Dr.-Ing. Sascha Bosse
Tätigkeitsbezeichnung:
Assoziierter Wissenschaftler
Organisation:
CVLBA, VLBA Lab
E-Mail:
Telefon:
0391-67-52555
Curriculum Vitae
Sascha Bosse (Jahrgang 1986) studierte Informatik an der an der Fakultät für Informatik der Otto-von-Guericke-Universität Magdeburg und erlangte seinen Master-Abschluss im Jahre 2011.
Von 2012 bis 2020 war Sascha Bosse als Wissenschaftlicher Mitarbeiter im VLBA-Lab angestellt und erlangte 2016 den akademischen Grad Doktoringenieur. Seit 2020 arbeitet er als Fachreferent für Informatik und Mathematik an der Universitätsbibliothek Magdeburg und ist dort auch für das betriebliche Anwendungssystem verantwortlich. Fachliche Interessengebiete sind IT Systems Engineering, Datenanalyse, Modellierung, Simulation und Optimierung.
Events
09.06.2014
26.02.2014
15.12.2013
15.08.2013
Wissenschaftliche Artikel
2021
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Methodological Case Study Approach for Detecting Business Model Enablers in Copycat Ventures
In:
International Journal of Organizational and Collective Intelligence 11(4);
35-54;
2021;
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Addressing IT Capacity Management Concerns Using Machine Learning Techniques
In:
SN Computer Science 3;
2021;
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Challenges in Data Acquisition and Management in Big Data Environments
In:
6th International Conference on Internet of Things, Big Data and Security-IoTBDS;
193-204;
2021;
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2020
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Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers.
In:
WI2020 Zentrale Tracks;
1349-1363;
2020;
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Application of NLP to determine the State of Issues in Bug Tracking Systems
In:
2020 International Conference on Data Mining Workshops (ICDMW).IEEE;
53-61;
2020;
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2019
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A Modernized Model for PerformanceRequirements and their Interdependencies
In:
AICCSA (Hrsg.):
16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019; Abu Dhabi, UAE; IEEE;
AICCSA;
Abu Dhabi, UAE, IEEE;
2019;
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Towards an Automated Optimization-as-a-Service Concept
In:
Proceedings of the 4th International Conference on Internet of Things, Big Data and Security;
339-343;
2019;
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On the Utility of Machine Learning for Service Capacity Management of Enterprise Applications
In:
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems;
2019;
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Toward an autonomic and adaptive load management strategy for reducing energy consumption under performance constraints in data centers
In:
9th International Conference on Cloud Computing and Services Science, CLOSER 2019;
471-478;
SciTePress;
Crete, Greece;
2019;
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A holistic view of the server consolidation and virtual machines placement problems
In:
15th International Conference on Signal Image Technology & Internet based Systems, SITIS 2019;
Sorrento, Italy;
2019;
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Proof of Provision: Improving Blockchain Technology by Cloud Computing
In:
Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER;
SciTePress;
2019;
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Decision-Support for Selecting Big Data Reference Architectures
In:
Proceedings of the 22nd International Conference on Business Information Systems; 2019;
3-17;
2019;
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2018
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Toward a Performance Requirements Model for the Early Design Phase of IT Systems
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
9-16;
Limassol, Cyprus;
2018;
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Analysis and modeling of learning systems and development of a process model for flexible orchestration of learning environments
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
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Performance Evaluation of Application Layer
In:
IEEE (Hrsg.):
Proceedings of Sixth International Conference on Enterprise Systems;
180-187;
Limassol, Zypern;
2018;
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Toward Adaptive Manufacturing: Scheduling Problems in the Context of Industry 4.0
In:
Proceedings of the Sixth International Conference on Enterprise Systems;
108-115;
Limassol, Cyprus;
2018;
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Internet of Things Middleware: How Suitable are Service-oriented Architecture and Resource-oriented Architecture
In:
Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security;
229-236;
2018;
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Load Distribution Strategies for a Sustainable IT Resources Management
In:
Multikonferenz Wirtschaftsinformatik (MKWI);
2018;
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A Data-Science-as-a-Service Model
In:
Proceedings of the 8th International Conference on Cloud Computing and Services Science;
432-439;
2018;
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2017
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Integrated Optimization of IT Service Performance and Availability Using Performability Prediction Models
In:
13th International Conference on Wirtschaftsinformatik (WI);
2017;
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A Holistic View of the IoTProcess from Sensors to the Business Value
In:
Proceedings ot the 2nd International Conference on Internet of Things, Big Data and Security;
Lda Setúbal, Portugal;
2017;
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Collaborative Software Performance Engineering for Enterprise Applications
In:
Proceedings of the 50th Hawaii International Conference on System Sciences;
2017;
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Capacity Planning as a Service for Enterprise Standard Software
In:
19th IEEE International Conference on Business Informatics;
2017;
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Capacity Management as a Service for Enterprise Standard Software
In:
Marite Kirikova, Jelena Zdravkovic, Oscar Pastor and Peri Loucopoulos (Hrsg.):
Complex Systems Informatics and Modeling Quarterly (CSIMQ);
1-21;
Springer;
2017;
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Metaheuristic and Hybrid Simulation-Based Optimization for Solving Scheduling Problems with Major and Minor Setup Times
In:
The 16th International Conference on Modeling and applied Simulation;
Barcelona;
2017;
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Optimization of Data Center Fault Tolerance Design
In:
Marx Gómez, J., Mora, M., Raisinghani, M.S., Nebel, W., O'Connor, R (Hrsg.):
Engineering and Management of Data Centers;
141--162;
Springer;
Springer International Publishing AG;
2017;
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Providing Clarity on Big Data Technologies: A Structured Literature Review
In:
David Diaz, Yannis Manolopoulos, Babis Theodoulidis, Mohamed Zaki (Hrsg.):
Proceedings 2017 IEEE 19th Conference on Business Informatics CBI 2017;
IEEE;
2017;
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