Examples of using Distributed data in English and their translations into Japanese
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
-
Programming
In particular, I think it is helpful to roughly distinguish between three types of projects: human computation, open call, and distributed data collection(figure 5.1).
Blood-gas instruments management system: Distributed data management application written entirely in C++(using the ACE framework in TAO CORBA), providing monitoring and reporting facilites.
DataCore is a popular choice for distributed data centers and SMBs, as it only requires two nodes for a high-availability, single-site or stretched-cluster configuration.
In terms of theory, research topics include the execution time analysis of directed graphs or scheduling algorithm, and in terms of practice, parallel distributed data processing and high-performance computing.
synchronisation between applications and distributed data stores.
However, eBird, and related projects, indicate that challenges related to sampling and data quality are concerns for distributed data collection projects.
Conventional infrastructure can't easily span across these distributed data islands, making it harder for IT to provide control, visibility, or SLAs.
Many organizations leverage the power of our distributed data centers to maximize critical benefits, such as minimal latency and robust geo-redundancy.
Distributed data is incredibly hard to analyze and using DLT is an expensive way to solve the problems for what are generally cash-strapped HIE initiatives.
These days, most distributed data storage services, like Cassandra, MongoDB, HDFS or Dynamodb all support durability at various levels and can be all configured to provide cluster level durability.
Earlier this month, Amazon won two patents related to methods for protecting the integrity of digital signatures and improving distributed data storage.
In human computation and distributed data collection projects, moreover, the best form of quality control comes through redundancy, not through a high bar for participation.
With the development of intelligent transportation systems, the use of ITS dynamic traffic data detection can greatly improve traffic management, traffic and therefore distributed data management and processing system of the project can be an important tool for traffic management.
Providing a system that can distribute data.
The CCC sometimes distributes data supplied by third parties.
TTC may sometimes distribute data supplied by third parties.
PLDCSS sometimes distributes data supplied by third parties.
DGS sometimes distributes data supplied by third parties.
Essentially, they're the underlying technology and protocol that make distributing data and trust in a decentralized fashion possible.
In data parallelism, the focus is on distributing data across different parallel computing nodes.