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ISBCC 2015 : 2nd International Symposium on Big Data and Cloud Computing Challenges.


When Mar 12, 2015 - Mar 13, 2015
Where VIT University, Chennai, India.
Submission Deadline Jan 15, 2015
Categories    cloud computing   big data   internet of things

Call For Papers

Call for Paper
2nd International Symposium on Big Data and Cloud Computing Challenges.
(ISBCC-2015)March 12-13, 2015.
VIT University, Chennai, India.

Cloud computing has emerged as a de facto computing model, enabling software, infrastructure, and information to be used as services over the network in an on-demand manner. Currently, both industry and high-resolution datasets that allow for data-intensive decision-making, at a level never before imagined. The Second International Symposium on Cloud Computing and Big Data Challenges (ISBCC 15) solicits high quality original research papers in all aspects of Cloud Computing, Big Data, sematic cloud, networking with emphases on Cloud Systems, Cloud Services and Big Data Management in Clouds.

Topics include but are not limited to:

1. Architecture

Cloud Infrastructure as a Service
Cloud Platform as a Service
Cloud federation and hybrid cloud infrastructure
Programming models and systems/tools
Green data center
Networking technologies for data center
Cloud system design with FPGA, GPU, and APU
Monitoring, management and maintenance
Economic and business models
Dynamic resource provisioning

2. MapReduce

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

3. Security and Privacy

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

4. Services and Applications

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

5. Virtualization

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

6. HPC on Cloud

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

7. Big Data Science and Foundations

Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards

8. Big Data Infrastructure

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

9. Big Data Management

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

10. Big Data Search and Mining

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

11. Big Data Security & Privacy

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

12. Big Data Applications

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

13. Additional Topics this year

Semantic Cloud
Cognition and Semantic Web
Mobile Web
Wireless Sensor networks
Machine Learning
Web Science
Green Computing
Internet of Things (IOT)

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
The authors are requested to use the template given at

for submitting their papers while strictly following the guidelines provided here

All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) as a PDF at the submission site

Accepted and presented papers will be included in the conference proceedings, Elsevier Procedia Computer Science. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will not be included in the proceedings

Distinguished Papers
Distinguished papers presented at the conference, after further revision, will be recommended for publication in special issues of the following journals
CODATA Data Science Journal, SCOPUS
International Journal of Big Data Intelligence, Inderscience
WIREs Data Mining and Knowledge Discovery, Wiley , SCOPUS, SCI.

Call for Special Sessions
A special session is a group of 6 papers (or multiple of 6), organized on the initiative of any volunteer proposing NO MORE than 2 papers inside. Special session topics must be in areas consistent with those of the conference.
In order to avoid that Special Sessions tend to draw papers from Regular Tracks, the Special Sessions on Topics not enough specific and too general will be rejected.
Organizer Instructions: Any potential organizer (or group of organizers: no more than 2) has to complete the following tasks:
Provide Special Sessions Chairs with a provisional title of the special session;
Send a “Call for Papers” dedicated to that special session to Special Sessions Chair: Deadline November 31, 2014;
Send a potential list of authors to be invited to submit a paper;
Send a list of potential reviewers (at least 3 reviewers per paper) to facilitate the review process
If less than 6 papers will be submitted before the end of the deadline, the submitted papers will be moved to regular tracks to be reviewed as regular contributions.

Call for Tutorials
ISBCC 2015 seeks half-day/full-day tutorial proposals, which should provide clear and focused teaching material covering new and emerging topics within the scope of communications.
The tutorial proposal should describe concisely the content, importance and timeliness of the tutorial. It should contain the following sections: 1. Title of tutorial; 2. Outline of the tutorial; 3. The tutorial speaker(s) and where appropriate the topics they will cover in the tutorial; 4. Brief CVs for each tutorial speaker (no more than 300 words per person); 5. Importance and timeliness of the tutorial; 6. Previous lecture and tutorial experience of the tutorial speaker(s).
Submitted tutorial proposal should not exceed FIVE pages and it should be submitted in one all-in-one PDF file. The deadline for submissions is 31 December 2014. The proposal document should be submitted to tutorial chair.

Important Dates
Electronic submission of full papers: December 7, 2014,
Notification of paper acceptance: December 21, 2014
Camera-ready of accepted papers: December 31, 2014
Symposium: March 12-13, 2015

VIT University
Chennai Campus
Vandalur - Kelambakkam Road
Chennai - 600 127
Ph : 044 3993 1555
Fax : 044 3993 2555

Conference Chairs
Dr. V Vijayakumar, SCSE, VIT Chennai
+91 9942057843

Dr. V Neelanarayanan, SCSE, VIT Chennai
+91 7598564593

Special Session Chair
Dr. D Rekha, SCSE, VIT Chennai.
+91 9841408327

Workshop Chair
Dr. Sivabalakrishnan M, SCSE, VIT Chennai
+91 9841260016

Tutorial Chair
Dr. Syed Ibrahim SP, SCSE, VIT Chennai
+91 9944416392

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

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