Hybrid Cloud Integration: Best Practices and Use Cases

Abstract

Convention will not cause the amount of difficulty that may be imagined in a cloud data centre to increase. Businesses may embrace IT without having to pay a large initial cost by using computing in the cloud. Although there are many advantages to the Internet, model security is still a problem, which has a negative impact on cloud adoption. Underneath the data centre, the security issue becomes unmanageable, and the problem scope has expanded to include model design, multiple tenancies, elasticity, and multiple levels of dependency stack. To benefit from the new processing viewpoint that provides an innovative arrangement of activities for interaction to IT, the increased security risks in cloud-based computing must be overcome. The study's goal was to lessen security's barriers and hazards by using approaches and protection techniques to guarantee optimal data protection while preserving the option for the customer to choose the initial security degree. The globe has become a global village where individuals can cooperate, communicate, and exchange information quickly and securely thanks to the prevalence of smart devices that can access the internet. Clients may share possessions and utilize a variety of on-demand services using cloud computing environments. Workflow technology in the online environment is used to manage business processes, and because activities rely on one another, this poses a difficulty to efficiently utilize resources. This study proposes a Hybrid GA-PSO method to effectively distribute workloads among the available resources. In cloud computing settings, the Hybrid GA-PSO method seeks to balance the load of dependent activities among heterogeneous resources while reducing make span and cost. The experiment's findings demonstrate that, when compared to the GA, the PSO method, HSGA, WSGA, and MTCT computer programs, the GA-PSO approach reduces the workflow tasks' overall execution time. Moreover, it lowers the cost of performance.