[Storage-research-list] Call for papers IEEE Transactions on Big Data Special Issue on Big Data Infrastructure

[Jinjun Chen]

Call for papers: IEEE Transactions on Big Data Special Issue on Big Data
Infrastructure


Data is becoming an increasingly decisive resource in modern societies,
economies, and governmental organizations. Big Data is an emerging paradigm
encompassing various kinds of complex and large scale information beyond
the processing capability of conventional software and databases. Various
technologies are being discussed to support the handling of big data such
as massively parallel processing databases, scalable storage systems, cloud
computing platforms, Hadoop and Spark.  Due to the multisource, massive,
heterogeneous, and dynamic characteristics of application data involved in
a distributed environment, one of the most important characteristics of Big
Data is to carry out computing on the petabyte (PB), even the exabyte
(EB)-level data with a complex computing process. Therefore, large-scale
scalable Big Data Infrastructure with corresponding programming language
support and software models for efficient processing in distributed
environments such as cloud is on demand.



In this special issue, we invite articles on innovative research to address
challenges of Big Data Infrastructure with emerging computing platforms
such as heterogeneous clouds, hybrid architectures, Hadoop or Spark with
emphasis on addressing real-time requirements imposed by emerging Big Data
applications such as sensing data, e-commerce data, business transactions
and web logs, and etc. Topics of interests include, but are not limited to:



   -

   Data sensing and Data fusion
   -

   Scalable data storage and computation management for Big Data
   -

   Resource scheduling, SLA, Fault tolerance and reliability for Big Data
   -

   Multiple source streaming data processing and integration
   -

   Virtualisation and visualisation of Big Data
   -

   Novel programming models and platforms such as MapReduce or Spark for
   Big Data
   -

   Security and privacy in Big Data processing
   -

   Green, energy-efficient models and sustainability issues for Big Data
   -

   Innovative Cloud infrastructure for Big Data
   -

   Wireless and mobility support in for Big Data
   -

   Scalable software platforms for fast Big Data analytics on heterogeneous
   and hybrid architectures
   -

   Big Data applications on heterogeneous architectures such as healthcare,
   surveillance and sensing, e-commerce, and etc.



*Submission Instructions *

Before submitting your manuscript, please ensure you have carefully read
the Instructions for Authors <http://www.computer.org/web/tbd/author> for *IEEE
Transactions on Big Data *(TBD). The complete manuscript should be
submitted through TBD’s submission system
<https://mc.manuscriptcentral.com/tbd-cs>. To ensure that you submit to the
correct special issue, please select the appropriate section in the
drop-down menu upon submission. In your cover letter, please also clearly
mention the title of the SI.



*Important Dates*

   -

   30/01/2016                  Paper submission due
   -

   30/03/2016                  1st round review due
   -

   15/05/2016                  1st revision due
   -

   15/06/2016                  2nd round review due
   -

   15/07/2016                  2nd revision due
   -

   30/07/2016                  Final due



*Guest Editors*

A/Prof. Jinjun Chen, Jinjun.Chen at gmail.com, University of Technology
Sydney, Australia

A/Prof. Honggang Wang, hwang1 at umassd.edu, UMass Dartmouth, USA

Prof. Manish Parashar, parashar at rutgers.edu, Rutgers, The State University
of New Jersey
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