Sapparchi: a scalable platform to execute applications on Computacional Smart City Environments

• Ano de defesa: 2022
• Autor(a) principal: Souza, Arthur Emanoel Cassio da Silva e
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio Grande do Norte; Brasil; UFRN; PROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO
• Palavras-chave em Português: Computação; Cloud computing; Fog computing; Edge computing; Osmotic computing; Serverless; Microservice; Scalability; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
• Link de acesso: https://repositorio.ufrn.br/handle/123456789/51943

In the Smart Cities environment, the development and execution of applications face important challenges related to 1) Big Data: a huge amount of processed and stored data; 2) Multi domains: the different domains involved (Economy, Traffic, Health, Safety, Agronomy, etc); and 3) Multiple processing methods such as Data Flow, Batch Processing, Services, and Microservices. Faced with these challenges, many platforms, middleware, and architectures have been proposed to run applications in the Smart City environment. Despite all the progress already achieved, the vast majority of solutions did not meet the functional requirements of Application Development, Application Deployment, and Application Runtime. Some studies show that in a universe of 97 platforms, only 20.6% met the functional requirements of Application Development, Application Deployment, and Application Runtime. And when these requirements are related to Scalability (non-functional), this number goes to 0.01%. Due to the lack of solutions that explore these requirements, all these concerns about Smart City Application Development are passed on to the various stakeholders. For example, while Service Providers are concerned with: How to measure, charge, deploy, scale and execute to efficiently use the Computing Infrastructure, for developers, it is important to know: How to implement, run, scale application components, where to store your data and where to deploy (Cloud, Fog or Edge). In this work, we seek to outline and answer some of these questions. For this, we propose to build an evolutionary model of organization and execution of applications in the context of Smart Cities, the Smart City Application Architectural Model (Sapparchi). Sapparchi is an integrated architecture model for Smart Cities applications that define levels of multiprocessing (at the moment, it can support Edge, Fog, and Cloud) allied to osmotic computing. Finally, we present the Sapparchi middleware platform for developing, deploying, and running applications in the smart city environment with a focus on self-scaling and multiprocessing computational levels (From Cloud to Edge).