system, time-shared - определение. Что такое system, time-shared
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Что (кто) такое system, time-shared - определение

Shared-nothing; Shared-nothing system; Shared nothing; Shared nothing cluster; Shared nothing architecture

time-sharing         
  • [[Unix]] time-sharing at the [[University of Wisconsin]], 1978
METHOD OF SHARING A COMPUTING RESOURCE AMONG MULTIPLE USERS
Computer/Time-sharing; Time sharing; Time Sharing; Timesharing; Time-Sharing; Time share computer system; Time-sharing system; Time-sharing operating system
<operating system> (Or "timesharing") An operating system feature allowing several users to run several tasks concurrently on one processor, or in parallel on many processors, usually providing each user with his own terminal for input and output. time-sharing is multitasking for multiple users. (1998-04-24)
Time-sharing         
  • [[Unix]] time-sharing at the [[University of Wisconsin]], 1978
METHOD OF SHARING A COMPUTING RESOURCE AMONG MULTIPLE USERS
Computer/Time-sharing; Time sharing; Time Sharing; Timesharing; Time-Sharing; Time share computer system; Time-sharing system; Time-sharing operating system
In computing, time-sharing is the sharing of a computing resource among many users at the same time by means of multiprogramming and multi-tasking.DEC Timesharing (1965), by Peter Clark, The DEC Professional, Volume 1, Number 1
Time-triggered architecture         
COMPUTER SYSTEM WITH PRE-DETERMINED TASK SCHEDULE
Draft:Time-Triggered system; Draft:Time-triggered system; TT system; TT embedded system; Time-triggered embedded system; Time-Triggered system; Time triggered system; Time-triggered system
Time-triggered architecture (abbreviated as TTA), also known as a time-triggered system, is a computer system that executes one or more sets of tasks according to a pre-determined and set task schedule.Pont, M.

Википедия

Shared-nothing architecture

A shared-nothing architecture (SN) is a distributed computing architecture in which each update request is satisfied by a single node (processor/memory/storage unit) in a computer cluster. The intent is to eliminate contention among nodes. Nodes do not share (independently access) the same memory or storage. One alternative architecture is shared everything, in which requests are satisfied by arbitrary combinations of nodes. This may introduce contention, as multiple nodes may seek to update the same data at the same time.

SN eliminates single points of failure, allowing the overall system to continue operating despite failures in individual nodes and allowing individual nodes to upgrade hardware or software without a system-wide shutdown.

A SN system can scale simply by adding nodes, since no central resource bottlenecks the system. In databases, a term for the part of a database on a single node is a shard. A SN system typically partitions its data among many nodes. A refinement is to replicate commonly used but infrequently modified data across many nodes, allowing more requests to be resolved on a single node.