Publications associées à Moteur de base de données

Hailstorm: Disaggregated Compute and Storage for Distributed LSM-based Databases

Willy Zwaenepoel, Laurent Bindschaedler, Ashvin Goel

Distributed LSM-based databases face throughput and latency issues due to load imbalance across instances and interference from background tasks such as flushing, compaction, and data migration. Hailstorm addresses these problems by deploying the database ...

ACM2020

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

Devis Tuia, Benjamin Alexander Kellenberger

Ecological surveys increasingly rely on large‐scale image datasets, typically terabytes of imagery for a single survey. The ability to collect this volume of data allows surveys of unprecedented scale, at the cost of expansive volumes of photo‐interpretati ...

2020

Interferometric synthetic aperture microscopy for extended focus optical coherence microscopy

Theo Lasser, Paul James Marchand, Arno Pino Bouwens, Jérôme Extermann, Séverine Coquoz

Optical coherence microscopy (OCM) is an interferometric technique providing 3D images of biological samples with micrometric resolution and penetration depth of several hundreds of micrometers. OCM differs from optical coherence tomography (OCT) in that i ...

2017

ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data

Anastasia Ailamaki, Manolis Karpathiotakis, Tahir Azim

As data continues to be generated at exponentially growing rates in heterogeneous formats, fast analytics to extract meaningful information is becoming increasingly important. Systems widely use in-memory caching as one of their primary techniques to speed ...

2017

Adaptive Query Processing on Raw Data Files

Ioannis Alagiannis

Nowadays, business and scientific applications accumulate data at an increasing pace. This growth of information has already started to outgrow the capabilities of database management systems (DBMS). In a typical DBMS usage scenario, the user should define ...

EPFL2015

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Ioannis Alagiannis, Miguel Sérgio De Oliveira Branco, Renata Borovica-Gajic

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare and to load the data into the database before executing the desired queries. Many applications already av ...

Assoc Computing Machinery2015

H2O: A Hands-free Adaptive Store

Anastasia Ailamaki, Ioannis Alagiannis

Modern state-of-the-art database systems are designed around a single data storage layout. This is a fixed decision that drives the whole architectural design of a database system, i.e., row-stores, column-stores. However, none of those choices is a univer ...

2014

Adaptive Query Processing on RAW Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Manolis Karpathiotakis, Ioannis Alagiannis

Database systems deliver impressive performance for large classes of workloads as the result of decades of research into optimizing database engines. High performance, however, is achieved at the cost of versatility. In particular, database systems only op ...

2014

Building Efficient Query Engines in a High-Level Language

Christoph Koch, Ioannis Klonatos, Tiark Rompf, Hassan Chafi

In this paper we advocate that it is time for a radical rethinking of database systems design. Developers should be able to leverage high-level programming languages without having to pay a price in efficiency. To realize our vision of abstraction without ...

2014

From A to E: Analyzing TPC’s OLTP Benchmarks -- The obsolete, the ubiquitous, the unexplored

Anastasia Ailamaki, Pinar Tözün, Ippokratis Pandis, Ilknur Cansu Kaynak, Dorde Jevdic

Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E has already been around for six years, it has not gained the popularity of its predecessor TPC-C: all the published results for TPC-E use a single database ...

2013