Special issue on big data computing service and machine learning applications
Publication Date
10-1-2025
Document Type
Editorial
Publication Title
Future Generation Computer Systems
Volume
171
DOI
10.1016/j.future.2025.107836
Abstract
This Special Issue addresses the evolving landscape of big data generated by sensors, devices, and services. The shift from centralized cloud infrastructures to distributed systems that involve cloud, edge, and Internet of Things (IoT) devices requires innovative approaches to managing and analyzing big data. The key challenges include privacy, security, energy efficiency, data quality, and trust. This Special Issue invited researchers to submit innovative solutions covering topics such as: Big Data Analytics and Machine Learning; Integrated, Heterogeneous, and Distributed Infrastructures for Big Data Management; Big Data Platforms and Technologies; Real-time Big Data Services and Applications; Big Data Security and Privacy Preservation; Big Data Quality and Trust; Trustworthy data sharing; Sustainability and Energy-Efficiency of Big Data; Storage and Computation; Big Data and Analytics for Healthcare; Big Data Applications and Experiences. This initiative expands on discussions from the IEEE Big Data Service (BDS) 2023 conference held in Athens Greece, reaching a broader audience of researchers.
Keywords
Big data applications, Big Data Platforms and Technologies, Big Data Service, Machine learning
Department
Computer Engineering; Computer Science
Recommended Citation
Katerina Potika, Magdalini Eirinaki, Monica Vitali, Anna Bernasconi, and Hiroyuki Fujioka. "Special issue on big data computing service and machine learning applications" Future Generation Computer Systems (2025). https://doi.org/10.1016/j.future.2025.107836
