Nowadays, more enterprises and organizations are facilitating their data into the cloud, keeping in mind the end goal to decrease the IT maintenance cost and improve the data reliability. However, confronting the various cloud vendors and additionally their diversified pricing policies, clients may well be puzzled with which cloud(s) are suitable for storing their data and what hosting strategy is less expensive. The general existing conditions is that customer typically put their data into a single Cloud and afterward just trust to luck. In view of far reaching investigation of numerous best in class cloud vendors, this paper proposes a novel data hosting scheme (named CHARM) which coordinates two key functions desired. The principal is selecting a few suitable clouds and a fitting redundancy strategy to store data with minimized fiscal cost and ensured availability. The second is setting off a conversion process to re-distribute data as per the variations of data access pattern and pricing of clouds. We evaluate the performance of CHARM utilizing both trace-driven simulations and model experiments. The outcomes demonstrate that contrasted and the significant existing schemes, CHARM not just saves around 20% of fiscal cost additionally displays adaptability to data and price adjustments.