A Survey of Cloud Database Systems

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               Joint Seminar
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The Hong Kong University of Science & Technology
Department of Computer Science and Engineering
Big Data Institute
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Speaker:Dr. C. Mohan
        Distinguished Visiting Professor (Tsinghua University, China)
        Visiting Researcher (Google, USA)
        Member, Board of Governors (Digital University Kerala, India)
        Advisor (Tamil Nadu eGovernance Agency & Kerala Blockchain Academy, India)
        Retired IBM Fellow (IBM Research, USA)
        Former Shaw Visiting Professor (National University of Singapore)

Title:  "A Survey of Cloud Database Systems"

Date:   Thursday, 24 November 2022

Time:   4:00pm - 5:00pm HKT

Venue:  Room 2303 (via lift 17/18), HKUST

Zoom link:
https://hkust.zoom.us/j/928308079?pwd=ejloVFlRcU5GVTd3QjhtOHhqV2VlZz09

Meeting ID:   928 308 079
Passcode:     2022

Abstract:

In this talk, I will first introduce traditional (non-cloud) parallel and
distributed database systems. Concepts like SQL and NoSQL systems, data
replication, distributed and parallel query processing, and data recovery
after different types of failures will be covered. Then, I will discuss
how the emergence of the (public) cloud has introduced new requirements on
parallel and distributed database systems, and how such requirements have
necessitated fundamental changes to the architectures of such systems. I
will illustrate the related developments by discussing some of the details
of systems like Alibaba POLARDB, Microsoft Azure SQL DB, Microsoft
Socrates, Azure Synapse POLARIS, Google Spanner, Google F1, CockroachDB,
Amazon Aurora, Snowflake and Google AlloyDB.


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Biography:

Dr. C. Mohan is currently a Distinguished Visiting Professor at Tsinghua
University in China, a Visiting Researcher at Google, a Member of the
inaugural Board of Governors of Digital University Kerala, and an Advisor
of the Kerala Blockchain Academy (KBA) and the Tamil Nadu e-Governance
Agency (TNeGA) in India. He retired in June 2020 from being an IBM Fellow
at the IBM Almaden Research Center in Silicon Valley. He was an IBM
researcher for 38.5 years in the database, blockchain, AI and related
areas, impacting numerous IBM and non-IBM products, the research and
academic communities, and standards, especially with his invention of the
well-known ARIES family of database locking and recovery algorithms, and
the Presumed Abort distributed commit protocol. This IBM (1997-2020), ACM
(2002-) and IEEE (2002-) Fellow has also served as the IBM India Chief
Scientist (2006-2009). In addition to receiving the ACM SIGMOD Edgar F.
Codd Innovations Award (1996), the VLDB 10 Year Best Paper Award (1999)
and numerous IBM awards, Mohan was elected to the United States and Indian
National Academies of Engineering (2009), and named an IBM Master Inventor
(1997). This Distinguished Alumnus of IIT Madras (1977) received his PhD
at the University of Texas at Austin (1981). He is an inventor of 50
patents. During the last many years, he focused on Blockchain, AI, Big
Data and Cloud technologies (https://bit.ly/sigBcP,
https://bit.ly/CMoTalks). Since 2017, he has been an evangelist of
permissioned blockchains and the myth buster of permissionless
blockchains. During 1H2021, Mohan was the Shaw Visiting Professor at the
National University of Singapore (NUS) where he taught a seminar course on
distributed data and computing. In 2019, he became an Honorary Advisor to
TNeGA for its blockchain and other projects. In 2020, he joined the
Advisory Board of KBA. Since 2016, Mohan has been a Distinguished Visiting
Professor of China's prestigious Tsinghua University. In 2021, he was
inducted as a member of the inaugural Board of Governors of the new Indian
university Digital University Kerala (DUK). Mohan has served on the
advisory board of IEEE Spectrum, and on numerous conference and journal
boards. In 2022, he became a consultant at Google with the title of
Visiting Researcher. He has also been a Consultant to the Microsoft Data
Team. Mohan is a frequent speaker in North America, Europe and Asia. He
has given talks in 43 countries. He is highly active on social media and
has a huge network of followers. More information can be found in the
Wikipedia page at https://bit.ly/CMwIkP and his homepage at
https://bit.ly/CMoDUK