Prof. Dr. Nane Kratzke
|Address||Lübeck University of Applied Sciences, Faculty of Electrical Engineering and Computer Science
Mönkhofer Weg 239
D-23562 Lübeck, Germany
|Phone||+49 (0)451 300-5549|
|Social||ResearchGate, Twitter, Google+, XING, LinkedIN, Blog (private)|
Nane Kratzke is professor for Computer Science at FH Luebeck since 2010.
Before that he was a consulting software architect at German think tank IABG and consulted the German Ministry of Defence in questions concerning network centric warfare.
Furthermore he was enlisted as a navy officer in german navy. Over seven years he was involved in several functions as software engineer, team leader and project leader in complex software intensive system integration projects of distributed command and control systems (C2) as well as weapon control systems (WCS) of German frigates. He also conducted an extra-occupational PhD programme at the University of Potsdam in the field of model-based analysis of knowledge intensive business processes.
His research focus concentrates on model-based software and system design and analysis of distributed systems. Since 2010 his research focus concentrates especially on cloud computing and model based cloud service design as well as on viable cloud adaption strategies.
- Since 2010 Professor for Computer Science at the Lübeck University of Applied Sciences
- 2009 - 2010 Visiting Lecturer at the University of Federal Armed Forces Munich
- 2007 - 2010 Softwarearchitect and Project Leader at German Think Tank IABG
- 2002 - 2006 Extra-Occupational PhD program at University of Oldenburg and Potsdam
- 2000 - 2007 Software-Engineer and Team Leader at German Naval Command and Control Systems Command
- 1996 - 2000 Studies of Computer Science at University of Federal Armed Forces Munich
- 1995 - 1996 Navy Officer Training
- 1995 University entrence diploma (Abitur) at Mariengymnasium Jever
- 1976 born in Flensburg, Germany
Further information on courses can be found at the corresponding study programs. Teaching activities include courses on:
- cloud computing
- enterprise architectures
|||Modellbasierte Analyse interorganisationaler Wissensflüsse , 2007. [bib]|
|||The #BTW17 Twitter Dataset - Recorded Tweets of the Federal Election Campaigns of 2017 for the 19th German Bundestag , In Data, volume 2, 2017. [bib] [pdf]|
|||Understanding Cloud-native Applications after 10 Years of Cloud Computing - A Systematic Mapping Study , In Journal of Systems and Software Elsevier, volume 126, 2017. [bib]|
|||Taming the Complexity of Elasticity, Scalability and Transferability in Cloud Computing - Cloud-Native Applications for SMEs , In International Journal on Advances in Networks and Services International Academy, Research, and Industry Association (IARIA), volume 9, 2016. [bib] [abstract]|
Cloud computing enables companies getting computational and storage resources on demand. Especially when using features like elasticity and scaling, cloud computing can be a very powerful technology to run, e.g., a webservice without worries about failure by overload or wasting money by paid use of unneeded resources. For using these features, developers can use or implement cloud-native applications (CNA), containerized software running on an elastic platform. Nevertheless, a CNA can be complex at planning, installation and configuration, maintenance and searching for failures. Small and medium enterprises (SMEs) are mostly limited by their personnel and financial restrictions. So, using these offered services can facilitate a very fast realization of the software project. However, using these (proprietary) services it is often difficult to migrate between cloud vendors. This paper introduces C4S, an open source system for SMEs to deploy and operate their container application with features like elasticity, auto-scaling and load balancing. The system also supports transferability features for migrating containers between different Infrastructure as a Service (IaaS) platforms. Thus, C4S is a solution for SMEs to use the benefits of cloud computing with IaaS migration features to reduce vendor lock-in.
