The present and future of large-scale systems modeling and engineering

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Abstract

Today’s society and organizations rely on large-scale and ultra-large scale IT systems. Large-scale IT systems drive social and organizational change. We find them as the backbone of what we call the digital society, the digital economy, the fourth industrial revolution and so forth. Large scale-systems show as systems of systems or IT system landscapes. They show as data-intensive systems, workflow-intensive systems, massively resource-intensive systems, highly distributed systems. How to deal with the complexity of large-scale systems? How to approach architecture, design, realization and management of large-scale systems in systematic and rigorous ways? In this talk we attempt a foundational review of modeling and engineering techniques available for large-scale systems. From this, we try to understand possible pathways, both shortterm and long-term, of large-scale systems modeling and engineering.

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Draheim, D. (2016). The present and future of large-scale systems modeling and engineering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10018 LNCS, pp. 355–370). Springer Verlag. https://doi.org/10.1007/978-3-319-48057-2_25

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