DocumentCode :
2950528
Title :
Mathematical modelling approach in web cache scheme
Author :
Bitarafan, Katayoon ; Ariffin, Nor Hapiza ; Noor, Nor Laila Md ; Bateni, Nariman Heydari
Author_Institution :
Fac. of Comput. Sci. & Math. UiTM, Univ. Technol. MARA, Shah Alam, Malaysia
fYear :
2011
fDate :
23-24 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
A scalable website guarantee future information system by supporting additional users. Web caching has been proven to be a highly efficient method in reducing the network bandwidth consumption, as well as improving website scalability. In a web cache placement strategy, an important issue is to utilize the available resources by performing a cache placement to achieve the desirable scalability. The current study has tried to explore the scalability improvement strategies by taking advantage from the distributed cache placement technique. A Finite Series Model (FSM) was introduced to analyze the hit ratio saving resulted from the copies made in the cache for the requested objects. By using this model, the scalability problem can be formulated as a function of the object requests that hit the server successfully. This study also proved that the hit ratio for a single object on the origin server along adopted cache schemes follows the finite series functions. As a result, it was possible to achieve the mathematical solution by using such series.
Keywords :
Web sites; cache storage; information systems; series (mathematics); Web cache placement strategy; Web site scalability; finite series model; information system; mathematical modelling approach; network bandwidth consumption; scalability improvement strategy; Servers; Caching; Finite Series; client-cache; distributed-cache; mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research and Innovation in Information Systems (ICRIIS), 2011 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-61284-295-0
Type :
conf
DOI :
10.1109/ICRIIS.2011.6125752
Filename :
6125752
Link To Document :
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