An Analyzing the performance of a task scheduling algorithm in Cloud-Fog Computing is an important aspect of understanding the capabilities of the technology. By understand- ing the effectiveness of the scheduling algorithm, developers can make informed decisions about how to optimize their Cloud- fog computing applications. Task scheduling algorithms in Cloud- fog computing are used to allocate resources to tasks in order to achieve optimal performance measures such as Execution time throughput, and Number of nodes used. Different scheduling algorithms can be used to address different performance re- quirements, and each algorithm has its own set of advantages and disadvantages. Performance analysis can help identify which scheduling algorithm is best suited for a particular application, taking into account factors such as latency, node used, and task priorities. Additionally, performance analysis can provide insight into the scalability of a task scheduling algorithm and how it can be optimized for different workloads. Here we implement an algorithm which helps to execute a task in Cloud-fog environment with some basic parameter like time required, Number of flog node used Etc.