SIMULATION OF ENERGY-EFFICIENT DEMAND RESPONSE FOR HIGH PERFORMANCE COMPUTING SYSTEMS

被引:0
|
作者
Ahmed, Kishwar [1 ]
Liu, Jason [2 ]
机构
[1] Univ South Carolina, Dept Comp Sci, 1 Univ Blvd, Bluffton, SC 29909 USA
[2] Florida Int Univ, Sch Comp & Informat Sci, 11200 SW 8th St, Miami, FL 33199 USA
基金
美国国家科学基金会;
关键词
MECHANISM; DESIGN;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Energy consumption is a critical issue for high-performance computing (HPC) systems. Demand response is a program offered by power service providers to reduce energy consumption. In this paper, we present the simulation of an energy-efficient economic demand-response model based on contract theory. Simulation is developed to examine the effectiveness of the demand-response model in a variety of real-world scenarios. Results from simulation show that the model can achieve energy efficiency through the rewarding mechanism of the contract-based design. In particular, the HPC users can be properly compensated to ensure their willing participation in energy reduction.
引用
收藏
页码:2560 / 2571
页数:12
相关论文
共 50 条
  • [1] An Energy Efficient Demand-Response Model for High Performance Computing Systems
    Ahmed, Kishwar
    Liu, Jason
    Wu, Xingfu
    2017 IEEE 25TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS), 2017, : 175 - 186
  • [2] Energy-efficient high-performance parallel and distributed computing
    Khan, Samee Ullah
    Bouvry, Pascal
    Engel, Thomas
    JOURNAL OF SUPERCOMPUTING, 2012, 60 (02): : 163 - 164
  • [3] High-Performance Energy-Efficient Multicore Embedded Computing
    Munir, Arslan
    Ranka, Sanjay
    Gordon-Ross, Ann
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2012, 23 (04) : 684 - 700
  • [4] Energy-efficient high-performance parallel and distributed computing
    Samee Ullah Khan
    Pascal Bouvry
    Thomas Engel
    The Journal of Supercomputing, 2012, 60 : 163 - 164
  • [5] Energy-Efficient Algebra Kernels in FPGA for High Performance Computing
    Favaro, Federico
    Dufrechou, Ernesto
    Ezzatti, Pablo
    Oliver, Juan P.
    JOURNAL OF COMPUTER SCIENCE & TECHNOLOGY, 2021, 21 (02): : 80 - 92
  • [6] Energy-Efficient Photonics in Future High-Connectivity Computing Systems
    Krishnamoorthy, A. V.
    Schwetman, H.
    Zheng, X.
    Ho, R.
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2015, 33 (04) : 889 - 900
  • [7] Energy-Efficient High-Performance Photonic Backplane Network for Rack-Scale Computing Systems
    Feng, Jun
    Chen, Shixi
    Zhang, Jiaxu
    Fu, Yuxiang
    Xu, Jiang
    2022 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI 2022), 2022, : 122 - 127
  • [8] Energy-Efficient and Bandwidth-Reconfigurable Photonic Networks for High-Performance Computing (HPC) Systems
    Kodi, Avinash Karanth
    Louri, Ahmed
    IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 2011, 17 (02) : 384 - 395
  • [9] Towards Fault-Tolerant Energy-Efficient High Performance Computing in the Cloud
    Keville, Kurt L.
    Garg, Rohan
    Yates, David J.
    Arya, Kapil
    Cooperman, Gene
    2012 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER), 2012, : 622 - 626
  • [10] A Novel Energy Efficient Scheduling for High Performance Computing Systems
    Biswas, Tarun
    Kuila, Pratyay
    Ray, Anjan Kumar
    2018 9TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2018,