|||Project Cloud TRANSIT - Or to Simplify Cloud-native Application Provisioning for SMEs by Integrating Already Available Container Technologies , Chapter in European Project Space on Smart Systems, Big Data, Future Internet - Towards Serving the Grand Societal Challenges Scitepress (Verena Kantere, Barbara Koch, eds.), 2016. [bib]|
|||Public Cloud Services an der Fachhochschule Lübeck: Betrachtungen zu wirtschaftlich sinnvollen Einsatzgebieten in Lehre und Forschung , In Impulse - Aus Forschung und Lehre der FH Lübeck, volume 19, 2016. [bib]|
|||Sperrvermerke bei Abschlussarbeiten , In Informatik-Spektrum Springer Berlin Heidelberg, 2015. [bib] [pdf]|
|||How to Operate Container Clusters more Efficiently? Some Insights Concerning Containers, Software-Defined-Networks, and their sometimes Counterintuitive Impact on Network Performance , In International Journal On Advances in Networks and Services International Academy, Research, and Industry Association (IARIA), volume 8, 2015. [bib]|
|||CloudTRANSIT - Sichere, plattformunabhängige und transferierbare IT-Services mittles einer generischen Cloud Service Description Language , In ImpulsE - Aus Forschung und Lehre der FH Lübeck, volume 18, 2014. [bib]|
|||A Lightweight Virtualization Cluster Reference Architecture Derived from Open Source PaaS Platforms , In Open Journal of Mobile Computing and Cloud Computing (MCCC), volume 1, 2014. [bib]|
|||Lightweight Virtualization Cluster - Howto overcome Cloud Vendor Lock-in , In Journal of Computer and Communication (JCC), volume 2, 2014. [bib]|
|||An Interdisciplinary Approach on Operational Knowledge Process Modeling and Formal Reasoning , In Modeling and Analyzing Knowledge Intensive Business Processes with KMDL: Comprehensive Insights Into Theory and Practice GITO mbH Verlag, 2012. [bib]|
|||Cloud Computing Costs and Benefits , Chapter in Cloud Computing and Services Science Springer New York (Ivan Ivanov, Marten van Sinderen, Boris Shishkov, eds.), 2012. [bib] [pdf]|
|||Virtual Labs in Higher Education of Computer Science , In Education, volume 2, 2012. [bib] [pdf] [abstract]|
Cost efficiency is an often mentioned strength of cloud computing. In times of decreasing educational budgets virtual labs provided by cloud computing might be therefore an interesting option for higher education organizations or IT training facilities. An analysed use case of a web technology lecture and a corresponding practical course of a computer science study programme shows that is not possible to answer the question in general whether cloud computing approaches are economical or not. The general implication of this finding for higher education is, that the application of cloud computing can be only answered from a course specific point of view. This contribution shows why. But also how universities, colleges or other IT training facilities can make profound and course specific decisions for or against cloud based virtual labs from an economic point of view. The presented approach is inspired by Weinmans textquotedblleftmathematical proof of the inevitability of cloud computingtextquotedblright. The key idea is to compare peak to average usage of virtual labs and relate this ratio to costs of classical dedicated labs. The ratio of peak and average usage indicates whether a use case (from a pure economical point of view) is cloud compatible or not. This contribution derives also some findings when cloud computing in higher education has economical advantages or disadvantages. Regarding the analysed use case it turned out that virtual labs are able to provide a more than 25 times cost advantage compared to classical dedicated approaches. Virtual labs can be applied frictionless to classical as well as distance study programmes and virtual labs provide a convenient infrastructure for project as well as problem based learning in computer science. Nevertheless provider of virtual labs should always consider usage and resulting cost characteristics. This article shows how to do this.
