DB Seminar [Spring 2020] : Time travel with rr, Mozilla’s lightweight record-and-replay debugger

Speaker:

Wan Shen Lim

Ever tried reproducing intermittent failures by rerunning a test 100 times, or stared at core dumps where a variable was obviously wrong but you couldn't figure out why? Mozilla's rr records test execution with minimal overhead, and provides you with compact and deterministic execution traces that you can replay forwards and backwards in time. In this talk, we'll focus on... Read More

[Spring 2020] Carlo Curino (Microsoft)

Speaker:

Carlo Curino

Machine learning (ML) has proven itself in high-value web applications such as search ranking and is emerging as a powerful tool in a much broader range of enterprise scenarios including voice recognition and conversational understanding for customer support, auto-tuning for videoconferencing, intelligent feedback loops in large-scale sysops, manufacturing and autonomous vehicle management, complex financial predictions, just to name a few.... Read More

[DB Seminar] Spring 2020 DB Group: OtterTune

Speaker:

Dana Van Aken

In this talk Dana will provide an update on running OtterTune at SocGen. Or, how OtterTune will take over the world. Read More

[Spring 2020] DBMS Project Technical Overview

Speaker:

Matt Butrovich

Matt Butrovich will present a technical overview of CMU's new DBMS project. This is for Advanced Database Systems (15-721) course. Read More

Master Thesis Talk: Replicated Training in Self-Driving Database Management Systems

Speaker:

Gustavo Angulo Mezerhane

Self-driving database management systems (DBMSs) are a new family of DBMSs that can optimize themselves for better performance without human intervention. Self-driving DBMSs use machine learning (ML) models that predict system behaviors and make planning decisions based on the workload the system sees. These ML models are trained using metrics produced by different components running inside the system. Self-driving DBMSs... Read More

[PDL/SDI] Fall 2019: Hideaki Kimura (Oracle)

Speaker:

Hideaki Kimura

System:

Oracle

This talk gives an overview of Oracle NVM Direct, an open source implementation of a C API to simplify application development for byte addressable Non Volatile Memory. NVM Direct consists of two major components, namely: A precompiler that converts a source file containing C extensions for NVM to a standard C source file. A runtime library to implement NVM regions,... Read More

[DB Seminar] Fall 2019 DB Group: Shasank Chavan (Oracle)

Speaker:

Shasank Chavan

System:

Oracle

Autonomous / Self-Driving Databases utilize machine learning techniques to eliminate the manual labor associated with database tuning, security, backups, updates, and other routine management tasks traditionally performed by DBAs. This talk will focus specifically on how we implement a self-performing database with Oracle’s Database In-Memory product to automatically tune for query optimization, memory management, and storage management and data tiering.... Read More

[DB Seminar] Fall 2019 DB Group: Mesh: Automatically Compacting Your C++ Application’s Memory

In this DB group meeting, we are going to watch this presentation by Emery Berger on Mesh from PLDI 2019. This is legit.     Read More

[DB Seminar] Fall 2019 DB Group: Transactions and Scalability in Cloud Databases—Can’t We Have Both?

Speaker:

Doug Terry

In this DB group meeting, we are going to watch this presentation by the Amazon AWS group given at FAST 2019.   Read More

[DB Seminar] Fall 2019 DB Group: Huzaifa Abbasi

Speaker:

Huzaifa Abbasi

Huzaifa will present this paper in this meeting: Title: Scalable Garbage Collection for In-Memory MVCC Systems, VLDB 2020 Read More