Call for Papers

 

Special Issue on

 

Intelligent Big Data Processing

 

Future Generation Computer Systems

Editor-in-Chief: Peter Sloot

 

http://ees.elsevier.com/fgcs/

 

ISSN: 0167-739X

 

Overview

Nowadays, data comes from sensors, lab experiments, simulations, individual archives, enterprise and Internet in all scales and formats. This data flood has outpaced our capability to process, analyze, store and understand these datasets.  Such rapid expansion is also accelerated by the dramatic increase in acceptance of social media and networking applications.  Furthermore, It can be foreseen that Internet of things (IoT) applications will raise the scale of data to an unprecedented level.  People and devices (from home coffee machines to cars, to buses, railway stations and airports) are all loosely connected. Trillions of such connected components will generate a huge data ocean, and valuable information must be discovered from the data to help improve quality of life and make our world a better place.  This special issue intends to tackle such data deluge issues intelligently, efficiently and effectively.  Areas of interest for this special issue include the following topics:

 

-          Intelligent data mining techniques

-          Dynamic data redistribution

-          Scalable and distributed algorithms

-          New programming models for large data

-          Locality aware data processing

-          NoSQL

-          Data filtering techniques for Internet of Things

-          DaaS, Data as a Service

-          MapReduce in hybrid clouds

-          Asynchronous data processing

-          Opportunistic data processing in hybrid clouds

-          Intelligent storage and load balancing

-          Data migration and synchronization (between private and public clouds)

-          Multi-tier MapReduce programming model

-          Dynamic Mapper/Reducer join/leave

-          Data decomposition base on GPU / CPU availability

-          Dynamic provisioning for big data processing

-          System Issues related to large datasets

 

Schedule

Manuscript due date: December 20, 2012

First round notification: March 1st, 2013

Submission due date of revised paper: April 15, 2013

Notification of acceptance: May 15, 2013

Submission of final revised paper: June 10, 2013

Publication: September 2013 (tentative)

 

Submission & Review Instruction

Submitted articles must not have been previously published or currently submitted for journal publication elsewhere.  Submissions must be directly sent via the FGCS submission web site at http://ees.elsevier.com/fgcs/login.asp  (please select the track - SI: Intelligent Big Data).

 

Paper submissions must conform to the layout and format guidelines in Future Generation Computer Systems.  For a full and complete Guide for Authors, please refer to: http://www.journals.elsevier.com/future-generation-computer-systems/

 

Each submitted paper will be reviewed by at least three Editorial reviewers

Criteria and Evaluation for acceptance of paper: 

-          Significance to the journal's audience

-          Relevance to this special issue

-          Quality of the paper including originality, technical depth, significance of results, adequacy of priori works referenced, overall organization, clarity and readability, satisfactory English writing, sufficient support for assertions and conclusion, appropriate title, abstract adequately summarizes the paper, introduction provides proper orientation, clear tables and figures.

-          Overall recommendation on the paper

-          Optional confidential comments to the Editorial Committee

 

Guest Editors

 

         


Robert Hsu

Department of Computer Science and Information Engineering,

Chung Hua University, Taiwan

Email: chh@chu.edu.tw

http://people.chu.edu.tw/~chh