Fog computing is a paradigm that allows the provisioning of computational resources and services at the edge of the network, closer to the end devices and users, complementing cloud computing. The heterogeneity and large number of devices are challenges to obtaining optimized resource allocation in this environment. Over time, some surveys have been presented on resource management in fog computing. However, they now lack a broader and deeper view about this subject, considering the recent publications. This article presents a systematic literature review with a focus on resource allocation for fog computing, and in a more comprehensive way than the existing works. The survey is based on 108 selected publications from 2012 to 2022. The analysis has exposed their main techniques, metrics used, evaluation tools, virtualization methods, architecture, and domains where the proposed solutions were applied. The results show an updated and comprehensive view about resource allocation in fog computing. The main challenges and open research questions are discussed, and a new fog computing resource management cycle is proposed.

Fog computing is a distributed paradigm that provides computational resources in the users' vicinity. Fog orchestration is a set of functionalities that coordinate the dynamic infrastructure and manage the services to guarantee the Service Level Agreements. Monitoring is an orchestration functionality of prime importance. It is the basis for resource management actions, collecting status of resource and service and delivering updated data to the orchestrator. There are several cloud monitoring solutions and tools, but none of them comply with fog characteristics and challenges. Fog monitoring solutions are scarce, and they may not be prepared to compose an orchestration service. This paper updates the knowledge base about fog monitoring, assessing recent subjects in this context like observability, data standardization and instrumentation domains. We propose a novel taxonomy of fog monitoring solutions, supported by a systematic review of the literature. Fog monitoring proposals are analyzed and categorized by this new taxonomy, offering researchers a comprehensive overview. This work also highlights the main challenges and open research questions.

Fog Computing is a paradigm that allows the provisioning of computing resources and services at the edge of the network, closer to end devices and users, with lower latency, complementing Cloud Computing. The heterogeneity, the high geographic distribution and the large number of devices are challenges to perform optimized resource discovery in this environment. This article presents a proposal for the resource discovery process in fog computing. A Computação em Névoa é um paradigma que permite o provisionamento de recursos e serviços computacionais na borda da rede, mais próximos dos dispositivos finais e usuários, com menor latência, complementando a Computação em Nuvem. A heterogeneidade, a alta distribuição geográfica e o grande número de dispositivos são desafios para realizar a descoberta de recursos otimizada neste ambiente. Este artigo apresenta uma proposta para o processo de descoberta de recursos em computação em névoa.

A computação em névoa surgiu para atender à demanda por recursos computacionais mais próximos dos usuários finais, complementando assim a Computação em Nuvem. Por ser um paradigma emergente, existem várias questões em aberto, e desafios a serem superados; entre eles, o monitoramento, que objetiva coletar e manter atualizadas as informações do estado atual dos recursos computacionais e, ao mesmo tempo, dar suporte aos processos de gerenciamento da Computação em Névoa. Assim, este trabalho se propõe a apresentar testes que evidenciam a importância da Computação em Névoa na entrega de serviços que demandam baixa latência demonstrando, de maneira objetiva, a inadequação do uso da Computação em Nuvem neste contexto.