research-article

SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications

Authors:

Abdessalam Elhabbash,

Assylbek Jumagaliyev,

Gordon S. Blair,

Yehia ElkhatibAuthors Info & Claims

UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

Pages 241 - 250

https://doi.org/10.1145/3344341.3368805

Published: 02 December 2019 Publication History

Abstract

Cloud modelling languages (CMLs) are designed to assist customers in tackling the diversity of services in the current cloud market. While many CMLs have been proposed in the literature, they lack practical support for automating the selection of services based on the specific service level objectives of a customer's application. We put forward SLO-ML, a novel and generative CML to capture service level requirements. Subsequently, SLO-ML selects the services to honour the customer's requirements and generates the deployment code appropriate to these services. We present the architectural design of SLO-ML and the associated broker that realises the deployment operations. We evaluate SLO-ML using an experimental case study with a group of researchers and developers using a real-world cloud application. We also assess SLO-ML's overheads through empirical scalability tests. We express the promises of SLO-ML in terms of gained productivity and experienced usability, and we highlight its limitations by analysing it as application requirements grow.

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Cited By

Pusztai TMorichetta APujol VDustdar SNastic SDing XVij DXiong Y(2021)SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs2021 IEEE International Conference on Web Services (ICWS)10.1109/ICWS53863.2021.00017(21-31)Online publication date: Sep-2021
https://doi.org/10.1109/ICWS53863.2021.00017
Yen JWang JSupittayapornpong SVieira MGovindan RRaghavan BHan DFeldmann A(2020)Meeting SLOs in cross-platform NFVProceedings of the 16th International Conference on emerging Networking EXperiments and Technologies10.1145/3386367.3431292(509-523)Online publication date: 23-Nov-2020
https://dl.acm.org/doi/10.1145/3386367.3431292

Index Terms

SLO-ML: A Language for Service Level Objective Modelling in Multi-cloud Applications
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Software and its engineering
  1. Software notations and tools
    1. Context specific languages
      1. Domain specific languages

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cover image ACM Conferences

UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing

December 2019

307 pages

ISBN:9781450368940

DOI:10.1145/3344341

General Chairs:
Kenneth Johnson
Auckland University of Technology, New Zealand
,
Josef Spillner
Zurich University of Applied Sciences, Switzerland
,
Program Chairs:
Dalibor Klusáček
CESNET
,
Ashiq Anjum
University of Derby

Copyright © 2019 ACM.

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SIGARCH: ACM Special Interest Group on Computer Architecture
IEEE TCSC: IEEE Technical Committee on Scalable Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2019

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The Engineering and Physical Sciences Research Council (EPSRC)

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UCC '19

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SIGARCH
IEEE TCSC

UCC '19: IEEE/ACM 12th International Conference on Utility and Cloud Computing

December 2 - 5, 2019

Auckland, New Zealand

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Overall Acceptance Rate 38 of 125 submissions, 30%

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UCC '24

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sigarch

2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing

December 16 - 19, 2024

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Cited By

Pusztai TMorichetta APujol VDustdar SNastic SDing XVij DXiong Y(2021)SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity-Driven SLOs2021 IEEE International Conference on Web Services (ICWS)10.1109/ICWS53863.2021.00017(21-31)Online publication date: Sep-2021
https://doi.org/10.1109/ICWS53863.2021.00017
Yen JWang JSupittayapornpong SVieira MGovindan RRaghavan BHan DFeldmann A(2020)Meeting SLOs in cross-platform NFVProceedings of the 16th International Conference on emerging Networking EXperiments and Technologies10.1145/3386367.3431292(509-523)Online publication date: 23-Nov-2020
https://dl.acm.org/doi/10.1145/3386367.3431292

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