In order to reduce the energy costs of running cloud computing services, this study looked into the methodologies and algorithms used in Green Cloud Computing (GCC). Huge datacenters and network transferring services need a lot of energy, which results in a lot of CO2. As a result, the GCC concept has arisen and evolved in order to reduce electrical power energy consumption and worldwide carbon dioxide emissions while also maintaining the services' long-term sustainability, dependability, and efficiency. In this research work, Cloud Analyst simulation software was used to mimic six datacenters in regular operation for six users in diverse locations around the world during a 365-day period. The TLB and ORTP Service Broker algorithm combination is the ideal algorithm combination because it has the fastest reaction time, which means it uses fewer resources and equipment, saving power and money. On the other side, the ESCELB Policy and ORTP Broker is the worst algorithm combination since it takes the longest time to respond, consumes more power, and increases overall cost. As a result, the study concludes that TLB and ORTP strategies should be implemented for effective green cloud computing in a safer environment.