Design and implementation of autonomic simulator

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

doi:10.1109/ISCMI47871.2019.9004390

Design and implementation of autonomic simulator

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

British Telecom

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

111 Downloads (Pure)

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 language	English
Title of host publication	2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	116-120
Number of pages	5
ISBN (Electronic)	9781728145778
DOIs	https://doi.org/10.1109/ISCMI47871.2019.9004390
Publication status	Published (in print/issue) - 20 Feb 2020
Event	6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019 - Johannesburg, South Africa Duration: 19 Nov 2019 → 20 Nov 2019

Publication series

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

Conference

Conference	6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
Country/Territory	South Africa
City	Johannesburg
Period	19/11/19 → 20/11/19

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.

Funding

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

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

Access to Document

10.1109/ISCMI47871.2019.9004390

Design_and_Implementation_of_Autonomic_Simulator DCharles accepted versionAuthor Accepted Manuscript, 557 KB

Cite this

Ali, Z., Virginas, B., Scotney, B., Charles, D., & Ramezani, A. (2020). Design and implementation of autonomic simulator. In 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019 (pp. 116-120). Article 9004390 (2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCMI47871.2019.9004390

@inproceedings{c2951adde0f3490a965689edd86037f1,

title = "Design and implementation of autonomic simulator",

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.",

keywords = "Business policy, Cost and quality, Decision tree, Self-adaptive system, Stability",

author = "Zulfiqar Ali and Botond Virginas and Bryan Scotney and Darryl Charles and Anousheh Ramezani",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by BTIIC (BT Ireland Innovation Centre), funded by BT and Invest Northern Ireland. Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019 ; Conference date: 19-11-2019 Through 20-11-2019",

year = "2020",

month = feb,

day = "20",

doi = "10.1109/ISCMI47871.2019.9004390",

language = "English",

series = "2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "116--120",

booktitle = "2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019",

address = "United States",

}

Ali, Z, Virginas, B, Scotney, B , Charles, D & Ramezani, A 2020, Design and implementation of autonomic simulator. in 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019., 9004390, 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019, Institute of Electrical and Electronics Engineers Inc., pp. 116-120, 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019, Johannesburg, South Africa, 19/11/19. https://doi.org/10.1109/ISCMI47871.2019.9004390

Design and implementation of autonomic simulator. / Ali, Zulfiqar; Virginas, Botond; Scotney, Bryan et al.
2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019. Institute of Electrical and Electronics Engineers Inc., 2020. p. 116-120 9004390 (2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Design and implementation of autonomic simulator

AU - Ali, Zulfiqar

AU - Virginas, Botond

AU - Scotney, Bryan

AU - Charles, Darryl

AU - Ramezani, Anousheh

PY - 2020/2/20

Y1 - 2020/2/20

N2 - 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.

AB - 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.

KW - Business policy

KW - Cost and quality

KW - Decision tree

KW - Self-adaptive system

KW - Stability

UR - https://www.scopus.com/pages/publications/85081641275

U2 - 10.1109/ISCMI47871.2019.9004390

DO - 10.1109/ISCMI47871.2019.9004390

M3 - Conference contribution

AN - SCOPUS:85081641275

T3 - 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019

SP - 116

EP - 120

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019

Y2 - 19 November 2019 through 20 November 2019

ER -

Ali Z, Virginas B, Scotney B , Charles D, Ramezani A. Design and implementation of autonomic simulator. In 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019. Institute of Electrical and Electronics Engineers Inc. 2020. p. 116-120. 9004390. (2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019). doi: 10.1109/ISCMI47871.2019.9004390

Design and implementation of autonomic simulator

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Automated customer management with sequential pattern mining of journey data logs

Cite this

Design and implementation of autonomic simulator

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

Automated customer management with sequential pattern mining of journey data logs

Cite this