7th International Conference on Big data and Cloud Computing (ICBCC 2022), VIT University Chennai Campus, Chennai, Tamil Nadu, 22nd - 23rd September 2022

Registrations Closed
View Event Website Poster Link
Event Type:
Venue/Offline Mode
Start Date :
22nd September 2022
End Date :
23rd September 2022
Location :
Chennai, Tamil Nadu
Organizer :
VIT University Chennai Campus
Category :
International Conference
7th International Conference on Big data and Cloud Computing (ICBCC 2022)

About Event

About ICBCC 2022

The 7th International Conference on Big data and Cloud Computing (ICBCC 2022) will be held in Vellore Institute of Technology, Chennai, India from 22-23 September, 2022. ICBCC 2022 is a premier forum for researchers, practitioners, developers and users who are interested in cloud computing and big data to explore new ideas, techniques and tools, as well as to exchange their experience. ICBCC 2022 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract many leading researchers and industry figures from all over the world.

Technical Scope:

Papers related to all aspects of Big Data and Cloud Computing technologies (for topics: kindly refer to the brochure attached) including theoretical work as well as case studies offering insights in problem-solving with empirical or simulation-based evidence is welcome. Conference topics are given in the conference website https://chennai.vit.ac.in/files/icbcc2022 and in the brochure.

Papers Submission:

Authors are kindly invited to submit their formatted full papers through easy chair (in springer format, given in conference website) including results, tables, figures, and references.

All submissions are handled through https://easychair.org/conferences/?conf=icbcc2022


All ICBCC 2022 presented papers will be published in conference proceedings by Springer Series Springer in their prestigious “Lecture Notes in Electrical Engineering” series (https://www.springer.com/series/7818)


SCOPUS, EI-Compendex, DBLP, Google Scholar, and Springerlink*.

Important Dates: [Paper Submission Deadlines]

Last Date for Paper Submission May 31, 2022
Acceptance Notification July 15, 2022
Final Paper (Camera Ready) Submission July 30, 2022
Registration Aug 1 - Sept 1, 2022
Conference Sept 22-23, 2022

Registration charges

for Academicians/ Research Scholars Rs.8000/-
For industry participants Rs.10000/-
For VITians Rs.6000/-
To receive further notifications about this international conference kindly join the telegram group using the link given:


Thanks and Regards
Email: icbcc2022@gmail.com


Last Date for Paper Submission May 31, 2022
Acceptance Notification July 15, 2022
Final Paper (Camera Ready) Submission July 30, 2022
Registration Aug 1 - Sept 1, 2022
Conference Sept 22-23, 2022

PPT Topics

Big data algorithms, architecture and applications
Cloud computing architecture, trust management and applications
Cyber physical systems and IoT
Context aware computing
Security and privacy concerns in current computing scenarios
Cognitive technology
Artificial Intelligence and Deep Learning
1. Architecture
o Cloud Infrastructure as a Service
o Cloud Platform as a Service
o Cloud federation and hybrid cloud infrastructure
o Programming models and systems/tools
o Green data center
o Networking technologies for data center
o Cloud system design with FPGA, GPU, and APU
o Monitoring, management and maintenance
o Economic and business models
o Dynamic resource provisioning

2. MapReduce
o Performance characterization and optimization
o MapReduce on multi-core, GPU
o MapReduce on hybrid distributed environments
o MapReduce on opportunistic / heterogeneous computing systems
o Extension of the MapReduce programming model
o Debugging and simulation of MapReduce systems
o Data-intensive applications using MapReduce
o Optimized storage for MapReduce applications
o Fault-tolerance & Self-capabilities

3. Security and Privacy
o Accountability
o Audit in clouds
o Authentication and authorization
o Cryptographic primitives
o Reliability and availability
o Trust and credential management
o Usability and security
o Security and privacy in clouds
o Legacy systems migration
o Cloud Integrity and Binding Issues

4. Services and Applications
o Cloud Service Composition
o Query and discovery models for cloud services
o Trust and Security in cloud services
o Change management in cloud services
o Organization models of cloud services
o Innovative cloud applications and experiences
o Business process and workflow management
o Service-Oriented Architecture in clouds

5. Virtualization
o Server, storage, network virtualization
o Resource monitoring
o Virtual desktop
o Resilience, fault tolerance
o Modeling and performance evaluation
o Security aspects
o Enabling disaster recovery, job migration
o Energy efficient issues

6. HPC on Cloud
o Load balancing for HPC clouds
o Middleware framework for HPC clouds
o Scalable scheduling for HPC clouds
o HPC as a Service
o Performance Modeling and Management
o Programming models for HPC clouds
o HPC cloud applications
o Optimal cloud deployment for HPC

7. Big Data Science and Foundations
o Novel Theoretical Models for Big Data
o New Computational Models for Big Data
o Data and Information Quality for Big Data
o New Data Standards

8. Big Data Infrastructure
o Cloud/Grid/Stream Computing for Big Data
o High Performance/Parallel Computing Platforms for Big Data
o Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
o Energy efficient Computing for Big Data
o Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
o Software Techniques and Architectures in Cloud/Grid/Stream Computing
o Big Data Open Platforms
o New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
o Software Systems to Support Big Data Computing

9. Big Data Management
o Advanced database and Web Applications
o Novel Data Model and Databases for Emerging Hardware
o Data Preservation
o Data Provenance
o Interfaces to Database Systems and Analytics Software Systems
o Data Protection, Integrity and Privacy Standards and Policies
o Information Integration and Heterogeneous and Multi-structured Data Integration
o Data management for Mobile and Pervasive Computing
o Data Management in the Social Web
o Crowd sourcing
o Spatiotemporal and Stream Data Management
o Scientific Data Management
o Workflow Optimization
o Database Management Challenges: Architecture, Storage, User Interfaces

10. Big Data Search and Mining
o Social Web Search and Mining
o Web Search
o Algorithms and Systems for Big Data Search
o Distributed, and Peer-to-peer Search
o Big Data Search Architectures, Scalability and Efficiency
o Data Acquisition, Integration, Cleaning, and Best Practices
o Visualization Analytics for Big Data
o Computational Modeling and Data Integration
o Large-scale Recommendation Systems and Social Media Systems
o Cloud/Grid/Stream Data Mining- Big Velocity Data
o Link and Graph Mining
o Semantic-based Data Mining and Data Pre-processing
o Mobility and Big Data

11. Big Data Security & Privacy
o Intrusion Detection for Gigabit Networks
o Anomaly and APT Detection in Very Large Scale Systems
o High Performance Cryptography
o Visualizing Large Scale Security Data
o Threat Detection using Big Data Analytics
o Privacy Threats of Big Data
o Privacy Preserving Big Data Collection/Analytics
o HCI Challenges for Big Data Security & Privacy
o User Studies for any of the above
o Sociological Aspects of Big Data Privacy

12. Big Data Applications
o Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance
o Business, Law, Education
o Transportation, Retailing, Telecommunication
o Big Data Analytics in Small Business Enterprises (SMEs)
o Big Data Analytics in Government, Public Sector and Society in General
o Real-life Case Studies of Value Creation through Big Data Analytics
o Big Data as a Service
o Big Data Industry Standards
o Experiences with Big Data Project Deployments

13. Recent trends
o Semantic Cloud
o Mobile Cloud
o e-Healthcare Applications in Cloud
o Cloud analytics for Internet of Things (IoT)
o Smart Grid
o Fog Computing
o Edge Computing
o Deep Learning



How to reach VIT University Chennai Campus, Chennai

Chennai Campus Vandalur - Kelambakkam Road Chennai - 600 127

Certificates will be provided to Participants

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