A Robust Distributed Clustering of Large Data Sets on a Grid of Commodity Machines

A Robust Distributed Clustering of Large Data Sets on a Grid of Commodity Machines

Distributed clustering algorithms have proven to be effective in dramatically reducing execution time. However, distributed environments are characterized by a high rate of failure. Nodes can easily become unreachable. Furthermore, it is not guaranteed that messages are delivered to their destinatio...

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Bibliographic Details
Main Authors: Salah Taamneh, Mo’taz Al-Hami, Hani Bani-Salameh, Alaa E. Abdallah
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Data
Subjects:
k-means clustering
distributed k-means algorithm
actor model
active replication
passive replication
peer-to-peer network
Online Access:https://www.mdpi.com/2306-5729/6/7/73

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https://www.mdpi.com/2306-5729/6/7/73

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