Big Data 2.0: Future Data Computing

Guoren Wang, Beijing Institute Of Technology,China

Human beings are moving from the IT era to the DT (data technology) era in which data is the most valuable resource. In terms of Big Data computing, the mainstream computing systems of Big Data represented by Hadoop, Spark and Flink have different programming models and interfaces, which focus on batch or stream tasks respectively. With the development of mobile internet, the traditional cloud computing model has been unable to effectively promote the development of new applications such as smart homes and smart cities. Therefore, mixed batch & stream processing, cross-domain deployments and edge computing will be the development and research trends of the future big data computing.
In this talk, we will first review the traditional big data computing platforms, and introduce their development history, characteristics, advantages and core issues. We then will analyze the challenges and difficulties faced by the traditional cloud computing models from the aspects of batch & stream interactive computing, cross-data center computing and mobile edge computing. We finally propose the development and research trends for future data computing under the era of Big Data 2.0.

Bio: Guoren Wang is currently a professor at Beijing Institute of Technology, a Yangtze River scholar, a recipient of the National Science Fund for Distinguished Young Scholars, a member of the expert review team of the Information Science Department of the National Natural Science Foundation of China, and a vice chair of the Database Technical Committee of the China Computer Federation. Selected as a national candidate for the National Million Talents Project, awarded the honorary title of “Young and Middle-aged Experts with Outstanding Contributions”; Received a total of 10 provincial and ministerial science and technology awards, including the Second Prize of National Science and Technology Progress Award, the First Prize of Science and Technology Progress of Liaoning Province, the Second Prize of Natural Science of Ministry of Education, and the Second Prize of Nature Science of Liaoning Province. His doctoral students won 2 national outstanding paper nomination awards, 2 outstanding doctoral theses in Liaoning Province, and 1 excellent paper of China Computer Federation; the research field is big data management and analysis; and more than 80 papers has been published in important academic conferences and journals such as SIGMOD, VLDB, ICDE, VLDB Journal, IEEE Trans. TKDE and IEEE Trans. TPDS.