[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

PhD Defense: Huanchen Zhang

Speaker:

Huanchen Zhang

The growing cost gap between DRAM and storage together with increasing database sizes means that database management systems (DBMSs) now operate with a lower memory to storage size ratio than before. On the other hand, modern DBMSs rely on in-memory search trees (e.g., indexes and filters) to achieve high throughput and low latency. These search trees, however, consume a large... Read More

[DB Seminar] Fall 2019 DB Group: Lily Liu

Speaker:

Lily Liu

Lily will present this paper in this meeting: Title: Native Store Extension for SAP HANAConference: VLDB 2019 Read More

[DB Seminar] Fall 2019 DB Group: Stephen Walkauskas (Vertica)

Speaker:

Stephen Walkauskas

System:

Vertica

You wouldn't run your application on the cloud because it is the cool thing to do. You'd run it there because it makes sense to do so. In this talk you'll hear why some of our customers have moved to the cloud while others have not. You'll also learn how we overhauled Vertica's architecture to become one of the few analytics... Read More