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Published in:

Volume 5 Issue 4
April-2018
eISSN: 2349-5162

Unique Identifier

JETIR1804076

Page Number

401-409

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Title

SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)

ISSN

2349-5162

Cite This Article

"SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.401-409, April-2018, Available :http://www.jetir.org/papers/JETIR1804076.pdf

Abstract

The optimization work conducted here is based on Teaching Learning Based Optimization (TLBO). This method optimizes multiple competing parameters to obtain an optimal value which reflect the current state of a particular link from which a fog device may interact for either sending or rendering data from a cache. The paper illustrates mesh topology with which the fog infrastructure works closer to the rare life scenarios. The algorithm computed the cost of sending and receiving cache data in the Fog Zone using three parameters (Bandwidth, download rate and distance of the best route) that help us understanding the behavior of the Fog devices.

Key Words

TLBO (Teaching Learning Based Optimization), optimization, caching, fog device.

Cite This Article

"SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp401-409, April-2018, Available at : http://www.jetir.org/papers/JETIR1804076.pdf

Publication Details

Published Paper ID: JETIR1804076
Registration ID: 181070
Published In: Volume 5 | Issue 4 | Year April-2018
DOI (Digital Object Identifier):
Page No: 401-409
ISSN Number: 2349-5162

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Cite This Article

"SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp401-409, April-2018, Available at : http://www.jetir.org/papers/JETIR1804076.pdf




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