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.

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Unsere letzten Publikationen

Nikolov, Vladimir; Wesner, Stefan; Frasch, Eugen; Hauck, Franz J.
A Hierarchical Scheduling Model for Dynamic Soft-Realtime Systems
29th Euromicro Conference on Real-Time Systems (ECRTS 2017)
Herausgeber: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik,
Juni 2017

Zusammenfassung: We present a new hierarchical approximation and scheduling approach for applications and tasks with multiple modes on a single processor. Our model allows for a temporal and spatial distribution of the feasibility problem for a variable set of tasks with non-deterministic and fluctuating costs at runtime. In case of overloads an optimal degradation strategy selects one of several application modes or even temporarily deactivates applications. Hence, transient and permanent bottlenecks can be overcome with an optimal system quality, which is dynamically decided. This paper gives the first comprehensive and complete overview of all aspects of our research, including a novel CBS concept to confine entire applications, an evaluation of our system by using a video-on-demand application, an outline for adding further resource dimension, and aspects of our protoype implementation based on RTSJ.

Nikolov, Vladimir; Bonfert, Stefan; Frasch, Eugen; Hauck, Franz J.
Scheduling Interactive HPC Applications
Proceedings of the 8th Real-Time Scheduling Open Problems Seminar (RTSOPS)
Herausgeber: 7 CISTER, ISEP, Portugal, and Virginia Tech, USA.,
Juni 2017
Seybold, Daniel; Domaschka, Jörg
Is Distributed Database Evaluation Cloud-ready?
21st European Conference on Advances in Databases and Information Systems (ADBIS),
Juni 2017
Kritikos, Kyriakos; Zeginis, Chrysostomos; Griesinger, Frank; Seybold, Daniel; Domaschka, Jörg
A Cross-Layer BPaaS Adaptation Framework
International Conference on Future Internet of Things and Cloud (FiCloud),
Juni 2017
Domaschka, Jörg; Griesinger, Frank; Seybold, Daniel; Wesner, Stefan
A Cloud-driven View on Business Process as a Service
7th International Conference on Cloud Computing and Services Science (CLOSER),
April 2017
Griesinger, Frank; Seybold, Daniel; Domaschka, Jörg
CloudSocket: Business Process as a Service
In CLOSER, Editor,
April 2017
Krach, Sebastian; Stier, Christian; Tsitsipas, Athanasios
Modeling IaaS Usage Patterns for the Analysis of Cloud Optimization Policies
Symposium on Software Performance (SSP) 2016
November 2016
Seybold, Daniel; Wagner, Nicolas; Erb, Benjamin; Domascka, Jörg
Is Elasticity of Scalable Databases a Myth?
4th Workshop on Scalable Cloud Data Management
November 2016
Seybold, Daniel
Towards Cloud-centric Distributed Database Evaluation
In 2nd Cloud Forward, Editor,
Oktober 2016

Zusammenfassung: The evolvement of cloud computing pushed the rethinking of traditional web service architecture from monolithic structures to distributed systems, which will benefit from the cloud offers such as resource pooling or rapid elasticity. Whereas the distribution of the mostly stateless business logic services fits well for distribution in the cloud, the distribution of stateful database services is more challenging. Hence in parallel to the evolvement of cloud computing, distributed databases moved in the focus of academia and industry with the result of variety of distributed database systems, which can be classified in relational databases, NoSQL and NewSQL database systems. Theoretically the current representatives of these three database system classes claim to provide elasticity and “unlimited” horizontal scalability. As the characteristics elasticity and scalability match the cloud offerings, distributed databases seem to be a perfect match for implementing Database-as-a-Service systems (DBaaS). However, academia and industry have already proven significant differences in the elasticity and scalability of distributed databases in specific scenarios. As the cloud stack adds adds another level of complexity to the evaluation of distributed databases, an advanced evaluation framework is required to enable comparable and reproducible evaluations of distributed databases in the cloud. In this context a new approach towards a cloudcentric evaluation framework for distributed databases is proposed, encompassing a model-driven evaluation methodology, an evaluation execution framework and a cloud-centric knowledge base for distributed database scalability and elasticity.

Seybold, Daniel; Woitsch, Robert; Domaschka, Jörg; Wesner, Stefan
BPaaS Execution in CloudSocket
Springer CCIS,
September 2016

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