The Carat research team has published a dataset focusing on collaborative energy diagnostics of mobile devices and applications

 

 

The Carat research team from University of Helsinki publishes a dataset from the Carat project (http://carat.cs.helsinki.fi/) focusing on collaborative energy diagnostics of mobile devices and applications. The dataset was presented at the IEEE PerCom’15 conference last spring in the publication "Energy Modeling of System Settings: A Crowdsourced Approach" that won the Marc Weiser Best Paper Award given at the conference.

The dataset contains different smartphone context factors, such as system settings and subsystem variables, and energy rates from 149,788 mobile devices of 2535 different Android models during 2013 and beginning of 2014. In total, there are 11,209,125 data items. They contain, for example, information about Wi-Fi and mobile network usage and quality, screen brightness levels, battery temperature and voltage measurements, and CPU usage. The data can be freely used for research and educational purposes.

 

In our work, we show how combinations of different system settings and subsystem variables can be used to model and predict energy usage of mobile devices. Some system settings have a direct and significant correlation with energy consumption, for example screen brightness and network connectivity. The energy impact of other system settings and their combinations can be much more difficult to predict, such as the combination of roaming, high operating temperature, and bad signal strength. Our work demonstrates that the energy impact of these non-trivial system setting combinations can be significant, and presents a new learning based method for assessing this impact.

Read more about the dataset and our research:

Ella Peltonen, Eemil Lagerspetz, Petteri Nurmi, and Sasu Tarkoma. Constella: Recommending System Settings the Crowdsourced Way. Pervasive and Mobile Computing. To appear 2016.

 

Online http://www.sciencedirect.com/science/article/pii/S1574119215001959

Ella Peltonen, Eemil Lagerspetz, Petteri Nurmi, and Sasu Tarkoma. Energy Modeling of System Settings: A Crowdsourced Approach. In Proceedings of the IEEE International Conference on Pervasive Computing and Communications, PerCom '15, St. Louis, MO, USA, March 23-27, 2015.

 

Online http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7146507

The Carat context factor dataset can be downloaded from our website http://carat.cs.helsinki.fi/#Research
 

 

 

Created date

26.11.2015 - 10:57

The university’s team Game of Nolife won Western European programming contest for students

In the finals in Thailand in spring 2016, the students from the University of Helsinki will face the best teams in the world.

The University of Helsinki has won the inter-university NWERC 2015 programming contest that was held in Linköping recently. It was attended by 95 teams from Western Europe. The Game of Nolife team from the University of Helsinki consisted of computer-science and maths students Tuukka Korhonen, Olli Hirviniemi and Otte Heinävaara.

The Carat research team has published a dataset focusing on collaborative energy diagnostics of mobile devices and applications

 

 

The Carat research team from University of Helsinki publishes a dataset from the Carat project (http://carat.cs.helsinki.fi/) focusing on collaborative energy diagnostics of mobile devices and applications. The dataset was presented at the IEEE PerCom’15 conference last spring in the publication "Energy Modeling of System Settings: A Crowdsourced Approach" that won the Marc Weiser Best Paper Award given at the conference.

Eemil Lagerspetz was awarded a grant by the Jorma Ollila fund of Nokia Foundation on November 24, 2015

 

 
 
Eemil Lagerspetz was awarded a grant by the Jorma Ollila fund of Nokia Foundation on November 24, 2015. Congratulations!
 
The fund was launched in year 2014 to support post doctoral research career development. 
The title of Eemil’s post doctoral research is “Mind The Gap: Combining Trajectory Datasets for a Holistic Picture of Human Mobility” and the research will be carried out at the Hong Kong University of Science and Technology (HKUST) in 2016.
 

Collaborative Networking (CoNe) group researchers got the best paper award at 2nd ACM Conference on Information-Centric Networking (ICN 2015)

 

Collaborative Networking (CoNe) group researchers got the best paper award at 2nd ACM Conference on Information-Centric Networking (ICN 2015), one of the most prestigious venues for ICN research. The article entitled Pro-Diluvian: Understanding Scoped-Flooding for Content Discovery in ICN is lead by Liang Wang - a recent PhD graduate from CoNe research group, and is the outcome of collaboration with Suzan Bayhan and Jussi Kangasharju from UH, Jörg Ott from Aalto University, Arjuna Sathiaseelan and Jon Crowcroft from Cambridge University.