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

Tsinghua Workshop - Strengthen Collaboration with Top Universities in China

 

Together with research teams in Tsinghua University and Hong Kong University of Science and Technology (HKUST), Professor Sasu Tarkoma, Prof. Yong Li, and Prof. Pan Hui organized a successful workshop on mobile big data and networking (url:http://fi.ee.tsinghua.edu.cn/2015workshop/) in September 2015.

 

 

Computational modelling sheds new light on core cell functions

An advanced computational model developed by computer scientists has revealed long delays in gene regulation.

 

The fields of genetics and genomics have developed rapidly during the past years, partly due to better computational methods. Now an international research group led by Finnish researchers has developed a new computational model, which has revealed unexpectedly long processing delays in gene expression following a regulatory signal.

Jiaheng Lu: our new Associate Professor

 

Jiaheng Lu (JL) has been nominated as a tenure-track Associate Professor in computer science for a period of five years starting on August 1, 2015. Recruiting foreign professors is an important tool in the internationalization efforts of the University, so a thorough introductory interview by the head of the Department (JP) was a must.

 

 

Petri Myllymäki to be director of HIIT

Petri Myllymäki, professor at the department, has been elected director of HIIT (Helsinki Institute for Information Technology), the joint research institute of the University of Helsinki and Aalto University, for the five-year period starting on 1 August, 2015. Petri will be following Professor Sami Kaski of Aalto University in this post. Since the post of director of HIIT is a fulltime job, Petri (PM) will be relieved of his own professorial duties for the same period, and so the head of the department (JP) saw fit to conduct an exit interview with him.