首页> 外文会议>IEEE International Conference on Emerging Technologies and Factory Automation >On-board Energy Consumption Assessment for Symbolic Execution Models on Embedded Devices
【24h】

On-board Energy Consumption Assessment for Symbolic Execution Models on Embedded Devices

机译:嵌入式设备上的符号执行模型的机载能耗评估

获取原文

摘要

Internet of Things (IoT) applications operate in several domains while requiring seamless integration among heterogeneous objects. Regardless of the specific platform and context, IoT applications demand high energy efficiency. Adopting resource-constrained embedded devices for IoT applications means ensuring low power consumption, low maintenance costs and possibly longer battery life. Meeting these requirements is particularly arduous as programmers are not able to monitor the energy consumption of their own software during development or when applications are finally deployed. In this paper, we discuss on-board real-time energy evaluation of both hardware and software during the development phases and prospect the inclusion of energy-aware capabilities into symbolic execution models for resource-constrained devices, which have not been widely explored before. To provide baseline estimations, tests were carried out on different hardware and software configurations.
机译:物联网(IoT)应用程序在多个域中运行,同时要求异构对象之间的无缝集成。无论特定的平台和环境如何,物联网应用都要求高能效。在物联网应用中采用资源受限的嵌入式设备意味着确保低功耗,低维护成本以及可能更长的电池寿命。满足这些要求特别艰巨,因为程序员在开发过程中或最终部署应用程序时无法监视自己软件的能耗。在本文中,我们讨论了在开发阶段对硬件和软件的板载实时能源评估,并展望了将能源感知功能包含在资源受限设备的符号执行模型中的情况,这在以前尚未得到广泛探讨。为了提供基线估计,对不同的硬件和软件配置进行了测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号