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ISBCC 2017 : 4th International Symposium on Big Data and Cloud Computing Challenges (ISBCC-17’)

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Link: http://chennai.vit.ac.in/isbcc/
 
When Mar 9, 2017 - Mar 9, 2017
Where VIT University, Chennai, India
Submission Deadline Aug 31, 2016
Notification Due Oct 31, 2016
Final Version Due Nov 15, 2016
Categories    cloud comuting   big data   distributed computing   data analytics
 

Call For Papers

The Fourth International Symposium on Cloud Computing and Big Data Challenges (ISBCC’ 17) 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


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=isbcc2017
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 in English will be included in proceedings published by Springer in the CCIS series which is abstracted (indexed) by DBLP, EI, Scopus and it is submitted for the inclusion in ISI Proceedings and Inspec.

Thus, the papers are available in Web of Knowledge (Web of Science) database. However, the availability is often with one year delay and is up to decision of service owner.

Information about series

Springer-Verlag
CCIS: Communications in Computer and Information Science (ISSN 1865-0929).
http://www.springer.com/series/7899


Important Dates

Paper submission On or before August 31, 2016
Acceptance notification to authors October 31, 2016
Camera ready paper submission November 15, 2016
Symposium date April 9 – 10, 2017


Conference Chairs

Dr. V Vijayakumar, SCSE, VIT Chennai
vijayakumar.v@vit.ac.in
+91 9942057843

Dr. V Neelanarayanan, SCSE, VIT Chennai
neelanarayanan.v@vit.ac.in
+91 7598564593

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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