Provide a constrained scheduling optimization method to reduce energy consumption in cloud computing

Cloud computing has become an extremely attractive and practical topic these days. The National Institute of Technology and Standards defines it: Cloud computing is a model for requesting access to a customizable, shared computing source on the network. Much attention is paid to cloud security and storage. This technology, like other applied sciences, faces various challenges. One of the most important ones that is considered today all over the world and in all fields is energy consumption and cost. Data centers that are the foundation of cloud computing. They are made of huge computing systems that in some cases their energy consumption is equal to the energy consumption of a city and in addition this issue has increased the emission of greenhouse gases that are harmful to the environment. Here we examine ways to reduce consumption Energy and cost in data centers Reduce the use of cooling systems and load balancing between the servers of these centers to reduce energy consumption, cost, environmental friendliness in cloud computing. In this algorithm, load balancing based on a function of parameters including volume Server load Ambient temperature Temperature Servers Regional energy cost of the data center Decides which server and input load to send to which server and data center and constantly monitors other servers and finally simulates the proposed algorithm Load balancing and reviewing the results to reduce energy consumption and cost and the results show that the proposed algorithm has a good effect on reducing cost and energy but increases the response time