Calls for papers

 

International Journal of Grid and Utility Computing

 

Special Issue on: "Recent Developments in Parallel, Distributed and Grid Computing for Big Data"

Guest Editors:
Dr. Pardeep Kumar, Jaypee University of Information Technology, India
Dr. Amit Kumar Singh, Jaypee University of Information Technology, India
Dr. Ravi Shankar Singh, Indian Institute of Technology (Banaras Hindu University), India
Dr. Satya Prakash Ghrera, Jaypee University of Information Technology, India

Recent advances in digital sensors, communications, computation, and storage, have produced huge collections of data, capturing information that is of value to business, science, government, and society, coins the term ‘big data’. In addition, big data is applied to large volumes of data whose size is beyond the ability of commonly used software tools, to capture/manage/process the data within a reasonable time for the application, from medical, banking, e-commerce, social networking sites, e-voting, education, astronomy, intelligent computer networks, handling of income tax documents etc.., to smart cities approaches like urban planning, intelligent transportation, water supply networks etc. The large volume of data makes computing difficult when using a single processor and storage, and parallel, distributed and grid processing with parallelized multi-processors is preferred, while the data themselves are stored in the distributed environment.

As the size of data grows exponentially, current algorithms are not efficient or scalable enough to handle such large volumes of data. Designing more accurate intelligent models and framework so as to satisfy the processing needs will bring a large number of opportunities as well as challenges to the researchers for big data computing. As such, there is a strong demand to investigate parallel, distributed and grid computing solutions to process large-scale data sets. The objective of this special issue is to concentrate on all aspects, state of the art, recent developments/methods and future research directions related to big data processing.

The issue will carry revised and substantially extended versions of selected papers presented at PDGC 2016, but we are also inviting other experts to submit articles for this call.

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

• Parallel and distributed systems
• Network-based computing
• Cluster, grid and cloud computing
• Architectures and applications for large-scale data analysis
• High performance computing algorithms
• Novel programming models and platforms for big data
• Green computing models and sustainability issues for big data
• Innovative distributed infrastructure for big data
• Wireless and mobility support for big data
• Hybrid and heterogeneous architectures for fast big data analytics

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: 28 February, 2017