Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm
Delivering media objects to the end users is one of the advantages of World Wide Web (WWW). Web caching plays a key role in this advantage. However, the size of the cache is limited which is considered as one of the drawbacks of web caching. Furthermore, retrieving the same media object from the ori...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/39249/ http://psasir.upm.edu.my/id/eprint/39249/1/39249.pdf |
| _version_ | 1848849093142511616 |
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| author | Ibrahim, Hamidah Yasin, Waheed Abdul Hamid, Nor Asilah Wati Udzir, Nur Izura |
| author_facet | Ibrahim, Hamidah Yasin, Waheed Abdul Hamid, Nor Asilah Wati Udzir, Nur Izura |
| author_sort | Ibrahim, Hamidah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Delivering media objects to the end users is one of the advantages of World Wide Web (WWW). Web caching plays a key role in this advantage. However, the size of the cache is limited which is considered as one of the drawbacks of web caching. Furthermore, retrieving the same media object from the origin server many times consumes the network bandwidth. Moreover, cache pollution is a drawback of traditional web caching policies such as Least Frequently Used (LFU), Least Recently Used (LRU), and Greedy Dual Size (GDS) where web objects that are stored in the cache are not visited frequently. In this work, new intelligent cooperative web caching approaches based on decision tree supervised machine learning algorithm are presented. A simulation is carried out to evaluate the performance of the proposed approaches. The results show that the new approaches improve the performance of the traditional web caching policies. |
| first_indexed | 2025-11-15T09:44:54Z |
| format | Conference or Workshop Item |
| id | upm-39249 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:44:54Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-392492016-07-29T08:07:11Z http://psasir.upm.edu.my/id/eprint/39249/ Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm Ibrahim, Hamidah Yasin, Waheed Abdul Hamid, Nor Asilah Wati Udzir, Nur Izura Delivering media objects to the end users is one of the advantages of World Wide Web (WWW). Web caching plays a key role in this advantage. However, the size of the cache is limited which is considered as one of the drawbacks of web caching. Furthermore, retrieving the same media object from the origin server many times consumes the network bandwidth. Moreover, cache pollution is a drawback of traditional web caching policies such as Least Frequently Used (LFU), Least Recently Used (LRU), and Greedy Dual Size (GDS) where web objects that are stored in the cache are not visited frequently. In this work, new intelligent cooperative web caching approaches based on decision tree supervised machine learning algorithm are presented. A simulation is carried out to evaluate the performance of the proposed approaches. The results show that the new approaches improve the performance of the traditional web caching policies. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39249/1/39249.pdf Ibrahim, Hamidah and Yasin, Waheed and Abdul Hamid, Nor Asilah Wati and Udzir, Nur Izura (2014) Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm. In: Malaysian National Conference of Databases 2014 (MaNCoD 2014), 17 Sept. 2014, Universiti Putra Malaysia, Serdang, Selangor. (pp. 69-74). (Unpublished) http://mancod2014.blogspot.my/p/proceedings.html |
| spellingShingle | Ibrahim, Hamidah Yasin, Waheed Abdul Hamid, Nor Asilah Wati Udzir, Nur Izura Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title | Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title_full | Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title_fullStr | Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title_full_unstemmed | Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title_short | Intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| title_sort | intelligent cooperative web caching policies for media objects based on decision tree supervised machine learning algorithm |
| url | http://psasir.upm.edu.my/id/eprint/39249/ http://psasir.upm.edu.my/id/eprint/39249/ http://psasir.upm.edu.my/id/eprint/39249/1/39249.pdf |