Design and implementation of autonomic simulator

Zulfiqar Ali, Botond Virginas, Bryan Scotney, Darryl Charles, Anousheh Ramezani

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Abstract

Autonomic systems have broad scope in the telecommunication industry, where the prime objective is to provide quality services to customers whilst obeying certain financial constraints. Therefore, an autonomic system is designed and developed in this study to determine a trade-off between cost and quality. The developed simulator is capable of responding to unforeseen changes appearing over time as well as in business policy without human intervention. It learns from data using a machine learning algorithm and performs classification to assign the instances of data to corresponding groups. Various experiments are carried out to observe the performance and behaviour of the simulator.

Original languageEnglish
Title of host publication2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-120
Number of pages5
ISBN (Electronic)9781728145778
DOIs
Publication statusPublished - 20 Feb 2020
Event6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019 - Johannesburg, South Africa
Duration: 19 Nov 201920 Nov 2019

Publication series

Name2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019

Conference

Conference6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
Country/TerritorySouth Africa
CityJohannesburg
Period19/11/1920/11/19

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by BTIIC (BT Ireland Innovation Centre), funded by BT and Invest Northern Ireland.

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Business policy
  • Cost and quality
  • Decision tree
  • Self-adaptive system
  • Stability

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