Institut für Organisation und Management von Informationssystemen

Unser Institut beschäftigt sich mit Fragestellungen, wie autonomem Management von Informationsstrukturen, effizienter Realisierung von Cloud- oder Clustersystemen und wie dabei eine Kooperation von Anwendung, Middleware und Hardwaremanagement bei der Bereitstellung der Dienste erreicht werden kann.

Für weitere Informationen besuchen Sie unsere Seite zu den Forschungsschwerpunkten und den laufenden Projekten.

 

Unsere letzten Publikationen


Baur, Daniel; Wesner, Stefan; Domaschka, Jörg
Towards a Model-based Execution Ware for Deploying Multi-Cloud Applications
Proceedings of the 2nd International Workshop on Cloud Service Brokerage
September 2014
akzeptiert
Qevani, Elton; Panagopoulou, Marianthi; Stampoltas, Christoforos; Tsitsipas, Athanasios; Kyriazis, Dimosthenis; Themistocleous, Marinos
What Can OpenStack Adopt from a Ganeti-Based Open-Source IaaS?
2014 IEEE 7th International on Cloud Computing (CLOUD) , Seite 833 - 840.
Herausgeber: IEEE,
Juni 2014
ISBN: 978-1-4799-5062-1
Erb, Benjamin; Kargl, Frank; Domaschka, Jörg
Concurrent programming in web applications
it - Information Technology, 56(3):119--126
2014
Horn, Geir; Jeffery, Keith; Domaschka, Jörg; Schubert, Lutz
Analysing the Lifecycle of Future Autonomous Cloud Applications
In Markus Helfert and Frédéric Desprez and Donald Ferguson and Frank Leymann and Victor Méndez Muñoz, Editor, CLOSER 2014 - Proceedings of the 4th International Conference on Cloud Computing and Services Science, Barcelona, Spain, April 3-5, 2014. , Seite 569--577.
Herausgeber: SciTePress,
2014
Kritikos, Kiriakos; Domaschka, Jörg; Rossini, Alessandro
SRL: A Scalability Rule Language for Multi-Cloud Environments
Cloud Computing - 5th International Conference on Cloud Computing
2014
akzeptiert
Ostberg, Per-Olov; Groenda, Henning; Wesner, Stefan; Byrne, James; Nikolopoulos, Dimitrios S.; Sheridan, Craig; Krzywda, Jakub; Ali-Eldin, Ahmed; Tordsson, Johan; Elmroth, Erik; Stier, Christian; Krogmann, Klaus; Domaschka, Jörg; Hauser, Christopher B.; Byrne, PJ; Svorobej, Sergej; McCollum, Barry; Papazachos, Zafeirios; Whigham, Darren; Rüth, Stephan; Paurevic, Dragana
The CACTOS Vision of Context-Aware Cloud Topology Optimization and Simulation
5th International Conference on Cloud Computing
2014
Wesner, Stefan; Groenda, Henning; Svorobej, Sergej; Hauser, Christopher; Domaschka, Jörg
Optimised Cloud data centre operation supported by simulation
eChallenges 2014 Conference Proceedings
2014
akzeptiert
Nikolov, V.; Kächele, S.; Hauck, F. J.; Rautenbach, D.
CLOUDFARM: An Elastic Cloud Platform with Flexible and Adaptive Resource Management
Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing aus UCC '14
Herausgeber: IEEE Computer Society,
2014
ISBN: 978-1-4799-7881-6
Schubert, Lutz; Kuper, Jan; Gracia, Jose
POLCA - A Programming Model for Large Scale , Strongly Heterogeneous Infrastructures
In Bader, M. and Bode, A. and Bungartz, H.-J. and Gerndt, M. and Joubert, G.R. and Peters, F., Editor, Parallel Computing: Accelerating Computational Science and Engineering (CSE). aus Advances in Parallel Computing , Seite 43--52.
Herausgeber: IOS Press,
2014

Zusammenfassung: Parallel and portable development of programs is an important subject for future computing systems. With the introduction of heterogeneous many-core systems and the increasing impact of the memory wall, classical software develop¬ment paradigms no longer hold true. Data access and communication cost pose a crucial performance obstacle. Dataflow models are therefore getting attention from large scale and performance oriented developers. Such models are principally error prone, and require reorganization of the code to maximize usability. This paper outlines a programming approach that annotates the code with algebraic logic, thus providing data dependencies information. This not only allows more intuitive and fine-granular programmability, but in particular enables code rearrangement for manipulating the execution behavior, its concurrency and even its destination platform. This model is specifically geared towards mathematical problems and thus addresses in particular High Performance Computing needs.

Jeffery, Keith; Schubert, Lutz
Complete Computing: toward information, incentive and intention
2014

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