ChamelIoT: a tightly- and loosely-coupled hardware-assisted OS framework for low-end IoT devices

• Autor(a) principal: Silva, Miguel
• Data de Publicação: 2023
• Outros Autores: Gomes, Tiago, Ekpanyapong, Mongkol, Tavares, Adriano, Pinto, Sandro
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://hdl.handle.net/1822/87671
• topic: Internet of things; Operating systems; Hardware accelerator; Agnosticism

The evergrowing Internet of Things (IoT) ecosystem continues to impose new requirements and constraints on every device. At the edge, low-end devices are getting pressured by increasing workloads and stricter timing deadlines while simultaneously are desired to minimize their power consumption, form factor, and memory footprint. Field-Programmable Gate Arrays (FPGAs) emerge as a possible solution for the increasing demands of the IoT. Reconfgurable IoT platforms enable the ofloading of software tasks to hardware, enhancing their performance and determin ism. This paper presents ChamelIoT, an agnostic hardware operating systems (OSes) framework for reconfgurable IoT devices. The framework provides hardware accel eration for kernel services of diferent IoT OSes by leveraging the RISC-V opensource instruction set architecture (ISA). The ChamelIoT hardware accelerator can be deployed in a tightly- or loosely-coupled approach and implements the following kernel services: thread management, scheduling, synchronization mechanisms, and inter-process communication (IPC). ChamelIoT allows developers to run unmodifed applications of three well-established OSes, RIOT, Zephyr, and FreeRTOS. The experiments conducted on both coupling approaches consisted of microbench marks to measure the API latency, the Thread Metric benchmark suite to evaluated the system performance, and tests to the FPGA resource consumption. The results show that the latency can be reduced up to 92.65% and 89.14% for the tightly- and loosely-coupled approaches, respectively, the jitter removed, and the execution per formance increased by 199.49% and 184.85% for both approaches.