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

Abstract 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.

Authors

Institutions

Publication Details

Journal
Journal of Grid Computing
Published
2025-08-12
DOI
https://doi.org/10.1007/s10723-025-09810-9
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Dimitrios Pliatsios, Haya Al Kassir, Jordi Gascón, Alexandros Nizamis et al.
3 citations
Journal of Grid Computing
IoT and Edge/Fog Computing
4.46
article

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

Dimitrios Pliatsios, Haya Al Kassir, Jordi Gascón, Alexandros Nizamis, Usman Wajid, Srdjan Krco, Panagiotis Trakadas, Ioanna Angeliki Kapetanidou, Dejan Drajić, Thanasis Kotsiopoulos, Athanasios Liatifis, Septimiu Nechifor, Panagiotis Sarigiannidis, Αντώνιος Λίτκε, Nadia Masood Khan, V. Mocanu, Ross Campbell, Konstantinos Votis, Efstathios Karanastasis, Efthymios Chondrogiannis, Clara Isabel Valero López, Stefan Jarcau, Mihnea Lopataru, Gabriel-Mihail Danciu, Jaime Flor
article en
3 citations

Abstract

Abstract 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.

Journal of Grid ComputingVol. 23(3)
National Technical University of Athens (GR), University of Belgrade (RS), Information Technologies Institute (GR), Siemens (Romania) (RO), DunavNET (Serbia) (RS), Centre for Research and Technology Hellas (GR), Institute of Communication and Computer Systems (GR), Universitat Politècnica de València (ES), University of Western Macedonia (GR)
Hellenic Academic Libraries Link, European Commission, HORIZON EUROPE Framework Programme
Decent work and economic growth
Openalex Percentile: Top 5%
IoT and Edge/Fog Computing
4.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.