Enhancing Task Scheduling in Cloud Computing: A Multi-Objective Cuckoo Search Algorithm Approach

Services that are delivered and managed online employ cloud computing. Without taking into account the end user's actual location, cloud computing offers data access and storage devices. Clouds are quickly becoming as a crucial application platform for science. Due to the limitless number of nodes in the cloud environment, resources are inherently unstable, which has a significant impact on task execution and scheduling. Hardware, virtualization, distributed computing, and Internet-based service delivery improvements in recent years have all contributed to the evolution of cloud computing. Cloud computing may not entail many cutting-edge technology, but it does offer a novel approach to IT management. An essential and crucial issue in cloud systems is the proper scheduling of jobs that have been received across service providers. In cloud settings, the scheduling problem is NP-hard. The current system offers a scheduling algorithm that takes care of the main problems with job scheduling in the cloud. To plan the jobs in cloud computing for this project, the system suggested a method called Multi Objective Cuckoo Search.