Object–relational database

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Related publications (29)

Models and Algorithms in Biological Network Evolution with Modularity

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

Dictionary Compression in Point Cloud Data Management

Anastasia Ailamaki, Mirjana Pavlovic

Nowadays, massive amounts of point cloud data can be collected thanks to advances in data acquisition and processing technologies like dense image matching and airborne LiDAR (Light Detection and Ranging) scanning. With the increase in volume and precision ...

2017

Mobility Intentions of Foreign Researchers: The Role of Non-economic Motivations

Stefano Horst Baruffaldi

Recent contributions suggest that non-economic factors could be important motivational drivers of scientific mobility. We investigate this hypothesis in a sample of foreign researchers in Italy and Portugal, examining their willingness to leave the host co ...

Taylor & Francis2016

Toward timely, predictable and cost-effective data analytics

Renata Borovica-Gajic

Modern industrial, government, and academic organizations are collecting massive amounts of data at an unprecedented scale and pace. The ability to perform timely, predictable and cost-effective analytical processing of such large data sets in order to ext ...

EPFL2016

Advancing Analytical Tools to Understand Urban Planning: Mapping Controversies around the Mumbai Development Plan 2014-2034

Luca Giovanni Pattaroni, Christine Lutringer-Gully

The proposed article suggests that urban studies are in need of new tools to describe and analyze the different “regimes of urbanization” in an increasingly heterogeneous urban world. In order to create dynamic and relational descriptions of contemporary c ...

2016

Versatile soft grippers with intrinsic electroadhesion based on multifunctional polymer actuators

Dario Floreano, Herbert Shea, Samuel Rosset, Jun Shintake, Bryan Edward Schubert

A highly versatile soft gripper that can handle an unprecedented range of object types is developed based on a new design of dielectric elastomer actuators employing an interdigitated electrode geometry, simultaneously maximizing both electroadhesion and e ...

Wiley-V C H Verlag Gmbh2016

Scaling Up Concurrent Analytical Workloads on Multi-Core Servers

Iraklis Psaroudakis

Today, an ever-increasing number of researchers, businesses, and data scientists collect and analyze massive amounts of data in database systems. The database system needs to process the resulting highly concurrent analytical workloads by exploiting modern ...

EPFL2016

SABRes: Atomic Object Reads for In-Memory Rack-Scale Computing

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic, Dmitrii Ustiugov

Modern in-memory services rely on large distributed object stores to achieve the high scalability essential to service thousands of requests concurrently. The independent and unpredictable nature of incoming requests results in random accesses to the objec ...

Ieee2016

Energetics and thermodynamics of α-iron from first-principles and machine-learning potentials

Daniele Dragoni

Iron is a material of fundamental importance in the industrial and economic processes of our society as it is the major constituent of steels. With advances in computational science, much progress has been made in the understanding of the microscopic mecha ...

EPFL2016

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