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Tenants associated with a cloud-hosted application share components and resources in order to reduce resource consumption and running cost. However, if one of the tenants experiences a high workload, the performance and access privileges of other tenants may be affected, especially if the application does not scale-up when the workload of one of the tenents increases suddenly. This problem may be more serious when some components have a higher or varying degrees of isolation among them. This paper presents a decision-based model composed of: (i) optimization model, (ii) open multiclass queuing network (QN) model, and (iii) metaheuristic algorithm to provide optimal solutions for deploying components of a cloud-hosted application in a way that guarantees the required degree of multitenancy isolation. Our experiments show that the optimal solutions obtained from our model had low variability and percent deviation when compared to the optimal solutions. This paper additionally provides areas of application of our optimization model as well as challenges and recommendations for deploying components associated with varying degrees of isolation.

A Decision-based Model for Optimizing the Deployment of Cloud-hosted Application Components to Guarantee Multitenancy Isolation