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Martin Grambow
Martin Grambow
TU Berlin & Einstein Center Digital Future
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
552019
Befaas: An application-centric benchmarking framework for faas platforms
M Grambow, T Pfandzelter, L Burchard, C Schubert, M Zhao, D Bermbach
2021 IEEE International Conference on Cloud Engineering (IC2E), 1-8, 2021
372021
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
372020
MockFog 2.0: automated execution of fog application experiments in the cloud
J Hasenburg, M Grambow, D Bermbach
IEEE Transactions on Cloud Computing 11 (1), 58-70, 2021
332021
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
312020
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
262019
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
222018
Benchmarking the performance of microservice applications
M Grambow, E Wittern, D Bermbach
ACM SIGAPP Applied Computing Review 20 (3), 20-34, 2020
102020
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
102019
Three tales of disillusion: Benchmarking property preserving encryption schemes
F Pallas, M Grambow
Trust, Privacy and Security in Digital Business: 15th International …, 2018
102018
Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites
M Grambow, C Laaber, P Leitner, D Bermbach
PeerJ Computer Science 7, e548, 2021
92021
Using microbenchmark suites to detect application performance changes
M Grambow, D Kovalev, C Laaber, P Leitner, D Bermbach
IEEE Transactions on Cloud Computing, 2022
42022
Dockerization impacts in database performance benchmarking
M Grambow, J Hasenburg, T Pfandzelter, D Bermbach
arXiv preprint arXiv:1812.04362, 2018
42018
Writing a Computer Science Thesis
T Pfandzelter, M Grambow, T Schirmer, D Bermbach
2024
Efficiently Detecting Performance Changes in FaaS Application Releases
M Grambow, T Dockenfuß, T Schirmer, N Japke, D Bermbach
Proceedings of the 9th International Workshop on Serverless Computing, 13-17, 2023
2023
The Early Microbenchmark Catches the Bug--Studying Performance Issues Using Micro-and Application Benchmarks
N Japke, C Witzko, M Grambow, D Bermbach
Proceedings of the IEEE/ACM 16th International Conference on Utility and …, 2023
2023
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
M Grambow, T Pfandzelter, D Bermbach
arXiv preprint arXiv:2311.09745, 2023
2023
Using Microbenchmark Suites to Detect Application Performance Changes-Replication Package
M Grambow, D Kovalev, C Laaber, P Leitner, D Bermbach
2022
FBase: a replication service for data-intensive fog applications
J Hasenburg, M Grambow, D Bermbach
arXiv preprint arXiv:1912.03107, 2019
2019
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