Join us for an insightful presentation by Professor Viktor Leis, Chair for Decentralized Information Systems and Data Management at TUM. In this talk, he will discuss his research on custom, DBMS-optimized OS kernels enabled by the cloud and the database-as-a-service model. Professor Leis will explore the unique architecture of unikernels, their benefits, and the potential to innovate beyond traditional POSIX APIs, paving the way for high-performance cloud-native data processing systems.

Title: Co-Designing Database Systems and Unikernels for the Cloud: Reimagining OS Abstractions for Modern Hardware

Time: 02/26(Wed) 13:00-14:00 (UTC+00:00)London

External: https://app.huawei.com/wmeeting/join/95782338/yQcNRQsi55jNG8jTpgVBrGHP7OyTgNi8k

Location: Edinburgh research Center Meeting Room 1

Meeting ID: 95782338

Passcode: 915719

Registration: https://www.smartsurvey.co.uk/s/3N8U7J/

Abstract:

Although the idea of custom, DBMS-optimized OS kernels is old, it is largely unrealized due to the demands of hardware compatibility and the reluctance of users to install specialized operating systems. However, the cloud and the database-as-a-service model make custom OS kernels realistic for the first time. Among specialized OS kernel architectures, unikernels stand out for relying on a single address space, eliminating the need for costly process isolation that is provided by general-purpose operating systems. They offer benefits such as the elimination of system call overhead, direct access to hardware, and reduced complexity. Beyond these immediate advantages, unikernels offer a unique opportunity: the possibility to revisit dated POSIX APIs. By allowing direct interaction with modern hardware primitives, unikernels pave the way for the development of novel abstractions that are not confined to the limitations of older APIs, opening doors to a new era of co-designed, high-performance cloud-native data processing systems and OS kernels.

Bio:

Viktor Leis is a professor in the Computer Science Department at TUM, leading the chair for Decentralized Information Systems and Data Management. His research revolves around designing cost-efficient data systems for the cloud and includes core database systems topics such as query processing, query optimization, transaction processing, index structures, and storage. He contributed to the development of the main-memory database system Hyper (acquired by Tableau/Salesforce) and the NVMe-optimized storage engine LeanStore. Viktor Leis earned his doctoral degree from TUM in 2016 and was a professor at the universities in Jena and Erlangen before returning to TUM in 2022. His work has been recognized with the ACM SIGMOD dissertation award, the VLDB Early Career Research Contribution Award, and an ERC Starting Grant.

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