Red Hat Collaboratory Colloquium Series: State Machine Replication and the Art of Abstraction, Murat Demirbas, AWS/University at Buffalo, SUNY
Abstract: State Machine Replication (SMR) serves as the backbone of dependable distributed systems, including cloud systems at AWS, Meta, Google, Azure, and renowned databases like DynamoDB, Aurora, Spanner, MongoDB, and CockroachDB. SMR ensures replication of operations across nodes as well as their consistent sequencing using Paxos variants for consensus.
This talk delves into optimizing consensus and refining the SMR abstraction to craft customized high-performance solutions. We spotlight wide-area network and high-throughput SMR solutions, and introduce efficient strategies for performing strongly-consistent reads. We also offer hints for guiding distributed systems design.
Speaker: Murat Demirbas is a Principal Applied Scientist at AWS and a Professor of Computer Science & Engineering at the University at Buffalo, SUNY (on leave). He developed several influential protocols and systems, including hybrid logical clocks, WPaxos, PigPaxos, and PQR. Murat received a National Science Foundation CAREER award in 2008 and School of Engineering and Applied Sciences Senior Researcher of the Year Award in 2016. He maintains a popular blog on distributed systems at http://muratbuffalo.blogspot.com
Lunch will be available
Location
In Person:
Boston University
Photonics Building
8 St. Mary’s Street
Room 210
Boston, MA 02215
Remote Access:
Join Zoom Meeting
https://bostonu.zoom.us/j/91742048411?pwd=SCtiNUhlSzdRaVFHVEEySkZiVnZDQT09
Meeting ID: 917 4204 8411, Passcode: 602302
Check the BU Systems Seminar page for updates
About the Collaboratory: A partnership between Red Hat and Boston University, the Red Hat Collaboratory connects BU faculty and students with industry practitioners working in open-source software communities. The Collaboratory aims to advance research focused on emerging technologies in a number of areas including operating systems, cloud computing services, machine learning and automation, and big data platforms.
