ECOS: An Energy-Efficient Cluster Storage System

被引:5
作者
Ruan, Xiaojun [1 ]
Yin, Shu [1 ]
Manzanares, Adam [1 ]
Xie, Jiong [1 ]
Ding, Zhiyang [1 ]
Majors, James [1 ]
Qin, Xiao [1 ]
机构
[1] Auburn Univ, Auburn, AL 36849 USA
来源
2009 IEEE 28TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCC 2009) | 2009年
关键词
MANAGEMENT;
D O I
10.1109/PCCC.2009.5403814
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cluster storage systems are essential building blocks for many high-end computing infrastructures. Although energy conservation techniques have been intensively studied in the context of clusters and disk arrays, improving energy efficiency of cluster storage systems remains an open issue. To address this problem, we describe in this paper an approach to implementing an energy-efficient cluster storage system or ECOS for short. ECOS relies on the architecture of cluster storage systems in which each I/O node manages multiple disks - one buffer disk and several data disks. Given an I/O node, the key idea behind ECOS is to redirect disk requests from data disks to the buffer disk. To balance I/O load among I/O nodes, ECOS might redirect requests from one I/O node into the others. Redirecting requests is a driving force of energy saving, and the reason is two-fold. First, ECOS makes an effort to keep buffer disks active while placing data disks into standby in a long time period to conserve energy. Second, ECOS reduces the number of disk spin downs/ups in I/O nodes. The idea of ECOS was implemented in a Linux cluster, where each I/O node contains one buffer disk and two data disks. Experimental results show that ECOS improves the energy efficiency of traditional cluster storage systems where buffer disks are not employed. Adding one extra buffer disk into each I/O node seemingly has negative impact on energy saving. Interestingly, our results indicate that ECOS equipped with extra buffer disks is more energy efficient than the same cluster storage system without the buffer disks. The implication of the experiments is that using existing data disks in I/O nodes to perform as buffer disks can achieve even higher energy efficiency.
引用
收藏
页码:79 / 86
页数:8
相关论文
共 50 条
  • [21] EAFR: An Energy-Efficient Adaptive File Replication System in Data-Intensive Clusters
    Lin, Yuhua
    Shen, Haiying
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2017, 28 (04) : 1017 - 1030
  • [22] Deduplication-Based Energy Efficient Storage System in Cloud Environment
    Li, He
    Dong, Mianxiong
    Liao, Xiaofei
    Jin, Hai
    COMPUTER JOURNAL, 2015, 58 (06) : 1373 - 1383
  • [23] Energy-Efficient Train Control Considering Energy Storage Devices and Traction Power Network Using a Model Predictive Control Framework
    Lu, Shaofeng
    Zhang, Bolun
    Wang, Junjie
    Lai, Yixiong
    Wu, Kai
    Wu, Chaoxian
    Xue, Fei
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (04): : 10451 - 10467
  • [24] Combining a Multi-Hop Distributed Energy-Efficient Cluster Algorithm with Fuzzy Logic Control for Wireless Sensor Networks
    Chen, Young-Long
    Chang, Li-Hsien
    Huang, Tuo-Jing
    SENSORS AND MATERIALS, 2016, 28 (06) : 739 - 743
  • [25] Real-Time, Energy-Efficient Traction Allocation Strategy for the Compound Electric Propulsion System
    Li, Kang
    Chou, Fang-Chieh
    Yen, Jia-Yush
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2017, 22 (03) : 1371 - 1380
  • [26] Energy-Efficient Signalling in QoS Constrained Heterogeneous Networks
    Nguyen, Long D.
    Hoang Duong Tuan
    Duong, Trung Q.
    IEEE ACCESS, 2016, 4 : 7958 - 7966
  • [27] Energy-efficient operational training in a ship bridge simulator
    Jensen, Signe
    Lutzen, Marie
    Mikkelsen, Lars Lindegaard
    Rasmussen, Hanna Barbara
    Pedersen, Poul Vibsig
    Schamby, Per
    JOURNAL OF CLEANER PRODUCTION, 2018, 171 : 175 - 183
  • [28] Energy-Efficient Hybrid Framework for Green Cloud Computing
    Alarifi, Abdulaziz
    Dubey, Kalka
    Amoon, Mohammed
    Altameem, Torki
    Abd El-Samie, Fathi E.
    Altameem, Ayman
    Sharma, S. C.
    Nasr, Aida A.
    IEEE ACCESS, 2020, 8 (08): : 115356 - 115369
  • [29] Techniques for Energy-Efficient Power Budgeting in Data Centers
    Zhan, Xin
    Reda, Sherief
    2013 50TH ACM / EDAC / IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2013,
  • [30] Energy-Efficient Online Service Migration in Edge Networks
    Li, Jiangwei
    Zhao, Deng
    Shi, Zhensheng
    Meng, Lin
    Gaaloul, Walid
    Zhou, Zhangbing
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (18): : 29689 - 29708