Storage Optimization in Cloud Computing Using Discrete Firefly Algorithm to Minimize the Cost

Organizations incline to ruminate of data storage as an adjuvant service and do not elevate storage after data is stirred to the cloud. Many also fail to clean up unexploited storage and let these services run for days, weeks, and even months at imperative cost Proposed work offers a broad and foldable arrangement of information stockpiling decisions that move between various layers of capacity and change stockpiling types whenever. Our work likewise examines how to choose capacity benefits that meet information stockpiling wants at the most minimal expense and how to raise these administrations utilizing proposed discrete firefly algorithm to accomplish balance between concert, obtainability, and sturdiness. While basic storage arrangements could check the bytes and even de-duplicate information, they couldn’t figure the business estimation of substance or the danger of losing data. Our Proposed work shows, our storage optimization analytics elucidation is facilitating creativities to better cognize their content and reduce storage expenditures by stirring the precise data to the cloud.