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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Li, K., Shen, H. (2004). Dynamically Selecting Distribution Strategies for Web Documents According to Access Pattern. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_106
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DOI: https://doi.org/10.1007/978-3-540-30501-9_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
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