Examples of using Distributed data in English and their translations into Arabic
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Distributed data centre(tier 1).
Web maps can combine distributed data sources.
The Distributed Data Protocol.
Tier 1: In-mission, on-site(distributed data centres).
Distributed data collection(section 5.4).
Bit By Bit- Creating mass collaboration- 5.4 Distributed data collection.
Table 5.3: Examples of distributed data collection projects in social research.
Share their views and analyze events and read what is being distributed data and publications.
Purdam(2014) described a distributed data collection about begging in London.
PhotoCity solves the data quality and sampling problems in distributed data collection.
As eBird demonstrates, distributed data collection can be used for scientific research.
Plant Names for the 21st Century:The International Plant Names Index, a Distributed Data Source of General Accessibility".
In distributed data collection projects, researchers enable participants to contribute new measurements of the world.
The International Plant Names Index a Distributed Data Source of General Accessibility.
Distributed data collection is possible, and in the future will likely involve technology and passive participation.
IP networks are an attractive platform for distributed data sources AV into control room operations.
But it is not a law of nature that centralized data processing is always less efficient than distributed data processing.
And find ways to make sure the distributed data processing is at least as efficient as centralized data processing.
Overall, the PhotoCity project shows that sampling anddata quality are not insurmountable problems in distributed data collection.
With the introduction of the distributed data centre model, the load(data transmission) is distributed between the mission headquarters and the mission logistics base.
I choose to include it as an open call because it has a contest-like structure andonly the best contributions are used(whereas with distributed data collection, the idea of good and bad contributions is less clear).
In human computation and distributed data collection projects, on the other hand, the best form of quality control comes through redundancy, not a high bar for participation.
With the rise of artificial intelligence and machine learning, it might become feasible to process enormous amounts of information very efficiently in one place, to take all the decisions in one place, andthen centralized data processing will be more efficient than distributed data processing.
In the absence of distributed data centres, the partial or complete loss of the data centre would seriously impact the mission ' s ability to continue daily operations.
Furthermore, CEOP has also developed, in cooperation with CEOS, a data integration function called theWorking Group on Information Systems Services-CEOP Distributed Data Integration System, developed at the Japanese Space Agency and the Remote Sensing Technology Center of Japan.
For example, in the absence of a distributed data centre(tier 1), all mission staff would have to relocate to an off-site location in the event of a small, localized disruption to the operation of one data centre.
Unlike traditional software where your data is stored in a central location on servers requiring maintenance, staff, and regular backups, we use blockchains as our foundation.This allows globally distributed data with limitless redundancy. Eliminating the need for backups, maintenance, staff, and the rent or purchase of expensive hardware.
The approach comprises on-site distributed data centres(tier 1); an off-site operational facility located in the mission ' s theatre of operations in selected missions in cases where security assessments warrant(tier 2); and out-of-theatre data backup in the United Nations Logistics Base(tier 3).
Unlike traditional software where your data is in a central location on servers requiring maintenance, staff and regular backups, we use blockchains as our foundation.This allows globally distributed data with limitless redundancy eliminating the need for backups, maintenance, staff and the rent or purchase of expensive hardware. For free.
Because of the progress of the times our country s informationhas also been vigorously developed Distributed data acquisition has become a comprehensive problem that needs to be improved and systematically managed in the process of industrialized data acquisition and systematic analysis The development of information.