|||Agent-Based Simulation of Joint Fire Support Teams – Collaboration in Network- Centric Warfare Scenarios , Chapter in Collaborative Agents - Research and Development Springer Berlin Heidelberg (Christian Guttmann, Frank Dignum, Michael Georgeff, eds.), volume 6066, 2011. [bib] [pdf]|
|||Modell-basierte Identifikation interorganisationaler Wissensflüsse , In Inform., Forsch. Entwickl., volume 20, 2006. [bib]|
|||About an Immune System Understanding for Cloud-native Applications - Biology Inspired Thoughts to Immunize the Cloud Forensic Trail , In Proc. of the 9th Int. Conf. on Cloud Computing, GRIDS, and Virtualization (CLOUD COMPUTING 2018, Barcelona, Spain), 2018. [bib]|
|||Towards a Description of Elastic Cloud-native Applications for Transferable Multi-Cloud-Deployments , In CloudTRANSIT, cloud, 2017. [bib]|
|||Smuggling Multi-Cloud Support into Cloud-native Applications using Elastic Container Platforms , In Proceedings of the 7th Int. Conf. on Cloud Computing and Services Science (CLOSER 2017), 2017. [bib]|
|||Overcome Vendor Lock-In by Integrating Already Available Container Technologies - Towards Transferability in Cloud Computing for SMEs , In Proceedings of CLOUD COMPUTING 2016 (7th. International Conference on Cloud Computing, GRIDS and Virtualization), 2016. [bib]|
|||ppbench - A Visualizing Network Benchmark for Microservices , In Proceedings of the 6th International Conference on Cloud Computing and Services Science (CLOSER 2016), 2016. [bib] [abstract]|
Companies like Netflix, Google, Amazon, Twitter successfully exemplified elastic and scalable microservicearchitectures for very large systems. Microservice architectures are often realized in a way to deploy servicesas containers on container clusters. Containerized microservices often use lightweight and REST-based mech-anisms. However, this lightweight communication is often routed by container clusters through heavyweightsoftware defined networks (SDN). Services are often implemented in different programming languages addingadditional complexity to a system, which might end in decreased performance. Astonishingly it is quite com-plex to figure out these impacts in the upfront of a microservice design process due to missing and specializedbenchmarks. This contribution proposes a benchmark intentionally designed for this microservice setting. Weadvocate that it is more useful to reflect fundamental design decisions and their performance impacts in theupfront of a microservice architecture development and not in the aftermath. We present some findings regard-ing performance impacts of some TIOBE TOP 50 programming languages (Go, Java, Ruby, Dart), containers(Docker as type representative) and SDN solutions (Weave as type representative).
|||About Microservices, Containers and their Underestimated Impact on Network Performance , In Proceedings of CLOUD COMPUTING 2015 (6th. International Conference on Cloud Computing, GRIDS and Virtualization), 2015. [bib]|
|||Are Cloud Enabled Virtual Labs Economical? - A Case Study Analyzing Cloud based Virtual Labs for Educational Purposes , In CSEDU (2), 2012. [bib]|
|||What Cost Us Cloud Computing? - A Case Study on How to Decide for or against IaaS based Virtual Labs , In CLOSER, 2012. [bib]|
|||Overcoming Ex Ante Cost Intransparency of Clouds - Using System Analogies and a Corresponding Cost Estimation Model , In CLOSER, 2011. [bib]|
|||Cloud-based IT Management Impacts - Qualitative Weaknesses and Strengths of Clouds , In CLOSER, 2011. [bib]|
|||Monitoring of reliability in Bayesian identification , In FUSION, 2009. [bib]|
|||How Do System and Enterprise Architectures Influence Knowledge Management in Software Projects? - An Explorative Study of Six Software Projects , In EMISA, 2009. [bib]|
|||Ganzheitliche Entwicklungsbegleitung komplexer Waffensysteme der Marine , In missing booktitle, volume GI Jahrestagung (2), 2005. [bib]|
|||ClouNS - A Reference Model for Cloud-Native Applications , In Proceedings of 20th. International Conference on Enterprise Distributed Object Computing Workshops (EDOCW 2016), 2016. [bib]|
|||Collaboration in Network-Centric Warfare Modeling Joint Fire Support Teams , In Web Intelligence/IAT Workshops, 2010. [bib]|
|||80% der Cloud-Dienste sind nicht standardisiert , Interview Neue Mediengesellschaft Ulm mbH, volume 5, 2017. [bib]|