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Publications associées (14)

Micro-architectural Analysis of Database Workloads

Utku Sirin

Database workloads have significantly evolved in the past twenty years. Traditional database systems that are mainly used to serve Online Transactional Processing (OLTP) workloads evolved into specialized database systems that are optimized for particular ...

EPFL2021

Timely and cost-efficient data exploration through adaptive tuning

Matthaios Alexandros Olma

Modern applications accumulate data at an exponentially increasing rate and traditional database systems struggle to keep up. Decision support systems used in industry, rely heavily on data analysis, and require real-time responses irrespective of data siz ...

EPFL2019

Bottom-up method for potential estimation of energy saving measures

François Maréchal, Ivan Daniel Kantor, Anna Sophia Wallerand

Technology and energy saving potentials in the industrial sector are key data that policy-makers rely on to drive decision-making. A literature review reveals a distinct discrepancy between general potential estimation and detailed design studies. The form ...

Elsevier2019

Models and Algorithms in Biological Network Evolution with Modularity

Min Ye

Networks are commonly used to represent key processes in biology; examples include transcriptional regulatory networks, protein-protein interaction (PPI) networks, metabolic networks, etc. Databases store many such networks, as graphs, observed or inferred ...

EPFL2017

Program Analysis and Compilation Techniques for Speeding up Transactional Database Workloads

Mohammad Dashti Rahmat Abadi

There is a trend towards increased specialization of data management software for performance reasons. The improved performance not only leads to a more efficient usage of the underlying hardware and cuts the operation costs of the system, but also is a ga ...

EPFL2017

NoDB: Efficient Query Execution on Raw Data Files

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

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

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

Query management system and engine allowing for efficient query execution on raw details

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

A database system maintains a feature set of a modern database system while operating directly on raw data files. Systems may use an adaptive indexing mechanism that maintains positional information to provide efficient access to raw data files, a flexible ...

2014

A FFINITY: Efficiently Querying Statistical Measures on Time-Series Data

Karl Aberer, Saket Sathe

Computing statistical measures for large databases of time series is a fundamental primitive for querying and mining time-series data [1]–[6]. This primitive is gaining importance with the increasing number and rapid growth of time series databases. In thi ...

IEEE2013

Meet the Walkers: Accelerating Index Traversals for In-Memory Databases

Babak Falsafi, Boris Robert Grot, Javier Picorel Obando, Yusuf Onur Koçberber

The explosive growth in digital data and its growing role in real-time decision support motivate the design of high-performance database management systems (DBMSs). Meanwhile, slowdown in supply voltage scaling has stymied improvements in core performance ...

2013

NoDB: Efficient Query Execution on Raw Data Files

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

As data collections become larger and larger, data loading evolves to a major bottleneck. Many applications already avoid using database systems, e.g., scientific data analysis and social networks, due to the complexity and the increased data-to-query time ...

2012

Scalability of write-ahead logging on multicore and multisocket hardware

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis, Radu Ioan Stoica, Manoussos Gavriil Athanassoulis

The shift to multi-core and multi-socket hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommodate simultaneous requests, a multitude of synchronization ba ...

2012

Aether: A scalable approach to logging

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis, Radu Ioan Stoica, Manoussos Gavriil Athanassoulis

The shift to multi-core hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommodate simultaneous requests, a multitude of synchronization barriers serialize ...

2010

Improving OLTP Scalability Using Speculative Lock Inheritance

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis

Transaction processing workloads provide ample request level concurrency which highly parallel architectures can exploit. However, the resulting heavy utilization of core database services also causes resource contention within the database engine itself a ...

2009