Reducing Failure Probability of cloud storage services using Multi-Clouds

Certificate I hereby declare that the work, which is being presented in the Seminar, entitled " Reducing Technical University, Kota is a record of my own investigations carried under the guidance of Mr. I have not submitted the matter presented in this Dissertation Review any where for the award of any other Degree. Acknowledgment It is my great privilege to express sincere gratitude & thanks to my supervisor Mr. his valuable guidance during each and every phase of this work. The keen observation and motivating style of critique and compliment kept me stimulated towards perfection. I thank him for the interest and energy that was committed to the seminar and for allowing me a wide academic freedom. I would also like to thank Mr. RTU, Kota whose motivation and guidance to me in this work is unforgettable. I would also thank my family for their help, support and patience. Not the least, I would thank Almighty for blessing me. Abstract The work presents a model of a horizontal scaling in cloud storage and studies the optimal multi-cloud storage providers selection within a given budget. The model takes due consideration to many dimensions in cloud storage like cost, performance, security and privacy, and availability. While estimating the cost of cloud storage services, apart from storage cost, other costs like data in costs, data out costs, PUT and GET requests costs are also included. Any information is valuable as long as it has related data. If related data are not put together, the information is meaningless as unrelated data has no value. The mapped information is required only by authenticated users. So there is no necessity to store related information together. If the relations of a database are fragmented into chunks and these chunks are stored at different cloud service providers, it could prevent from any privacy breach and the data stored will be secure. It would also reduce the data transfer costs as the entire data is not always required, for e.g. during updates. Also, instead of storage of chunks at a single CSP, if each chunk or fragment is stored at multiple CSPs it ensures availability and also permits concurrent access. Additionally, it would prevent financial loss during cloud outages and also prevent data lock-in. Replicating data chunks at multiple clouds situated at geographically different locations would also have an additional decrease in response time. The work attempts to select …