Abstract
Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s access and overall performance if one tenant abruptly experiences a significant workload, particularly if the application fails to accommodate this sudden increase in workload. In cases where a there is a higher or varying degree of isolation between components, this issue can become severe. This paper aims to present novel solutions for deploying components of a cloud-hosted application with the purpose of guaranteeing the required degree of multitenancy isolation through a mathematical optimization model and metaheuristic algorithm. Research conducted through this paper demonstrates that, when compared, optimal solutions achieved through the model had low variability levels and percent deviation. 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.
Highlights
Designing and planning component deployment of a cloudhosted application with multiple tenants demands special consideration of the exact category of components that are to be distributed, the number of components to be shared, and the supporting cloud resources required for component deployment. [1] This is because there are different or varying degrees of multitenancy isolation
A high degree of isolation tends to deliver less security interference, there are challenges instigated by high running costs and resource consumption in view that these tenants are not sharing
The software architect's main challenge is to first identify solutions to the opposing trade-off of high degrees of isolation, versus low degrees of isolation. Motivated by these key challenges, this paper presents a model for the deployment of components which provides exemplary solutions specific to cloud-based applications and aims to do so in a way that secures the segregation of multitenancy
Summary
Designing and planning component deployment of a cloudhosted application with multiple tenants demands special consideration of the exact category of components that are to be distributed, the number of components to be shared, and the supporting cloud resources required for component deployment. [1] This is because there are different or varying degrees of multitenancy isolation. In components providing critical functionality, the degree of isolation is higher compared to components that only require slight re-configuration prior to deployment [2]. A high degree of isolation tends to deliver less security interference, there are challenges instigated by high running costs and resource consumption in view that these tenants are not sharing. Motivated by these key challenges, this paper presents a model for the deployment of components which provides exemplary solutions specific to cloud-based applications and aims to do so in a way that secures the segregation of multitenancy. The approach is analysed through comparing the different optimal solutions achieved which collectively compose an exhaustive search tool to analyse the solutions capacity specifially for minor problem occurance, in its entireity
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