Call for Papers

Prospective authors are invited to submit high-quality original technical papers for presentation at the 2027 the 12th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA) and publication in the conference proceedings. The topics are not limited to those listed below.

EasyChair Submission System

Submit your paper via the EasyChair conference management system:
http://www.easychair.org/conferences/?conf=icccbda2027

Conference Tracks

1 Cloud Computing Fundamentals & Architecture
Track Chair: TBA
  • Cloud Deployment Models
  • Cloud Service Architectures
  • Cloud System Design
  • Cloud Simulation Tools
  • Cloud Middleware Frameworks
  • Cloud Cost Economics
  • Cloud Operation Management
  • Cloud Performance Optimization
  • Cloud Solution Patterns
  • Cloud Semantic Web
  • Cloud Solution Design Patterns
2 Cloud & Big Data Security & Privacy
Track Chair: TBA
  • Cloud Security Challenges
  • Big Data Privacy Protection
  • IoT Cloud Security
  • Data Governance Compliance
  • Privacy-Preserving Analytics
  • Blockchain Iot Data
  • Collaborative Threat Detection
  • Cloud Data Encryption
  • Big Data Security Audit
  • Secure Cloud Access
3 Big Data Technologies & Frameworks
Track Chair: TBA
  • Big Data Frameworks
  • Big Data Algorithms
  • Big Data Storage Systems
  • Big Data Indexing Query
  • Big Data Processing Tools
  • Intelligent Data Processing
  • Big Data Infrastructure
  • Big Data Open Platforms
  • Big Data Project Deployment
  • Big Data Toolkits
4 Data Analytics & Machine Learning
Track Chair: TBA
  • Big Data Machine Learning
  • Data Mining Techniques
  • Big Data Analytics Metrics
  • City-Scale Data Mining
  • Big Data Visualization
  • Graph Mining Methods
  • Foundational Data Models
  • Big Data AI Systems
  • Data Science Research
  • Big Data Challenges
5 IoT, Edge & Cloud Integration
Track Chair: TBA
  • IoT-Cloud Integration
  • IoT Data Management
  • Edge-Cloud Paradigms
  • Edge Data Processing
  • Edge Computing Apps
  • Edge Deployment Solutions
  • Cloud IoT Sustainability
  • Edge Intelligence Systems
  • Cloud-Edge Orchestration
  • IoT Big Data Analytics
6 Cloud & Big Data Industry Applications
Track Chair: TBA
  • Healthcare Big Data
  • Financial Cloud Analytics
  • Smart City Solutions
  • Government Big Data
  • Environmental Data Apps
  • Business Model Innovation
  • Industry Cloud Services
  • Big Data Value Creation
  • Vertical Industry Cases
  • Enterprise Data Apps
7 Cloud & Big Data Future Trends
Track Chair: TBA
  • Emerging Cloud Trends
  • Big Data Innovations
  • Ethical Data Issues
  • Regulatory Compliance
  • Societal Data Impacts
  • Future Cloud Challenges
  • Big Data Economics
  • SME Data Analytics
  • Cloud Sustainability
  • Next-Gen Data Systems
8 Cloud Storage & Data Management
Track Chair: TBA
  • Cloud Data Storage
  • Cloud Data Retrieval
  • Data Integration Systems
  • Cloud Database Management
  • Data Quality Control
  • Data Provenance Tracking
  • Data Understanding Frameworks
  • New Data Standards
  • Multimedia Big Data
  • Data Programming Models

Policies

Review

The Committees of ICCCBDA 2027 invest great efforts in reviewing the papers submitted to the conference and organising the sessions to enable the participants to gain maximum benefit.

By submitting a paper to ICCCBDA, the authors agree to the review process and understand that papers undergo a peer-review process. Manuscripts will be reviewed by appropriately qualified experts in the field selected by the Conference Committee, who will give detailed comments and — if the submission gets accepted — the authors submit a revised ("camera-ready") version that takes into account this feedback.

All papers are reviewed using a single-blind review process: authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other's identities, nor do the authors receive information about who has reviewed their manuscript.

Dual/Double Submissions

By submitting a manuscript to ICCCBDA, authors acknowledge that it has not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue with publicly accessible papers, including journals, conferences, workshops, or other peer-reviewed, archival forums. Furthermore, no paper substantially similar in content has been or will be submitted to another peer-reviewed conference or workshop with publicly accessible papers during the review period. The authors also attest that they did not submit a substantially similar submission to ICCCBDA 2027. As a rule of thumb, the ICCCBDA submission should contain no more than 20 percent of material from previous publications. Violation of any of these conditions will lead to rejection.

Plagiarism

ICCCBDA is utterly intolerant of plagiarism. Submitted papers are expected to contain original work executed by the authors with adequate, proper and scholarly citations to the work of others. It is the job of the authors to clearly identify both their own contribution(s) and also published results / techniques on which they depend or build. Reviewers are charged to ensure these standards are met.
If the author is found to commit an act of plagiarism, the following acts of sanction will be taken:
1. Reject the article submitted or delete the article from the final publications.
2. Report the author's violation to his/her supervisor(s) and affiliated institution(s)
3. Report the author's violation to the appropriate overseeing office of academic ethics and research funding agency.
4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist".