This Special Issue addresses the evolving landscape of bigdata generated by sensors, devices, and services. The shift from centralized cloud infrastructures to distributed systems that involve cloud, edge, and Intern...
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This Special Issue addresses the evolving landscape of bigdata 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 bigdata. 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: bigdata Analytics and Machine Learning;Integrated, Heterogeneous, and Distributed Infrastructures for bigdata Management;big data platforms and technologies;Real-time bigdata Services and Applications;bigdata Security and Privacy Preservation;bigdata Quality and Trust;Trustworthy data sharing;Sustainability and Energy-Efficiency of bigdata;Storage and Computation;bigdata and Analytics for Healthcare;bigdata Applications and Experiences. This initiative expands on discussions from the IEEE bigdata Service (BDS) 2023 conference held in Athens Greece, reaching a broader audience of researchers.
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