美国麻省大学波士顿分校盛博副教授(我校讲座教授)学术报道2

发布日期:2018-05-02 浏览次数: [字体: ]

2018年4月25日下午4点,应计算机学院邀请,Bo Sheng(我院讲座教授) ,an Associate Professor in the Department of Computer Science at University of Massachusetts Boston 在仙林校区明理楼109报告厅做了题为《Orchestrating Wireless Transmissions for Launching Big Data Platforms in an Internet of Things Environment》的学术报告。报告会由计算机学院吉根林教授主持,我校部分教师和研究生聆听了整场报告。

Bo Sheng is currently an Associate Professor in the Department of Computer Science at University of Massachusetts Boston. He received his Ph.D. in computer science from the College of William and Mary, and B.S. from Nanjing University. His research interests include mobile computing, big data, cloud computing, wireless networks, and security.

The emergence of Edge Computing and the success of Internet of Thing and (IoT) has tremendously changed the way we think about data computing. With edge devices changing from data producer to both data producer and consumer, the chance for processing large data sets with Big Data on a cloud of IoT devices is more realistic. In Big Data systems such as Hadoop-Yarn, Spark, Pig, etc., the shuffling stage is by far the most dominant source of network traffic. Unreliable performance of the network could greatly impact the shuffling process. Since IoT devices mostly rely on wireless networks such as 802.11, providing proper throughputs to big data computing system is an important challenge that needs to be addressed. In this work, we argue that a cluster of IoT computers can support big data by considering the information fed by the big data applications. We propose a cross-layer framework that uses the application layer information to guide the packet scheduling at the link layer. We implement our system as an extension module in Hadoop-Yarn system. The experimental evaluation shows significant performance improvement.

报告会后,盛博副教授与现场的老师同学们进行了热烈的交流,并耐心详细地解答了听众的问题。此次报告拓展了大家的视野,也为老师同学们的研究思路提供了很多启示,大家收获颇丰。