Mobile cloud computing makes data centres obsolete

Researcher Eemil Lagerspetz intends to move computing from computers to pocket devices and from data centres to homes.

Implementing cloud computing with mobile devices is being studied at the University of Helsinki. Mobile cloud computing refers to computing with smartphones or other mobile or Internet of Things devices in the environment, such as smart TVs or smart fridges. Without mobile devices, cloud computing means carrying out large tasks on computers linked together by network connections. In traditional computing, the tasks are carried out with computers that are physically located in the same space.

 

In the future, mobile cloud computing could be carried out at workplaces, homes and universities, among other places. For example, a smartphone connected to a wireless network during the night or the working day could be used as a part of mobile cloud computing.

“This would make it possible to use distributed computing power in the form of phones. At the same time, smartphones could do something useful even when they’re not actually being used,” Lagerspetz says.

In the research funded by the Academy of Finland, a computing platform is being developed for users to download as an application on their smartphone.

“Everybody could participate in computing, and also in doing science, by installing the application on their smartphone,” Lagerspetz says.

Nevertheless, mobile cloud computing has its issues. Mobile devices located in the same space can carry out their shared computing task effectively. But when the devices move away from the shared space with their owners, problems occur.

“At the workplace, the computing results would have to be stored somewhere after the end of the meeting, so that if the computing was still going on, it could continue later somewhere else,” Lagerspetz says.

The surprising energy efficiency of smartphones

Mobile devices are approximately ten times more energy-efficient than regular desktop or server computers. A large number of smartphones can provide the same computing power as a traditional server, but they consume considerably less energy. Even with less than ten smartphones, computing can be done relatively quickly.

 

“We already knew that mobile devices only use a small amount of energy, which means that they are very energy-efficient. What’s surprising is that their computing power is not too far behind the power of servers,” Lagerspetz says.

For example, a smart TV that is on while computing only consumes one or two watts more energy compared to simply being on standby without computing.

“We could also reduce the carbon footprint by moving on to more energy-efficient computing with mobile and IoT devices,” Lagerspetz says.

Computing goes into the environment with people

When successful, mobile cloud computing will move computing with the mobile and IoT devices to places where there are people. In the future, the devices could be used to compute things such as weather forecasts, tornadoes or earthquakes.

“In the future, light computing tasks could be carried out using smartphones and IoT devices. Large, energy-inefficient computers might even become obsolete,” Lagerspetz says.

Small mobile and IoT devices could also establish their own wireless network. In it, the devices could choose the best wireless network connection among themselves and use it to connect with the organisation that assigns the computing task.

The computing results could be achieved even more quickly, and the network connections would not get clogged as easily as now. Among other things, location data could come from computing by the IoT devices in the vicinity.

“We could bring computing to the grassroots level, where the phones and people are,” says Lagerspetz.

See Finnish Academy website.

Created date

05.10.2016 - 10:00

Inter-university research and training centre on information security

The University of Helsinki and Aalto University have set up a joint research centre focusing on information security. The new centre, HAIC (Helsinki-Aalto Centre for Information Security), will coordinate the Master’s-level security education between the university and Aalto, with links to research and doctoral education.

The idea is to build bridges to the industries and gain their support for the education, and e.g. grants for MSc students coming from outside the EU, the head of the Department of Computer Science, Sasu Tarkoma, says.

Computer science undergraduate Petteri Timonen awarded in US science competition

Petteri Timonen, 19, came second in his category of the Intel International Science and Engineering Fair (ISEF) in Phoenix, Arizona.

 

On Friday, 15 May, Timonen, who is studying computer science at the University of Helsinki, was awarded a grant worth 1500 USD, some 1330 euros, in the Systems Software category of the Intel ISEF science competition.
 
As his entry, Timonen submitted a software tool he developed for Finland’s Red Cross to make mobile blood runs around the country as cost-effective as possible. Timonen implemented his tool in cooperation with the Blood Service.

The tool has gained international attention, as no tool like it seems to have been developed anywhere else. Timonen has also negotiated with the American Red Cross by email.

Renewed Carat App Gives a Smart Boost to Battery

 
The Carat Project Team at the University of Helsinki, Department of Computer Science, has published a new version of the popular mobile energy-awareness application.

After launch in June 2012, Carat has helped over 850,000 users, of which 41 per cent have been Android and 59 per cent iOS users, respectively. The new user interface follows modern application design guidelines and presents battery information in a more intuitive and easy to use manner.

- In addition to the new user interface, we have increased the accuracy of the energy saving recommendations of Carat, says Professor Sasu Tarkoma, the leader of this research done at the university.

The user interface features the number of energy intensive applications (Hogs), energy anomalies (Bugs) and user recommendations (Actions) at a glance on the main screen as well as global energy statistics for the device community.

Cover Song Identification Using Compression-based Distance Measures

M.Sc. Teppo E. Ahonen will defend his doctoral thesis Cover Song Identification Using Compression-based Distance Measures on Friday the 1st of April 2016 at 12 o'clock in the University of Helsinki Exactum Building, Auditorium CK112 (Gustaf Hällströminkatu 2b) His opponent is Academy Professor Petri Toiviainen (University of Jyväskylä) and custos Professor Esko Ukkonen (University of Helsinki). The defence will be held in Finnish.

Measuring similarity in music data is a problem with various potential applications. In recent years, the task known as cover song identification has gained widespread attention. In cover song identification, the purpose is to determine whether a piece of music is a different rendition of a previous version of the composition. The task is quite trivial for a human listener, but highly challenging for a computer.