Typically, the data source is an internet of things (IoT) sensor. ![]() What Is Edge Computing?Įdge computing is the concept of capturing and processing data as close to its source or end user as possible. Chances are that “fuzzy expert knowledge” already available at the production site can be translated into deterministic rules when tested with these data sets.Editor’s note: This blog was updated on Oct. In case of an error, the data preceding the incident can be analyzed and used to find the causes and predict, or even avoid, such an error in the future. With an edge database, the data is persisted and thus available in the event of faulty behavior. Historical data is stored for learning and training to optimize the production line. Catching deviations early reduces down-times and costly repairs. Any slight deviation is immediately detected and reported. A constant stream of high-frequency machine data is compared against the fingerprint of the machine. ![]() With this data machines further down the line can avoid damage / breakpoints of the material.Ĭontinuous machine condition monitoring reduces downtime and increases maintenance efficiency. With an Edge device this data can be evaluated, and the relevant information passed on to the next machine. At this stage, the machine can already detect the differences in the metal compared to a previous batch (deviations are allowed within the DIN standard). ![]() in sheet metal processing, one of the first steps is to cut a sheet to the required size. When the first machine in a production line uses a new batch of material, i.e. Process optimization along the line to increase quality and reduce damage. This ideally includes a range of conflict resolution strategies due to the decentralized and multi-directional structure of the Edge.ĭata security and protection is an increasingly important issue and can quickly become a showstopper for edge projects. There is no more efficient way than at the database level. Accordingly, an edge database must support the management of decentralized data flows. Traditional databases such as MySQL or MongoDB are too large and cumbersome for typical edge devices, and unsuitable for computing at the edge.Īn edge device without data flows to/from other devices is just a data island with very limited utility. It has a small footprint of a few megabytes. įirst, an edge database is optimized for resource efficiency (CPU, memory, …) and performance on resource-constrained devices (embedded devices, IoT, mobile). It removes the burden of implementing underlying functionalities for secure storage and the decentralized synchronization of data. An edge database has specific features that make it easy for application developers to use decentralized data from edge devices when and where needed and focus on value creation. Edge Databases solve these core edge functionalities out-of-the-box, allowing application developers to quickly implement edge solutions.Īn edge database is a new type of database specifically tailored to the unique requirements of the Edge Computing topology. Developers need fast local data persistence and decentralized data flows (Data Sync) to implement edge solutions. Therefore, according to Gartner (2023) “ Edge computing is integral to digital transformation ”, and we need infrastructure technologies for the edge that enable developers to quickly and reliably work with decentralized edge data.Įdge Database (Foundation for Edge Data Management) is a new type of database that addresses these requirements. The dominance of centralized cloud computing approaches slows down digitization and the use of this existing decentralized data. Valuable data is increasingly generated in a decentralized manner – outside traditional and centralized data centers and cloud environments. Edge computing is a decentralized topology for storing and processing data as close as possible to the data source, i.e., the place where the data is produced, at the edge of the network. To drive digitization and extract value from decentralized data, we need to give the cloud an edge, or more precisely add Edge Computing. Cloud computing is centralized.įorcing the decentralized world into the centralized cloud topology is not only inefficient, but also economically, ecologically and socially wasteful – and sometimes simply impossible. ![]() Edge Databases – from trends to use casesĭata is decentralized.
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