Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Shard (database architecture)

Related publications (25)

Adaptive table placement in NUMA architectures

Anastasia Ailamaki, Iraklis Psaroudakis

Techniques and solutions are provided for performing adaptive database table placement in a non-uniform memory access (NUMA) architecture. The adaptive table placement can occur in response to changing workloads on the NUMA nodes. For example, if a particu ...

2022

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

Theory-based scaling laws of near and far scrape-off layer widths in single-null L-mode discharges

Jan Horacek, Paolo Ricci, Holger Reimerdes, Cedric Kar-Wai Tsui, Maurizio Giacomin

Theory-based scaling laws of the near and far scrape-off layer (SOL) widths are analytically derived for L-mode diverted tokamak discharges by using a two-fluid model. The near SOL pressure and density decay lengths are obtained by leveraging a balance amo ...

IOP Publishing Ltd2021

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Nicola Marzari, Giovanni Pizzi, Christoph Leopold Talirz, Nicolas Frank Mounet, Andrea Cepellotti, Leonid Kahle, Fernando Gargiulo, Martin Uhrin, Sebastiaan Philippe Huber, Aliaksandr Yakutovich, Snehal Pramod Kumbhar, Carl Simon Adorf, Francisco Fernando Ramirez, Casper Welzel Andersen, Conrad Johnston, Spyros Zoupanos, Elsa Passaro

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and d ...

2020

Adaptive partitioning and indexing for in situ query processing

Anastasia Ailamaki, Ioannis Alagiannis, Manolis Karpathiotakis, Manoussos Gavriil Athanassoulis, Matthaios Alexandros Olma

The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. To alleviate the loading cost, in ...

SPRINGER2020

A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma

Anthony Christopher Davison, Jörg Hager, Hélène Ruffieux, Radu Popescu

Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large multiplicity burden, which hampers the ...

PUBLIC LIBRARY SCIENCE2020

Efficient Protocols for Enforcing Causal Consistency in Geo-Replicated Key-Value Data Stores

Kristina Spirovska

Modern large-scale data platforms manage colossal amount of data, generated by the ever-increasing number of concurrent users. Geo-replicated and sharded key-value data stores play a central role when building such platforms. As the strongest consistency m ...

EPFL2020

PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

Geo-replicated data platforms are at the backbone of several large-scale online services. Transactional Causal Consistency (TCC) is an attractive consistency level for building such platforms. TCC avoids many anomalies of eventual consistency, eschews the ...

2019

PaRiS: Causally Consistent Transactions with Non-blocking Reads and Partial Replication

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

Geo-replicated data platforms are the backbone of several large-scale online services. Transactional Causal Consistency (TCC) is an attractive consistency level for building such platforms. TCC avoids many anomalies of eventual consistency, eschews the syn ...

IEEE COMPUTER SOC2019

Composite beam effects and implications to seismic design provisions

Dimitrios Lignos, Hammad El Jisr

Previous studies have investigated the slab effects on the cyclic behavior of composite beams in moment-resisting frames. Of interest in this paper, is the slab contribution to the flexural strength and effective stiffness of the beam. The former influence ...

2018

Online parallel coordinates tool for optimal utility design in the dairy industry

François Maréchal, Ivan Daniel Kantor, Maziar Kermani, Anna Sophia Wallerand

Despite commonly reported potentials for emission reduction and efficiency increase, industrial heat pumps have yet to reach wide-scale employment in non-refrigeration appli- cations. The bottlenecks are identified as a general scepticism from process oper ...

2018

Monitoring distributed fragmented skylines

Odysseas Papapetrou

Distributed skyline computation is important for a wide range of domains, from distributed and web-based systems to ISP-network monitoring and distributed databases. The problem is particularly challenging in dynamic distributed settings, where the goal is ...

2018

Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

Transactional Causal Consistency (TCC) extends causal consistency, the strongest consistency model compatible with availability, with interactive read-write transactions, and is therefore particularly appealing for geo-replicated platforms. This paper pres ...

2018

Interleaving with Coroutines: A Practical Approach for Robust Index Joins

Anastasia Ailamaki, Georgios Psaropoulos

Index join performance is determined by the efficiency of the lookup operation on the involved index. Although database indexes are highly optimized to leverage processor caches, main memory accesses inevitably increase lookup runtime when the index outsiz ...

VLDB Endowment Inc.2017

Impact of score fusion on voice biometrics and presentation attack detection in cross-database evaluations

Sébastien Marcel

Research in the area of automatic speaker verification (ASV) has been advanced enough for the industry to start using ASV systems in practical applications. However, these systems are highly vulnerable to spoofing or presentation attacks, limiting their wi ...

2017

Cryogenic Ion Spectroscopy of Peptides and Glycans

Chiara Masellis

Understanding the structure of biomolecules, which are directly related to physiological processes that take place in the human body, has always generated a large interest in the scientific community. In this thesis we focus our attention on two of these c ...

EPFL2017

Just-in-time Analytics Over Heterogeneous Data and Hardware

Manolis Karpathiotakis

Industry and academia are continuously becoming more data-driven and data-intensive, relying on the analysis of a wide variety of datasets to gain insights. At the same time, data variety increases continuously across multiple axes. First, data comes in mu ...

EPFL2017

Entrepreneurial advice sources and their antecedents Venture stage, innovativeness and internationalization

Christopher Tucci, Bettina Lynda Bastian

Purpose - Entrepreneurs interact with others and, through this, benefit from access to knowledge, resources and skills that enhance their own entrepreneurial and organizational capabilities. This paper aims to contribute to the literature interested in ide ...

Emerald Group Publishing Ltd2017

Cheap Data Analytics using Cold Storage Devices

Anastasia Ailamaki, Raja Appuswamy, Renata Borovica-Gajic

Enterprise databases use storage tiering to lower capital and operational expenses. In such a setting, data waterfalls from an SSD-based high-performance tier when it is "hot" (frequently accessed) to a disk-based capacity tier and finally to a tape-based ...

Assoc Computing Machinery2016

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

EPFL2016