Towards a Solution to the Red Wedding Problem

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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

Data-Driven Privacy Indicators

Karl Aberer, Hamza Harkous, Rameez Rahman

Third party applications work on top of existing platforms that host users’ data. Although these apps access this data to provide users with specific services, they can also use it for monetization or profiling purposes. In practice, there is a significant ...

2016

From Massive Parallelization to Quantum Computing: Seven Novel Approaches to Query Optimization

Immanuel Trummer

The goal of query optimization is to map a declarative query (describing data to generate) to a query plan (describing how to generate the data) with optimal execution cost. Query optimization is required to support declarative query interfaces. It is a co ...

EPFL2016

An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Christoph Koch, Immanuel Trummer

Query plans offer diverse tradeoffs between conflicting cost metrics such as execution time, energy consumption, or execution fees in a multi-objective scenario. It is convenient for users to choose the desired cost tradeoff in an interactive process, dyna ...

2015

Integrated Microfluidic Power Generation and Cooling for Bright Silicon MPSoCs

David Atienza Alonso, Arvind Raj Mahankali Sridhar, Mohamed Mostafa Sabry Aly

The soaring demand for computing power in our digital information age has produced as collateral undesirable effect a surge in power consumption and heat density for computing servers. Accordingly, 30-40% of the energy consumed in state-of-the-art servers ...

IEEE/ACM Press2014

Dynamic Fine-Grained Scheduling for Energy-Efficient Main-Memory Queries

Anastasia Ailamaki, Danica Porobic, Pinar Tözün, Iraklis Psaroudakis, Erietta Liarou

Power and cooling costs are some of the highest costs in data centers today, which make improvement in energy efficiency crucial. Energy efficiency is also a major design point for chips that power whole ranges of computing devices. One important goal in t ...

2014

Ground temperature modelling: The case study of Rue des Maraîchers in Geneva

Jean-Louis Scartezzini, Jérôme Henri Kämpf, Govinda Upadhyay

This paper presents a methodology to approximate the urban heat island effect by using a PostgreSQL database and CitySim software, a simulation tool to evaluate urban energy flows. A ground temperature model has been developed for shallow depths (until 4m) ...

EuroGraphics Digital Library2014

Adaptive Query Processing on RAW Data

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

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

Widgets and Spaces : Personal & Contextual Portability and Plasticity with OpenSocial

Evgeny Bogdanov

Social media platforms are created and exploited for various activities carried out individually or collaboratively and relying on different resources and tools. Social media platforms are inherently contextual; the context being defined as a specific acti ...

EPFL2013

GIPSY: Joining Spatial Datasets with Contrasting Density

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Mirjana Pavlovic

Many scientific and geographical applications rely on the efficient execution of spatial joins. Past research has produced several efficient spatial join approaches and while each of them can join two datasets, the problem of efficiently joining two datase ...

2013