TIME: 12:00 noon - to approximately 2:00 pm EDT
PLACE: Virtual - a zoom link will be emailed closer to the seminar
SPEAKER: Sue K. Lee
Database Architect, Oracle
BIO: Sue is an Architect for the Oracle Database, focusing on resource management. She has spent 20 happy years at Oracle, focusing on workload management and database consolidation. She graduated from MIT with a BS and MS in computer science.
SPEAKER: Akshay Shah
Director of Development, Virtual OS, Oracle
BIO: Akshay is a Director of Development in the Oracle database development organization. Akshay has over 15 years of experience working on the database I/O stack. Akshay and his team are responsible for Oracle Database and Exadata I/O Resource Management, NVMe over Fabrics (NVMe-oF), io_uring, NFS and object storage support for Oracle Database. Akshay holds a M.S. in Information Networking from Carnegie Mellon.
Resource Management in Oracle Cloud Databases
Oracle Database Resource Manager provides end-to-end management of CPU, memory, IOPS, I/O throughput, flash capacity, network and other shared database resources. Cloud administrators can configure Resource Manager to allocate and manage shared resources for each database tenant in a shared cloud. Database administrators can prioritize amongst different workloads running within their tenant database. Resource Manager is instrumental to the success of the Oracle Autonomous Database Cloud Service, where highly-critical OLTP database applications and resource-intensive data warehouses run side-by-side with lower priority development and test databases. This talk will go over the challenges and lessons learned from designing Resource Management policies for the Oracle Autonomous Database Cloud Service.
SPEAKER: Thomas Kim
Backend Engineer/Architect, LayerZero Labs
Design Principles for Replicated Storage Systems Built on Emerging Storage Technologies
In this talk, I present the work I did at CMU building replicated storage systems on new and emerging persistent storage devices.
BIO: Thomas graduated from the CMU CSD PhD program in 2023. He was advised by Dave Andersen and his research focuses on replicated storage systems.
Director, Parallel Data Lab
VOICE: (412) 268-1297
Executive Director, Parallel Data Lab
VOICE: (412) 268-5485
PDL Administrative Manager
VOICE: (412) 268-6716