Architectural Trends in Collaborative Computing: Approaches in the Internet of Everything Era

Débora Souza, Gabriele Iwashima, Viviane Cunha Farias da Costa, Carlos Eduardo Barbosa (), Jano Moreira de Souza and Geraldo Zimbrão
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Débora Souza: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
Gabriele Iwashima: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
Viviane Cunha Farias da Costa: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
Carlos Eduardo Barbosa: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
Jano Moreira de Souza: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
Geraldo Zimbrão: Systems Engineering and Computing Program, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil

Future Internet, 2024, vol. 16, issue 12, 1-28

Abstract: The majority of the global population now resides in cities, and this trend continues to grow. In this context, the Internet of Things (IoT) is crucial in transforming existing urban areas into Smart Cities. However, IoT architectures mainly focus on machine-to-machine interactions, leaving human involvement aside. The Internet of Everything (IoE) includes human-to-human and human–machine collaboration, but the specifics of these interactions are still under-explored. As urban populations grow and IoT integrates into city infrastructure, efficient, collaborative architectures become crucial. In this work, we use the Rapid Review methodology to analyze collaboration in four prevalent computing architectures in the IoE paradigm, namely Edge Computing, Cloud Computing, Blockchain/Web Services, and Fog Computing. To analyze the collaboration, we use the 3C collaboration model, comprising communication, cooperation, and coordination. Our findings highlight the importance of Edge and Cloud Computing for enhancing collaborative coordination, focusing on efficiency and network optimization. Edge Computing supports real-time, low-latency processing at data sources, while Cloud Computing offers scalable resources for diverse workloads, optimizing coordination and productivity. Effective resource allocation and network configuration in these architectures are essential for cohesive IoT ecosystems. Therefore, this work offers a comparative analysis of four computing architectures, clarifying their capabilities and limitations. Smart Cities are a major beneficiary of these insights. This knowledge can help researchers and practitioners choose the best architecture for IoT and IoE environments. Additionally, by applying the 3C collaboration model, the article provides a framework for improving collaboration in IoT and IoE systems.

Keywords: collaborative computing; computational architecture; Internet of Everything (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
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