[AISWorld] CFP: Special Issue on Data-Centric Big Services, IEEE Transactions on Services Computing

[Michael Sheng]

Call for Papers
Special Issue on Data-Centric Big Services
IEEE Transactions on Services Computing (TSC)

http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tscsi_dcbs.pdf


As an overwhelming amount of data is being generated at a fast rate 
daily from all sources (e.g., intelligent terminals, Internet-of-Things 
sensors, cloud services, and social network services), it has become 
imperative to rapidly innovate the services computing technologies for 
provisioning data-centric scalable and composable services. These 
services must be efficient and effective in acquiring, storing, 
curating, transforming, analyzing, exploiting, and managing the vast 
amount of diverse data. Timely actionable insights on the Big Data can 
bring unprecedented value and new opportunities that are critical to a 
successful business and/or a prosperous society. The Big Services should 
be provisioned in a way that speeds up data processing, scales up with 
data volume, improves the adaptability and extensibility over data 
diversity and uncertainties, and turns low-level data into actionable 
knowledge towards better understanding and manipulation of the Big Data. 
A Big Service is a managed integration of a massive, complicated series 
of services centered on Big Data. It could comprise of complicated 
business and IT services across multiple network, application, and 
administrative domains via API-defined services and micro-services. A 
Big Service can be a correlative and complicated business in the 
networked virtual and real worlds.

At the dawn of the Big Services era, this special issue aims at 
presenting the latest developments, trends, and research solutions in 
provisioning data-centric Big Services. We seek original and high 
quality submissions related to (but not limited to) one or more of the 
following topics:

* Data-centric service modeling, delivery, evolution, transformation, 
convergence, and collaboration for API-defined Big Services
* Scalable data acquisition, security, privacy, compliance, integration, 
heterogeneity, and integrity management for Big Services
* Quality, dependability, credibility and trustworthiness of Big Services
* Context-aware service composition, operation and recommendation for 
Big Services
* Reasoning over and management of uncertainty in Big Service provisioning

Important Dates

Mar 31, 2016: Deadline for paper submission	
Jun 30, 2016: Initial decision notification
Aug 15, 2016: Revised submissions due	
Sep 30, 2016: Second-round decision notification
Oct 31, 2016: Final decision notification		
Nov 15, 2016: Camera-ready version due		

Submission Guidelines

Your papers should be submitted through the IEEE Transactions on 
Services Computing online system 
(https://mc.manuscriptcentral.com/tsc-cs) and select "SI on Data-Centric 
Big Services". Paper formatting guidelines are available at the journal 
website (http://www.computer.org/tsc). Submitted papers should not have 
been previously published nor be currently under consideration for 
publication elsewhere.

As per IEEE's manuscript review policy for IEEE Transactions, a 
submission will not be sent to the Guest Editors for processing if it 
overlaps significantly with previously published papers. Minor revisions 
of a conference paper will be rejected based upon an automated overlap 
detection process.


Guest Editors

Liang-Jie Zhang, Kingdee International Software Group Company Limited
Michael Sheng, University of Adelaide, Australia
Rong Chang, IBM Research, USA & China
Xiaofei Xu, Harbin Institute of Technology, China

All inquiries about this SI are invited to contact Prof. Michael Sheng 
(michael.sheng at adelaide.edu.au).