A pattern-based prediction: An empirical approach to predict end-to-end network latency
- Authors
- Kim, JunSeong; Yi, Jongsu
- Issue Date
- Nov-2010
- Publisher
- ELSEVIER SCIENCE INC
- Keywords
- End-to-end network latency; Pattern-based method; Latency prediction; Network stability; Network-based applications
- Citation
- JOURNAL OF SYSTEMS AND SOFTWARE, v.83, no.11, pp 2317 - 2321
- Pages
- 5
- Journal Title
- JOURNAL OF SYSTEMS AND SOFTWARE
- Volume
- 83
- Number
- 11
- Start Page
- 2317
- End Page
- 2321
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/22098
- DOI
- 10.1016/j.jss.2010.07.014
- ISSN
- 0164-1212
1873-1228
- Abstract
- Understanding latency in network-based applications has received considerable attention to provide consistent and acceptable levels of services. This paper presents an empirical approach, a pattern-based prediction method, to predict end-to-end network latency. The key idea of the approach is to utilize past history of latency and their variation patterns in latency predictions. After some preliminary study on simple numerical prediction models we examine the effectiveness of the proposed method with real latency data and various definitions of network stability. Our results show that the pattern-based method outperforms any single numerical model obtaining an overall prediction accuracy of 86.2%. Crown Copyright (C) 2010 Published by Elsevier Inc. All rights reserved.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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