Published Paper Details:

Because of the added complexity of dealing with quality of service (QoS) needs in a highly virtualized dynamic environment, the cloud computing paradigm brings new problems to performance management of both applications and infrastructure. This is especially true.This is true for either SaaS apps in public clouds that are being launched into production with strict security requirements, or for SaaS applications in private clouds that are being deployed into production with strict security SLAs or important internal applications developed on private cloud PaaS/IaaS infrastructures.As a result, performance testing activities are critical for lowering the risks associated with software development. Managing significant changes in user and transaction workloads or deploying to production. Enterprise apps have been migrating to the cloud in large numbers in recent years. Managing QoS, the difficulty of assigning resources to the application in order to provide a service level in terms of performance, availability, and dependability, is one of the difficulties faced by cloud applications. QoS modelling approaches applicable for cloud systems are summarised in this paper, which aims to help researchers in this area. We also discuss and characterise their early use in different cloud QoS management decision-making concerns.