Publications de Mehdi Riahi | EPFL Graph Search

OpenIoT: Open Source Internet-of-Things in the Cloud

Karl Aberer, Manfred Hauswirth, Ivana Podnar, Jean Paul Calbimonte Perez, Mehdi Riahi

Despite the proliferation of Internet-of-Things (IoT) platforms for building and deploying IoT applications in the cloud, there is still no easy way to integrate heterogeneous geographically and administratively dispersed sensors and IoT services in a sema ...

Springer2015

Data Management in Participatory Sensing

Mehdi Riahi

In recent years there has been a proliferation of privately owned sensing devices such as GPS devices, cameras, home weather stations and, more importantly, smart-phones. Most of these devices are either intrinsically mobile, e.g., smart-phones and GPS dev ...

EPFL2015

Pattern-wise trust assessment of sensor data

Karl Aberer, Mehdi Riahi, Robert Gwadera

One of the most important tasks of a sensor network (SN) is to detect occurrences of interesting events in the monitored environment. However, data measured by SN is often affected by errors. We investigate the problem of assessing trustworthiness (trust) ...

2014

Utility-driven Data Acquisition in Participatory Sensing

Karl Aberer, Mehdi Riahi, Immanuel Trummer

Participatory sensing (PS) is becoming a popular data acquisition means for interesting emerging applications. However, as data queries from these applications increase, the sustainability of this platform for multiple concurrent applications is at stake. ...

2013

Towards Online Multi-Model Approximation of Time Series

Karl Aberer, Mehdi Riahi

The increasing use of sensor technology for various monitoring applications (e.g. air-pollution, traffic, climate-change, etc.) has led to an unprecedented volume of streaming data that has to be efficiently stored and retrieved. Real-time model-based data ...

IEEE Computer Society2011

Knowing When to Slide: Efficient Scheduling for Sliding Window Processing

Karl Aberer, Ali Salehi, Sebastian Michel, Mehdi Riahi

We consider sliding window query execution scheduling in stream processing engines. Sliding windows are an essential building block to limit the query focus at a particular part of the stream, based either on value count or time ranges. These so called sli ...

IEEE Computer Society2009