计算机系讲座: In-memory Storage and Query Processing for Massive Trajectories

发布时间: 2014-12-22 09:39:00 浏览次数: 供稿：未知

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讲座时间：0000-00-00 00:00:00

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讲座内容

演讲人: 郑凯博士

讲座时间: 12月24日，下午2：00 – 3：30

讲座地点: 信息楼四层学术报告厅

讲座内容:

abstract:

While traditional disk-based database systems still play the majority role as the best practice, in-memory database models became increasingly popular recently in both academia and industry. Simply speaking, in-memory db refers to an entirely new storage model that permanently keeps and processes business data within main memory. Though migrating data from disk to memory avoids the I/O bottleneck and thus can naturally improve the performance, there are still lots of factors and issues that can affect the performance of in-memory query processing, which are of great interest from research perspective. In this collaboration project with SAP, we are exploring the challenges and opportunities of utilising in-memory database (SAP HANA) to store and query large scale moving object trajectories. In this talk, I will introduce our recent progress on this project including framework design, empirical findings and our considerations behind the design. Hopefully it can trigger some discussions and interest on this emerging area.

Bio:

Dr. Kai Zheng is currently a DECRA Researcher with Data and Knowledge Engineering (DKE) group at The University of Queensland (UQ). He received his PhD degree in Computer Science from The University of Queensland in 2012. He has been working in the area of social-media analysis, spatial-temporal databases, uncertain databases, spatial data mining and in-memory database. He has published over 30 papers in top-tier (CCF A) journals and conferences such as SIGMOD, ICDE, EDBT, The VLDB Journal, ACM Transactions and IEEE Transactions. He was the Program Committee Chair of the International Workshop on Human Mobility Computing (HuMoComp) , and the International Workshop on Big Data Management and Service (BDMS) in 2013 and 2014. He also serves on several conference program committees including SIGMOD’15, DASFAA (2014 and 2015), etc. He is on the reviewer board of several prestigious journals such as IEEE TKDE, ACM TODS, VLDB Journal, WWW Journal, KAIS and Geoinformatica.

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