Cloud Computing: Algorithmic Appraisal by Response Time

Think of cloud computing as outsourcing your computer power and storage needs to the internet. Instead of relying on your personal device's resources, we utilize remotely throughout internet to store, supervise, and also process the data. It's like having a virtual power house that you can access from anywhere, as long as you have an internet connection. This way, we can level our computing resources increase as well as decrese based on wants without the invest related to the physical infrastructure. Load balancing in cloud computing is like juggling multiple tasks to make sure no one server is overwhelmed while others are underutilized. The challenge lies in predicting and distributing the workload efficiently. If not done well, it can lead to issues like performance bottlenecks, resource waste, and scalability challenges and complexity. There are a number of approaches used in cloud computing to optimise task schedules. Through this paper, a measurement of various selected algorithms will be done that gives the outcomes based on response time. These three algorithms provide the results of overall response time in three ways: minimum, maximum, and average, according to the simulation of the cloud analyst tool.