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

• Main Authors: Laud Charles Ochei, Andrei Petrovski, Julian M. Bass
• Format: Article
• Language: English
• Published: SpringerOpen 2019-01-01
• Series: Journal of Cloud Computing: Advances, Systems and Applications
• Subjects: Cloud-hosted application; Multitenancy; Degree of isolation; Queuing network; Metaheuristic; Component
• Online Access: http://link.springer.com/article/10.1186/s13677-018-0124-5

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 model-based 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.