Martin Grambow

According to our database, Martin Grambow authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Benchmarking microservice platforms and applications in the cloud.

Martin Grambow

PhD thesis, 2024

2023

MockFog 2.0: Automated Execution of Fog Application Experiments in the Cloud.

Jonathan Hasenburg, Martin Grambow, David Bermbach

IEEE Trans. Cloud Comput., 2023

Using Microbenchmark Suites to Detect Application Performance Changes.

Martin Grambow, Denis Kovalev, Christoph Laaber, Philipp Leitner, David Bermbach

IEEE Trans. Cloud Comput., 2023

Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS.

Martin Grambow, Tobias Pfandzelter, David Bermbach

CoRR, 2023

Efficiently Detecting Performance Changes in FaaS Application Releases.

Martin Grambow, Tim Dockenfuß, Trever Schirmer, Nils Japke, David Bermbach

Proceedings of the 9th International Workshop on Serverless Computing, 2023

The Early Microbenchmark Catches the Bug - Studying Performance Issues Using Micro- and Application Benchmarks.

Nils Japke, Christoph Witzko, Martin Grambow, David Bermbach

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

2021

Using application benchmark call graphs to quantify and improve the practical relevance of microbenchmark suites.

Martin Grambow, Christoph Laaber, Philipp Leitner, David Bermbach

PeerJ Comput. Sci., 2021

BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms.

Martin Grambow, Tobias Pfandzelter, Luk Burchard, Carsten Schubert, Max Xiaohang Zhao, David Bermbach

Proceedings of the IEEE International Conference on Cloud Engineering, 2021

2020

Towards a replication service for data-intensive fog applications.

Jonathan Hasenburg, Martin Grambow, David Bermbach

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Benchmarking microservice performance: a pattern-based approach.

Martin Grambow, Lukas Meusel, Erik Wittern, David Bermbach

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

FBase: A Replication Service for Data-Intensive Fog Applications.

Jonathan Hasenburg, Martin Grambow, David Bermbach

CoRR, 2019

Is it safe to dockerize my database benchmark?

Martin Grambow, Jonathan Hasenburg, Tobias Pfandzelter, David Bermbach

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

MockFog: Emulating Fog Computing Infrastructure in the Cloud.

Jonathan Hasenburg, Martin Grambow, Elias Grünewald, Sascha Huk, David Bermbach

Proceedings of the IEEE International Conference on Fog Computing, 2019

Continuous Benchmarking: Using System Benchmarking in Build Pipelines.

Martin Grambow, Fabian Lehmann, David Bermbach

Proceedings of the IEEE International Conference on Cloud Engineering, 2019

2018

Dockerization Impacts in Database Performance Benchmarking.

Martin Grambow, Jonathan Hasenburg, Tobias Pfandzelter, David Bermbach

CoRR, 2018

Three Tales of Disillusion: Benchmarking Property Preserving Encryption Schemes.

Frank Pallas, Martin Grambow

Proceedings of the Trust, Privacy and Security in Digital Business, 2018

Public Video Surveillance: Using the Fog to Increase Privacy.

Martin Grambow, Jonathan Hasenburg, David Bermbach

Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things, 2018