Data Management Over Cloud Edge Continuum in the Context of AC³

The proliferation of Internet of Things (IoT) tech-nologies and the exponential growth of data have necessitated advanced data management solutions that can operate across distributed architectures. The AC<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> project introduces a Data Management Platform as a Service (DMPaaS), designed to address these challenges by providing a robust, scalable, and flexible platform bridging cloud and edge computing environments. This paper explores the core components of the AC<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> DMPaaS, empha-sizing its dynamic data catalog, efficient data management processes, and the seamless integration of data connectors that facil-itate data movement across the cloud-edge continuum. Through advanced metadata management, real-time data processing, and a hybrid cloud-edge data framework, the AC<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> DMPaaS supports complex data operations and analytics, ensuring data integrity and consistency. This comprehensive overview establishes the foundational elements of the AC<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> project's DMPaaS, showcasing its significant advantages for enterprises leveraging IoT data across diverse computing landscapes.