St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Envisioning SLO-driven service selection in multi-cloud applications

Thumbnail
View/Open
Elhabbash2019sloselection.pdf (392.6Kb)
Date
02/12/2019
Author
Elhabbash, Abdessalam
Elkhatib, Yehia
Blair, Gordon S.
Lin, Yuhui
Barker, Adam
Thomson, John
Funder
EPSRC
Grant ID
EP/R010528/1
Keywords
Cloud computing
Cloud Modelling Languages
Domain specific language
Service Level Agreements
Service Level Objectives
QA75 Electronic computers. Computer science
Computer Networks and Communications
Hardware and Architecture
T-NDAS
Metadata
Show full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
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.
Citation
Elhabbash , A , Elkhatib , Y , Blair , G S , 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 . Association for Computing Machinery, Inc , 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
 
conference
 
Publication
UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing
DOI
https://doi.org/10.1145/3368235.3368831
Type
Conference item
Rights
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
Description
Funding: Adaptive Brokerage for the Cloud (ABC) project, UK EPSRC grants EP/R010889/1 and EP/R010528/1.
Collections
  • University of St Andrews Research
URL
https://eprints.lancs.ac.uk/id/eprint/138561/
URI
http://hdl.handle.net/10023/19334

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter