Patterns grasping the trade-off between distributing data and information
| Autor: | Christian Kreiner, Tobias Rauter, Johannes Iber, Michael Krisper |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Data processing
Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Trade-off computer.software_genre Data science Transfer (computing) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing State (computer science) Data mining Internet of Things business Raw data computer |
| Zdroj: | EuroPLoP TU Graz |
| DOI: | 10.1145/3147704.3147724 |
| Popis: | Today, we are at the dawn of the age of cyber-physical systems and internet of things. One of the commonalities these areas share is that such systems typically consist of networks of entities with means to gather data about the state of the surrounding environment. A fundamental design decision in such settings is whether to transfer data to more capable entities or to analyze data at the sensing entity and to share the resulting information. With this work, we discuss this trade-off by grasping it with three patterns, namely the LOCAL DATA PROCESSING, CENTRAL DATA PROCESSING, and MIXED DATA PROCESSING patterns. |
| Databáze: | OpenAIRE |
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