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Open Access Article
1 - Description of the Distributed Architecture for Processing Streaming Social Network Data
Ali Rezaee binazir ganji Sahar Adabi ali movaghariIntroduction: To analyze big data, especially streaming social network data, we require real-time and distributed systems to process streaming data with high speed and efficiency. In this paper, a distributed architecture for collecting, ingesting, processing, storing a MoreIntroduction: To analyze big data, especially streaming social network data, we require real-time and distributed systems to process streaming data with high speed and efficiency. In this paper, a distributed architecture for collecting, ingesting, processing, storing and visualizing streaming social network data based on Kappa architecture is introduced. Also, the proposed architecture includes a component for detecting anomalous data. Method: We utilize the 4+1 architectural view models to visually illustrate the various architectural layers, components, and their interactions. Results: The proposed architecture serves as a distributed solution designed for processing streaming social network data. We utilized the 4+1 architectural view model and UML diagrams to outline proposed architecture. This documentation clearly outlines the data processing pipeline and specifies both functional and non-functional system requirements. Discussion: The proposed architecture is designed to process streaming social network data, leveraging distributed and parallel solutions for improved efficiency. Anomaly detection is a pivotal component integrated within the architecture to identify outlier data, enhancing processing precision and quality. By utilizing the 4+1 architectural view model and UML diagrams, the proposed architecture is effectively outlined, ensuring a well-defined structure that aids in organizing information. This structured approach provides stakeholders with tailored architectural views that cater to their individual needs and priorities. Notable functional requirements include real-time processing, while non-functional requirements encompass scalability, interoperability, portability, usability, and efficiency. Manuscript profile
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