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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publishers
2015
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/17674/1/ASL%2021%2011%203538%E2%80%933542.pdf http://repo.uum.edu.my/17674/ http://doi.org/10.1166/asl.2015.6578 |
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| Summary: | 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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