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Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation.

Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M

Authors

Laud Charles Ochei

Andrei Petrovski

Julian M Bass



Abstract

One of the challenges of deploying multitenant cloud-hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the components when there is a change in the workload. Achieving the highest degree of isolation implies deploying a component exclusively for one tenant; which leads to high resource consumption and running cost per component. A low degree of isolation allows sharing of resources which could possibly reduce cost, but with known limitations of performance and security interference. This paper presents a model-based algorithm together with four variants of a metaheuristic that can be used with it, to provide near-optimal solutions for deploying components of a cloud-hosted application in a way that guarantees multitenancy isolation. When the workload changes, the modelbased algorithm solves an open multiclass QN model to determine the average number of requests that can access the components and then uses a metaheuristic to provide near-optimal solutions for deploying the components. Performance evaluation showed that the obtained solutions had low variability and percent deviation when compared to the reference/optimal solution. We also provide recommendations and best practice guidelines for deploying components in a way that guarantees the required degree of isolation.

Journal Article Type Article
Publication Date Dec 31, 2019
Journal Journal of cloud computing
Electronic ISSN 2192-113X
Publisher Springer (part of Springer Nature)
Peer Reviewed Peer Reviewed
Volume 8
Article Number 1
Institution Citation OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2019. Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation. Journal of cloud computing [online], 8, article 1. Available from: https://doi.org/10.1186/s13677-018-0124-5
DOI https://doi.org/10.1186/s13677-018-0124-5
Keywords Cloud-hosted application; Multitenancy; Degree of isolation; Queuing network; Metaheuristic; Component; Cloud deployment; Optimization; Decision; Support system

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