distributed computing

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distributed computing

[di‚strib·yəd·əd kəm′pyüd·iŋ]
(computer science)
The use of multiple network-connected computers for solving a problem or for information processing.

distributed computing

(1) The use of multiple computers networked throughout a geographical area. The Internet is the world's largest distributed computing platform. See also grid computing.

(2) The use of multiple computers in an enterprise rather than one centralized system. This use of the term was coined in the late 1970s when minicomputers were installed in departments throughout a company instead of deploying terminals to a mainframe. Contrast with centralized processing.
References in periodicals archive ?
We will show that the distributed algorithm can attain the performance of the centralized algorithm by using only the local information at each sensor.
This year, the main topics of Blockchain Practitioner China Conference 2018 included latest global development of the blockchain technology, from crypto technology to distributed algorithm, from main network creation to Dapp development, also blockchain application and regulatory landscape, encompassing finance and payment, medical, distributed power gird, artificial intelligence, internet of things, supply chain management and tracing, IP protection and management, entertainment, audio, video and content industry etc.
The distributed algorithm proposed by authors is capable of detecting non triangular holes and the area of triangular holes.
The max-consensus [21] is a well-known distributed algorithm which makes all the sensor nodes agree on the maximum of the value of their initial state through finite iterations.
Saeednia and Menendez [20] have discussed the truck platooning problem and presented a distributed algorithm based on the average consensus algorithm.
Agent system is adopted for distributed algorithm. Each node has been assigned to a node agent which can communicate with its neighbors and update its local information.
Some nodes find its location with its knowledge and others nodes find their location by a distributed algorithm.
A-LEACH forms clusters by using a distributed Algorithm, where nodes make autonomous decisions without any centralized control.
It is a distributed algorithm where each process can be viewed as running independently on a particular node of an undirected graph.
They presented an efficient centralized algorithm and a distributed algorithm to solve the barrier coverage problem.
By finding the corresponding saddle-points of the Lagrangian function, Zhu and Martinez [14] first proposed a primal-dual consensus distributed algorithm and established the convergence results.
In order to preserve everyone's privacy, we propose a distributed algorithm for the CRR and CRPs to jointly determine the optimal real-time prices and computing resource demand/supply.

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