Article Preview
TopIntroduction
Now a day’s most of the countries are working rapidly for the development of computing services. The common way which is to be used in most of the research is that the cloud resources are taken on a rent basis by the providers on the requirement of services on the suitable cost. According to a recently published survey report, organizations run 53% of their workload in the cloud, and 50% of data from organizations is stored in the cloud (Garg, 2020). It is predicted that by 2025, 80% of organizations will be migrated to the cloud. According to the prediction (Garg, 2020), in 2021, the total spending on public cloud services will be $304.9 billion which is 18.4% more than 2020 (Yadav, 2022). However, the challenges to RP include dispersion, uncertainty and heterogeneity of resources, dynamic changes in the workload, etc. that are not resolved with traditional RP approaches in cloud environment. So, there is a requirement of a optimizing the RP that handles the performance, management, heterogeneity of cloud (Garg, 2013). Moreover, resource under provisioning may lead to violation of SLA of users request and resource over provisioning increase the economic cost. Hence there is a requirement of optimizing the resource provisioning. The environment of cloud computing focusing through structure which is based on resource management system. The CSPs pursue to assure SLAs which is agreed by end users. The SLAs is done in advance between CSPs and end users. There is lot of scope in SLAs parameters like availability of services, performance of service, resource security and privacy, problem resolution, change management and dispute mediation. The services are provided by the cloud service providers on the sort-term period and long-term period. Based on some previous knowledge the end users can take their own decisions that whether they have to do the reservation of services on an advanced basis.