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A Cognitive Serverless Framework for the Cloud-Edge Continuum

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Cognit FaaS Model - Software Source - a (opens in new window)

Software source code of the components developed in tasks T3.1, T3.2, T3.3, and T3.4 is delivered and made public at the end of each cycle in a single deliverable.

Cognit Serverless Platform - Software Source - a (opens in new window)

Software source code of the components developed in tasks T4.1, T4.2, T4.3, and T4.4 is delivered and made public at the end of each cycle in a single deliverable.

Cognit Serverless Platform - Software Source - b (opens in new window)

Software source code of the components developed in tasks T4.1, T4.2, T4.3, and T4.4 is delivered and made public at the end of each cycle in a single deliverable.

Cognit FaaS Model - Software Source - b (opens in new window)

Software source code of the components developed in tasks T3.1, T3.2, T3.3, and T3.4 is delivered and made public at the end of each cycle in a single deliverable.

Cognit Framework - Software Source - a (opens in new window)

The technology developed in WP3 and WP4 will be integrated and distributed in two intermediary versions, and one final version at the end of the Project. The software release will include guides for users and integrators.

Cognit FaaS Model - Scientific Report - a (opens in new window)

A single Report delivered at the end of each cycle that summarizes the research and development design performed in tasks T3.1, T3.2, T3.3, and T3.4.

Cognit Framework - Architecture - c (opens in new window)

D2.[1,2,3,4,5,6]. Cognit Framework Architecture - [a,b,c,d,e,f] (R) (M3, M9, M15, M21, M27, M33)The main version of this deliverable will be released at the end of start phase (M3), with the analysis of use case requirements (T2.1), sovereignty, sustainability, interoperability and security requirements (T2.2), programming model (T2.3), framework architecture (T2.4), and verification (T2.5). The Project will generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates if any in use cases (T2.1), sovereignty, sustainability, interoperability, security requirements (T2.2), and Verification (T2.5).

Use Cases - Scientific Report - c (opens in new window)

The first version of this deliverable will be released at the end of start phase (M3) with the use case requirements. The Project will then generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates (if any) in requirements, a description of the open source integration and certification process, and a description of the research, development, and validation done in the cycle.

Communication and Dissemination Plan and Report - b (opens in new window)

This document provides information about the Project communication and dissemination plan including the specification of the target dissemination groups, the publication policy, event planning, and marketing. It also reports the dissemination activities that will take place throughout the Project. It is an ongoing deliverable with subsequent, updated versions to be produced in M18 and M36.

Cognit Serverless Platform - Scientific Report - b (opens in new window)

A single Report delivered at the end of each cycle that summarizes the research and development design performed in tasks T4.1, T4.2, T4.3, and T4.4.

Use Cases - Scientific Report - b (opens in new window)

The first version of this deliverable will be released at the end of start phase (M3) with the use case requirements. The Project will then generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates (if any) in requirements, a description of the open source integration and certification process, and a description of the research, development, and validation done in the cycle.

Cognit FaaS Model - Scientific Report - b (opens in new window)

A single Report delivered at the end of each cycle that summarizes the research and development design performed in tasks T3.1, T3.2, T3.3, and T3.4.

Data and Research Outputs Management Plan - b (opens in new window)

The Project will develop a detailed data management plan (DMP) for making the data/research outputs findable, accessible, interoperable, and reusable (FAIR) as a deliverable in month M6, and will be revised towards the end of the Project’s lifetime in months M18 and M36.

Communication and Dissemination Plan and Report - a (opens in new window)

This document provides information about the Project communication and dissemination plan including the specification of the target dissemination groups, the publication policy, event planning, and marketing. It also reports the dissemination activities that will take place throughout the Project. It is an ongoing deliverable with subsequent, updated versions to be produced in M18 and M36.

Data and Research Outputs Management Plan - a (opens in new window)

The Project will develop a detailed data management plan (DMP) for making the data/research outputs findable, accessible, interoperable, and reusable (FAIR) as a deliverable in month M6, and will be revised towards the end of the Project’s lifetime in months M18 and M36.

