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

Strategy Day of the Department 19.5. in Vuosaari

A hundred department members attended the department’s strategy seminar in sunny Vuosaari this year.   The event’s discussion topics included the transfer to the new faculty structure and new branches of research.

 

 

More details about the seminar  (Sasu's PP presentation).

The Department of Computer Science is a leading unit in its field

The Department of Computer Science is a leading unit in its field based on international rankings. The Department has the first position in Finland and third in the Nordic countries in the QS World University Rankings 2017. The Department has the first position in the Nordic Countries in the Times Higher Education 2017 Rankings. 

ZDNet wrote on the Ubispark project

ZDNet wrote on Feb 21st on the Ubispark project of the Department of Computer Science, University of Helsinki.

A smartphone today packs more computing power than the computers used by NASA in the Apollo space program. At the same time, the Internet of Things is bringing connectivity to a growing number of devices, from smart TVs to fridges. Now researchers at Finland's University of Helsinki want to harness all these computational resources in a project called Ubispark, which uses smart devices for energy-efficient distributed computing.

Professor Sasu Tarkoma is promoter of corporate collaboration of 2016

This University of Helsinki prize was awarded for the first time ever.

Sasu Tarkoma, professor of computer science, has been exemplary in promoting collaboration between the University of Helsinki and the corporate world, the university states as the reasoning behind the prize.

He has brought the university new funding through corporate collaboration, and has opened up new avenues in teaching and open data. In addition, Professor Tarkoma participates in university-based startup work, says Vice-Rector Pertti Panula, who gave away the prize.

It’s a joy to collaborate with the industries. I believe that it’s a win-win for both parties, both the university and the corporations. The secret to success is the good teamwork, and I have had the fortune to work with good teams, said Tarkoma in his thank-you speech.

Left-right: Maarit Haataja, Sasu Tarkoma, Antti Neimala, Pertti Panula