Correlation-Aware Traffic Consolidation for Power Optimization of Data Center Networks

被引:29
|
作者
Wang, Xiaodong [1 ]
Wang, Xiaorui [1 ]
Zheng, Kuangyu [1 ]
Yao, Yanjun [2 ]
Cao, Qing [2 ]
机构
[1] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN USA
基金
美国国家科学基金会;
关键词
Data center network; energy savings; correlation analysis; traffic consolidation; link rate adaptation; EFFICIENT;
D O I
10.1109/TPDS.2015.2421492
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Power optimization has become a key challenge in the design of large-scale enterprise data centers. Existing research efforts focus mainly on computer servers to lower their energy consumption, while only few studies have tried to address data center networks (DCNs), which can account for 10-20 percent of the total energy consumption of a data center. In this paper, we propose CARPO, a correlation-aware power optimization algorithm that dynamically consolidates traffic flows onto a small set of links and switches in a DCN and then shuts down unused network devices for energy savings. In sharp contrast to existing work, CARPO is designed based on a key observation from the analysis of real DCN traces that the bandwidth demands of different flows do not peak at exactly the same time. As a result, if the correlations among flows are considered in consolidation, more energy savings can be achieved. In addition, CARPO integrates traffic consolidation with link rate adaptation for maximized energy savings. We implement CARPO on a hardware testbed composed of 10 virtual switches configured with a production 48-port OpenFlow switch and 8 servers. Our empirical results with traces from Wikipedia and Yahoo! data centers demonstrate that CARPO can save up to 50 percent of network energy for a DCN, while having only negligible delay increases. CARPO also outperforms two state-of-the-art baselines by 19.6 and 95 percent on energy savings, respectively. Our simulation results with a large-scale DCN also show that CARPO can achieve more energy savings than the baselines for typical DCN topologies, such as fat tree and BCube.
引用
收藏
页码:992 / 1006
页数:15
相关论文
共 41 条
  • [1] Distributed Traffic Flow Consolidation for Power Efficiency of Large-Scale Data Center Network
    Zheng, Kuangyu
    Wang, Xiaorui
    Liu, Jia
    IEEE TRANSACTIONS ON CLOUD COMPUTING, 2022, 10 (02) : 996 - 1007
  • [2] ENERGY-BALANCING, LOCAL DATA CORRELATION-AWARE CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKS
    Lv, Zefeng
    Wang, Fan
    Hu, Xiaopeng
    Yang, Yan
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2018, 33 (05): : 488 - 494
  • [3] PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization
    Zheng, Kuangyu
    Zheng, Wenli
    Li, Li
    Wang, Xiaorui
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2017, 14 (03): : 661 - 675
  • [4] Greening data center networks with throughput-guaranteed power-aware routing
    Xu, Mingwei
    Shang, Yunfei
    Li, Dan
    Wang, Xin
    COMPUTER NETWORKS, 2013, 57 (15) : 2880 - 2899
  • [5] Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation-aware strategies
    Hamrouni, Tarek
    Mokadem, Riad
    Khelifa, Amel
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (22):
  • [6] Deployment of Asynchronous Traffic Shapers in Data Center Networks
    Liu, Xiaoxi
    Su, Wei
    Hong, Gaofeng
    EMERGING NETWORKING ARCHITECTURE AND TECHNOLOGIES, ICENAT 2022, 2023, 1696 : 417 - 429
  • [7] Energy-Aware Routing based on Power Profile of Devices in Data Center Networks using SDN
    Tran Manh Nam
    Nguyen Huu Thanh
    Ngo Quynh Thu
    Hoang Trung Hieu
    Covaci, Stefan
    2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2015,
  • [8] Scalability and Bandwidth Optimization for Data Center Networks
    Zhang, Teng
    Song, Jiaxing
    Liu, Weidong
    2012 IEEE 14TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2012 IEEE 9TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (HPCC-ICESS), 2012, : 935 - 940
  • [9] Coordinated Power Management in Data Center Networks
    Biswas, Joyanta
    Ray, Madhurima
    Sondur, Sanjeev
    Pal, Amitangshu
    Kant, Krishna
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2019, 22 : 1 - 12
  • [10] Joint Static and Dynamic Traffic Scheduling in Data Center Networks
    Cao, Zizhong
    Kodialam, Murali
    Lakshman, T. V.
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2016, 24 (03) : 1908 - 1918