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

[DB Seminar] Fall 2019 DB Group: Gustavo Angulo

Speaker:

Gustavo Angulo

Gus will present this paper in this meeting: Title: How I Learned to Stop Worrying and Love Re-optimization, Arxiv 2019 Read More

[DB Seminar] Fall 2019 DB Group: Dongsheng Yang

Speaker:

Dongsheng Yang

Dongsheng will present this paper in this meeting: Title: An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning: SIGMOD 2019 Read More

Fall 2019: Vagelis Papalexakis (UC Riverside)

Speaker:

Vagelis Papalexakis

Tensors and tensor decompositions have been very popular and effective tools for analyzing multi-aspect data in a wide variety of fields, ranging from Psychology to Chemometrics, and from Signal Processing to Data Mining and Machine Learning. Using tensors in the era of big data presents us with a rich variety of applications, but also poses great challenges, especially when it... Read More

[DB Seminar] Fall 2019 DB Group: Matt Butrovich

Speaker:

Matt Butrovich

Matt will present this paper in this meeting: Title: Adapting TPC-C Benchmark to Measure Performance of Multi-Document Transactions in MongoDB: VLDB 2019 Read More