A sqrt(N/G) Method for Generating Communication Sets
In the fully meshed network, where every node is connected directly to every other node, network traffic is very high because in the fully meshed network, number of communication links is $\frac{N\times (N-1)}{2}$ and communication cost is $2\times N\times (N-1)$, where $N$ is total number of nodes...
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Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova
2012-02-01
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doaj-800c0b1f69674be794443fac979e62902020-11-24T22:41:45ZengInstitute of Mathematics and Computer Science of the Academy of Sciences of MoldovaComputer Science Journal of Moldova1561-40422012-02-01193(57)288303A sqrt(N/G) Method for Generating Communication SetsRupali Bhardwaj0V.S. Dixit1Anil Kr. Upadhyay2Krishna Institute of Engineering and Technology, Mahamaya Technical University, Noida, IndiaAtmaram Sanatan Dharmshala, Delhi University, Delhi, IndiaMata Rajkaur Institute of Engineering and Technology, Mahrishi Dayanand University, Rohtak, Haryana, IndiaIn the fully meshed network, where every node is connected directly to every other node, network traffic is very high because in the fully meshed network, number of communication links is $\frac{N\times (N-1)}{2}$ and communication cost is $2\times N\times (N-1)$, where $N$ is total number of nodes in the network. To minimize network traffic, we propose an algorithm for generation of communication sets that allows any two nodes to communicate by traversing at most two nodes regardless of the network size by dividing the nodes in the system into subgroups of size $G$ where $G\ge 1$, which are then organized into quorum groups of size $k_{1} = \left(\sqrt{\frac{N}{G} \, } approx.\right)$ in a method similar to that used in Maekawa's algorithm except that now quorum groups are constructed out of subgroups instead of nodes. The performance analysis of the proposed partitioning algorithm shows that it significantly reduces network traffic as well as total number of communication links required for a node to communicate with other nodes in the system.http://www.math.md/files/csjm/v19-n3/v19-n3-(pp288-303).pdfQuorumCoterieCommunication setsNetwork traffic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rupali Bhardwaj V.S. Dixit Anil Kr. Upadhyay |
spellingShingle |
Rupali Bhardwaj V.S. Dixit Anil Kr. Upadhyay A sqrt(N/G) Method for Generating Communication Sets Computer Science Journal of Moldova Quorum Coterie Communication sets Network traffic |
author_facet |
Rupali Bhardwaj V.S. Dixit Anil Kr. Upadhyay |
author_sort |
Rupali Bhardwaj |
title |
A sqrt(N/G) Method for Generating Communication Sets |
title_short |
A sqrt(N/G) Method for Generating Communication Sets |
title_full |
A sqrt(N/G) Method for Generating Communication Sets |
title_fullStr |
A sqrt(N/G) Method for Generating Communication Sets |
title_full_unstemmed |
A sqrt(N/G) Method for Generating Communication Sets |
title_sort |
sqrt(n/g) method for generating communication sets |
publisher |
Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova |
series |
Computer Science Journal of Moldova |
issn |
1561-4042 |
publishDate |
2012-02-01 |
description |
In the fully meshed network, where every node is connected directly to every other node, network traffic is very high because in the fully meshed network, number of communication links is $\frac{N\times (N-1)}{2}$ and communication cost is $2\times N\times (N-1)$, where $N$ is total number of nodes in the network. To minimize network traffic, we propose an algorithm for generation of communication sets that allows any two nodes to communicate by traversing at most two nodes regardless of the network size by dividing the nodes in the system into subgroups of size $G$ where $G\ge 1$, which are then organized into quorum groups of size $k_{1} = \left(\sqrt{\frac{N}{G} \, } approx.\right)$ in a method similar to that used in Maekawa's algorithm except that now quorum groups are constructed out of subgroups instead of nodes. The performance analysis of the proposed partitioning algorithm shows that it significantly reduces network traffic as well as total number of communication links required for a node to communicate with other nodes in the system. |
topic |
Quorum Coterie Communication sets Network traffic |
url |
http://www.math.md/files/csjm/v19-n3/v19-n3-(pp288-303).pdf |
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