Content caching in ICN using Bee-Colony optimization algorithm

Information dissemination has recently been overtaken by the huge media-driven data shared across different platforms.Future Internet shall greatly be concerned about pervasion and ubiquity of data on all devices.Information-Centric Network seems the challenging paradigm that aims at guaranteeing th...

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Main Authors: Abdullahi, Ibrahim, Che Mohamed Arif, Ahmad Suki, Hassan, Suhaidi
Format: Article
Language:English
Published: American Scientific Publishers 2015
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/17674/1/ASL%2021%2011%203538%E2%80%933542.pdf
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author Abdullahi, Ibrahim
Che Mohamed Arif, Ahmad Suki
Hassan, Suhaidi
author_facet Abdullahi, Ibrahim
Che Mohamed Arif, Ahmad Suki
Hassan, Suhaidi
author_sort Abdullahi, Ibrahim
collection UUM
description Information dissemination has recently been overtaken by the huge media-driven data shared across different platforms.Future Internet shall greatly be concerned about pervasion and ubiquity of data on all devices.Information-Centric Network seems the challenging paradigm that aims at guaranteeing the flexibility needed when the data explosion occurs.Caching is thus an option that provides the flexibility that manages data exchange practices. Different caching issues has raised concern about the content flooded all over the Internet.In line with the challenges, Bee-Colony Optimization Algorithm (B-COA) has been proposed in this paper to avail content on the Internet with less referral cost and heavy monopoly of data on hosts.It is believed that the advantages of the grouping and waggle phase could be used to place the contents faster in ICN.
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spelling uum-176742016-04-26T08:26:26Z https://repo.uum.edu.my/id/eprint/17674/ Content caching in ICN using Bee-Colony optimization algorithm Abdullahi, Ibrahim Che Mohamed Arif, Ahmad Suki Hassan, Suhaidi QA75 Electronic computers. Computer science Information dissemination has recently been overtaken by the huge media-driven data shared across different platforms.Future Internet shall greatly be concerned about pervasion and ubiquity of data on all devices.Information-Centric Network seems the challenging paradigm that aims at guaranteeing the flexibility needed when the data explosion occurs.Caching is thus an option that provides the flexibility that manages data exchange practices. Different caching issues has raised concern about the content flooded all over the Internet.In line with the challenges, Bee-Colony Optimization Algorithm (B-COA) has been proposed in this paper to avail content on the Internet with less referral cost and heavy monopoly of data on hosts.It is believed that the advantages of the grouping and waggle phase could be used to place the contents faster in ICN. American Scientific Publishers 2015 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/17674/1/ASL%2021%2011%203538%E2%80%933542.pdf Abdullahi, Ibrahim and Che Mohamed Arif, Ahmad Suki and Hassan, Suhaidi (2015) Content caching in ICN using Bee-Colony optimization algorithm. Advanced Science Letters, 21 (11). pp. 3536-3540. ISSN 1936-6612 http://doi.org/10.1166/asl.2015.6578 doi:10.1166/asl.2015.6578 doi:10.1166/asl.2015.6578
spellingShingle QA75 Electronic computers. Computer science
Abdullahi, Ibrahim
Che Mohamed Arif, Ahmad Suki
Hassan, Suhaidi
Content caching in ICN using Bee-Colony optimization algorithm
title Content caching in ICN using Bee-Colony optimization algorithm
title_full Content caching in ICN using Bee-Colony optimization algorithm
title_fullStr Content caching in ICN using Bee-Colony optimization algorithm
title_full_unstemmed Content caching in ICN using Bee-Colony optimization algorithm
title_short Content caching in ICN using Bee-Colony optimization algorithm
title_sort content caching in icn using bee colony optimization algorithm
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/17674/1/ASL%2021%2011%203538%E2%80%933542.pdf
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AT chemohamedarifahmadsuki contentcachinginicnusingbeecolonyoptimizationalgorithm
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