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Time series forecasting for dynamic quality of web services: An empirical study

  • Published:2017-12 Issue: Volume:134 Page:279-303
  • ISSN:0164-1212
  • Container-title:Journal of Systems and Software
  • language:en
  • Short-container-title:Journal of Systems and Software

Author:

Syu Yang,Kuo Jong-Yih,Fanjiang Yong-Yi

Funder

Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference41 articles.

1. On the genetic programming of time-series predictors for supply chain management;Agapitos,2008

2. An approach to forecasting QoS attributes of web services based on ARIMA and GARCH models;Amin,2012

3. An automated approach to forecasting QoS attributes based on linear and non-linear time series modeling;Amin,2012

4. Can genetic programming improve software effort estimation? A comparative evaluation;Burgess;Inf. Softw. Technol.,2001

5. An empirical comparison of methods to support QoS-aware service selection;Cavallo,2010

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1. Time Series Forecasting of Runtime Software Metrics: An Empirical Study;Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering;2024-05-07

2. FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction;IEEE Transactions on Services Computing;2024-05

3. Qos-based web service selection using time-aware collaborative filtering: a literature review;Computing;2024-04-09

4. Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach;Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

5. Exploiting Predictability of Random Vector Functional Link Networks in Forecasting Quality of Service (QoS) Parameters of IoT-Based Web Services Data;International Journal of Sensors, Wireless Communications and Control;2023-04
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