Journal on Communications ›› 2018, Vol. 39 ›› Issue (10): 97-117.doi: 10.11959/j.issn.1000-436x.2018213

• Papers • Previous Articles     Next Articles

Energy-efficient strategy for work node by DRAM voltage regulation in storm

Yonglin PU1(),Jiong YU1,2,Liang LU2,Chen BIAN2,Bin LIAO3,Ziyang LI1,4   

  1. 1 School of Software,Xinjiang University,Urumqi 830008,China
    2 School of Information Science and Engineering,Xinjiang University,Urumqi 830046,China
    3 School of Statistics and Information,Xinjiang University of Finance and Economics,Urumqi 830012,China
    4 Xinjiang Runwu Network Limited Company,Urumqi 830002,China
  • Revised:2017-12-25 Online:2018-10-01 Published:2018-11-23
  • Supported by:
    The National Natural Science Foundation of China(61262088);The National Natural Science Foundation of China(61462079);The National Natural Science Foundation of China(61562086);The National Natural Science Foundation of China(61363083);The National Natural Science Foundation of China(61562078);The Science and Technology Support Projects of Ministry of National Science and Technology(2015BAH02F01);The Research Innovation Project of Graduate Student in Xinjiang Uygur Autonomous Region(XJGRI2016028)

Abstract:

Focused on the problem that traditional energy-efficient strategies never consider about the real time of data processing and transmission,models of directed acyclic graph,parallelism of instance,resource allocation for task and critical path were set up based on the features of data stream processing and the structure of storm cluster.Meanwhile,the WNDVR-storm (energy-efficient strategy for work node by dram voltage regulation in storm) was proposed according to the analysis of critical path and system performance,which included two energy-efficient algorithms aiming at whether there were any work nodes executing on the non-critical path of a topology.Finally,the appropriate threshold values fit for the CPU utilization of work node and the volume of transmitted data were determined based on the data processing and transmission constraints to dynamically regulate the DRAM voltage of the system.The experimental result shows that the strategy can reduce energy consumption effectively.Moreover,the fewer constraints are,the higher energy efficiency is.

Key words: big data, stream computing, storm, critical path, DRAM voltage, energy consumption

CLC Number: 

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