I2oT: Inexactness in IoT

Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing Pub Date : 2016-07-25 DOI:10.1145/2962564.2962567

A. Banerjee, H. Paul, A. Mukherjee

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Abstract

Recent research on inexact computing shows promising results for improved energy utilization for resource hungry applications across different layers of the execution stack. The general philosophy of inexact computing is to trade-off correctness within acceptable limits with the premise of improved energy utilization. In this paper, we explore this philosophy in the context of a heterogeneous Internet-of-Things (IoT) architecture for application execution. We consider an application workflow, comprising of a set of methods with their possible inexact lightweight variants, a deadline for completion, and a multi-tiered IoT compute architecture (e.g. mobile device, gateway, cloud, etc.). Our methodology produces a time-optimized execution solution that assigns each method, with an appropriate variant (the exact one or any of its inexact realizations), to an appropriate computing layer such that the deadline is met with quality as best as possible. We present experimental results to demonstrate the efficacy of our proposal on two real-life case studies.

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I2oT:物联网中的不精确性

最近对不精确计算的研究显示，对于跨执行堆栈的不同层的资源密集型应用程序，在提高能源利用率方面取得了有希望的结果。不精确计算的一般原理是在提高能量利用率的前提下，在可接受的范围内权衡正确性。在本文中，我们在应用程序执行的异构物联网(IoT)架构的背景下探讨了这一理念。我们考虑一个应用程序工作流，包括一组方法及其可能的不精确轻量级变体，完成的最后期限和多层物联网计算架构(例如移动设备，网关，云等)。我们的方法产生了一个时间优化的执行解决方案，该解决方案将每个方法分配给适当的计算层，并带有适当的变体(精确的一个或其任何不精确的实现)，以便以尽可能高的质量满足截止日期。我们提出了实验结果来证明我们的建议在两个现实案例研究中的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing

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