Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Stefan Wesner"'
Publikováno v:
Je-LKS: Journal of E-Learning and Knowledge Society, Vol 9, Iss 2 (2013)
Students of psychology as a minor subject often face the problem that they cannot attend psychology lectures as they coincide with courses in their major field of studies. A solution for these students might be lecture- recordings. In two field exper
Externí odkaz:
https://doaj.org/article/19bef77d85f7424dab9db54cc3bbdd58
Publikováno v:
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering.
Publikováno v:
Journal of Systems Research. 2
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031104602
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99371817f01fbec179957c7b86756d67
https://doi.org/10.1007/978-3-031-10461-9_48
https://doi.org/10.1007/978-3-031-10461-9_48
Publikováno v:
SAC
Cloud resources have become a preferred operational model distributed Database Management Systems (DBMS) by offering the elasticity and virtually unlimited scalability, but increase the risk of failures with increasing cluster sizes. While distribute
Publikováno v:
2019 IEEE 8th International Conference on Cloud Networking (CloudNet)
8th IEEE International Conference on Cloud Networking (IEEE CloudNet 2019)
CloudNet
8th IEEE International Conference on Cloud Networking (IEEE CloudNet 2019)
CloudNet
Virtualisation first and cloud computing later has led to a consolidation of workload in data centres that also comprises latency-sensitive application domains such as High Performance Computing and telecommunication. These types of applications requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56b92ca1e736a3a899ab1302e515143a
Publikováno v:
Heterogeneous Computing Architectures ISBN: 9780429399602
Monolithic operating systems: (1) are centralized, (2) need additional effort for distributed computing, (3) cannot deal with the speed of adaptation necessary for modern heterogeneous infrastructures, (4) require more resources than available on emb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ffb3a6bf762734a79ebb7ea70245088
https://doi.org/10.1201/9780429399602-2
https://doi.org/10.1201/9780429399602-2
Publikováno v:
IDAACS
Continuously growing amount of research experiments using High Performance Computing (HPC) leads to the questions of research data management and in particular how to preserve a scientific experiment including all related data for long term for its f
Autor:
Mitalee Sarker, Stefan Wesner
Publikováno v:
Economics of Grids, Clouds, Systems, and Services ISBN: 9783030360269
GECON
GECON
In this paper, we presented a comprehensive stability analysis of statistical models derived from the network usage data to design an efficient and optimal resource management in a Cloud data centre. In recent years, it has been noticed that network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493777c27a56588a6c0913e0d362903d
https://doi.org/10.1007/978-3-030-36027-6_22
https://doi.org/10.1007/978-3-030-36027-6_22
Publikováno v:
2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
CloudCom
CloudCom
Auto-scaling is able to change the scale of an application at runtime. Understanding the application characteristics, scaling impact as well as the workload, an auto-scaler aligns the acquired resources to match the current workload. For distributed