Home // ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances // View article
Authors:
Martin Zinner
Kim Feldhoff
Wolfgang E. Nagel
Keywords: Continuous aggregation; Energy efficient computation; Real-time capability; Data Analytics; Data processing; Stream processing; Batch processing; Business Intelligence; Big Data.
Abstract:
A considerable part of data aggregation during information processing in industry is still carried out in nightly batch mode. In contrast, using our method termed Continuous Information Processing Methodology (CIPM), the aggregation can be started as soon as the data collection is initiated. Our method was motivated by a real-world application scenario at a semiconductor company. During the data collection process, partial aggregated values are determined, such that after the data collection phase has been completed, the final aggregated values are available for evaluation. In order to benefit from the rigour of a formal approach, a mathematical model is introduced and the conversion from batch mode to CIPM is exemplified. The most common aggregation functions used in various field of industry and business can be easily adapted and used within CIPM. The major additional benefits of the CIPM are reduced and spread aggregational effort over the whole collection period as well as tightened and straightforward computational design strategies. To conclude, the CIPM supports a paradigm shift from more or less subjectively designed individualistic conceptions in software design and development towards objectively established optimal solutions.
Pages: 155 to 165
Copyright: Copyright (c) IARIA, 2021
Publication date: October 3, 2021
Published in: conference
ISSN: 2308-4235
ISBN: 978-1-61208-894-5
Location: Barcelona, Spain
Dates: from October 3, 2021 to October 7, 2021