Introduction to Succinct by UC Berkeley AmpLab

Topic: Introduction to Succinct by UC Berkeley AmpLab.

"Cloud services today need to perform fast, interactive queries on large data volumes. Several recent studies have shown that data is growing faster than memory capacity, making in-memory query execution increasingly challenging. At UC Berkeley, we have built Succinct, a distributed data store that overcomes this problem by enabling a wide range of interactive queries (e.g., search, random access, range queries, and even regular expressions) directly on compressed data. Besides its ability to execute queries on compressed data, Succinct differs from existing data stores along several dimensions. First, Succinct unifies several powerful data models (key-value stores, document stores, tables, etc.) using a single interface. Second, Succinct enables applications to choose a desired compression factor, allowing applications to use larger memory for improved performance. Finally, Succinct allows applications to change the compression factor on the fly, enabling new approaches to handling skewed query distributions, time-varying loads, and failure tolerance. In this talk, I will describe Succinct's design, implementation and semantics. Succinct is completely open-sourced, and we have also released Succinct as a library that simplifies integration of Succinct data structures and techniques with existing data stores.”

Speaker bio:

"Anurag is a graduate student at AMPLab, UC Berkeley, where he is advised by Prof. Ion Stoica. He co-created Succinct with Rachit Agarwal and Ion Stoica."

You can find more information about the project here: http://succinct.cs.berkeley.edu/wp/wordpress/?p=143

and about Anurag here: http://people.eecs.berkeley.edu/~anuragk/.

Agenda:

6pm – door opens

6pm -- 6:30 pm -- networking + light dinner

6:30 pm – 6:35 pm – Introduction

6:35 pm – 7:35 pm – talks and QA

7:35 pm – 8 pm – networking + closing

8:30 pm -- office closed