Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/42092
Title: Exploiting fine grained parallelism for acceleration of Web retrieval
Authors: Yuan, J. 
Chi, C.-H. 
Sun, Q.
Issue Date: 2005
Source: Yuan, J.,Chi, C.-H.,Sun, Q. (2005). Exploiting fine grained parallelism for acceleration of Web retrieval. Lecture Notes in Computer Science 3597 : 125-134. ScholarBank@NUS Repository.
Abstract: The World Wide Web is the most popular application of the Internet. Web retrieval latency is one of the most important issues in web services and applications. With the increasing number of digital materials appearing in web pages, there emerges a special issue regarding the acceleration of pages containing big web objects. Existing acceleration mechanisms are not effective in this aspect. In this paper, we propose a fine-grained Intra-Object Parallelism (IOP) to address this problem. Our results show that this mechanism can achieve significant improvement on retrieval latency for big objects. © Springer-Verlag Berlin Heidelberg 2005.
Source Title: Lecture Notes in Computer Science
URI: http://scholarbank.nus.edu.sg/handle/10635/42092
ISSN: 03029743
Appears in Collections:Staff Publications

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