Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table - International Journal of Communications, Network and System Sciences

IJCNS > Vol.6 No.10, October 2013

International Journal of Communications, Network and System Sciences

Volume 6, Issue 10 (October 2013)

ISSN Print: 1913-3715 ISSN Online: 1913-3723

Google-based Impact Factor: 0.66 Citations h5-index & Ranking

Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table ()

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DOI: 10.4236/ijcns.2013.610047 3,332 Downloads 5,103 Views Citations

Author(s)

Grzegorz Chmaj, Shahram Latifi

Affiliation(s)

Department of Electrical and Computer Engineering, University of Nevada Las Vegas, Las Vegas, USA.

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; Distributed Processing; Distributed Hash Table; Energy Dissipation

Share and Cite:

G. Chmaj and S. Latifi, "Decentralization of a Multi Data Source Distributed Processing System Using a Distributed Hash Table," International Journal of Communications, Network and System Sciences, Vol. 6 No. 10, 2013, pp. 451-458. doi: 10.4236/ijcns.2013.610047.

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