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

2018年4月18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《eSplash: Efficient Speculation in Large Scale Heterogeneous Computing Systems》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.

In this work, we aim to develop an efficient speculation framework for a heterogeneous cluster. Speculation is a common mechanism that identifies ‘slow’ node in a cluster and starts redundant tasks on other nodes to guarantee the reliability. We consider MapReduce/Hadoop as a representative computing platform, and our general goal is to accurately and quickly identify the straggler nodes during the job execution. On the one hand, our approach significantly reduces unnecessary speculative executions that occupy system resources, but do not get finished. On the other hand, when a node is prone to failure, our solution is able to detect it at an early stage and effectively launch a speculative task to avoid the delay in the job execution. We implement our solution in Hadoop platform and evaluate it with extensive experiments. The results show that our solution is efficient and effective when handling the speculative execution. The job execution time in our system is superior to that in the current Hadoop distribution.

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。