Hybrid Conferencee

International Conference on Edge Computing and Fog Computing (ICECFC - 27)

20th - 21st April 2027 | Berlin, Germany
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Berlin. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Berlin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Berlin, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Berlin."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.