[AISWorld] CFP: Journal of Big Data (Springer) Special Issue on Service Provisioning in the Big Data Era

[Michael Sheng]

CALL FOR PAPERS

Journal of Big Data (Springer)
Special Issue on Service Provisioning in the Big Data Era


INTRODUCTION

As an overwhelming amount of data is generated at a faster rate every 
day from all sources, and applications such as cloud services, Web of 
Things (WoT), social network services and intelligent terminals, it has 
become more urgent than ever to design, deploy and provision services 
more wisely so that the provisioned services could support effective 
acquisition, storage, transformation, management and utilization of such 
data. Manipulating and getting the most out of the Big Data can bring 
unprecedented value and new opportunities that are critical to
business success. Services should be ideally provisioned in a way that 
speeds up data processing, scales up with data volume, and improves the 
adaptability and extensibility over data diversity and uncertainties, 
and finally turns low-level data into actionable knowledge towards 
better understanding and manipulation of the Big Data.

Big Data requires services across various domains, heterogeneous 
networks and cyber-physical worlds to be aggregated, interoperated, and 
linked together into a massive and complicated collaborative service 
ecosystem which could in turn handles the challenging issues of Big Data.


TOPICS OF INTEREST

This special issue aims at presenting the latest developments, trends, 
and research solutions of service provisioning in the Big Data era. 
Topics of interests include, but are not limited to:

  * Efficient models and solutions for querying and processing Big Data
  * Service modeling, delivery, deployment and evolution for Big Data
  * Analytic services for Big Data
  * Big Data as a Service
  * Business analytics & Big Data practice
  * Privacy Preserving Big Data analytics and services
  * Linked data and linked services
  * Knowledge discovery over massive datasets
  * Social sensing and social network services
  * Reasoning over uncertain data and unreliable services
  * Mashup services and data integration
  * Crowdsourcing services
  * Web of Things services
  * Service ranking and recommendation for Big Data
  * Credibility of data provisioning services

Articles will benefit from the advantages of open access publication, 
including:

* Rapid publication: Online submission, electronic peer review and 
production make the process of publishing your article simple and efficient.
* High visibility and international readership in your field: Open 
access publication ensures high visibility and maximum exposure for your 
work - anyone with online access can read your article
* No space constraints: Unlimited space for figures, extensive data and 
video footage.
* Authors retain copyright, licensing the article under a Creative 
Commons license: Articles can be freely redistributed and reused as long 
as the article is correctly attributed.


SUBMISSIONS

Before submitting your manuscript, please ensure you have carefully read 
the Instructions for Authors for Journal of Big Data 
(http://www.journalofbigdata.com/authors/instructions). The complete 
manuscript should be submitted through the Journal of Big Data 
submission system (http://www.journalofbigdata.com/manuscript). 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. All submissions 
will undergo rigorous peer review and accepted articles will be 
published within the journal as a collection.

Important Dates

  * Paper submission deadline: 31/05/2015
  * 1st round review due: 15/08/2015
  * 1st revision due: 30/09/2015
  * 2nd round review due: 15/11/2015
  * 2nd revision due: 15/12/2015
  * Final due: 31/12/2015


Guest editors

Michael Sheng, The University of Adelaide, michael.sheng at adelaide.edu.au
Xiaofei Xu, Harbin Institute of Technology, xiaofei at hit.edu.cn
Xianzhi Wang, The University of Adelaide, xianzhi.wang at adelaide.edu.au
Athanasios V. Vasilakos, National Technical University of Athens, 
vasilako at ath.forthnet.gr