2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE 2024)
Call For Papers
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Call For Papers

2024 3rd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE 2024) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.

Scope and Topics | Topics include but are not limited to the following areas:
  • Track 1: Cloud Computing

Cloud Solution Design Patterns

Cloud Application

Cloud Optimization and Automation

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 and grid computing for big data

Cloud Economics Cloud for Enterprise Business Transformation

Cloud Management and Operations

Cloud Middleware Frameworks

Cloud Optimization and Automation

Cloud Quality and Performance

Cloud Resource

Smart Computing Distributed, and Peer-to-peer Search

Parallel, and Distributed Computing


  • Track 2: Big Data Application

Algorithms and Programming Techniques for Big Data Processing

Algorithms and Systems for Big Data Search

Big Data Analysis in Mobile and Pervasive Computing

Big Data Analysis Search and Mining

Big Data Service

Big Data Encryption

Big Data Open Platforms

Big Data Quality and Provenance Control

Big Data Toolkits

Data mining, graph mining and data science

Foundational Models for Big Data

Architecture of Big Data 

Big Data Management 

Big Data Analysis and Processing

Security and Privacy of Big Data 


Big Data in Smart Cities  

Search,  Mining and Visualization of Big Data

Technologies,  Services and Application of Big Data  

Big data analytics and socialmedia

Big data applications: Bioinformatics

Scientific Applications of 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

Hardware/software infrastructure for big data

Intelligent Data Processing

Machine learning and AI for big data


  • Track 3: Software Engineering

Embedded Systems
End user software engineering
Engineering of distributed/parallel SW systems
Engineering of embedded and real-time software
Engineering secure software
Human-Computer Interaction
Internet and information systems development
Office Suites
Operating Systems
Program comprehension and visualization

Programming Language
Reengineering, Reverse Engineering
Reliability Modeling and Analysis
Requirements Engineering
Reverse engineering and maintenance
Safety and Security Critical Software
Software Agent Technology
Software architecture and design
Software components and reuse
Software dependability, safety and reliability

Software Development Tools
Software Process Models

Software processes and workflows
Software Reuse and Metrics
Software testing and analysis
Software tools and development environments
SW Configuration management and deployment
System Platforms
Virtual Reality and Computer Graphics
Web Engineering
Web-Based Applications


  • Track 4: Others

If you don't find your topic, please directly submit your manuscript.

Publication tips:

All accepted papers will be reviewed by two or three experts from the conference organizing committee and will be published by Conference Proceedings. The published papers will then be submitted to EI, Scopus for indexing.


1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.
2) All submitted articles should be original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is totally unacceptable academic misconduct and cannot be tolerated.