Towards a Solution to the Red Wedding Problem

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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) ...

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 ...

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 ...

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 ...

Towards a Solution to the Red Wedding Problem

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Scaling Up Concurrent Analytical Workloads on Multi-Core Servers

Data-Driven Privacy Indicators

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

An Incremental Anytime Algorithm for Multi-Objective Query Optimization

Integrated Microfluidic Power Generation and Cooling for Bright Silicon MPSoCs

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

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

Adaptive Query Processing on RAW Data

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

GIPSY: Joining Spatial Datasets with Contrasting Density