An Efficient Approach with Modified Butterfly Optimization Algorithm for Task Scheduling and DLAT Based Cloud Data Security

One of the most popular new technologies, cloud computing allows users to store and process massive amounts of data together with a wide variety of other computing resources. Scheduling tasks effectively is difficult, and inefficient management can lead to a drop in productivity. The task needs to be scheduled so that it runs quickly while using few resources as possible. As a result, this research suggests a novel approach to cloud-based work scheduling that incorporates increased security. To maximise throughput while minimising make span, a modified butterfly optimisation algorithm is developed for scheduling tasks. Secondly, user centric block level attribute-based encryption and decryption method is proposed for the security of data stored in the cloud. The suggested method utilises the block chain to carry out data transactions. Simulation results are carried out. The results demonstrated that the proposed method achieved superior results when compared to existing methods