2012 ©
Journal Publication
Research Title A Novel Web Caching Scheme using Hybrid Least Frequently Used and Support Vector Machine  
Date of Distribution 15 July 2016 
     Title of the Conference 2016 The 13'th International Joint Conference on Computer Science and Software Engineering 
     Organiser Department of Computer Science, Faculty of Science, Khon Kaen University 
     Conference Place Pullman Khon Kaen Raja Orchid 
     Province/State Khon Kaen 
     Conference Date 13 July 2016 
     To 15 July 2016 
Proceeding Paper
     Volume 2016 
     Page 11 
     Abstract The gargantuan uses of web access in various types of applications, such as text, image, audio, and video, across the globe have caused the limitation for service providers to optimally make use of Internet infrastructure. The advance of web proxy/caching has recently been in place to mitigate this phenomenon using the concept of locality and proximity. There exist some traditional caching schemes, such as FIFO, LFU, LRU, and Size, but with key limitations on the precision. On the other hands, soft computing has recently been investigated due to its advantage of high precision. Thus, this paper proposes a novel caching method by integrating these twos. SVM was first used for classification, to divide the caching probability - to be replaced or else. Then, LFU was applied for the actual replacement given new web objects (if cache full); and these are Hybrid LFU-SVM. Its performance is practically confirmed from our intensive evaluation against SVMLRU and its traditional schemes like LFU and LRU in order of 14% to 52.3% and 18% to 63.2%, for hit and byte hit rate, respectively, using a standard NLANR dataset. 
565020215-3 Mr. PHET IMTONGKHUM [Main Author]
Science Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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