Examples of using Fault-tolerant in English and their translations into Chinese
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Flink internally uses fault-tolerant streaming data flows, allowing developers to analyze never-ending streams of data that are continuously produced(stream processing).
HDFs is a highly fault-tolerant system that is suitable for deployment on inexpensive machines.
There is no support for clustering, and the Standard Edition is not built for fault-tolerant environments, data centers or other larger enterprise deployments.
HDFs is a highly fault-tolerant system that is suitable for deployment on inexpensive machines.
We believe that writing correct concurrent, fault-tolerant and scalable applications is too hard.
Finally, it is necessary to establish a fault-tolerant and trial-and-error mechanism for reform, and to distinguish between the differences between unintentional mistakes and intentional violations.
Because it enables storing, managing, and processing of streams of data in a fault-tolerant way and supposedly‘wicked fast'.
DDBMS use consensus mechanisms to ensure fault-tolerant communications, and provide concurrency control through locking and/or time-stamping mechanisms.
Similar to decentralized storage projects Filecoin and Storj, Sia aims to create a trustless, fault-tolerant, file storage service.
Hence, all of the RDDs generated from the fault-tolerant data are also fault-tolerant.
The software used to implement these algorithms must be robust and fault-tolerant.”.
With that background, you will be able to understand the difficulties around Byzantine fault-tolerant consensus, the primary security requirement of public blockchains.
Quantcast File System(QFS) is a high-performance, fault-tolerant, distributed file system developed to support MapReduce processing, or other applications reading and writing large files sequentially.
Group membership systems, fault-tolerant replicated state machines, data stores- all the typical distributed systems are at some level predicated upon being able to solve consensus.
A second milestone would be the creation of fault-tolerant quantum computers.
It allows you to store streams of records in a fault-tolerant way.
Elixir: Functional, dynamic, and fault-tolerant for those larger and larger-scale apps.
Spark operates on data on fault-tolerant file systems like HDFS or S3.
Therefore we strongly recommend that you put your log files on fault-tolerant storage.
These centrally hosted and managed systems will require robust and fault-tolerant infrastructure.