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

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

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.

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

• Journal Article Type: Article
• Acceptance Date: Nov 28, 2018
• Online Publication Date: Jan 24, 2019
• Publication Date: Dec 31, 2019
• Deposit Date: Dec 10, 2018
• Publicly Available Date: Dec 10, 2018
• Journal: Journal of cloud computing
• Electronic ISSN: 2192-113X
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Article Number: 1
• 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
• Public URL: http://hdl.handle.net/10059/3230
• Contract Date: Dec 10, 2018