[ecoop-info] [ecoop - info] Call for Papers: Workshops for IEEE BigDataService 2017 - Workshop proposal deadline: 15 Jan 2017

Swathi Nuggehalli Sudarshan swathi.nuggehallisudarshan at sjsu.edu
Thu Nov 17 23:06:57 CET 2016

***Please accept our apologies if you receive multiple copies of this CFP***

Call for papers




*URL: **HTTP://BIG-DATASERVICE.NET/ <http://big-dataservice.net/>*

*APRIL 6 – APRIL 8, 2017*






This is call for full paper submission. The deadline is approaching and we
are inviting you to contribute to the conference with your research papers
/ case studies.

This is the *third IEEE International Conference on Big Data* held at* San
Francisco Bay *Area with a vision to create a platform to bring the
international researchers and experts in Software Engineering field to
share their ideas and recent works in the Big data field.

BigData Computing and Services are receiving significant attention
recently. The IEEE BigDataService 2017 conference provides a platform for
researchers and practitioners to exchange innovative ideas, latest research
results, as well as practical experience and lessons learnt on this topic.
Its major interests include big data applications in various domains such
as healthcare, business and financing, education and learning, social
networks and media, smart environment, sensors and Internet of Things as
well as technology aspects such as computing services and architecture,
modeling, data mining and analytics, and databases. The conference will be
co-located with IEEE SOSE 2017, IEEE MobileCloud 2017, and IEEE Crowd
Sourcing 2017.

IEEE BigDataService 2017 will consist of workshops. The conference seeks
the submission of high-quality papers limited to 6 pages (IEEE format) in
length. All accepted papers will be included in the proceedings.

                                      *********************** Workshop 1

1. Workshop on BigData Security and Services : http://big-dataservice.net/

Big Data has been at the heart of the Smart City, the Internet of Things,
and Social Communities, all of which need to offer services, intelligence,
and security. We still need to develop appropriate solutions for the
management of Big Data in a secure way. This workshop aims to discuss
better solutions for the management and security of Big Data, which may
include (1) system design for Big Data Security, (2) state-of-art data
engineering schemes for Big Data Security, (3) service design and use cases
for Big Data Security, and (4) application-oriented security systems for
Big Data.

The workshop topics in Smart City, Big Data, and IoT include, but are
limited to:

   - Data analysis and data applications for security
   - Data models and algorithms for security
   - Privacy management and anonymization
   - Machine learning
   - System design and modeling for security
   - Distributed systems
   - Privacy
   - Cloud computing
   - Cyber security in emergent technologies
   - Big data storage
   - Security in social engineering
   - Big data platforms, such as Spark, Hadoop

*Workshop Organizers*

*Workshop Chairs*

Younghee Park, San Jose State University
Email: younghee.park at sjsu.edu

Hongxin Hu, Clemson University
Email: hongxih at clemson.edu

*Program Committee*

   - Sang-Yoon Chang, University of Colorado at Springs
   - Thomas Austin, San Jose State University
   - Junbeom Hur, Korea University
   - Hyoungshick Kim, Sungkyunkwan University
   - Harold Zheng, Applied Physics Lab. at Johns Hopkins University
   - Weidong Shi, Wayne State University
   - Chungsik Song, San Jose State University
   - Justin Zhan, University of Nevada, Las Vegas
   - Tevfik Kosar, University at Buffalo (SUNY)
   - Youngsoo Kim, San Jose State University
   - Goutam Chakraborty, Oklahoma State University
   - Yuan Hong, University at Albany
   - Jae Hong Park, University of Texas at San Antonio

*********************** Workshop 2 ***********************

2. Workshop on Big Data Applications in Smart City Development: http://big-

A smart city integrates information and communication technologies, as well
as Internet of Things (IoT) solutions to reduce costs and resource
consumption, enhance performance, and connect and engage more effectively
and actively with its citizens. This vast and semi-structured collection of
city and citizen-related data provides many opportunities for the
development of smart city applications building on big data technologies.

