Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table
Document Type
Article
Publication Date
10-2013
Publication Title
International Journal of Communications, Network and System Sciences
Volume
6
Issue
10
First page number:
451
Last page number:
458
Abstract
A distributed processing system (DPS) contains many autonomous nodes, which contribute their own computing power. DPS is considered a unified logical structure, operating in a distributed manner; the processing tasks are divided into fragments and assigned to various nodes for processing. That type of operation requires and involves a great deal of communication. We propose to use the decentralized approach, based on a distributed hash table, to reduce the communication overhead and remove the server unit, thus avoiding having a single point of failure in the system. This paper proposes a mathematical model and algorithms that are implemented in a dedicated experimental system. Using the decentralized approach, this study demonstrates the efficient operation of a decentralized system which results in a reduced energy emission.
Keywords
Data transmission; Data transmission systems; Distributed processing; Distributed hash table; Electronic data processing--Distributed processing; Energy dissipation
Disciplines
Electrical and Computer Engineering | Engineering | Systems and Communications
Language
English
Permissions
Copyright Scientific Research Publishing. Used with permission.
Repository Citation
Chmaj, G.,
Latifi, S.
(2013).
Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table.
International Journal of Communications, Network and System Sciences, 6(10),
451-458.
https://digitalscholarship.unlv.edu/ece_fac_articles/835