Amulet: An Energy-Efficient, Multi-Application Wearable Platform
Amulet: An Energy-Efficient, Multi-Application Wearable Platform
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DOI：
10.1145/2994551.2994554
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发表时间：
2016-11
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通讯作者：
Josiah D. Hester;Travis Peters;Tianlong Yun;Ronald A. Peterson;Joseph Skinner;Bhargav Golla;Kevin Storer;Steven Hearndon;Kevin Freeman;Sarah E. Lord;R. Halter;D. Kotz;Jacob M. Sorber
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作者：
Josiah D. Hester;Travis Peters;Tianlong Yun;Ronald A. Peterson;Joseph Skinner;Bhargav Golla;Kevin Storer;Steven Hearndon;Kevin Freeman;Sarah E. Lord;R. Halter;D. Kotz;Jacob M. Sorber
可穿戴技术可实现一系列令人兴奋的健康，商业及以后的新应用。对于许多重要的应用，可穿戴设备必须在数周或几个月内测量电池寿命，而不是像大多数当前设备一样的小时和天数。我们对可穿戴平台的愿景旨在延长电池寿命，但具有灵活性和安全性，以支持多个应用程序。为了通过包括来自多个开发人员的应用程序的工作负载来实现较长的电池寿命，这些平台必须具有强大的机制，用于应用程序隔离和开发人员工具，以优化资源使用。我们介绍了用于约束可穿戴设备的护身符平台，其中包括超低功率硬件体系结构和配套软件框架，包括高效的事件驱动的编程模型，低功率操作系统以及用于编译时分析超低功能应用程序的开发人员工具。我们介绍了原型护身符硬件和软件的设计和评估，并展示该框架如何使开发人员能够编写节能应用程序。我们的原型具有持续数周甚至几个月的电池寿命，具体取决于应用程序，我们的交互式资源促进工具可以预测电池寿命的寿命的6-10％。
Wearable technology enables a range of exciting new applications in health, commerce, and beyond. For many important applications, wearables must have battery life measured in weeks or months, not hours and days as in most current devices. Our vision of wearable platforms aims for long battery life but with the flexibility and security to support multiple applications. To achieve long battery life with a workload comprising apps from multiple developers, these platforms must have robust mechanisms for app isolation and developer tools for optimizing resource usage. We introduce the Amulet Platform for constrained wearable devices, which includes an ultra-low-power hardware architecture and a companion software framework, including a highly efficient event-driven programming model, low-power operating system, and developer tools for profiling ultra-low-power applications at compile time. We present the design and evaluation of our prototype Amulet hardware and software, and show how the framework enables developers to write energy-efficient applications. Our prototype has battery lifetime lasting weeks or even months, depending on the application, and our interactive resource-profiling tool predicts battery lifetime within 6-10% of the measured lifetime.