[ecoop-info] CFP:The 9th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE-15)

丁文秀 wxding89 at gmail.com
Thu Oct 23 09:15:40 CEST 2014

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The 9th IEEE International Conference on Big Data Science and Engineering
(IEEE BigDataSE-15)

20-22 August 2015, Helsinki, Finland

Important Dates
Workshop Proposal: February 1, 2015
Submission Deadline: 11:59PM (UTC/GMT+3 hours) March 31, 2015
Authors Notification: May 31, 2015
Final Manuscript Due: July 1, 2015

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 are being discussed 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. Distributed systems is a classical research discipline
investigating various distributed computing technologies and applications
such as cloud computing and MapReduce. With new paradigms and technologies,
distributed systems research keeps going with new innovative outcomes from
both industry and academia. For example, wide deployment of MapReduce is a
distributed programming paradigm and an associated implementation to
support distributed computing over large datasets on cloud. BigDataSE (Big
Data Science and Engineering) is created to provide a prime international
forum for researchers, industry practitioners and environment experts to
exchange the latest fundamental advances in the state of the art and
practice of Big Data and broadly related areas.

BigDataSE 2015 is the next event in a series of highly successful
International Conferences, previously held as BigDataSE2014 (Beijing,
China, September 2014), BigDataSE2013 (Sydney, Australia, December 2013),
BigDataMR-12 (Xiangtan, China, November 2012), AHPCN-12 (Bradford, UK, June
2012), AHPCN-11 (Banff, Canada, September 2011), AHPCN-10 (Melbourne,
Australia, September 2010), AHPCN-09 (Seoul, Korea, June 2009), AHPCN-08
(Dalian, China, September 2008).

Topics of interest include, but not limited to

 - Big Data novel theory, algorithm and applications
 - Big Data standards
 - Big Data mining and analytics
 - Big Data Infrastructure, MapReduce and Cloud Computing
 - Big Data visualization
 - Big Data curation and management
 - Big Data semantics, scientific discovery and intelligence
 - Big Data performance analysis and large-scale deployment
 - Security, privacy, trust, and legal issues to big data
 - Big Data vs Big Business and Big Industry
 - Large data stream processing on cloud
 - Large 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 MapReduce and Big Data
 - Volume, Velocity, Variety, Value and Veracity of Big Data
 - Multiple source data processing and integration with MapReduce
 - Storage and computation management of Big Data
 - Large-scale big data workflow management
 - Mobility and big data
 - Sensor network, social network and big data
 - Big data applications

Submission Guidelines

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. Papers must be clearly presented in English, must not
exceed 8 pages, including tables, figures, references and appendixes, in
IEEE Computer Society proceedings format with Portable Document Format
(.pdf). Please submit your paper at https://comnet.aalto.fi/BDSE2015/sub/.

Papers will be selected based on their originality, timeliness,
significance, relevance, and clarity of presentation. Submission of a paper
should be regarded as a commitment that, should the paper be accepted, at
least one of the authors will register and attend the conference to present
the work. Accepted and presented papers will be included in the IEEE CPS
Proceedings. Distinguished papers presented at the conference, after
further revision, will be recommended to high quality international

Organisation Committee

General Chairs:
Francisco Herrera, University of Granada, Spain
Zheng Yan, Xidian University, China

Program Chair:
Nitesh Chawla, University of Notre Dame, USA
Barbara Hammer, Bielefeld University, Germany

Steering Co-Chairs:
Jinjun Chen, University of Technology Sydney, Australia (Chair)
Laurence T. Yang, St. Francis Xavier University, Canada (Chair)

Publicity Chairs:
Tianrui Li, Southwest Jiaotong University, China
Junze Wang, HUST, China

Workshop Chairs:
Maria José del Jesus, University of Jaén, Spain
Jun Liu, Xi’an Jiaotong University, China
Alvin Chin, Microsoft, China

Local Organizing and Finance Chair:
Raimo Kantola, Aalto University, Finland

Web Chair:
Jesús Llorente Santos, Aalto University, Finland

Steering Committee:
Please see http://comnet.aalto.fi/BDSE2015/
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