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Envisioning SLO-driven Service Selection in Multi-cloud Applications

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Envisioning SLO-driven Service Selection in Multi-cloud Applications. / Elhabbash, Abdessalam; Elkhatib, Yehia; Blair, Gordon; Lin, Yuhui; Barker, Adam; Thomson, John.

Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. IEEE/ACM, 2019. p. 9-14.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Elhabbash, A, Elkhatib, Y, Blair, G, Lin, Y, Barker, A & Thomson, J 2019, Envisioning SLO-driven Service Selection in Multi-cloud Applications. in Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. IEEE/ACM, pp. 9-14. https://doi.org/10.1145/3368235.3368831

APA

Elhabbash, A., Elkhatib, Y., Blair, G., Lin, Y., Barker, A., & Thomson, J. (2019). Envisioning SLO-driven Service Selection in Multi-cloud Applications. In Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing (pp. 9-14). IEEE/ACM. https://doi.org/10.1145/3368235.3368831

Vancouver

Elhabbash A, Elkhatib Y, Blair G, Lin Y, Barker A, Thomson J. Envisioning SLO-driven Service Selection in Multi-cloud Applications. In Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. IEEE/ACM. 2019. p. 9-14 https://doi.org/10.1145/3368235.3368831

Author

Elhabbash, Abdessalam ; Elkhatib, Yehia ; Blair, Gordon ; Lin, Yuhui ; Barker, Adam ; Thomson, John. / Envisioning SLO-driven Service Selection in Multi-cloud Applications. Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. IEEE/ACM, 2019. pp. 9-14

Bibtex

@inproceedings{c7a23c04db8347b89463fd563cb1dfa7,
title = "Envisioning SLO-driven Service Selection in Multi-cloud Applications",
abstract = "The current large selection of cloud instances that are functionally equivalent makes selecting the right cloud service a challenging decision. We envision a model driven engineering (MDE) approach to raise the level of abstraction for cloud service selection. One way to achieve this is through a domain specific language (DSL) for modelling the service level objectives (SLOs) and a brokerage system that utilises the SLO model to select services. However, this demands an understanding of the provider SLAs and the capabilities of the current cloud modelling languages (CMLs). This paper investigates the state-of-the-art for SLO support in both cloud providers SLAs and CMLs in order to identify the gaps for SLO support. We then outline research directions towards achieving the MDE-based cloud brokerage.",
author = "Abdessalam Elhabbash and Yehia Elkhatib and Gordon Blair and Yuhui Lin and Adam Barker and John Thomson",
year = "2019",
month = "12",
day = "1",
doi = "10.1145/3368235.3368831",
language = "English",
isbn = "9781450370448",
pages = "9--14",
booktitle = "Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing",
publisher = "IEEE/ACM",

}

RIS

TY - GEN

T1 - Envisioning SLO-driven Service Selection in Multi-cloud Applications

AU - Elhabbash, Abdessalam

AU - Elkhatib, Yehia

AU - Blair, Gordon

AU - Lin, Yuhui

AU - Barker, Adam

AU - Thomson, John

PY - 2019/12/1

Y1 - 2019/12/1

N2 - The current large selection of cloud instances that are functionally equivalent makes selecting the right cloud service a challenging decision. We envision a model driven engineering (MDE) approach to raise the level of abstraction for cloud service selection. One way to achieve this is through a domain specific language (DSL) for modelling the service level objectives (SLOs) and a brokerage system that utilises the SLO model to select services. However, this demands an understanding of the provider SLAs and the capabilities of the current cloud modelling languages (CMLs). This paper investigates the state-of-the-art for SLO support in both cloud providers SLAs and CMLs in order to identify the gaps for SLO support. We then outline research directions towards achieving the MDE-based cloud brokerage.

AB - The current large selection of cloud instances that are functionally equivalent makes selecting the right cloud service a challenging decision. We envision a model driven engineering (MDE) approach to raise the level of abstraction for cloud service selection. One way to achieve this is through a domain specific language (DSL) for modelling the service level objectives (SLOs) and a brokerage system that utilises the SLO model to select services. However, this demands an understanding of the provider SLAs and the capabilities of the current cloud modelling languages (CMLs). This paper investigates the state-of-the-art for SLO support in both cloud providers SLAs and CMLs in order to identify the gaps for SLO support. We then outline research directions towards achieving the MDE-based cloud brokerage.

U2 - 10.1145/3368235.3368831

DO - 10.1145/3368235.3368831

M3 - Conference contribution/Paper

SN - 9781450370448

SP - 9

EP - 14

BT - Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing

PB - IEEE/ACM

ER -