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Publications associées (70)

Online indexing and distributed querying model-view sensor data in the cloud

As various kinds of sensors penetrate our daily life (e.g., sensor networks for environmental monitoring, GPS for localization and navigation), the efficient management of massive amount of sensor data becomes increasingly important at present. Many sensor ...

Springer-Verlag Berlin2014

Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud

Karl Aberer, Tian Guo

As the number of sensors that pervade our lives increases (e.g., environmental sensors, phone sensors, etc.), the eﬃcient management of massive amount of sensor data is becoming increasingly important. The inﬁnite nature of sensor data poses a serious chal ...

2014

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Rachid Guerraoui, Anne-Marie Kermarrec

The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a ...

Assoc Computing Machinery2014

Accelerating Spatial Range Queries

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Alexandros Stougiannis

It is increasingly common for domain scientists to use computational tools to build and simulate spatial models of the phenomena they are studying. The spatial models they build are more and more detailed as well as dense and are consequently difficult to ...

2013

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

NoDB: Efficient Query Execution on Raw Data Files

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

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

NoDB in Action: Adaptive Query Processing on Raw Data

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Ioannis Alagiannis

As data collections become larger and larger, users are faced with increasing bottlenecks in their data analysis. More data means more time to prepare the data, to load the data into the database and to execute the desired queries. Many applications alread ...

VLDB Endowment2012

Data Models and Query Languages for Linked Geospatial Data

Manolis Karpathiotakis

The recent availability of geospatial information as linked open data has generated new interest in geospatial query processing and reasoning, a topic with a long tradition of research in the areas of databases and artificial intelligence. In this paper we ...

2012

AFFINITY: 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 this ...

2012

Jet: An Embedded DSL for High Performance Big Data Processing

Martin Odersky, Tiark Rompf, Vojin Jovanovic, Stefan Ackermann

Cluster computing systems today impose a trade-off between generality, performance and productivity. Hadoop and Dryad force programmers to write low level programs that are tedious to compose but easy to optimize. Systems like Dryad/LINQ and Spark allow co ...

2012

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