Dynamically selecting distribution strategies for web documents according to access pattern

Authors:
Keqiu Li;Hong Shen
Affiliations:
Graduate School of Information Science, Japan Advanced Institute of Science and Technology;Graduate School of Information Science, Japan Advanced Institute of Science and Technology
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

Citing 2
Cited 1

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Dynamically selecting distribution strategies for web documents according to access pattern

EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing

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Abstract

In this paper we present a group-based method for dynamically selecting distribution strategies for web documents according to access patterns. The documents are divided into groups according to access patterns and the documents in each group are assigned to the same distribution strategy. Our group-based model combines performance metrics with the different weights assigned to each of them. We also use trace data to simulate our method. The experimental results show that our group-based method for document distribution strategy selection can improve several performance metrics, while keeping others almost the same.