[hpc-announce] Call for papers: Special Issue on Big Data in Industrial and Commercial Applications

[Håkan Grahn]

[Apologies if you got multiple copies of this email.]

## Big Data Research journal (Elsevier)  ##

## Special Issue on Big Data in Industrial and Commercial Applications ##

https://www.journals.elsevier.com/big-data-research/call-for-papers/big-data-in-industrial-and-commercial-applications

# Introduction #

The amount of data collected and managed in most applications is increasing at a staggering pace, including almost all industrial areas, e.g., telecommunications, banking, gaming, defence, logistics and manufacturing. In May 2018 Forbes noted that 2.5 quintillion (1018) bytes of data are produced every day, and the data production rate is increasing all the time. There are two main challenges associated with these enormous amounts of data: we need to provide storage systems, database systems, execution platforms etc. to technically handle the data in a fast, cost-effective and secure way, and we need to develop AI and other applications that can find useful trends and patterns in the data, so that we can produce (business) value. The exploding amount of data in many applications, makes it crucial that the advancements in Big Data research find their way from the research labs to practical applications, and that these research results can be successfully integrated into industrial and commercial processes and systems. In order to accelerate the use of Big Data research in practice, we need to collect and analyse a number of examples from industrial and commercial applications. In this special issue we welcome papers that either look at storage systems and execution platforms for handling the data in a fast, cost-effective and secure way, or at applications that can find useful trends and patterns in the data in industrial and commercial settings. Studies that include both these aspects are of course also welcome.

# Topics for the special issue #

Topics of interest include, but are not limited to:

* Evaluation of storage systems for Big Data in industrial and commercial applications
* Evaluation of database systems for Big Data in industrial and commercial applications
* Execution platforms for Big Data, including virtualized execution environments, in industrial and commercial applications
* Machine learning using Big Data in industrial and commercial applications
* Data mining using Big Data in industrial and commercial applications
* Applications using Big Data for decision support
* Applications using Big Data in image processing
* Applications using Big Data in telecommunications
* Applications using Big Data in logistics
* Applications using Big Data in manufacturing
* Applications using Big Data in military systems
* Applications using Big Data in banking
* Applications using Big Data in gaming

In addition to this brief list of possible topics, we will welcome submissions on other topics addressing Big Data in commercial and industrial applications.

# Paper Submission Format and Guidelines #

All submitted papers must be clearly written in English and must contain only original work, which has not been published by, or is currently under review for, any other journal, conference, symposium, or workshop. Submissions are expected to not exceed 30 pages (including figures, tables, and references) in the journal's single-column format using 11 point font. Detailed submission guidelines are available under "Guide for Authors" at:
http://www.journals.elsevier.com/big-data-research/

All manuscripts and any supplementary material should be submitted through the Elsevier Editorial System (EES). The authors must select " SI: Big Data in Industry" as Article Type when they reach the Article Type step in the submission process. The EES website is located at: https://www.editorialmanager.com/BDR/default.aspx

All papers will be peer-reviewed by at least three independent reviewers. Requests for additional information should be addressed to the guest editors.

# Guest Editors #

Lars Lundberg, Blekinge Institute of Technology, Sweden (Managing Guest Editor)
Håkan Grahn, Blekinge Institute of Technology, Sweden
Valeria Cardellini, University of Rome Tor Vergata, Italy
Andreas Polze, University of Potsdam, Germany
Sogand Shirinbab, Ericsson AB, Sweden

# Contact information #

Lars Lundberg, lars.lundberg at bth.se<mailto:lars.lundberg at bth.se>

# Important Dates #

* Paper submission due date: March 1, 2020
* Notification of acceptance: June 15, 2020
* Revised version due date: August 15, 2020
* Camera-ready copy due date: October 15, 2020
* Expected publication in Big Data Research special issue: December 2020

--
Håkan Grahn
Professor of Computer Engineering
Dept. of Computer Science
Blekinge Institute of Technology
SE-371 79 Karlskrona, Sweden
Phone: +46-455-385804
Web: https://grahn.cse.bth.se, http://www.bth.se/bigdata