Optimizing Workflow Task Allocation in Cloud Computing Environments

Abstract

Services like newline Infrastructure, Platform, and Software are made possible by cloud computing, an essential technology. It is difficult to distribute available resources and balance the load effectively while providing these services to newline's many cloud customers. There is no need to allocate additional resources to handle requests when using the defragmentation newline approach, which is one way for load balancing. This leads to greater resource utilisation. Lastly, an experimental investigation is conducted using the Cloud Sim tool to demonstrate the approach's applicability. The findings show that suggested mechanisms, such as task consolidation and defragmentation, outperform previous solutions.