2023 2nd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE 2023)

Call For Papers

2023 2nd International Conference on Cloud Computing, Big Data Application and Software Engineering (CBASE 2023) 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.

Note:

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.