Conference Information
ICCCBDA 2025: International Conference on Cloud Computing and Big Data Analytics
https://www.icccbda.com/
Submission Date:
2025-01-15 Extended
Notification Date:
2025-02-10
Conference Date:
2025-04-25
Location:
Chengdu, China
Years:
10
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Call For Papers
Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings.

Please check the topics of ICCCBDA 2025. The topics are not limited to those as below:

1. Cloud computing models, computing, and cloud applications

Topics of interest for submission include, but are not limited to:

Cloud and grid computing for big data
Cloud Application Architectures
Cloud Application Scalability and Availability
Cloud Applications Performance and Monitoring
Cloud computing and semantic web technologies
Cloud Computing Architecture and Systems
Cloud Computing Models, Simulations, Designs, and Paradigms
Cloud Computing Technologies, Services and Applications
Cloud Economics
Cloud for Enterprise Business Transformation
Cloud Management and Operations
Cloud Middleware Frameworks
Cloud Optimization and Automation
Cloud Quality and Performance
Cloud Resource Virtualization and Composition
Cloud Solution Design Patterns
Infrastructure and platform for smart computing
Models and tools for smart computing

2. Big Data Science and Engineering Applications

Topics of interest for submission include, but are not limited to:

Algorithms and Programming Techniques for Big Data Processing
Algorithms and Systems for Big Data Analysis Search
Big Data Analysis Analytics and Metrics
Big Data Analysis Architectures
Big Data Storage, Indexing, Searching and Querying
Big Data Analysis Encryption
Big Data Analysis in Mobile and Pervasive Computing
Big Data Analysis Management
Big Data Analysis Search and Mining
Big Data Open Platforms
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Toolkits
Collaborative Threat Detection using Big Data Analysis Analytics
Data mining, graph mining and data science
Experiences with Big Data Project Deployments
Foundational Models for Big Data
Hardware/software infrastructure for big data
Intelligent Data Processing
Machine learning and AI for big data
Models and Languages for Big Data Protection
Privacy Preserving Big Data Analytics
Representation Formats for Multimedia Big Data
Security and privacy for big data
Techniques, models and algorithms for big data
Tools and systems for big data
Visualization Analytics for Big Data
Cloud Computing Techniques for Big Data
Machine learning based on Big Data
Big data applications: Bioinformatics
Big Data as a Service
Big Data for Business Model Innovation
Big Data for Enterprise Transformation
Big Data for Vertical Industries (including Government, Healthcare, and Environment)
Big Data in Business Performance Management
Big Data in Enterprise Management Models and Practices
Big Data in Government Management Models and Practices
Big Data in Smart Planet Solutions
Big Data Analysis for Business Model Innovation
Big Data Analysis for Enterprise, Government and Society
Real-life Case Studies of Value Creation through Big Data Analytics
Framework for Data Understanding and Quality
New Data Standards and Programming Models
Multimedia and Multi-structured Data
City-scale Data Mining and Machine Learning
Issues, problems and opportunities in Big Data
Blockchain based lightweight data structures for IoT data
Management Issues of Social Network Big Data
Big Data Analysis Economics
SME-centric Big Data Analytics
Last updated by Dunn Carl in 2024-12-09
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