The paper "A Survey Paper on Quality of Service in Cloud Computing" by Poonam Khot and S. D. Satav explores the financial aspects of cloud computing, focusing on how service providers can maximize their profits while ensuring quality of service (QoS). The authors propose a novel Double-Quality-Guaranteed (DOG) renting scheme that combines short-term and long-term renting to reduce resource waste and adapt to dynamic demand. They treat a multi-server system as an M/M/m queuing model and consider two server speed and power consumption models: the idle-speed model and the constant-speed model. The paper derives the probability density function of the waiting time for a new service request and calculates the expected service charge. The authors also discuss the importance of considering various factors such as service level agreements (SLAs), customer satisfaction, and power consumption in optimizing the multi-server system's configuration. The paper concludes with a survey table and references to related literature, highlighting the challenges and future directions in cloud computing resource management and pricing strategies.The paper "A Survey Paper on Quality of Service in Cloud Computing" by Poonam Khot and S. D. Satav explores the financial aspects of cloud computing, focusing on how service providers can maximize their profits while ensuring quality of service (QoS). The authors propose a novel Double-Quality-Guaranteed (DOG) renting scheme that combines short-term and long-term renting to reduce resource waste and adapt to dynamic demand. They treat a multi-server system as an M/M/m queuing model and consider two server speed and power consumption models: the idle-speed model and the constant-speed model. The paper derives the probability density function of the waiting time for a new service request and calculates the expected service charge. The authors also discuss the importance of considering various factors such as service level agreements (SLAs), customer satisfaction, and power consumption in optimizing the multi-server system's configuration. The paper concludes with a survey table and references to related literature, highlighting the challenges and future directions in cloud computing resource management and pricing strategies.