Calls for Papers (special): International Journal of Distributed Systems and Technologies (IJDST)


Special Issue On: Enabling Data Driven Methods and Technologies for Future Computer Networks

Submission Due Date
10/25/2016

Guest Editors
Joel Rodrigues
Kun Yang
Zhikui Chen
Xing Zhang
Yue Cao

Introduction
Big Data is a new research field that comprises multiple disciplinary applications and has significant impact on a wide range of sectors of information and communication systems. The rapid development of big data processing in recent years has already been contributing to several emerging applications, e.g., understanding and targeting customers, improving healthcare and public health, improving security, promoting science and research. In future Internet, advanced technologies and services will facilitate the massive exchange of data. Enabling data-driven methods and technologies has potential to improve the quality-of-service and demand the innovative tools for analyzing, learning, modelling, visualization and understanding the big data in the network.

Objective
The scope of this special issue in International Journal of Distributed Systems and Technologies (IJDST) is to provide an opportunity for researchers to publish their latest and innovative contributions in new methodologies and modeling techniques, as well as new solutions for dedicated topics. The novelties of published papers of this special issue are enabling to contribute to industrial innovations, e.g., big data driven next generation networking operation including network planning and optimization management.

Recommended Topics
  • Data-driven network design
  • Data collection, management and curation
  • Data storage, retrieval or rendering
  • Knowledge discovery from big data
  • Network protocol design based on the knowledge from big data
  • Network performance optimization using big data
  • Security and privacy protection using big data
  • Topics in cognitive issues specific to manipulating and understanding big data
  • Innovative approaches combining information visualization, visual analytics, and scientific visualization
  • Collaboration or co-design of data analysis with domain scientists
  • Justification and application cases studies


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Enabling Data Driven Methods and Technologies for Future Computer Networks on or before October 25, 2016. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Zhikui Chen
Guest Editor
International Journal of Distributed Systems and Technologies (IJDST)
E-mail: zkchen@dlut.edu.cn

All manuscript submissions to the special issue should be sent through the online submission system: http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx

Special Issue On: Theory, Algorithms, and Applications of Big Data Science

Submission Due Date
11/1/2017

Guest Editors
Dr. Marcello Trovati, Department of Computer Science, Edge Hill University, UK
Dr. Mark Liptrott, Department of Computer Science, Edge Hill University, UK


Introduction
Data are created continuously and it is estimated that around 2.5 quintillion of bytes of information is generated every day. The identification and extraction of actionable information from data are a key challenge for every data-driven discipline. In fact, the acquisition, understanding, and visualisation of data are at the very heart of most scientific disciplines. As a consequence, research in Big Data has been the focus of researchers and practitioners, which has led to the introduction of novel theories and applications to address the challenges posed by Big Data. The continuous creation of data from various data sources necessitates the utilisation of cutting-edge techniques to facilitate the full exploitation of the potential of big data and its applications.

Objective
The scope of this special issue in the International Journal of Distributed Systems and Technologies (IJDST) is to provide an opportunity for the dissemination of original contributions to discuss and explore theoretical concepts, principles, tools, techniques, and deployment models in the context of Big Data. Via the contribution of both academics and industry practitioners, the current approaches for the acquisition, interpretation, and assessment of relevant information will be addressed to advance state-of-the-art Big Data technology.

Recommended Topics
• Distributed systems and cloud computing for Big Data
• Statistical and dynamical properties of Big Data
• Applications of machine learning for information extraction
• Hadoop and Big Data
• Data and text mining techniques for Big Data
• Novel algorithms in classification, regression, clustering, and analysis
• Big Data applications
• Theory, applications and mining of networks associated with Big Data
• Large-scale network data analysis
• Data reduction, feature selection and transformation algorithms
• Data visualisation
• Distributed data analysis platforms
• Scalable solutions for pattern recognition
• Stream and real-time processing of Big Data


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Theory, Algorithms, and Applications of Big Data Science on or before November 01, 2017. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Dr. Marcello Trovati | Email: trovatim@edgehill.ac.uk
Dr. Mark Liptrott | Email: liptrottm@edgehill.ac.uk