Martin Grambow
Martin Grambow
PhD student, TU Berlin
Bestätigte E-Mail-Adresse bei tu-berlin.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
MockFog: Emulating fog computing infrastructure in the cloud
J Hasenburg, M Grambow, E Grünewald, S Huk, D Bermbach
2019 IEEE International Conference on Fog Computing (ICFC), 144-152, 2019
102019
Public Video Surveillance: Using the Fog to Increase Privacy
M Grambow, J Hasenburg, D Bermbach
Proceedings of the 5th Workshop on Middleware and Applications for the …, 2018
62018
Three tales of disillusion: Benchmarking property preserving encryption schemes
F Pallas, M Grambow
International Conference on Trust and Privacy in Digital Business, 39-54, 2018
52018
Is it safe to dockerize my database benchmark?
M Grambow, J Hasenburg, T Pfandzelter, D Bermbach
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 341-344, 2019
42019
Towards a replication service for data-intensive fog applications
J Hasenburg, M Grambow, D Bermbach
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 267-270, 2020
32020
Benchmarking microservice performance: a pattern-based approach
M Grambow, L Meusel, E Wittern, D Bermbach
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 232-241, 2020
32020
FBase: A Replication Service for Data-Intensive Fog Applications
J Hasenburg, M Grambow, D Bermbach
arXiv preprint arXiv:1912.03107, 2019
32019
Dockerization impacts in database performance benchmarking
M Grambow, J Hasenburg, T Pfandzelter, D Bermbach
arXiv preprint arXiv:1812.04362, 2018
32018
Continuous Benchmarking: Using System Benchmarking in Build Pipelines
M Grambow, F Lehmann, D Bermbach
2019 IEEE International Conference on Cloud Engineering (IC2E), 241-246, 2019
12019
MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud
J Hasenburg, M Grambow, D Bermbach
arXiv preprint arXiv:2009.10579, 2020
2020
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