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ICBCC 2019 : 6th International Conference on Big data and Cloud Computing Challenges

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Link: http://www.icbcc.org.in
 
When Sep 9, 2019 - Sep 10, 2019
Where UMKC, Kansas City, Missouri, USA
Submission Deadline Apr 15, 2019
Notification Due Jun 30, 2019
Final Version Due Jul 15, 2019
Categories    cloud computing   big data analytics   IOT   cyber physical systems
 

Call For Papers

ICBCC 2019 - 6th International Conference on Big Data and Cloud Computing Challenges (ICBCC -2019)
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Link: www.icbcc.org.in

Date: 9 – 10 September, 2019

Venue: Ewing Marion Kauffman Foundation Conference Center, Kansas City, Missouri, USA

The Sixth International Conference on Cloud Computing and Big Data Challenges (ISBCC’ 19) solicits high quality original research papers in all aspects of Cloud Computing and Big Data with emphases on systems, services and management.

Topics include but are 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
o IoT
o Cyber Physical System (CPS)

Industrial Track

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).


Submission Guidelines

To submit your paper, please follow the instructions below.
1. Log in to EasyChair using the following link:
https://easychair.org/conferences/?conf=icbcc2019
2. Upon a successful login, you will see the Main Interface. Click on 'My Submissions'.
3. Click on ‘Submit a new version’ at the right side.
4. Select the file to upload and make sure that it is in only Microsoft Word format (.doc)
5. Finally, press the 'Submit a New Version’ button to complete the submission. You will receive a confirmation e-mail that your submission was successful.
6. Please do not send us your full-paper submissions by email.

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.

Information about series

Springer-Verlag
Smart Innovation, Systems and Technologies (ISSN: 2190-3018).
https://www.springer.com/series/8767

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:15th April, 2019

Full paper / PhD paper / Demo: 15th April, 2019

Notification of acceptance: 30th June, 2019

Camera-ready papers:15th July, 2019

Conveners
Dr.V.Vaidehi Vijaykumar
VIT University, Chennai, India

Dr.Kevin Truman
UMKC, USA

General Chair
Dr.V. Vijayakumar
VIT University, Chennai, India

Dr. Praveen Rao,
UMKC, USA

General Co Chair
Dr.V. Neelanarayanan
VIT University, Chennai, India

Dr. M. A. Kuhail,
UMKC, USA

Honarary Chair
Dr.LAURENT Y CIV,
Air Force Research Labs,
USA

Dr. Vijaykumar V
UMKC, USA

Local Arrangements Chair
Ms. Christina Davis,
UMKC, USA

Special Session Chair
Dr. D Rekha, SCSE, VIT Chennai.
rekha.d@vit.ac.in
+91 9841408327

Workshop Chair
Dr. Sivabalakrishnan M, SCSE, VIT Chennai
sivabalakrishnan.m@vit.ac.in
+91 9841260016

Organised by
School of Computing Science and Engineering (SCSE)
VIT Chennai
India.

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