GCRS – Green Computing Resource Scheduler: An Optimized Energy Efficient Cloud Data Centers to Scale Down Carbon Emission

Cloud computing is a powerful technology that is rapidly growing in popularity with energy consumption being a major concern. Cloud data centers consume a lot of energy, which can lead to high operating costs and carbon emissions. This is a significant bottleneck restricting the development of cloud computing. If people continue to rely on traditional data centers, the environmental impact of cloud computing will only get worse. Green cloud computing solutions are needed to address this challenge. Green cloud computing solutions are designed to utilize cloud resources while minimizing energy consumption efficiently. Cloud computing providers offer different levels of service, which are defined in service-level agreements (SLAs). SLAs typically include things like the availability of the service, the response time for requests, and the resources that are assigned to the cloud clients. Cloud computing providers try to best exploit their resources by allocating them to users which enhances utilization and lowers the idle time. This can be done by using scheduling algorithms. In the proposed work“ data centers or servers maintain data for clients to read and write. Servers are classified as read-and-write servers separately based on their capacity, and read-and-write tasks are assigned accordingly. The model uses every server's full potential, resulting in an environment that consumes less energy. The objective of the proposed Green Computing Resource Scheduling (GCRS) is to reduce the energy consumed and the carbon emitted by the data center through scheduling resources.