Task scheduling and security for edge devices in internet of things applications

• Ano de defesa: 2021
• Autor(a) principal: Tiburski, Ramão Tiago
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Instituição de defesa: Pontifícia Universidade Católica do Rio Grande do Sul; Escola Politécnica; Brasil; PUCRS; Programa de Pós-Graduação em Ciência da Computação
• Palavras-chave em Português: Internet of Things; Edge Computing; Security; Task Assignment and Scheduling; Edge Devices; Internet das Coisas; Computação de Borda; Segurança; Alocação e Escalonamento de Tarefas; Dispositivos de Borda; CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO
• Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/9764

The evolution of the Internet of Things (IoT) and the large amount of data that has been exchanged between devices and the Cloud have pushed the horizon to the Edge computing paradigm. It enables the moving of IoT computation from the high-powered central Cloud to the edge of the network. The benefits of Edge computing result from its proximity to data sources and end-users. It allows low and predictable latency for end-users and applications, secure and privacy-preserving services, low bandwidth cost, among others. However, edge computing also brings new challenges to edge devices. First, the decentralization of IoT applications to the edge made the devices more visible to attacks, especially resource-constrained edge devices that do not support complex security mechanisms due to their characteristics. Second, edge devices are usually part of low-latency and computeintensive applications. Thus, the data generated are only useful if they can be processed following the Quality of Service (QoS) requirements of the application. However, there are several IoT scenarios where the amount of data may be greater or the processing time may take longer than usual, like during peak times, which may result in loss of data deadlines. In this sense, this work presents two main contributions. First, the definition of a lightweight security architecture for resource-constrained edge devices. The security architecture is based on the integration of a lightweight hypervisor and trust mechanisms. Second, the definition of a task assignment and scheduling mechanism to reduce the number of tasks’ deadline violations during peak times in low-latency IoT applications.