Abstract

In this talk, I will present the Carat collaborative energy diagnosis project and our lessons learned when analyzing mobile applications. The project is joint with UCB and University of Helsinki. The key idea of the methodology is to gather app, battery, and context data on mobile devices and then to analyze and diagnose the data in the cloud. We have studied energy hogs, bugs, user feedback effect, and analysis techniques for malware identification. I will highlight the key research results and lessons learned in the talk.

Bio: Sasu Tarkoma received his M.Sc. and Ph.D. degrees in Computer Science from the University of Helsinki, Department of Computer Science. He is full professor at University of Helsinki, Department of Computer Science and Head of the networking and services specialization line. He has managed and participated in national and international research projects at the University of Helsinki, Aalto University, and Helsinki Institute for Information Technology (HIIT). He has worked in the IT industry as a consultant and chief system architect as well as principal researcher and laboratory expert at Nokia Research Center. His interests include mobile computing, Internet technologies, and middleware. He can be reached at sasu.tarkoma@helsinki.fi