Abstract

Cloud Storage Providers (CSPs) provide geography features of an area data stores offering numerous classes for storage accompanied by various costs. One significant problem faced by cloud consumers is how to utilize these storage classes to deliver a device with the time-varying workload on its objects at a minimal price. This price includes the price of resident (for example, storage, put and get prices) and the possible migration price (for example, network price). This paper proposes the Replication and Migration Cost Minimization (RMCM) algorithm in Green Cloud Computing to tackle this issue. This algorithm is using VM’s direct migration method, which could decrease data centre prices and power usage by combining virtual resources. To decrease the price of data-placement for devices accompanied by varying workloads over time, developers must make optimal use of the price variation between storage and network services across multiple CSPs. This paper proposes an optimal cost-effective technique (OCET) for copying and migrating data into cloud data centres accompanied by numerous storage classes to attain this aim. This work goal to achieve price reduction in the load assign procedures in multiple data centre environments where virtual machines allocated to a provided data center taking into account energy price differences and the availability of local renewable power generation. The simulation outcomes demonstrate that the RMCM and OCET algorithm could reduce a replication and migration cost and decrease the power consumption of data centre in green cloud computing efficiently.