大数据是一种应用于数据集的新兴范例，其大小超出了常用软件工具在可容忍的时间内捕获、管理和处理数据的能力。这样的数据集通常来自不同的来源（多样性），但非结构化的，如社会媒体、传感器、科学应用、监视、视频和图像档案、因特网文本和文档、因特网搜索索引、医疗记录、商业交易和Web日志；以及大容量（体积）和快速数据输入/输出（速度）。BDET 2020是与来自世界各地的同事和其他主要国际科学声音进行交流和学习的首要活动，他们积极参与推进研究，提高人们对大数据工程和技术不同领域诸多挑战的认识。科学计划将再次以主旨演讲、口头陈述和海报展示等为特色。最后，我们相信，您将享受BDET 2020框架内为您提供的技术和社会计划，我们期待届时在新加坡与您会面。

投稿截止：2019年11月13日

审稿结果通知时间：2019年11月26日

注册截止时间：2019年12月8日

早鸟注册截止时间：2019年10月25日

会议主题

Big Data standards

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

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

Data Visualization and Visual Analytics

Big Data Algorithms, Applications and Services

Big Data Mining and Analytics

Big Data Processing and Querying

Algorithmic, experimental, prototyping and implementation

Natural Language Processing in Big Texts

Biomedical imaging pre-processing and Analysis

Hardware and Software solutions for Big Data Searching, Storing and Management

Structured and Unstructured Data/Text/Web Mining

Deep Learning architecture, representations, unsupervised and supervised algorithms

Scalable computational intelligence tools

Novel Computational Intelligence approaches for data analysis

Evolutionary and Bio-inspired approaches for Big Data analysis

New domains and novel applications related to Big Data technologies

演讲嘉宾

Prof. Rajkumar Buyya

Fellow of IEEE

Director, Cloud Computing and Distributed Systems (CLOUDS) Laboratory

The University of Melbourne, Australia

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=118, g-index=255, 72,200+ citations). Microsoft Academic Search Index ranked Dr. Buyya as #1 author in the world (2005-2016) for both field rating and citations evaluations in the area of Distributed and Parallel Computing. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Dr. Buyya is recognized as a "2016 Web of Science Highly Cited Researcher" by Thomson Reuters, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to Cloud computing.

Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "2010 Frost & Sullivan New Product Innovation Award". Recently, Dr. Buyya received "Mahatma Gandhi Award" along with Gold Medals for his outstanding and extraordinary achievements in Information Technology field and services rendered to promote greater friendship and India-International cooperation. He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established over 45 years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com.

Prof. Tang Loon Ching

Director, Temasek Defence Systems Institute

National University of Singapore, Singapore

Professor TANG Loon Ching is a Professor at the Department of Industrial & Systems Engineering (ISE) and the Director of Temasek Defence Systems Institute in National University of Singapore (NUS). LC Tang obtained his PhD in the field of operations research from Cornell University in 1992 under the NUS Overseas Scholarship. He has published widely in many leading international journals in the field of IEOM. He was presented the IIE Transactions 2010 Best Application Paper Award and the prestigious Ralph A. Evans/P.K. McElroy Awards for the best paper presented at 2011 Reliability and Maintainability Symposium. The latter award is widely recognized as a hallmark of excellence in the field of reliability and maintenance engineering the first time, and was the first time it went to authors affiliated to an Asian University in its 58-year history. He has been named 2014 IEOM Outstanding Educator by the IEOM Forum. He is an elected Fellow of the International Society of Engineering Asset Management.

LC Tang is the editor of Quality and Reliability Engineering International and has been on the editorial review board of the Journal of Quality Technology, the flagship journal of American Society for Quality, since 2006, among others. He is the main author of the book: Six Sigma: Advanced Tools for Black Belts and Master Black Belts (which won the inaugural Masing Book Prize by International Academy of Quality); and a co-author of Markov-Modulated Processes and Semiregenerative phenomena. He is one of the founding members of Global Ports Research Alliance, IIE Asian Network and the steering committee of Logistics and Maritime Systems Conference Series; and has served as the General Chair of these conference series. Besides being active in the forefront of research in Industrial Engineering and Operations Management, LC Tang has also been engaged as consultant/trainer by many government agencies and MNCs in their enterprise transformation initiatives. To-date, he has trained and mentored more than 60 Master Black Belts and provided training to more than 3000 analysts, engineers and managers, from Singapore, Malaysia, Thailand, Israel, China, USA, Indonesia, India and the Philippines in the areas of Lean Six Sigma, Design for Six Sigma, Engineering Asset Management, Operations Research and Reliability Engineering.