Auflistung nach Autor:in "Kienegger, Harald"
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- ZeitschriftenartikelElektronisches Geld(Wirtschaftsinformatik: Vol. 49, No. 4, 2007) Kienegger, Harald
- ZeitschriftenartikelStandardisierung der europaweiten Berichterstattung im Rahmen der Messung der Gesamtenergieeffizienz von Gebäuden(Wirtschaftsinformatik: Vol. 49, No. 5, 2007) Gräning, André; Kienegger, HaraldKernpunkteEs besteht keine technische Rahmenvorgabe zur Unterstützung der Berichterstattung im Rahmen der Messung der Energieeffizienz von Gebäuden.Durch die Vorgabe der Europäischen Union entsteht Handlungsbedarf zur Standardisierung der Berichterstattung.Mit XBRL besteht bereits ein Kommunikationsstandard, der im Rahmen der Finanzberichterstattung eingesetzt wird.Anhand unterschiedlicher Kriterien wird untersucht, ob sich XBRL auch auf die Energieeffizienzberichterstattung in Rahmen der Vorgaben der Europäischen Union übertragen lässt.AbstractThe introduction of the European Directive on the Energy Performance of Buildings is a further step taken by the European Union (EU) in order to harmonise the legislation within the 27 member states. However, achieving a high level of legal standardisation, each member country is left alone as far as technical harmonisation is being considered. But this situation leads to different implementations of the directive across the member states and it complicates the comparability across the EU. A supporting approach can be observed in the Basel II and International Financial Reporting Standards (IFRS) implementation of the EU by the Committee of European Banking Supervisors (CEBS) using the eXtensible Business Reporting Language (XBRL). The use of XBRL, being constructed mainly for business reporting data, can be also considered in various other areas. The paper presents an approach to use XBRL as a mean of standardisation for the reporting concerning the energy performance of buildings. The paper addresses the issue of such an approach and can be generalised and applied in other domains.
- KonferenzbeitragTowards Model-based Performance Predictions of SAP Enterprise Applications(Softwaretechnik-Trends Band 39, Heft 3, 2019) Streitz, Adrian; Barnert, Maximilian; Rank, Johannes; Kienegger, Harald; Krcmar, HelmutHigh-performing Enterprise Applications are the basis for efficient running business processes. In order to evaluate software performance, traditional methods refer to complex test scenarios following the development phase and neglect that problems are easier fixable when discovered early. This paper tackles the problem of late performance evaluations and presents a conceptual approach that enables response time predictions for SAP Enterprise Applications during the development phase. We introduce a performance model generator that transforms ABAP source code into Palladio Component Model instances by using Abstract Syntax Trees which allows to conduct early performance simulations. Our approach supports conditional and probabilistic control flows to improve prediction accuracy. Based on subsequent performance simulations, we predict response time of applications and their underlying processing systems.
- KonferenzbeitragUsing OPEN.xtrace and Architecture-Level Models to Predict Workload Performance on In-Memory Database Systems(Softwaretechnik-Trends Band 39, Heft 4, 2019) Barnert, Maximilian; Streitz, Adrian; Rank, Johannes; Kienegger, Harald; Krcmar, HelmutIn-Memory Database Systems (IMDB) come into operation on highly dynamic on-premise and cloud environments. Existing approaches use classical modeling notations such as queuing network models (QN) to reflect performance on IMDB. Changes to workload or hardware come along with a recreation of entire models. At the same time, new paradigms for IMDB increase parallelism within database workload, which intensifies the effort to create and parameterize models. To simplify and reduce the effort for researchers and practitioners to model workload performance on IMDB, we propose the use of architecture level performance models and present a model creation process, which transforms database traces of SAP HANA to the Palladio Component Model (PCM). We evaluate our approach based on experiments using analytical workload. We receive prediction errors for response time and throughput below 4 %.