Special issue on big data computing service and machine learning applications

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.