ICBCC 2019 6th International Conference on Big Data and Cloud Computing, 9 – 10 September, 2019 at Ewing Marion Kauffman Foundation Conference Center, Kansas City, Missouri, USA



Call for Papers

The 6th International Conference on Big data and Cloud Computing (ICBCC 2019) will be held in the University Of Missouri-Kansas City (UMKC), USA from 9th and 10th September, 2019. ICBCC 2019 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 2019 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.

One page CFP

TECHNICAL SCOPE

In 2019, we will celebrate our 6th edition of gathering, to strive to advance the largest international professional forum on big data and cloud computing. We invite the submission of original, unpublished technical papers on topics including but not limited to:

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

Industrial Trackd
The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 6 pages) and extended abstracts (2-4 pages).


PUBLICATION

All accepted papers will be Published in Smart Innovation, Systems and Technologies - Springer, and made available through SpringerLink Digital Library, one of the world's largest scientific libraries. Proceedings are submitted for inclusion to the leading indexing services: ISI Proceedings, EI-Compendex, SCOPUS, Google Scholor and Springerlink.
Submission Link: https://easychair.org/conferences/?conf=icbcc2019

Special Issues

Energy Efficient Computing in parallel and distributed computing,
EAI Endorsed Transactions on Energy Web and Information Technologies,
https://escripts.eai.eu/publication/240-energy-efficient-computing-in-parallel-and-distributed-computing

Intelligent Tranportation Systems for Smary Cities
INDERSCIENCE International Journal of Vehicle Information and Communication Systems
https://www.inderscience.com/jhome.php?jcode=ijvics


THE BEST PAPER AWARD

The program committee will select one of the accepted papers as the “ICBCC 2019 Best Paper Award”. The winner(s) will be announced during the conference.


IMPORTANT DATES

Tutorial / Workshop Proposal:30th April, 2019

Full paper / PhD paper / Demo: 31st May, 2019

Notification of acceptance: 15th June, 2019

Camera-ready papers: 30th June, 2019

Full details about submission procedures are available at www.icbcc.org.in