日本データベース学会の皆さま いつもお世話になっております． 京都大学の馬です． VLDB2020 RoundTable ３（session 19r) （ https://vldb2020.org/program_flat.html?s=19r ) で開催される日中DB交流会はいよいよ 明日（9月2日）午後3時からスタートします． 奮ってご参加ください． Slackチャンネルも用意しておりますので，こちらもご利用ください． https://vldb2020.org/program.html の一番上に Slack のサインアップの リンクがありますので，サインアップお願いします． よろしくお願いします． ---- MA Qiang (馬 強） 京都大学大学院情報学研究科 Graduate School of Informatics, Kyoto University ---- 2020年8月26日(水) 16:28 馬強 <qiang@i.kyoto-u.ac.jp>:
日本データベース学会の皆様
いつもお世話になっております。 京都大学の馬です。
VLDB 2020東京において、日中のデータベースコミュニティの 交流セッションを開催します。 DBSJ会長喜連川先生やCCF-DB主任のZhanhui Li先生の話のほか， アリババのFeifei Li氏や筑波大学の森嶋先生の最新研究成果について聞けます！ VLDB 2020の参加者なら誰でも参加できます！ VLDBの参加登録と日中DB交流セッションへのご参加をよろしくお願いします．
----- Session 19r (15:00-17:00 JST) https://vldb2020.org/program_flat.html?s=19r RoundTable R3: Japan-China Collaboration
Program: 15:00-15:10 Opening Remarks, DBSJ Activities. Masaru Kitsuregawa, President of DBSJ 15:10-15:20 Opening Remarks, CCF-DB Activities Zhanhui Li, Director of CCF-DB
15:20-15:30 Break
15:30-16:10 Invited Talk 1, Chair: Masaru Kitsuregawa Title: Cloud Native Database Systems for Enterprise Applications Speaker: Feifei Li, Vice President of Alibaba Group Abstract: Cloud native database becomes increasingly important for the era of cloud computing, due to the needs for elasticity and high availability. A cloud native database system leverages software-hardware co-design to explore accelerations offered by new hardware such as RDMA and NVM. New design architectures such as shared-storage and shared- everything enable a cloud-native database to decouple computation from storage and provide elasticity. For highly concurrent workloads that require horizontal scalability, a cloud native database can also leverage a shared-nothing layer to provide distributed query and transaction processing. Cloud applications also require that cloud native databases to offer high availability through distributed consensus protocols. Furthermore, The need for integrating big data processing workloads with a traditional OLAP data warehouse inside a cloud native database/data warehouse becomes increasingly imperative, so that the system can provide both real-time online interative analytics and batched offline ETL with complex computation. We will present the key technical ideas towards building cloud native database systems and the application and integration and big data and AI techniques in such systems. Bio: Feifei Li is currently a Vice President of Alibaba Group, ACM Distinguished Scientist, President of the Database Products Business Unit of Alibaba Cloud Intelligence, and Director of the Database and Storage Lab of DAMO academy. He has won multiple awards from ACM and IEEE. He is a recipient of the ACM SoCC 2019 Best Paper Award (runner-up), IEEE ICDE 2014 10 Years Most Influential Paper Award, ACM SIGMOD 2016 Best Paper Award, ACM SIGMOD 2015 Best System Demonstration Award, IEEE ICDE 2004 Best Paper Award. He has been an associate editor, PC co-chairs, and core committee members for many prestigious journals and conferences, and has led the R&D efforts of cloud native database systems and products at Alibaba.
16:10-16:20 Break
16:20-17:00 Invited Talk 2, Chair: Guoliang Li Title: People, AI, Data and the Future of Work: Computational Division of Labor with CyborgCrowd Speaker: Atsuyuki Morishima, Professor of University of Tsukuba Abstract: JST CREST CyborgCrowd Project is a Japanese government funded project that started in Dec. 2016 to extend crowdsourcing technologies to deal with hybrid workforce comprising of human and AI-powered machine workers in the new digital knowledge era. The project has two goals: (1) to extend the traditional workforce to include a diverse set of workers, including AI workers and people who were not considered as a part of workforce in the traditional organizations, and (2) to automate the task assignment process and dynamically optimize the assignment in terms of not only employers’ but also workers’ viewpoints. This talk overviews the project and gives the challenges and the current status of the project. Bio: Atsuyuki Morishima is a professor of University of Tsukuba, Japan. His research interests include computational division of labor, data-centric human-machine computations, data integration and digital libraries. Currently, he is an associate editor of the VLDB Journal, and an steering committee member of ICADL, DASFAA, and ACM/IEEE JCDL. He is the leader of JST CREST CyborgCrowd Project and the representative of the Crowd4U initiative. He has been involved in many real-world crowdsourcing projects on digital libraries, digital archives, natural disaster responses and smart cities. He received international and domestic awards including the second-runner-up for the ACM SIGMOD 2001 best paper award, the 2004 IPSJ best paper award, the CAiSE 2015 best paper award and the 2018 Emerald Literati Award. In the past, he served as the chair of SIG-DBS of the Information Processing Society of Japan, and a steering committee member of ACM SIGMOD Japan Chapter. He served as a track chair in ACM CIKM 2008 and program co-chairs in ICADL 2016 and JCDL 2019.
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---- MA Qiang (馬 強） 京都大学大学院情報学研究科 Graduate School of Informatics, Kyoto University ----