International Conference on Edge Computing and Fog Computing

ICECFC

13th Nov – 14th Nov 2026 Abu Dhabi, UAE

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Registration Summary

Conference ICECFC

Date 13th Nov – 14th Nov 2026

Location Abu Dhabi, UAE

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Edge Computing Architectures +

This track focuses on the latest architectural innovations in edge computing, emphasizing scalability and efficiency. Researchers are invited to present novel designs that enhance performance in distributed environments.

SDG 9 SDG 11

02 Fog Computing for Industrial Applications +

This session explores the integration of fog computing in industrial settings, highlighting case studies and practical implementations. Contributions should address challenges and solutions in real-time data processing and resource management.

SDG 8 SDG 9

03 Machine Learning Techniques for Edge Analytics +

This track invites papers on the application of machine learning techniques, including supervised and unsupervised learning, for edge analytics. Emphasis will be placed on innovative approaches to feature extraction and anomaly detection.

SDG 4 SDG 9

04 IoT Integration and Workflow Automation +

This session examines the role of edge and fog computing in enhancing IoT integration and automating workflows. Contributions should discuss methodologies that improve system efficiency and data flow.

SDG 9 SDG 11

05 Predictive Modeling in Distributed Systems +

This track focuses on the development and application of predictive modeling techniques within distributed systems. Papers should explore methodologies that enhance predictive maintenance and system monitoring capabilities.

SDG 9 SDG 12

06 Real-Time Analytics in Edge Computing +

This session highlights research on real-time analytics solutions enabled by edge computing technologies. Contributions should demonstrate the impact of low-latency data processing on decision-making processes.

SDG 9 SDG 11

07 Resource Allocation Strategies in Fog Environments +

This track addresses resource allocation challenges in fog computing environments, focusing on optimization techniques. Researchers are encouraged to present innovative algorithms that improve resource utilization and system performance.

SDG 9 SDG 12

08 Network Optimization for Edge and Fog Computing +

This session explores strategies for optimizing network performance in edge and fog computing scenarios. Papers should discuss techniques that enhance data transmission efficiency and reduce latency.

SDG 9 SDG 11

09 Process Optimization in Edge-Enabled Systems +

This track investigates methods for process optimization in systems leveraging edge computing technologies. Contributions should focus on improving operational efficiency and reducing resource consumption.

SDG 9 SDG 12

10 Digital Twin Technologies in Edge Computing +

This session examines the application of digital twin technologies in edge computing environments. Papers should explore how digital twins can enhance predictive analytics and system monitoring.

SDG 9 SDG 12

11 Model Evaluation and Performance Metrics +

This track focuses on the evaluation of models deployed in edge and fog computing systems, emphasizing performance metrics and benchmarking. Researchers are invited to propose frameworks for assessing model effectiveness in real-world applications.

SDG 9 SDG 11