Background: Cloud databases allow for the storage and retrieval of large amounts of distributed data on a massive scale. This work proposes and implements new algorithms for cloud data storage that perform data lessening and rapid processing in order to effectively perform secure storage and retrieval operations. Methods : Deep Belief Network (DBN) incorporates with Map Reduce techniques has been used for the enhance the cloud-security. Auditing and signature verification techniques can also help improve security. Findings : An audit-based security mechanism that relies on the trust of third parties has been proposed in this research. To summarise, these algorithms improve security while also speeding up computation. Based on load distribution and balancing methods, a new algorithm has been proposed to optimise power and performance in cloud computing. Such environment is also characterised by a novel algorithm for optimising power and performance based on load distribution and balancing techniques. Novelty :The proposed storage and retrieval methods are effectively utilised by all of these algorithms, which improves data security while also speeding up processing.

Round-Robin Algorithm, Scheduling algorithm, Cloud Security, Deep Belief Network.