Intelligent prefetch in WWW based on forecast

Yongsheng Hao; Liqun Yang; Guanfeng Liu; Shiqiang Li

Intelligent prefetch in WWW based on forecast

Yongsheng Hao^*, Liqun Yang, Guanfeng Liu, Shiqiang Li

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

Abstract

Improving the latency perceived by a web client has drawn a lot of attention from researchers. Prefetching is a way for it. Previously, much attention had been given to the client behaviors. In this paper, we pay attention to server side algorithm and proxy side algorithm. First, we forecast the URL which most likely be visited by user and prefetch those in RAM on the server. At the same time, we also give direction to client to prefetch URLs based on the record visiting history of a user client. Simulations prove that the algorithm of server side can keep the hit rate at a really high level and the prefetch algorithm also can help to reduce latency for clients.

Original language	English
Title of host publication	2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009
Pages	9-12
Number of pages	4
Publication status	Published - 2009
Event	2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009 - Sanya, China Duration: 8 Aug 2009 → 9 Aug 2009

Other

Other	2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009
Country/Territory	China
City	Sanya
Period	8/08/09 → 9/08/09

Keywords

Intelligent prefetch
Proxy side
Server side

Cite this

@inproceedings{9dceba8ced8c46a195d13fcb9978ed60,

title = "Intelligent prefetch in WWW based on forecast",

abstract = "Improving the latency perceived by a web client has drawn a lot of attention from researchers. Prefetching is a way for it. Previously, much attention had been given to the client behaviors. In this paper, we pay attention to server side algorithm and proxy side algorithm. First, we forecast the URL which most likely be visited by user and prefetch those in RAM on the server. At the same time, we also give direction to client to prefetch URLs based on the record visiting history of a user client. Simulations prove that the algorithm of server side can keep the hit rate at a really high level and the prefetch algorithm also can help to reduce latency for clients.",

keywords = "Intelligent prefetch, Proxy side, Server side",

author = "Yongsheng Hao and Liqun Yang and Guanfeng Liu and Shiqiang Li",

year = "2009",

language = "English",

isbn = "9789881824219",

pages = "9--12",

booktitle = "2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009",

note = "2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009 ; Conference date: 08-08-2009 Through 09-08-2009",

}

TY - GEN

T1 - Intelligent prefetch in WWW based on forecast

AU - Hao, Yongsheng

AU - Yang, Liqun

AU - Liu, Guanfeng

AU - Li, Shiqiang

PY - 2009

Y1 - 2009

N2 - Improving the latency perceived by a web client has drawn a lot of attention from researchers. Prefetching is a way for it. Previously, much attention had been given to the client behaviors. In this paper, we pay attention to server side algorithm and proxy side algorithm. First, we forecast the URL which most likely be visited by user and prefetch those in RAM on the server. At the same time, we also give direction to client to prefetch URLs based on the record visiting history of a user client. Simulations prove that the algorithm of server side can keep the hit rate at a really high level and the prefetch algorithm also can help to reduce latency for clients.

AB - Improving the latency perceived by a web client has drawn a lot of attention from researchers. Prefetching is a way for it. Previously, much attention had been given to the client behaviors. In this paper, we pay attention to server side algorithm and proxy side algorithm. First, we forecast the URL which most likely be visited by user and prefetch those in RAM on the server. At the same time, we also give direction to client to prefetch URLs based on the record visiting history of a user client. Simulations prove that the algorithm of server side can keep the hit rate at a really high level and the prefetch algorithm also can help to reduce latency for clients.

KW - Intelligent prefetch

KW - Proxy side

KW - Server side

UR - https://www.scopus.com/pages/publications/77950117996

M3 - Conference proceeding contribution

AN - SCOPUS:77950117996

SN - 9789881824219

SP - 9

EP - 12

BT - 2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009

T2 - 2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009

Y2 - 8 August 2009 through 9 August 2009

ER -

Intelligent prefetch in WWW based on forecast

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Keywords

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