Envisioning SLO-driven service selection in multi-cloud applications

Abdessalam Elhabbash; Yehia Elkhatib; Gordon S. Blair; Yuhui Lin; Adam Barker; John Thomson

doi:10.1145/3368235.3368831

Envisioning SLO-driven service selection in multi-cloud applications

Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker, John Thomson

School of Computer Science

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

3 Citations (Scopus)

4 Downloads (Pure)

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.

Original language	English
Title of host publication	UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing
Publisher	ACM
Pages	9-14
Number of pages	6
ISBN (Electronic)	9781450370448
DOIs	https://doi.org/10.1145/3368235.3368831
Publication status	Published - 2 Dec 2019
Event	12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019 - Auckland, New Zealand Duration: 2 Dec 2019 → 5 Dec 2019 Conference number: 12

Conference

Conference	12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019
Abbreviated title	UCC
Country/Territory	New Zealand
City	Auckland
Period	2/12/19 → 5/12/19

Keywords

Cloud computing
Cloud Modelling Languages
Domain specific language
Service Level Agreements
Service Level Objectives

Access to Document

10.1145/3368235.3368831

Elhabbash2019sloselection
Copyright © 2019 Association for Computing Machinery. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3368235.3368831
Accepted author manuscript, 393 KB

https://eprints.lancs.ac.uk/id/eprint/138561/

ABC: Adaptive Brokerage for the Cloud: ABC: Adaptive Brokerage for the Cloud
Barker, A. D. (PI) & Thomson, J. D. (CoI)
EPSRC
1/04/18 → 30/09/22
Project: Standard

Cite this

@inproceedings{1523c6a59a2b4ec998e8c64c5435b178,

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.",

keywords = "Cloud computing, Cloud Modelling Languages, Domain specific language, Service Level Agreements, Service Level Objectives",

author = "Abdessalam Elhabbash and Yehia Elkhatib and Blair, {Gordon S.} and Yuhui Lin and Adam Barker and John Thomson",

note = "Funding: Adaptive Brokerage for the Cloud (ABC) project, UK EPSRC grants EP/R010889/1 and EP/R010528/1.; 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, UCC ; Conference date: 02-12-2019 Through 05-12-2019",

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month = dec,

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doi = "10.1145/3368235.3368831",

language = "English",

pages = "9--14",

booktitle = "UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing",

publisher = "ACM",

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Elhabbash, A, Elkhatib, Y, Blair, GS, Lin, Y, Barker, A & Thomson, J 2019, Envisioning SLO-driven service selection in multi-cloud applications. in UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing. ACM, pp. 9-14, 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019, Auckland, New Zealand, 2/12/19. https://doi.org/10.1145/3368235.3368831

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AU - Elkhatib, Yehia

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AU - Barker, Adam

AU - Thomson, John

N1 - Conference code: 12

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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.

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KW - Cloud Modelling Languages

KW - Domain specific language

KW - Service Level Agreements

KW - Service Level Objectives

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M3 - Conference contribution

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Envisioning SLO-driven service selection in multi-cloud applications

Abstract

Conference

Keywords

Access to Document

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Projects

ABC: Adaptive Brokerage for the Cloud: ABC: Adaptive Brokerage for the Cloud

Cite this