Dr Amjad Ullah A.Ullah@napier.ac.uk
Lecturer
Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach
Ullah, Amjad; Li, Jingpeng; Hussain, Amir
Authors
Jingpeng Li
Prof Amir Hussain A.Hussain@napier.ac.uk
Professor
Abstract
Elasticity enables cloud customers to enrich their applications to dynamically adjust underlying cloud resources. Over the past, a plethora of techniques have been introduced to implement elasticity. Control theory is one such technique that offers a systematic method to design feedback controllers to perform elasticity. Many of the available such approaches utilise the single system model. However, for cloud applications that are subject to time varying workload conditions (e.g., e-commerce applications), it becomes difficult for such approaches to perform effectively at all times to achieve the desired performance goals. This paper exploits the novel use of a recently developed multi-controller based approach, where each controller is designed specifically for different operating conditions. Moreover, the use of fuzzy logic is exploited for the selection of a suitable controller at runtime. Initial results in comparison with the conventional feedback control approach demonstrate better achievement of the performance goals.
Citation
Ullah, A., Li, J., & Hussain, A. (2018). Towards workload-aware cloud resource provisioning using a multi-controller fuzzy switching approach. International Journal of High Performance Computing and Networking, 12(1), 13-25. https://doi.org/10.1504/IJHPCN.2018.093838
Journal Article Type | Article |
---|---|
Online Publication Date | Jul 27, 2018 |
Publication Date | 2018 |
Deposit Date | Jul 19, 2019 |
Journal | International Journal of High Performance Computing and Networking |
Print ISSN | 1740-0562 |
Electronic ISSN | 1740-0570 |
Publisher | Inderscience |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 1 |
Pages | 13-25 |
DOI | https://doi.org/10.1504/IJHPCN.2018.093838 |
Keywords | cloud elasticity; control theory; multi-controller; fuzzy logic; auto-scaling; dynamic resource provisioning; feedback controllers; multi-model; elasticity rules |
Public URL | http://researchrepository.napier.ac.uk/Output/1792409 |
Related Public URLs | https://www.storre.stir.ac.uk/handle/1893/28857 |
You might also like
Genetic optimization of fuzzy membership functions for cloud resource provisioning
(2017)
Presentation / Conference Contribution
Towards a Biologically Inspired Soft Switching Approach for Cloud Resource Provisioning
(2016)
Journal Article
Design and evaluation of a biologically-inspired cloud elasticity framework
(2020)
Journal Article
Cloud apps to‐go: Cloud portability with TOSCA and MiCADO
(2020)
Journal Article
(F)unctional Sifting: A Privacy-Preserving Reputation System Through Multi-Input Functional Encryption
(2021)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search