Dynamically selecting distribution strategies for web documents according to access pattern

Authors:
Wenyu Qu;Di Wu;Keqiu Li;Hong Shen
Affiliations:
Graduate School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China;College of Computer Science and Technology, Dalian Maritime University, Dalian, China;Graduate School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan
Venue:
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Year:
2005

Citing 8
Cited 0

Generating representative Web workloads for network and server performance evaluation

SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Dynamically Selecting Optimal Distribution Strategies for Web Documents

IEEE Transactions on Computers
WWW Traffic Reduction and Load Balancing through Server-Based Caching

IEEE Parallel & Distributed Technology: Systems & Technology
Caching on the World Wide Web

IEEE Transactions on Knowledge and Data Engineering
An Overview of Data Replication on the Internet

ISPAN '02 Proceedings of the 2002 International Symposium on Parallel Architectures, Algorithms and Networks
Saperlipopette!: a distributed web caching systems evaluation tool

Middleware '98 Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing
Dynamically selecting distribution strategies for web documents according to access pattern

PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Modeling Internet topology

IEEE Communications Magazine

Quantified Score

Hi-index	0.00

Visualization

Abstract

Web caching and replication are efficient techniques for reducing web traffic, user access latency, and server load. 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 use both trace data and statistical data to simulate our methods. 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.