Real-Time Distributed Data Aggregation in Edge Systems

• Main Author: Coelho, Nuno Gonçalo Sales Barreto Das Neves
• Publication Date: 2020
• Format: Master thesis
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10362/166795
• topic: Real-Time; Aggregation; Mobile Edge; Edge Computing; Mobile Computing; Stream Processing; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

We currently live in a world where everybody relies on smartphones and tablets to per- form their duties and daily actions. People now use these devices for just about anything, including surfing the web, reading e-mails, playing video games, or simply reading and writing documents. As a result of the mass adoption of mobile devices, the edges of the Internet have become resource-rich spaces with tons of devices that have their computa- tional power underutilized in many different ways. To expand the categories of novel applications currently being developed for the re- cently introduce hyper-local cloud-edge scenario, we propose a new category of applica- tions that require participating users to cooperate or collaborate among themselves, in order to achieve a common goal. To this end we propose Sage, a distributed middleware with a generic framework that is able to receive data from multiple sources, aggregate that data with defined algorithms and parameters, and send the aggregated result to the final application.