收藏DSM5 : quels changements pour les troubles spécifiques du langage oral ?DSM5 : quels changememes倾诉麻烦？
PREAI
分享收藏 没有更多内容