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Workshops - Industrie 4.0 - Integration und Anwendungen

Workshops - Industrie 4.0 - Integration und Anwendungen

Im Rahmen des Projektes "Mittelstand-Digital-Zentrum Magdeburg" finden ab September 2024 wieder Workshops im Rahmen unserer Blended-Learning Staffel "Industrie 4.0 - Integration und Anwendungen" statt. Die Teilnehmer können ...
Flexible Erstellung von Lehr- und Lernumgebungen

Flexible Erstellung von Lehr- und Lernumgebungen

Die stetig wachsende Nachfrage nach Lehr- und Lernumgebungen (englisch Teaching and Learning Environments; kurz: TLEs) stellt Curriculum Designer vor immer größere Herausforderungen. Die Kombination von Lerninhalten, didaktischen ...
VLBA Lab at the HPI Cloud Symposium

VLBA Lab at the HPI Cloud Symposium

In the course of the symposium "Operating the Cloud" at the Hasso-Plattner-Institute in Potsdam, cloud operation from the viewpoints of science and industry was discussed at 28th of October 2014. In addition to practice reports ...
Contribution "Analyzing the Effects of Load Distribution Algorithms on Energy Consumption of Servers in Cloud Data Centers" will be presented at the WI2015

Contribution "Analyzing the Effects of Load Distribution Algorithms on Energy Consumption of Servers in Cloud Data Centers" will be presented at the WI2015

During the last decades, energy costs have become responsible for a significant part of the operating costs of data centers. The rise of Cloud Computing has caused the construction of an increasingly growing number of data centers that consume ...
Management and controlling of data science projects

Management and controlling of data science projects

Data science aims to extract knowledge from data using structured analysis, which promises, among other things, improved performance for businesses and other organizations (Martinez 2017). For example, e-commerce companies such as Amazon are ...

Characterizing the compatibility of Big Data Technologies and its manifestations (MA, WTP)

Since the beginning of this decade, big data has evolved as a promising term to realize data intensive projects and applications, which seemed impossible years ago. Using new technologies and techniques massive amounts of differently structured ...

The quest for Open Source knowledge (MA)

After more than a decade Microsoft has transformed from the famous claim of Steve Ballmer: "Linux is a cancer" [2] to Satya Nadellas "Microsoft loves Linux" [3]. Nowadays “Open Source is fueling the digital transformation” ...
Cloud Very Large Business Applications Operation

Cloud Very Large Business Applications Operation

Currently, cloud computing is a topic that is widely discussed in literature and in practice. The establishment of cloud computing brings along several chances, but at the same time confronts the operators of computing centers with ...
IT Infrastructure Modeling Language

IT Infrastructure Modeling Language

Introduction For software development, there are different graphical modelling languages for different fields of application. As an example, processes can be displayed through event-driven process chains or an object-oriented software can be ...
Predicting Availability of an In-Memory Computing Cluster

Predicting Availability of an In-Memory Computing Cluster

Together with the Hasso Plattner Institute in Potsdam as well as with industry partners such as SAP, HP and Fujitsu, in 2014 a project was conducted by the VLBA Lab in Magdeburg in which the availability of an in-memory computing cluster was ...

Publications

Khan, A.; Pohl, M.; Bosse, S.; Hart, S. W.; Turowski, K.
A Holistic View of the IoTProcess from Sensors to the Business Value
Khan, A.; Hintsch, Johannes; Turowski, K.; Saake, G.
Variability Management in Infrastructure as a Service: Scenarios in Cloud Deployment Models
Hintsch, Johannes; Khan, A.; Siegling, André; Turowski, K.
Application Software in Cloud-Ready Data Centers: A Survey
Khan, A.; Pohl, M.; Köppen, V.; Saake, G.; Turowski, K.
An Evaluation of Variability Mechanisms to Manage Cloud Services
Khan, A.; Pohl, M.; Saake, G.; Turowski, K.
An Evaluation of Variability Mechanisms to Manage Cloud Services