International Conference on Edge Computing and Big Data Systems
ICECBDS
Official Invitation Letter Available
An official invitation letter will be provided upon successful registration for your participation in the conference.
Benefits of Registering as Listener
Access to All Conference Sessions
Plenary, keynote and parallel sessions
Networking Opportunities
Connect with global educators & researchers
Certificate of Participation
Digital certificate of participation
Invitation Letter Support
Official invitation letter after successful registration
Conference Kit / Digital Materials
E-proceedings & resource materials
Access to Keynote Sessions
Learn from leading experts & scholars
Conference Session Tracks
Aligned with UN Sustainable Development Goals
The conference's session tracks effectively support the following SDGs.
This track focuses on the latest architectural innovations in edge computing that enhance the processing capabilities of distributed systems. Discussions will include the integration of edge nodes with cloud infrastructures to optimize data flow and resource allocation.
SDG 9
SDG 11
This session will explore methodologies and applications of predictive analytics within big data frameworks. Emphasis will be placed on the role of machine learning algorithms in forecasting trends and behaviors in large datasets.
SDG 8
Participants will examine the challenges and solutions associated with real-time data processing in Internet of Things environments. Case studies will highlight successful implementations of real-time analytics to drive decision-making and operational efficiency.
SDG 9
SDG 11
This track will delve into the intersection of artificial intelligence and edge computing, showcasing innovative applications that leverage AI for enhanced data processing at the edge. Discussions will include the implications of AI on system performance and scalability.
SDG 9
SDG 11
This session will address the complexities of data integration in big data environments, focusing on techniques that facilitate seamless data flow across heterogeneous sources. The importance of data quality and governance in integration processes will also be highlighted.
SDG 16
This track will investigate optimization strategies that enhance the scalability of computing systems in edge and cloud environments. Participants will discuss algorithms and frameworks that improve resource utilization and system performance.
SDG 9
SDG 12
This session will showcase cutting-edge methodologies in edge analytics that enable real-time insights from data generated at the network's edge. Emphasis will be placed on the role of analytics in driving innovation and operational improvements.
SDG 9
SDG 11
This track will explore the critical aspects of data governance and compliance in the context of big data systems. Discussions will focus on frameworks and best practices that ensure data integrity, security, and regulatory adherence.
SDG 16
Participants will examine the deployment of machine learning models at the edge to enhance data processing capabilities. The session will highlight practical applications and the challenges of implementing machine learning in resource-constrained environments.
SDG 9
SDG 11
This session will focus on the development and evaluation of data processing frameworks designed for real-time analytics. Participants will discuss the trade-offs between speed, accuracy, and resource consumption in various processing architectures.
SDG 9
SDG 11
This track will explore emerging trends and future directions in edge computing and big data systems. Participants will engage in discussions about the potential impact of technological advancements on industry practices and research.
SDG 9
SDG 11