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

Abstract

One of the challenges of deploying multitenant cloud-hostedservices that are designed to use (or be integrated with) severalcomponents is how to implement the required degreeof isolation between the components when there is a changein the workload. Achieving the highest degree of isolationimplies deploying a component exclusively for one tenant;which leads to high resource consumption and running costper component. A low degree of isolation allows sharing ofresources which could possibly reduce cost, but with knownlimitations of performance and security interference. Thispaper presents a model-based algorithm together with fourvariants of a metaheuristic that can be used with it, to providenear-optimal solutions for deploying components of acloud-hosted application in a way that guarantees multitenancyisolation. When the workload changes, the model basedalgorithm solves an open multiclass QN model todetermine the average number of requests that can accessthe components and then uses a metaheuristic to providenear-optimal solutions for deploying the components. Performanceevaluation showed that the obtained solutions hadlow variability and percent deviation when compared to thereference/optimal solution. We also provide recommendationsand best practice guidelines for deploying componentsin a way that guarantees the required degree of isolation