论文标题
物联网应用程序中设备的随机基于访问的多源计算卸载
Random Access-based Multiuser Computation Offloading for Devices in IoT Applications
论文作者
论文摘要
在各种字体Internet（IoT）应用程序中，使用许多设备和传感器来收集数据集。随着设备变得越来越聪明，它们不仅可以收集数据集，而且可以在本地处理它们。但是，由于大多数设备在计算能力和能源方面都会受到限制，因此它们可以利用卸载，以便可以在移动边缘计算（MEC）服务器上执行其任务。在本文中，我们讨论了物联网应用程序中设备的计算卸载。特别是，我们考虑具有零星任务的用户或设备，在这些用户或设备中，在卸载设备之间优化资源分配和用于多端卸载的协调效率低下。因此，我们提出了一种两阶段的卸载方法，该方法对具有零星任务的设备友好，因为它采用多通道随机访问，用于卸载请求，而卸载请求低。使用稳定系统的方法考虑了两阶段卸载方法的稳定性。我们还从设备的角度将延迟中断概率分析为性能指数。
In various Internet-of-Things (IoT) applications, a number of devices and sensors are used to collect data sets. As devices become more capable and smarter, they can not only collect data sets, but also process them locally. However, since most devices would be limited in terms of computing power and energy, they can take advantage of offloading so that their tasks can be carried out at mobile edge computing (MEC) servers. In this paper, we discuss computation offloading for devices in IoT applications. In particular, we consider users or devices with sporadic tasks, where optimizing resource allocation between offloading devices and coordinating for multiuser offloading becomes inefficient. Thus, we propose a two-stage offloading approach that is friendly to devices with sporadic tasks as it employs multichannel random access for offloading requests with low signaling overhead. The stability of the two-stage offloading approach is considered with methods to stabilize the system. We also analyze the latency outage probability as a performance index from a device perspective.
