Читать книгу Understanding Infrastructure Edge Computing - Alex Marcham - Страница 29

Data gravity refers to the challenge of moving large amounts of data. To move data from where it was collected or generated to a location where it can be processed or stored requires energy which can be expressed both in terms of network and processing resources as well as financial cost, which can be prohibitive when dealing with a large amount of data that has real‐time processing needs.

Additionally, many individual pieces of data that are collected or generated can, once processed, be considered noise as they do not significantly contribute to the insight which can be generated by the analysis of the data. Before processing occurs, however, it is difficult to know which pieces of data can be discarded as insignificant, and an individual device may not have all of the contextual information or the analytic processing power available to accurately make this judgement. This makes the use of infrastructure edge computing key as this processing can occur comparatively close to the source of the data before the resulting insight is sent back to a regional data centre for long‐term data storage.