Smart City applications aim at making modern urban more spaces more liveable. Example applications come from the domains of transportation, environmental monitoring, and public safety. Novel applications in these domains require a dense network of proximate computing resources, accessed through high-bandwidth, low-latency wireless connections. In reference to Cloud Computing, these resources are often termed Cloudlets.
darmstadtCloud is a project of the Smart Ubiquitous Network (SUN) group at the Telecooperation Lab of TU Darmstadt and aims to explore the possibility of providing a city-wide cloudlet infrastructure in the city of Darmstadt, Germany. For this purpose, we collect locations of infrastructures on which cloudlets could be installed: Cellular base stations, WiFi access points and street lamps.
On the map below you can view the locations of the different access point types. Please note that additional data about the access points (e.g., the WiFi network name) is available through the API.
We provide a public API at api.darmstadtcloud.de to query our datasets and perform spatial operations on them.
Please note that by default for public usage, we currently limit our API to 500 requests per user per day. If you need more for your project, please contact us.
darmstadtCloud is an open project and as such we are always looking for new ideas, contributors, and suggestions. In particular,
you can help by mapping more WiFi access points, either through large-scale wardriving campaigns or by submitting your own access point here.
we are looking for volunteer developers that help implementing our API services.
if you are a student of the computer science department of TU Darmstadt, we offer theses and practical labs related to this project.
Please do not hesitate to contact us.
Our research on cloudlets for smart cities was featured in the following publications:
Furthermore, the datasets containing the access point locations are available on our GitHub:
Acknowledgement: This work has been cofunded by the German Research Foundation (DFG) and the National Nature Science Foundation of China (NSFC) joint project under grant No. 392046569 (DFG) and No. 61761136014(NSFC).