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A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting

  • Chen Pan
  • , Mimi Xie
  • , Yongpan Liu
  • , Yanzhi Wang
  • , Chun Jason Xue
  • , Yuangang Wang
  • , Yiran Chen
  • , Jingtong Hu

Research output: Conference PapersRGC 33 - Other conference paperpeer-review

Abstract

Energy harvesting techniques become increasingly popular as power supplies for embedded systems. However, the harvested energy is intrinsically unstable. Thus, the program execution may be interrupted frequently. Although the development of non-volatile processors (NVP) can save and restore execution states, both hardware and software challenges exist for energy harvesting powered embedded
systems. On the hardware side, existing power detector only signals the “poor” quality of the harvested power based on a preset threshold voltage. The inappropriate setting of this threshold will make the NVP based embedded system suffer from either unnecessary checkpointing or checkpointing failures. On the software side, not all tasks can be checkpointed. Once the power is off, these tasks will have to restart from the beginning. In this paper, a task scheduler
is proposed to maximize task progress by prioritizing tasks which cannot be checkpointed when power is weak so that they can finish before the power outage. To assist task scheduling, three additional modules including voltage monitor, checkpointing handler, and routine handler, are proposed. Experimental results show increased overall task progress and reduced energy consumption.

Conference

ConferenceLCTES 2017 - The 18th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
Period21/06/1722/06/17
Internet address

Research Keywords

  • Energy harvesting
  • Non-volatile memory
  • Non-volatile processor
  • Progress maximization
  • Task scheduling

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