The workshop topics in Smart City, Big Data, and IoT include, but are
limited to:

   - Smart and connected communities
   - Big Data and Urban Data Analytics
   - Social Computing and Networks for Smart Cities
   - Urban planning and development
   - Smart city governance
   - Cloud Computing and Network Infrastructure for Smart Cities
   - Intelligent Transport Systems and Traffic Management
   - Clean Cities
   - Smart Sensors and Measurement Systems
   - Internet of Things for Smart Cities
   - Intelligent Buildings
   - Frameworks and models for Smart City Initiatives
   - Safety, Security, and Privacy
   - Case Studies and Innovative Applications

*Program Committee Chair *

Magdalini Eirinaki, San Jose State University
Email: magdalini.eirinaki at sjsu.edu

                                       *********************** Workshop 3

3. Workshop on Big Data Quality Assurance: http://big-dataservice.net/

With the increase of big data applications in diverse application fields,
big data computing and application service is becoming a very hot topic
among academic researchers, industry practitioners, and government
agencies. As more big data and application systems are gradually used in
different application domains (such as business, healthcare,
transportation, environment monitor and assessment, and smart city
development), big data quality and quality assurance of big data
application service systems become very important and critical. Based on
recent reports, it has been estimated that erroneous data costs US
businesses 600 billion dollars annually. This workshop will focus on the
subject of quality assurance issues and challenges for big data and
application service systems. There are emergent needs for research problems
and directions on this subject in terms of quality control models,
automation validation methods, approaches, and service platforms as well as
TaaS (Testing-as-a-service) and other novel test automation techniques. We
invite original papers from both academia and industry

Topics of interest include:

   - Data quality models and evaluation metrics
   - Quality assurance for big data applications
   - Big data validation methods
   - Big data quality management governance
   - Standards and processes for big data
   - Big data application quality assurance
   - Adequacy testing and coverage analysis for big data applications
   - Big data quality validation and automation
   - Quality models and metrics for big data applications
   - Big data-based security testing
   - Big data-based bug detection, validation, prediction
   - Data-driven intelligent validation methods and tools
   - Big data quality management, economics, and test billing model
   - Software test automation in big data applications
   - Experiments, empirical studies and experience reports for big data
   test automation

*Workshop Co-chairs:*

Jerry Gao (jerry.gao at sjsu.edu), San Jose State University, USA
Hong Zhu (hzhu at brookes.ac.uk), Oxford Brookes University, UK
Chuanqi Tao (taochuanqi at njust.edu.cn), Nanjing University of Computer
Science and Engineering, China

*Important dates:*

January 15, 2017 - Submission
February 6, 2017 - Notification
February 15, 2017 - Final version deadline
Feb. 28, 2017 - Registration

*Submission Information*

Papers must be written in English. An electronic version (Postscript, PDF,
or MS Word format) of the full paper should be submitted using the
following URL: https://easychair.org/conferences/?conf=

Manuscript must include a 200-word abstract and no more than 6 pages of
2-column formatted Manuscript for Conference Proceedings (include figures
and references but exclude copyright form). Authors must follow IEEE
Proceedings Author Guidelines to prepare papers with the template All
papers must be prepared in the IEEE double column proceedings format.
Please see http://www.ieee.org/conferences_events/conferences/publishing/
templates.html. Each paper will be reviewed by at least three TPC members.
. At least one of the authors of each accepted paper is required to pay
full registration fee and present the paper at the workshop in person.

We respect the works inspired by practical studies with real world
interactions because this workshop provide an exchange platform for
researchers and practitioners to discuss real issues, lessons, and
innovative ideas and on-going research work relating data quality and

The accepted papers will be published as the part of IEEE BigDataService
2017 Proceedings by IEEE CPS and included inside IEEE Xplore digital
library. The workshop program will be included as a part of IEEE
BigDataService 2017 program. The selected papers with extensions will be
recommended for publication in SCI Index and EI Index Journals.

If you have any questions, please contact: jerry.gao at sjsu.edu


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