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CFP: The 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-19) - Rotorua, New Zealand,5-8 August 2019

From: zhou <zhou@biwako.shiga-u.ac.jp>
Date: Fri, 15 Mar 2019 15:36:56 +0000
To: "irma-l@irma-international.org" <irma-l@irma-international.org>, "om-announce@openmath.org" <om-announce@openmath.org>, "security@fosad.org" <security@fosad.org>, "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <CAGNjhTR7AgTc7BxjLq75Wti-=7DspShb+R2Gw-GiaOkNjyukog@mail.gmail.com>

[Our apologies if you receive multiple copies of this CFP]
The 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-19)
Rotorua, New Zealand,5-8 August 2019

Big data is an emerging paradigm applied to datasets whose size is beyond the ability
of commonly used software tools to capture, manage, and process the data within a tolerable
elapsed time. Such datasets are often from various sources (Variety) yet unstructured
such as social media, sensors, scientific applications, surveillance, video and image archives,
Internet texts and documents, Internet search indexing, medical records, business transactions
and web logs; and are of large size (Volume) with fast data in/out (Velocity). More importantly,
big data has to be of high value (Value) and establish trust in it for business decision
making (Veracity). Various technologies have been proposed to support the handling of big data
such as massively parallel processing databases, scalable storage systems, cloud computing
platforms, and MapReduce. Big data is more than simply a matter of size. It is an opportunity
to find insights in new and emerging types of data and content, to make business more agile,
and to answer questions that were previously considered beyond our reach.

The 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-19)
will be held in Rotorua, New Zealand during August 5th - August 8th, 2019. IEEE BigDataSE aims
to provide an international forum for presenting and discussing emerging ideas and trends in
Big Data from both of the academia and industry.

Topics of interest include, but are not limited to:

• Systems, models, standards, algorithms and applications for Big Data
• Big Data mining and analytics
• Big Data Infrastructure, MapReduce and Cloud Computing
• Big Data visualization
• Big Data semantics, scientific discovery and intelligence
• Security, privacy, trust, and legal issues to big data
• Large data stream processing and incremental datasets on cloud
• Distributed and federated datasets
• NoSQL data stores and DB scalability
• Big Data placement, scheduling, and optimization
• Distributed file systems for Big Data
• MapReduce for Big Data processing, resource scheduling and SLA
• Performance characterization, evaluation and optimization
• Simulation and debugging systems and tools for Big Data
• Storage and computation management of Big Data
• Large-scale big data workflow management
• Sensor network and social network for Big Data
• Edge processing and intelligence for Big Data

Submitted papers must not substantially overlap with papers that have been published or that are
simultaneously submitted to a journal or a conference with proceedings. All papers need to be
submitted electronically through the conference submission website (https://edas.info/N25994)
with PDF format. The materials presented in the papers should not be published or under submission
elsewhere. Each paper is limited to 8 pages including figures and references using IEEE Computer
Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm
the IEEE Computer Society Proceedings Author Guidelines at the following web page:
http://www.computer.org/web/cs-cps/. Manuscript Templates for Conference Proceedings can be found at https://www.ieee.org/conferences_events/conferences/publishing/templates.html.

General Chairs:
Sherman Shen, University of Waterloo, Canada
Yaoxue Zhang, Central South University, China
Beniamino Di Martino, University of Campania Luigi Vanvitelli, Italy

TPC Chairs:
Ju Ren, Central South University, China
Shadi Ibrahim, INRIA, France
Xiaokang Zhou, Shiga University, Japan

Steering Committee Chairs:
Jinjun Chen - Swinburne University, Australia (Chair)
Laurence T. Yang - St Francis Xavier University, Canada (Chair)
Stephen Crago - University of Southern California, USA
Schahram Dustdar - Vienna University of Technology, Austria
Ian Foster - Argonne National Laboratory, USA
Geoffrey Fox - Indiana University, USA
Minyi Guo - Shanghai Jiaotong University, China
Francisco Herrera - University of Granada, Spain
Manish Parashar - Rutgers University, USA
Jian Pei - Simon Fraser University, Canada
Jie Wu - Temple University, USA
Albert Zomaya - The University of Sydney, Australia

Paper Submission Deadline:        1 April, 2019
Authors Notification:                     30 April, 2019
Camera-Ready Paper Due:          20 May, 2019
Early Registration Due:                20 May, 2019
Conference Date:                         5-8 August, 2019

Xiaokang Zhou (周 暁康), Ph.D.

Faculty of Data Science,
The Center for Data Science Education and Research, Shiga University
1-1-1 Banba, Hikone, Shiga 522-8522, Japan
Email: zhou@biwako.shiga-u.ac.jp<mailto:zhou@biwako.shiga-u.ac.jp>
Phone: +81-749-27-1290
Received on Friday, 15 March 2019 15:37:57 UTC

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