Use Cases - Scientific Report - a (opens in new window)

The first version of this deliverable will be released at the end of start phase (M3) with the use case requirements. The Project will then generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates (if any) in requirements, a description of the open source integration and certification process, and a description of the research, development, and validation done in the cycle.

Cognit Framework - Architecture - b (opens in new window)

D2.[1,2,3,4,5,6]. Cognit Framework Architecture - [a,b,c,d,e,f] (R) (M3, M9, M15, M21, M27, M33)The main version of this deliverable will be released at the end of start phase (M3), with the analysis of use case requirements (T2.1), sovereignty, sustainability, interoperability and security requirements (T2.2), programming model (T2.3), framework architecture (T2.4), and verification (T2.5). The Project will generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates if any in use cases (T2.1), sovereignty, sustainability, interoperability, security requirements (T2.2), and Verification (T2.5).

Cognit Framework - Architecture - a (opens in new window)

D2.[1,2,3,4,5,6]. Cognit Framework Architecture - [a,b,c,d,e,f] (R) (M3, M9, M15, M21, M27, M33)The main version of this deliverable will be released at the end of start phase (M3), with the analysis of use case requirements (T2.1), sovereignty, sustainability, interoperability and security requirements (T2.2), programming model (T2.3), framework architecture (T2.4), and verification (T2.5). The Project will generate incremental releases at the end of each 6-month research cycle (M9, M15, M21, M27, M33) with updates if any in use cases (T2.1), sovereignty, sustainability, interoperability, security requirements (T2.2), and Verification (T2.5).

Cognit Serverless Platform - Scientific Report - a (opens in new window)

A single Report delivered at the end of each cycle that summarizes the research and development design performed in tasks T4.1, T4.2, T4.3, and T4.4.

Cognit Framework - Demo - a (opens in new window)

Demo of the Cognit Platform in the deployment of the use cases at different stages.

Publications

A combination learning framework to uncover cyber attacks in IoT networks (opens in new window)

Author(s): Arati Behera; Kshira Sagar Sahoo; Tapas Kumar Mishra 0002; Monowar H. Bhuyan
Published in: Internet of Things, 2024, ISSN 2542-6605
Publisher: Elsevier
DOI: 10.1016/J.IOT.2024.101395

Future Generation Computer Systems (opens in new window)

Author(s): Javad Forough; Monowar Bhuyan; Erik Elmroth
Published in: Future Generation Computer Systems, 2026, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108161

IEEE Access (opens in new window)

Author(s): Linthoingambi Takhellambam; Urikhimbam Boby Clinton; Nazrul Hoque; Khumukcham Robindro Singh; Monowar Bhuyan
Published in: IEEE Access, 2025, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/ACCESS.2025.3628066

Modeling the Green Cloud Continuum: integrating energy considerations into Cloud–Edge models (opens in new window)

Author(s): Patel, Y. S., Townend, P., Singh, A., & Östberg, P.-O.
Published in: Cluster Computing, 2024, ISSN 1573-7543
Publisher: Springer Nature
DOI: 10.1007/s10586-024-04383-w

Toward Mitigation of Flow Table Modification Attacks in P4‐Based SDN Data Plane (opens in new window)

Author(s): Buchammagari Avinash Reddy, Kshira Sagar Sahoo, Monowar Bhuyan
Published in: SECURITY AND PRIVACY, Issue 8, 2025, ISSN 2475-6725
Publisher: Wiley
DOI: 10.1002/SPY2.70008

IEEE Transactions on Network and Service Management (opens in new window)

Author(s): Kaushik Mishra; Santosh Kumar Majhi; Kshira Sagar Sahoo; Sourav Kumar Bhoi; Monowar H. Bhuyan; Amir H. Gandomi
Published in: IEEE Transactions on Network and Service Management, 2024, ISSN 1932-4537
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TNSM.2024.3443285

Future Generation Computer Systems (opens in new window)

Author(s): Theodoros Theodoropoulos; Yashwant Singh Patel; Uwe Zdun; Paul Townend; Ioannis Korontanis; Antonios Makris; Konstantinos Tserpes
Published in: Future Generation Computer Systems, 2026, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.5281/ZENODO.17804256

