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<p>The evolution from the Edge-Cloud Continuum to the Cognitive Computing Continuum (CCC) has introduced new challenges which necessitate advanced frameworks that integrate cognitive capabilities to enhance interoperability, adaptability, and resource efficiency. Considering insights from ongoing research and initiatives on the cognitive cloud, we identify the core concepts essential for transitioning to the CCC, including cognitive orchestration, distributed AI, and sovereign data management. We then introduce ENACT, a novel framework designed to embrace these concepts aiming to provide cognitive, highly adaptive orchestration to support modern hyper-distributed and data-intensive applications. Furthermore, ENACT employs bespoke mechanisms to enable dynamic continuum modelling and visibility as well as to facilitate application-level automation and adaptability. This paper presents the motivation behind the ENACT approach, reviews the state-of-the-art across its fundamental technological concepts and highlights its key innovations. Overall, it contributes to the formalization of the CCC architectural principles and, ultimately, to the realization of CCC.</p>

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Cognitive Computing Continuum: State-of-the-Art Review and ENACT Vision & Approach

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月12日

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  • Ioanna Angeliki Kapetanidou,
  • Alexandros Nizamis,
  • Efstathios Karanastasis,
  • Gabriel-Mihail Danciu,
  • Clara Isabel Valero López,
  • Thanasis Kotsiopoulos,
  • Juan Gascón,
  • Jaime Flor,
  • Ross Campbell,
  • Athanasios Liatifis,
  • Nadia Masood Khan,
  • Dejan Drajic,
  • Stefan Jarcau,
  • Vlad Mocanu,
  • Mihnea Lopataru,
  • Haya Al kassir,
  • Dimitrios Pliatsios,
  • Efthymios Chondrogiannis,
  • Antonios Litke,
  • Srdjan Krco,
  • Usman Wajid,
  • Septimiu Nechifor,
  • Panagiotis Sarigiannidis,
  • Panagiotis Trakadas,
  • Konstantinos Votis

摘要

The evolution from the Edge-Cloud Continuum to the Cognitive Computing Continuum (CCC) has introduced new challenges which necessitate advanced frameworks that integrate cognitive capabilities to enhance interoperability, adaptability, and resource efficiency. Considering insights from ongoing research and initiatives on the cognitive cloud, we identify the core concepts essential for transitioning to the CCC, including cognitive orchestration, distributed AI, and sovereign data management. We then introduce ENACT, a novel framework designed to embrace these concepts aiming to provide cognitive, highly adaptive orchestration to support modern hyper-distributed and data-intensive applications. Furthermore, ENACT employs bespoke mechanisms to enable dynamic continuum modelling and visibility as well as to facilitate application-level automation and adaptability. This paper presents the motivation behind the ENACT approach, reviews the state-of-the-art across its fundamental technological concepts and highlights its key innovations. Overall, it contributes to the formalization of the CCC architectural principles and, ultimately, to the realization of CCC.