Graphs are now ubiquitous as many applications emerge where the relationships among entities are paramount and require being modeled as first-class objects. Graph database systems empower such applications by enabling querying and processing both the data stored on the graph and its topology, and they have gained significant attention both in industry and academia. The graphs used in many modern applications are not static and not fully available for analysis; rather the graph vertices and edges are streamed, and the graph “emerges” over time. These are called streaming graphs. Processing and analyzing streaming graphs are challenging, because the difficulties of streaming combine with the complexities of graph processing. In this talk, I have two objectives. First is the introduction and positioning of the problem and the environment. The second is to highlight some of our recent work in this area within the context of s-Graffito project.

简历

M. Tamer Özsu是加拿大滑铁卢大学计算机系教授，滑铁卢大学的“学校教授”（University Professor），2014年至2016年间曾担任滑铁卢大学数学学院副院长。由于其在分布式和并行数据库系统中的卓越学术贡献，他当选为加拿大皇家学会的会士(Fellow)、美国科学促进会(AAAS)的会士(Fellow)、国际计算机学会(ACM)的会士(Fellow)、国际电气电子工程师协会(IEEE)的会士(Fellow)。他曾经是多个顶级国际数据库期刊(例如 VLDB Journal)的主编。在2001年-2005年，他是ACM数据库领域专业委员会(ACM SIGMOD)的主席。他所编写的教材《分布式数据库系统原理(Principles of Distributed Database System)》是分布式数据领域的经典教材，第三版于2011年出版。该书的第二版中文版由清华出版社2002年出版。

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