Securing IoT: Unveiling Attacks with Multiview-Multitask Learning (opens in new window)

Author(s): Clinton, Urkhimbam Boby; Hoque, Nazrul; Raza, Shahid; Bhuyan, Monowar
Published in: IEEE Transactions on Artificial Intelligence, 2025, ISSN 2691-4581
Publisher: IEEE
DOI: 10.1109/TAI.2025.3615565

Journal of Cloud Computing (opens in new window)

Author(s): Moreno-Vozmediano, R., Huedo, E., Montero, R. S., & Llorente, I. M
Published in: Journal of Cloud Computing, Issue 12(108), 2023, ISSN 2192-113X
Publisher: SpringerOpen
DOI: 10.1186/s13677-023-00485-9

Adaptive Composition of Machine Learning as a Service (MLaaS) for IoT Environments (opens in new window)

Author(s): Kanneganti, Deepak; Mistry, Sajib; Fattah, Sheik Mohammad Mostakim; Krishna, Aneesh; Bhuyan, Monowar
Published in: 2025 IEEE International Conference on Web Services (ICWS), 2025
Publisher: IEEE
DOI: 10.48550/ARXIV.2506.11054

Mobility‑Hub: Next Generation Traffic Light Controller integrated into the Computing Continuum with Serverless Technology and AI‑enabled Orchestration (opens in new window)

Author(s): Antonio Lalaguna, Paul Townend, Behnam Ojaghi, and Constantino Vázquez
Publisher: IEEE
DOI: 10.1109/MSCC61058.2024.10434672

Executing Mobile Edge Functions in the Cloud-Edge Continuum: Analyzing Threats to Location Integrity (opens in new window)

Author(s): Philippe Massonet, Christophe Ponsard, Malik Bouhou, Xavier Lessage, Marco Mancini, Ruben S. Montero, Alberto Marti, Monowar Bhuyan, Paul Townend
Published in: 2025 12th International Conference on Future Internet of Things and Cloud (FiCloud), 2025, ISSN 2996-1017
Publisher: IEEE
DOI: 10.1109/FICLOUD66139.2025.00010

Formal Models for the Energy-Aware Cloud-Edge Computing Continuum: Analysis and Challenges (opens in new window)

Author(s): Y. S. Patel, P. Townend and P. -O. Östberg
Published in: ISSN 2642-6587
Publisher: IEEE International Conference on Service-Oriented System Engineering (SOSE),
DOI: 10.1109/SOSE58276.2023.00012

Enhancing Machine Learning Performance in Dynamic Cloud Environments with Auto-Adaptive Models (opens in new window)

Author(s): Chanh Nguyen, Monowar Bhuyan, Erik Elmroth
Published in: 2024 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2025
Publisher: IEEE
DOI: 10.1109/CLOUDCOM62794.2024.00024

A Decentralized Microservice Scheduling Approach Using Service Mesh in Cloud-Edge Systems (opens in new window)

Author(s): Yang-Yang Wen, Paul Townend, Per-Olov Östberg, Abel Souza, Clément Courageux-Sudan
Published in: 2025 IEEE International Conference on Joint Cloud Computing (JCC), 2025
Publisher: IEEE
DOI: 10.1109/JCC67032.2025.00012

Anomaly Detection and Resolution on the Edge: Solutions and Future Directions (opens in new window)

Author(s): J. Forough, M. Bhuyan and E. Elmroth
Published in: ISSN 2642-6587
Publisher: IEEE International Conference on Service-Oriented System Engineering (SOSE)
DOI: 10.1109/SOSE58276.2023.00034

TinySEED: A Lightweight Transformer Architecture with Channel-Attention for DDoS Detection

Author(s): Zhang, Yinuo; Khan, Zulfiqar Ahmad; Nadjm-Tehrani, Simin; Bhuyan, Monowar
Published in: 2025
Publisher: Zenodo

Detecting Denial of Wallet Attacks in Serverless Computing: A Neural ODE-LTC Approach (opens in new window)

Author(s): Deepanjan Mitra; Nabendu Chaki; Monowar Bhuyan
Published in: 2025 IEEE International Conference on Joint Cloud Computing (JCC), 2025
Publisher: IEEE
DOI: 10.1109/JCC67032.2025.00021

