Optimization of Data Storage and Fault Tolerance Strategies in Cloud Computing

Internet provides to us content in the forms of videos, emails and information served up in web pages. With Cloud Computing, the next generation of Internet will allow us to buy IT services from a web portal, drastic expanding the types of merchandise available beyond those on e-commerce sites such as eBay, Flipkart and Snapdeal. Our focus is to improve the performance and optimize the storage usage by providing the DaaS on the cloud, 1) Analyzing and modeling the relationship between system availability and the number of replicas 2) Evaluating and identifying the popular data and triggering a replication operation when the popularity data passes a dynamic threshold 3) Calculating a suitable number of copies to meet a reasonable system byte effective rate requirement and placing replicas among data nodes in a balanced way 4) Designing the optimized data replica algorithm in a cloud. Experimental results shows the efficiency and effectiveness of the replication by the proposed strategy in a cloud.