Standard
Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge. /
Elhabbash, Abdessalam; Bahsoon, Rami; Tino, Peter et al.
Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021. ed. / Carl K. Chang; Ernesto Damiani; Jing Fan; Parisa Ghodous; Michael Maximilien; Zhongjie Wang; Robert Ward; Jia Zhang. IEEE, 2021. p. 712-723 (Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Elhabbash, A, Bahsoon, R, Tino, P, Lewis, PR
& Elkhatib, Y 2021,
Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge. in CK Chang, E Damiani, J Fan, P Ghodous, M Maximilien, Z Wang, R Ward & J Zhang (eds),
Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021. Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021, IEEE, pp. 712-723.
https://doi.org/10.1109/ICWS53863.2021.00099
APA
Elhabbash, A., Bahsoon, R., Tino, P., Lewis, P. R.
, & Elkhatib, Y. (2021).
Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge. In C. K. Chang, E. Damiani, J. Fan, P. Ghodous, M. Maximilien, Z. Wang, R. Ward, & J. Zhang (Eds.),
Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021 (pp. 712-723). (Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021). IEEE.
https://doi.org/10.1109/ICWS53863.2021.00099
Vancouver
Elhabbash A, Bahsoon R, Tino P, Lewis PR
, Elkhatib Y.
Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge. In Chang CK, Damiani E, Fan J, Ghodous P, Maximilien M, Wang Z, Ward R, Zhang J, editors, Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021. IEEE. 2021. p. 712-723. (Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021). Epub 2021 Oct 5. doi: 10.1109/ICWS53863.2021.00099
Author
Bibtex
@inproceedings{579651d74027404fb959c25b05b5045f,
title = "Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge",
abstract = "Self-awareness is a crucial capability of autonomous service-based systems that enables them to self-adapt. There are different types of self-awareness whereby certain types of knowledge are captured at various levels. We argue that effective management of the trade-offs of dependability requirements can be achieved through 'seamless' switching between different levels of awareness. However, the assessment of the quality of knowledge to enable dynamic switching between self-awareness levels has not been tackled yet. We propose a general architecture that exploits symbiotic simulation in order to tackle the complexity of assessing the quality of knowledge and attaining the meta-self-awareness property, wherein the system can reflect on its different levels of awareness. We conduct a thorough real-world study in the context of volunteer services. We conclude that a system made meta-self-aware using our approach achieves optimal performance by activating the most suitable awareness level. This comes at the cost of a modest computational overhead.",
author = "Abdessalam Elhabbash and Rami Bahsoon and Peter Tino and Lewis, {Peter R} and Yehia Elkhatib",
year = "2021",
month = nov,
day = "11",
doi = "10.1109/ICWS53863.2021.00099",
language = "English",
isbn = "9781665416825",
series = "Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021",
publisher = "IEEE",
pages = "712--723",
editor = "Chang, {Carl K.} and Ernesto Damiani and Jing Fan and Parisa Ghodous and Michael Maximilien and Zhongjie Wang and Robert Ward and Jia Zhang",
booktitle = "Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021",
}
RIS
TY - GEN
T1 - Attaining Meta-self-awareness through Assessment of Quality-of-Knowledge
AU - Elhabbash, Abdessalam
AU - Bahsoon, Rami
AU - Tino, Peter
AU - Lewis, Peter R
AU - Elkhatib, Yehia
PY - 2021/11/11
Y1 - 2021/11/11
N2 - Self-awareness is a crucial capability of autonomous service-based systems that enables them to self-adapt. There are different types of self-awareness whereby certain types of knowledge are captured at various levels. We argue that effective management of the trade-offs of dependability requirements can be achieved through 'seamless' switching between different levels of awareness. However, the assessment of the quality of knowledge to enable dynamic switching between self-awareness levels has not been tackled yet. We propose a general architecture that exploits symbiotic simulation in order to tackle the complexity of assessing the quality of knowledge and attaining the meta-self-awareness property, wherein the system can reflect on its different levels of awareness. We conduct a thorough real-world study in the context of volunteer services. We conclude that a system made meta-self-aware using our approach achieves optimal performance by activating the most suitable awareness level. This comes at the cost of a modest computational overhead.
AB - Self-awareness is a crucial capability of autonomous service-based systems that enables them to self-adapt. There are different types of self-awareness whereby certain types of knowledge are captured at various levels. We argue that effective management of the trade-offs of dependability requirements can be achieved through 'seamless' switching between different levels of awareness. However, the assessment of the quality of knowledge to enable dynamic switching between self-awareness levels has not been tackled yet. We propose a general architecture that exploits symbiotic simulation in order to tackle the complexity of assessing the quality of knowledge and attaining the meta-self-awareness property, wherein the system can reflect on its different levels of awareness. We conduct a thorough real-world study in the context of volunteer services. We conclude that a system made meta-self-aware using our approach achieves optimal performance by activating the most suitable awareness level. This comes at the cost of a modest computational overhead.
U2 - 10.1109/ICWS53863.2021.00099
DO - 10.1109/ICWS53863.2021.00099
M3 - Conference contribution/Paper
SN - 9781665416825
T3 - Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021
SP - 712
EP - 723
BT - Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021
A2 - Chang, Carl K.
A2 - Damiani, Ernesto
A2 - Fan, Jing
A2 - Ghodous, Parisa
A2 - Maximilien, Michael
A2 - Wang, Zhongjie
A2 - Ward, Robert
A2 - Zhang, Jia
PB - IEEE
ER -
