Zobrazeno 1 - 10 of 43 pro vyhledávání: '"Johannes Grohmann"'
1
Akademický článek
A Taxonomy of Techniques for SLO Failure Prediction in Software Systems
Autor: Johannes Grohmann, Nikolas Herbst, Avi Chalbani, Yair Arian, Noam Peretz, Samuel Kounev
Publikováno v: Computers, Vol 9, Iss 1, p 10 (2020)
Failure prediction is an important aspect of self-aware computing systems. Therefore, a multitude of different approaches has been proposed in the literature over the past few years. In this work, we propose a taxonomy for organizing works focusing o
Externí odkaz: https://doaj.org/article/b8801e0f3bbf4765b7e68f854164d143
Zobrazit plný text záznamu
2
The State of Serverless Applications: Collection, Characterization, and Community Consensus
Autor: Nikolas Herbst, Maximilian Schwinger, Erwin van Eyk, Joel Scheuner, Simon Eismann, Johannes Grohmann, Alexandru Iosup, Cristina L. Abad
Publikováno v: Eismann, S, Scheuner, J, Eyk, E V, Schwinger, M, Grohmann, J, Herbst, N, Abad, C L & Iosup, A 2022, ' The State of Serverless Applications: Collection, Characterization, and Community Consensus ', IEEE Transactions on Software Engineering, vol. 48, no. 10, pp. 4152-4166 . https://doi.org/10.1109/TSE.2021.3113940
IEEE Transactions on Software Engineering, 48(10), 4152-4166. Institute of Electrical and Electronics Engineers Inc.
Over the last five years, all major cloud platform providers have increased their serverless offerings. Many early adopters report significant benefits for serverless-based over traditional applications, and many companies are considering moving to s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82695109c9140716a22fd87c5c58c823
https://research.vu.nl/ws/files/220366225/The_State_of_Serverless_Applications_Collection_Characterization_and_Community_Consensus.pdf
Zobrazit plný text záznamu
6
SARDE
Autor: Johannes Blum, Samuel Kounev, Simon Spinner, Simon Eismann, Johannes Grohmann, Nikolas Herbst, Andre Bauer
Publikováno v: ACM Transactions on Autonomous and Adaptive Systems. 15:1-31
Resource demands are crucial parameters for modeling and predicting the performance of software systems. Currently, resource demand estimators are usually executed once for system analysis. However, the monitored system, as well as the resource deman
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7815da5323180a49f12aecfc04b6b184
https://doi.org/10.1145/3463369
Zobrazit plný text záznamu
7
Modelling non-local neural information processing in the brain
Autor: Johannes Balkenhol, Barbara Händel, Juan Prada, Conrado A. Bosman, Hannelore Ehrenreich, Johannes Grohmann, Jóakim v. Kistowski, Sonja M. Wojcik, Samuel Kounev, Robert Blum, Thomas Dandekar
The representation of the surrounding world emerges through integration of sensory information and actions. We present a novel neural model which implements non-local, parallel information processing on a neocolumnar architecture with lateral interco
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::104f04f9f9d464602480724809714809
https://doi.org/10.1101/2022.01.27.477993
Zobrazit plný text záznamu
8
Sizeless
Autor: Samuel Kounev, Nikolas Herbst, Simon Eismann, Cristina L. Abad, Johannes Grohmann, Long Bui
Publikováno v: Proceedings of the 22nd International Middleware Conference.
Serverless functions are a cloud computing paradigm where the provider takes care of resource management tasks such as resource provisioning, deployment, and auto-scaling. The only resource management task that developers are still in charge of is se
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b99a18a58ab0a1558ae0f8b55e8a11
https://doi.org/10.1145/3464298.3493398
Zobrazit plný text záznamu
9
A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0
Autor: Samuel Kounev, Johannes Grohmann, Ibrahim Dortoluk, Marwin Züfle, Joachim Agne
Publikováno v: INDIN
Predictive maintenance is an essential aspect of the concept of Industry 4.0. In contrast to previous maintenance strategies, which plan repairs based on periodic schedules or threshold values, predictive maintenance is normally based on estimating t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::10ad5a7db6b189f00127efcf08be80c2
https://doi.org/10.1109/indin45523.2021.9557387
Zobrazit plný text záznamu
10
The SPEC-RG Reference Architecture for FaaS
Autor: Erwin van Eyk, Andre Bauer, Lucian Toader, Nikolas Herbst, Simon Eismann, Cristina L. Abad, Alexandru Iosup, Norbert Schmitt, Johannes Grohmann, Laurens Versluis
Publikováno v: IEEE Internet Computing, 23(6):8894540, 7-18. Institute of Electrical and Electronics Engineers Inc.
Van Eyk, E, Iosup, A, Grohmann, J, Eismann, S, Bauer, A, Versluis, L, Toader, L, Schmitt, N, Herbst, N & Abad, C L 2019, ' The SPEC-RG Reference Architecture for FaaS : From Microservices and Containers to Serverless Platforms ', IEEE Internet Computing, vol. 23, no. 6, 8894540, pp. 1-9 . https://doi.org/10.1109/MIC.2019.2952061
Microservices, containers, and serverless computing belong to a trend toward applications composed of many small, self-contained, and automatically managed components. Core to serverless computing, function-as-a-service (FaaS) platforms employ state-
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c01cce0c0fe36968bfe2b9d0e86e5a4
https://hdl.handle.net/1871.1/8d93517a-13ca-4941-97d8-b07178732c51
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje