SNET Acquired Projects

FlashPoll

Jan 2013 – Dec 2015


Partners Technische Universität Berlin, Telekom Innovation Laboratories, KTH Royal Institute of Technology, Stockholm University, Alfstore, Missions Publiques
Funding by European Institute of Innovation and Technology (EIT)
Website www.flashpoll.eu

Within the scope of the action line Digital Cities of the Future, the objective of FlashPoll is the development of a location-based and context-aware polling app that provides a direct communication channel between citizens and administrators in order to enable citizen participation in urban planning decisions.

Our group focuses on the implementation of a crowdsourcing platform to collect and analyze user context. This context data will be semantically interconnected to open datasets, such as the OpenMobileNetwork or Berlin Open Data, in order to exploit the power and richness of open datasets for innovative and sophisticated flash polls.

Context Data Cloud

Mar 2013 – Feb 2015


Partners Technische Universität Berlin, Telekom Innovation Laboratories
Funding by Software Campus, Federal Ministry of Education and Research (BMBF)
Website www.contextdatacloud.org

The Context Data Cloud has been chosen as one of the most innovative IT projects in 2013 to be funded within the Software Campus initiative.

Context Data Cloud

The Context Data Cloud is a service enabler platform (run by a mobile network operator) that interconnects context providers, consumers as well as context-aware service developers for providing semantically enriched context-aware services. It is based on Linked Data and enables developers of context-aware services to easily realize innovative applications by making use of a set of novel interfaces (provided by the network operator).

TRESOR

Mar 2012 – Feb 2015


Partners Technische Universität Berlin, T-Systems International GmbH, Bitplaces GmbH, Deutsches Herzzentrum Berlin, Paulinenhaus Krankenanstalt e.V. Berlin, medisite Systemhaus GmbH
Funding by Federal Ministry for Economic Affairs and Energy (BMWi)
Website www.cloud-tresor.com

The main objective of TRESOR is the development of a cloud ecosystem that consists of an open platform for cloud services and a cloud broker. The first component provides a marketplace for cloud services based on well-established standards maximizing interoperability between different cloud providers. In that way, cloud services can be easily combined and integrated into several applications leading to cost savings and decreasing dependencies, so-called lock-in effects, to certain cloud providers. The cloud broker, on the other hand, mediates, combines and allows the access to those cloud services by taking enterprise guidelines, regulations by law and security policies into consideration. Furthermore, the broker applies new concepts of location-aware service usage and data storage.

TRESOR

Our work in this project mainly consists of the development of the cloud broker and the integration of new concepts of location management in order to apply service usage and data storage based on the location.

Communicate Green

Jan 2011 – Apr 2014


Partners Technische Universität Berlin, Telekom Innovation Laboratories, Ericsson GmbH, Fraunhofer Gesellschaft zur Förderung der angewandten Forschung e.V., Universität Paderborn
Funding by Federal Ministry for Economic Affairs and Energy (BMWi)
Website www.communicate-green.de

In order to fulfill today’s high demands on mobile network usage, mobile network providers in Germany have around 123.000 base stations working 24 hours a day, 7 days a week 7 with a total power consumption of approx. 1455 GWh per year. The permanent availabilty of those network components causes a significant energy consumption. Through an adaptive, context-aware and technology-comprehensive power management in mobile networks, a considerable amount of energy can be saved by maintaining the high quality of experience at the same time. There are a lot of contextual information present in mobile network components and end devices, which can help to calculate decisions for a dynamic de- and reactivation of network components (e.g., base stations).

The main focus of our work in this project is the development of a context entity that aggregates and processes contextual information in order to calculate decisions for network optimizations. By applying various context acquisition approaches, both the network as well as the user view will be included into the power management process.