报告题目：ScalaGiST: Scalable Generalized Search Trees for MapReduce Systems

报 告 人：李婧

报告时间：2016年03月23日 下午 2:00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：    

MapReduce has become the state-of-the-art for data parallel processing. Nevertheless, Hadoop, an open-source equivalent of MapReduce, has been noted to have sub-optimal performance in the database context since it is initially designed to operate on raw data without utilizing any type of indexes. To alleviate the problem, we present ScalaGiST – scalable generalized search tree that can be seamlessly integrated with Hadoop, together with a cost-based data access optimizer for efficient query processing at run-time. ScalaGiST provides extensibility in terms of data and query types, hence is able to support unconventional queries in MapReduce systems, and can be dynamically deployed in large cluster environments for handling big users and data.

报告题目：Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques

报 告 人：杨庆

报告时间：2016年03月23日 下午 2:00

报告地点：贵州大学北校区博学楼603室

报告内容摘要：  

The ability to estimate resource consumption of SQL queries is crucial for a number of tasks in a database system. Recent work has explored the use of statistical techniques for resource estimation in place of the manually constructed cost models used in query optimization. However, the proposed approaches lack robustness. Our approach aims to address this problem by combining knowledge of database query processing with statistical models.