Abstract
As the Internet of Things (IoT) is becoming more pervasive in our daily lives, the number of devices that connect to IoT edges and data generated at the edges are rapidly increasing. On account of the bottlenecks in servers, due to the increase in data, as well as security and privacy issues, the IoT paradigm has shifted from cloud computing to edge computing. Pursuant to this trend, embedded devices require complex computation capabilities. However, due to various constraints, edge devices cannot equip enough hardware to process data, so the flexibility of operation is reduced, because of the limitations of fixed hardware functions, relative to cloud computing. Recently, as application fields and collected data types diversify, and, in particular, applications requiring complex computation such as artificial intelligence (AI) and signal processing are applied to edges, flexible processing and computation capabilities based on hardware acceleration are required. In this paper, to meet these needs, we propose a new IoT platform, called a metamorphic IoT (mIoT) platform, which can various hardware acceleration with limited hardware platform resources, through on-demand transmission and reconfiguration of required hardware at edges instead of via transference of sensing data to a server. The proposed platform reconfigures the edge’s hardware with minimal overhead, based on a probabilistic value, known as callability. The mIoT consists of reconfigurable edge devices based on RISC-V architecture and a server that manages the reconfiguration of edge devices based on callability. Through various experimental results, we confirmed that the callability-based mIoT platform can provide the hardware required by the edge device in real time. In addition, by performing various functions with small hardware, power consumption, which is a major constraint of IoT, can be reduced.
Highlights
Internet of Things (IoT) devices are connected electronic devices, vehicles, buildings, and various social infrastructures that communicate with each other and process data in real time
The edge device is a co-design architecture that consists of an ASIC that acts as a processor, an FPGA that acts as an accelerator, and an external flash memory that stores embedded applications
The accelerator of the edge has a fixed function and cannot be changed when it is designed as an ASIC; when it is designed as an FPGA, it is difficult to guarantee real-time performance, due to the overhead involved with reconfiguring the hardware
Summary
Internet of Things (IoT) devices are connected electronic devices, vehicles, buildings, and various social infrastructures that communicate with each other and process data in real time. IoT systems operating in poor environments and small-scale IoT systems cannot use local computers, so certain edge platforms require systems that can process data on their own, such as MCU (Micro Controller Unit)-based platforms. These MCU-based devices use hardware accelerators, which quickly perform complex tasks but have limited work to do, to compensate for the slow processing speed. MIoT can rapidly process various data by reconstructing, in real time, diverse hardware functions, required in different environments on edge devices with limited hardware size
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