Calls for papers

 

International Journal of Big Data Intelligence

 

Special Issue on: "Big Data Management in Clouds: Opportunities, Issues, Challenges and Solutions"

Guest Editors:
Prof. V. Vijayakumar and Prof. V. Neelanarayanan, VIT University, India
Prof. G. Anderson, University of Botswana, Botswana
Prof. Janet Light, University of New Brunswick, Canada

Cloud computing and big data has emerged as an important computing model, enabling software, infrastructure and information to be used as services over the network in an on-demand manner. Currently, both industry and academia have access to high-resolution datasets that allow for data-intensive decision making at a level never before imagined.

This special issue solicits high-quality original research papers on all aspects of cloud computing and big data with emphasis on cloud systems, cloud services and big data management in clouds. The issue will be a platform for creating awareness for students, faculties, the industrial community and society regarding the usage of big data.

The issue will carry revised and substantially extended versions of selected papers presented at the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC 2016), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.

Subject Coverage
Suitable topics include, but are not limited to, the following:

• Architecture
• Map reduce
• Security and privacy
• Big data science and foundations
• Big data infrastructure
• Big data management
• Big data search and mining
• Big data security and privacy
• Big data applications
• The 5Vs of the data landscape: volume, variety, velocity, veracity, value
• Big data science and foundations, analytics, visualisation and semantics
• Software and tools for big data management
• Security, privacy and legal issues specific to big data
• Big data economy, QoS and business models
• Intelligence and scientific discovery
• Large-scale recommendation systems and graph analysis
• Algorithmic and experimental prototyping and implementation
• Data-driven innovation, computational modelling and data integration
• Data-intensive computing theorems and technologies
• Modelling, simulation and performance evaluation
• Complex applications in areas where massive data is generated
• Big data and social networking concepts and applications
• Emerging technologies in big data and social networking
• Management issues of social network big data
• Security challenges in big data and social networks
• Social network and big data analytics
• Open source tools for big data
• Green computing for big data
• Network infrastructure for social networking and big data
• Social network monitoring tools as a service
• Cloud computing for big data and social networks
• Big data and the Internet of Things
• Big data management
• Big data and decision making
• Big data for wireless sensor networks
• Visualisation tools for big data
• Mobile cloud networks and big data
• Social network data analysis tools and services on the cloud
• Large-scale bioinformatics data analysis and management
• Case studies

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 12 June, 2016

Notification to authors: 25 July, 2016

Final versions due by: 1 August, 2016