Power Aware Cluster Orchestration: Taxonomy, Initial Results, and Challenges (opens in new window)

Author(s): Ileet Malla, Thijs Metsch, Paul Townend
Published in: Proceedings of the 18th IEEE/ACM International Conference on Utility and Cloud Computing, 2025
Publisher: ACM
DOI: 10.1145/3773274.3774698

Cooperative and Connected Mobility Services in the Cloud-Edge Continuum with Function As A Service Technology and AI-enabled Orchestration (opens in new window)

Author(s): Antonio Lalaguna, Paul Townend, Behnam Ojaghi, Constantino Vázquez
Published in: 2024 Mediterranean Smart Cities Conference (MSCC), 2024
Publisher: IEEE
DOI: 10.1109/MSCC62288.2024.10697004

A Stable Matching Approach to Energy Efficient and Sustainable Serverless Scheduling for the Green Cloud Continuum (opens in new window)

Author(s): Patel, Yashwant Singh; Townend, Paul
Published in: 2024 IEEE International Conference on Service-Oriented System Engineering (SOSE), 2024
Publisher: IEEE
DOI: 10.1109/SOSE62363.2024.00010

Decentralized Multi-Agent Reinforcement Learning for the Green Serverless Cloud-Edge Continuum (opens in new window)

Author(s): Yashwant Singh Patel; Anurag Choubey; Anil Singh; Paul Townend
Published in: 2025 IEEE International Conference on Service-Oriented System Engineering (SOSE), 2025
Publisher: IEEE
DOI: 10.1109/SOSE67019.2025.00017

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing (opens in new window)

Author(s): Chanh Nguyen 0001; Erik Elmroth; Monowar Bhuyan
Published in: 2025 IEEE International Conference on Service-Oriented System Engineering (SOSE), 2025
Publisher: IEEE
DOI: 10.48550/ARXIV.2507.04969

Cliffhanger: An Experimental Evaluation of Stateful Serverless at the Edge (opens in new window)

Author(s): A. Hasselberg, T. O. Timoudas, P. Carbone and G. Dán
Published in: ISSN 2688-4909
Publisher: 2024 19th Wireless On-Demand Network Systems and Services Conference (WONS),
DOI: 10.23919/WONS60642.2024.10449637

GreenContinuum: A Formal Model of a Smart Grid-Aware Edge-Cloud Continuum for Carbon and Energy Management (opens in new window)

Author(s): Gulbaz, Rohail
Published in: 2025
Publisher: Zenodo
DOI: 10.5281/ZENODO.17980067

Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control (opens in new window)

Author(s): Nguyen, Chanh; Bhuyan, Monowar; Elmroth, Erik
Published in: CoRR, 2025
Publisher: arXiv
DOI: 10.48550/ARXIV.2508.07640

COGNIT: Challenges and Vision for a Serverless and Multi-Provider Cognitive Cloud-Edge Continuum (opens in new window)

Author(s): P. Townend et al.
Published in: ISSN 2767-9918
Publisher: 2023 IEEE International Conference on Edge Computing and Communications (EDGE),
DOI: 10.1109/EDGE60047.2023.00015

Securing P4-SDN Data Plane against Flow Table Modification Attack (opens in new window)

Author(s): B. A. Reddy, K. S. Sahoo and M. Bhuyan
Published in: ISSN 2374-9709
Publisher: IEEE/IFIP Network Operations and Management Symposium (NOMS)
DOI: 10.1109/NOMS59830.2024.10575461

Towards a Workload Mapping Model for Tuning Backing Services in Cloud Systems (opens in new window)

Author(s): Kumar, G., Sahoo, K.S., Bhuyan, M.
Published in: ISSN 1611-3349
Publisher: Database and Expert Systems Applications. DEXA 2023. Lecture Notes in Computer Science, vol 14146. Springer,
DOI: 10.1007/978-3-031-39847-6_19

Fast and Flexible Serverless CRDTs at the Edge

Author(s): Hasselberg, A., Carbon, P. et al.
Publisher: SNCNW2024

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