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Michel Krämer
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2020 – today
- 2024
- [j8]Michel Krämer
, Pascal Bormann, Hendrik M. Würz, Kevin Kocon, Tobias Frechen, Jonas Schmid:
A cloud-based data processing and visualization pipeline for the fibre roll-out in Germany. J. Syst. Softw. 211: 112008 (2024) - [j7]Pascal Bormann
, Michel Krämer
, Hendrik M. Würz
, Patrick Göhringer:
Executing Ad-Hoc Queries on Large Geospatial Data Sets Without Acceleration Structures. SN Comput. Sci. 5(5): 647 (2024) - [j6]Hendrik M. Würz
, Michel Krämer
, Marvin Kaster, Arjan Kuijper
:
Migrating monolithic applications to function as a service. Softw. Pract. Exp. 54(2): 149-167 (2024) - 2022
- [c12]Pascal Bormann, Michel Krämer
, Hendrik M. Würz:
Working Efficiently with Large Geodata Files using Ad-hoc Queries. DATA 2022: 438-445 - 2021
- [j5]Michel Krämer
, Hendrik M. Würz, Christian Altenhofen:
Executing cyclic scientific workflows in the cloud. J. Cloud Comput. 10(1): 25 (2021) - 2020
- [j4]Michel Krämer
:
GeoRocket: A scalable and cloud-based data store for big geospatial files. SoftwareX 11: 100409 (2020) - [c11]Michel Krämer
:
Efficient Scheduling of Scientific Workflow Actions in the Cloud Based on Required Capabilities. DATA (Revised Selected Papers) 2020: 32-55 - [c10]Michel Krämer
:
Capability-based Scheduling of Scientific Workflows in the Cloud. DATA 2020: 43-54 - [c9]Pascal Bormann, Michel Krämer
:
A System for Fast and Scalable Point Cloud Indexing Using Task Parallelism. STAG 2020: 153-162 - [i1]Michel Krämer:
GeoRocket: A scalable and cloud-based data store for big geospatial files. CoRR abs/2001.09329 (2020)
2010 – 2019
- 2019
- [j3]Michel Krämer
, Sven Frese, Arjan Kuijper:
Implementing secure applications in smart city clouds using microservices. Future Gener. Comput. Syst. 99: 308-320 (2019) - [j2]Benedikt Hiemenz, Michel Krämer
:
Dynamic searchable symmetric encryption for storing geospatial data in the cloud. Int. J. Inf. Sec. 18(3): 333-354 (2019) - 2018
- [b1]Michel Krämer:
A microservice architecture for the processing of large geospatial data in the Cloud. Darmstadt University of Technology, Germany, 2018 - 2015
- [j1]Michel Krämer
, Ivo Senner:
A modular software architecture for processing of big geospatial data in the cloud. Comput. Graph. 49: 69-81 (2015) - [c8]Michel Krämer
, Ralf Gutbell:
A case study on 3D geospatial applications in the web using state-of-the-art WebGL frameworks. Web3D 2015: 189-197 - 2014
- [c7]Michel Krämer
:
Controlling the Processing of Smart City Data in the Cloud with Domain-Specific Languages. UCC 2014: 824-829 - [c6]Jens Dambruch, Michel Krämer
:
Leveraging public participation in urban planning with 3D web technology. Web3D 2014: 117-124 - 2013
- [c5]Michel Krämer
, David Ludlow, Zaheer Abbas Khan:
Domain-Specific Languages For Agile Urban Policy Modelling. ECMS 2013: 673-680 - 2011
- [c4]Simon Thum, Michel Krämer
:
Reducing maintenance complexity of user-centric web portrayal services. Web3D 2011: 165-172 - 2010
- [c3]Michel Krämer, Tobias Ruppert, Eva Kien, Jörn Kohlhammer:
DeepCity3D : Integration von 3D-Stadtmo-dellen und Untergrundinformationen. Geoinformatik 2010: 72-80
2000 – 2009
- 2009
- [c2]Thorsten Reitz, Michel Krämer
, Simon Thum:
A processing pipeline for X3D earth-based spatial data view services. Web3D 2009: 137-145 - 2007
- [c1]Michel Krämer
, Jörg Haist, Thorsten Reitz:
Methods for Spatial Data Quality of 3D City Models. Eurographics Italian Chapter Conference 2007: 167-172
Coauthor Index
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last updated on 2024-07-05 20:19 CEST by the dblp team
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