@PHDTHESIS{ 2016:481095899,
 	title = {A lightweight virtualization layer with hardware-assistance for embedded systems},
 	year = {2016},
 	url = "http://tede2.pucrs.br/tede2/handle/tede/7032",
 	abstract = "The current processing power of modern embedded systems enable the adoption of virtualization techniques. In addition to the direct relationship with cost reduction and better resource utilization, virtualization permits the integration of real-time operating systems (RTOS) and general-purpose operating systems (GPOS) on the same hardware system. The resulting system may inherit deterministic time response from the RTOS and a large software base from the GPOS. However, the hypervisor must be carefully designed. Due to the complexity of developing a virtualization layer designed specially for embedded systems from scratch, many authors have proposed modifications of the widely used server virtualization software to better adapt it to the particular needs of embedded system. However, footprint and temporal requisites of some embedded devices require different approaches than those used in server farms. Also, currently virtualization is being adapted for the field of the Internet of Things (IoT), which has increased the challenge for more efficient hypervisors. Thus, a generation of hypervisors focused on the needs of embedded systems have emerged. This dissertation investigated how embedded virtualization can be improved, starting from the current stage of its development. As a result, it is proposed a virtualization model to aggregate different aspects required by embedded systems. The model combines full and para-virtualization in a hybrid virtualization layer. In addition, it explores the newer features of embedded processors that have recently adopted hardware-assisted virtualization. A hypervisor implementation based on this model is presented and evaluated. The results show that the implemented hypervisor has memory requirements compatible with devices designed for IoT. Moreover, general-purpose operating systems and real-time tasks can be combined while keeping them temporally isolated. Finally, the overall virtualization overhead is for most part lower than in other embedded hypervisors.",
 	publisher = {Pontifícia Universidade Católica do Rio Grande do Sul},
 	scholl = {Programa de Pós-Graduação em Ciência da Computação},
 	note = {Faculdade de Informática}
}