PVLDB 2020: “A system design for elastically scaling transaction processing engines in virtualized servers”

The paper “A system design for elastically scaling transaction processing engines in virtualized servers” by Angelos Christos Anadiotis, Raja Appuswamy, Anastasia Ailamaki, Ilan Bronshtein, Hillel Avni, David Dominguez-Sal, Shay Goikhman and Eliezer Levy has been accepted for publication in the Industrial track of PVLDB 2020.

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Yanlei featured on SIGMOD Blog post on Data Exploration

Data exploration has changed in recent years due to the increasing gap between the amount of data available and the limited human ability to comprehend data as well as the emerging trend for data democratization. Melanie Herschel and Yannis Velegrakis interviewed Sihem Amer-Yahia (CNRS Research), Rick Cole (Tableau Software), Gautam Das (University of Texas, Arlington), Yanlei Diao …

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